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Publisher: Emerald   (Total: 356 journals)

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Showing 1 - 200 of 356 Journals sorted alphabetically
A Life in the Day     Hybrid Journal   (Followers: 12)
Academia Revista Latinoamericana de Administración     Open Access   (Followers: 2, SJR: 0.178, CiteScore: 1)
Accounting Auditing & Accountability J.     Hybrid Journal   (Followers: 32, SJR: 1.71, CiteScore: 3)
Accounting Research J.     Hybrid Journal   (Followers: 25, SJR: 0.144, CiteScore: 0)
Accounting, Auditing and Accountability J.     Hybrid Journal   (Followers: 25, SJR: 2.187, CiteScore: 4)
Advances in Accounting Education     Hybrid Journal   (Followers: 17, SJR: 0.279, CiteScore: 0)
Advances in Appreciative Inquiry     Hybrid Journal   (Followers: 1, SJR: 0.451, CiteScore: 1)
Advances in Autism     Hybrid Journal   (Followers: 32, SJR: 0.222, CiteScore: 1)
Advances in Dual Diagnosis     Hybrid Journal   (Followers: 47, SJR: 0.21, CiteScore: 1)
Advances in Gender Research     Full-text available via subscription   (Followers: 5, SJR: 0.16, CiteScore: 0)
Advances in Intl. Marketing     Full-text available via subscription   (Followers: 6)
Advances in Mental Health and Intellectual Disabilities     Hybrid Journal   (Followers: 83, SJR: 0.296, CiteScore: 0)
Advances in Mental Health and Learning Disabilities     Hybrid Journal   (Followers: 30)
African J. of Economic and Management Studies     Hybrid Journal   (Followers: 10, SJR: 0.216, CiteScore: 1)
Agricultural Finance Review     Hybrid Journal   (SJR: 0.406, CiteScore: 1)
Aircraft Engineering and Aerospace Technology     Hybrid Journal   (Followers: 211, SJR: 0.354, CiteScore: 1)
American J. of Business     Hybrid Journal   (Followers: 18)
Annals in Social Responsibility     Full-text available via subscription  
Anti-Corrosion Methods and Materials     Hybrid Journal   (Followers: 11, SJR: 0.235, CiteScore: 1)
Arts and the Market     Hybrid Journal   (Followers: 9)
Asia Pacific J. of Innovation and Entrepreneurship     Open Access   (Followers: 1)
Asia Pacific J. of Marketing and Logistics     Hybrid Journal   (Followers: 8, SJR: 0.425, CiteScore: 1)
Asia-Pacific J. of Business Administration     Hybrid Journal   (Followers: 6, SJR: 0.234, CiteScore: 1)
Asian Association of Open Universities J.     Open Access   (Followers: 1)
Asian Education and Development Studies     Hybrid Journal   (Followers: 5, SJR: 0.233, CiteScore: 1)
Asian J. on Quality     Hybrid Journal   (Followers: 3)
Asian Review of Accounting     Hybrid Journal   (Followers: 2, SJR: 0.222, CiteScore: 1)
Aslib J. of Information Management     Hybrid Journal   (Followers: 30, SJR: 0.725, CiteScore: 2)
Aslib Proceedings     Hybrid Journal   (Followers: 308)
Assembly Automation     Hybrid Journal   (Followers: 2, SJR: 0.603, CiteScore: 2)
Baltic J. of Management     Hybrid Journal   (Followers: 3, SJR: 0.309, CiteScore: 1)
Benchmarking : An Intl. J.     Hybrid Journal   (Followers: 10, SJR: 0.559, CiteScore: 2)
British Food J.     Hybrid Journal   (Followers: 17, SJR: 0.5, CiteScore: 2)
Built Environment Project and Asset Management     Hybrid Journal   (Followers: 15, SJR: 0.46, CiteScore: 1)
Business Process Re-engineering & Management J.     Hybrid Journal   (Followers: 8)
Business Strategy Series     Hybrid Journal   (Followers: 6)
Career Development Intl.     Hybrid Journal   (Followers: 17, SJR: 0.527, CiteScore: 2)
China Agricultural Economic Review     Hybrid Journal   (Followers: 2, SJR: 0.31, CiteScore: 1)
China Finance Review Intl.     Hybrid Journal   (Followers: 5, SJR: 0.245, CiteScore: 0)
Chinese Management Studies     Hybrid Journal   (Followers: 4, SJR: 0.278, CiteScore: 1)
Circuit World     Hybrid Journal   (Followers: 16, SJR: 0.246, CiteScore: 1)
Collection and Curation     Hybrid Journal   (Followers: 11, SJR: 0.296, CiteScore: 1)
COMPEL: The Intl. J. for Computation and Mathematics in Electrical and Electronic Engineering     Hybrid Journal   (Followers: 3, SJR: 0.22, CiteScore: 1)
Competitiveness Review : An Intl. Business J. incorporating J. of Global Competitiveness     Hybrid Journal   (Followers: 5, SJR: 0.274, CiteScore: 1)
Construction Innovation: Information, Process, Management     Hybrid Journal   (Followers: 14, SJR: 0.731, CiteScore: 2)
Corporate Communications An Intl. J.     Hybrid Journal   (Followers: 7, SJR: 0.453, CiteScore: 1)
Corporate Governance Intl. J. of Business in Society     Hybrid Journal   (Followers: 6, SJR: 0.336, CiteScore: 1)
Critical Perspectives on Intl. Business     Hybrid Journal   (SJR: 0.378, CiteScore: 1)
Cross Cultural & Strategic Management     Hybrid Journal   (Followers: 8, SJR: 0.504, CiteScore: 2)
Data Technologies and Applications     Hybrid Journal   (Followers: 322, SJR: 0.355, CiteScore: 1)
Development and Learning in Organizations     Hybrid Journal   (Followers: 8, SJR: 0.138, CiteScore: 0)
Digital Library Perspectives     Hybrid Journal   (Followers: 28, SJR: 0.341, CiteScore: 1)
Direct Marketing An Intl. J.     Hybrid Journal   (Followers: 6)
Disaster Prevention and Management     Hybrid Journal   (Followers: 21, SJR: 0.47, CiteScore: 1)
Drugs and Alcohol Today     Hybrid Journal   (Followers: 143, SJR: 0.245, CiteScore: 1)
Education + Training     Hybrid Journal   (Followers: 24)
Education, Business and Society : Contemporary Middle Eastern Issues     Hybrid Journal   (Followers: 1, SJR: 1.707, CiteScore: 3)
Emerald Emerging Markets Case Studies     Hybrid Journal   (Followers: 1)
Employee Relations     Hybrid Journal   (Followers: 8, SJR: 0.551, CiteScore: 2)
Engineering Computations     Hybrid Journal   (Followers: 3, SJR: 0.444, CiteScore: 1)
Engineering, Construction and Architectural Management     Hybrid Journal   (Followers: 10, SJR: 0.653, CiteScore: 2)
English Teaching: Practice & Critique     Hybrid Journal   (SJR: 0.417, CiteScore: 1)
Equal Opportunities Intl.     Hybrid Journal   (Followers: 3)
Equality, Diversity and Inclusion : An Intl. J.     Hybrid Journal   (Followers: 17, SJR: 0.5, CiteScore: 1)
EuroMed J. of Business     Hybrid Journal   (Followers: 1, SJR: 0.26, CiteScore: 1)
European Business Review     Hybrid Journal   (Followers: 9, SJR: 0.585, CiteScore: 3)
European J. of Innovation Management     Hybrid Journal   (Followers: 25, SJR: 0.454, CiteScore: 2)
European J. of Management and Business Economics     Open Access   (Followers: 1, SJR: 0.239, CiteScore: 1)
European J. of Marketing     Hybrid Journal   (Followers: 21, SJR: 0.971, CiteScore: 2)
European J. of Training and Development     Hybrid Journal   (Followers: 13, SJR: 0.477, CiteScore: 1)
Evidence-based HRM     Hybrid Journal   (Followers: 5, SJR: 0.537, CiteScore: 1)
Facilities     Hybrid Journal   (Followers: 3, SJR: 0.503, CiteScore: 2)
Foresight     Hybrid Journal   (Followers: 7, SJR: 0.34, CiteScore: 1)
Gender in Management : An Intl. J.     Hybrid Journal   (Followers: 20, SJR: 0.412, CiteScore: 1)
Global Knowledge, Memory and Communication     Hybrid Journal   (Followers: 977, SJR: 0.261, CiteScore: 1)
Grey Systems : Theory and Application     Hybrid Journal   (Followers: 1)
Health Education     Hybrid Journal   (Followers: 2, SJR: 0.421, CiteScore: 1)
Higher Education Evaluation and Development     Open Access  
Higher Education, Skills and Work-based Learning     Hybrid Journal   (Followers: 46, SJR: 0.426, CiteScore: 1)
History of Education Review     Hybrid Journal   (Followers: 12, SJR: 0.26, CiteScore: 0)
Housing, Care and Support     Hybrid Journal   (Followers: 8, SJR: 0.171, CiteScore: 0)
Human Resource Management Intl. Digest     Hybrid Journal   (Followers: 18, SJR: 0.129, CiteScore: 0)
IMP J.     Hybrid Journal  
Indian Growth and Development Review     Hybrid Journal   (SJR: 0.174, CiteScore: 0)
Industrial and Commercial Training     Hybrid Journal   (Followers: 5, SJR: 0.301, CiteScore: 1)
Industrial Lubrication and Tribology     Hybrid Journal   (Followers: 7, SJR: 0.334, CiteScore: 1)
Industrial Management & Data Systems     Hybrid Journal   (Followers: 7, SJR: 0.904, CiteScore: 3)
Industrial Robot An Intl. J.     Hybrid Journal   (Followers: 2, SJR: 0.318, CiteScore: 1)
Info     Hybrid Journal   (Followers: 1)
Information and Computer Security     Hybrid Journal   (Followers: 22, SJR: 0.307, CiteScore: 1)
Information Technology & People     Hybrid Journal   (Followers: 45, SJR: 0.671, CiteScore: 2)
Innovation & Management Review     Open Access  
Interactive Technology and Smart Education     Hybrid Journal   (Followers: 12, SJR: 0.191, CiteScore: 1)
Interlending & Document Supply     Hybrid Journal   (Followers: 61)
Internet Research     Hybrid Journal   (Followers: 37, SJR: 1.645, CiteScore: 5)
Intl. J. for Lesson and Learning Studies     Hybrid Journal   (Followers: 4, SJR: 0.324, CiteScore: 1)
Intl. J. for Researcher Development     Hybrid Journal   (Followers: 10)
Intl. J. of Accounting and Information Management     Hybrid Journal   (Followers: 9, SJR: 0.275, CiteScore: 1)
Intl. J. of Bank Marketing     Hybrid Journal   (Followers: 9, SJR: 0.654, CiteScore: 3)
Intl. J. of Climate Change Strategies and Management     Hybrid Journal   (Followers: 17, SJR: 0.353, CiteScore: 1)
Intl. J. of Clothing Science and Technology     Hybrid Journal   (Followers: 8, SJR: 0.318, CiteScore: 1)
Intl. J. of Commerce and Management     Hybrid Journal   (Followers: 1)
Intl. J. of Conflict Management     Hybrid Journal   (Followers: 15, SJR: 0.362, CiteScore: 1)
Intl. J. of Contemporary Hospitality Management     Hybrid Journal   (Followers: 14, SJR: 1.452, CiteScore: 4)
Intl. J. of Culture Tourism and Hospitality Research     Hybrid Journal   (Followers: 20, SJR: 0.339, CiteScore: 1)
Intl. J. of Development Issues     Hybrid Journal   (Followers: 9, SJR: 0.139, CiteScore: 0)
Intl. J. of Disaster Resilience in the Built Environment     Hybrid Journal   (Followers: 6, SJR: 0.387, CiteScore: 1)
Intl. J. of Educational Management     Hybrid Journal   (Followers: 5, SJR: 0.559, CiteScore: 1)
Intl. J. of Emergency Services     Hybrid Journal   (Followers: 9, SJR: 0.201, CiteScore: 1)
Intl. J. of Emerging Markets     Hybrid Journal   (Followers: 3, SJR: 0.474, CiteScore: 2)
Intl. J. of Energy Sector Management     Hybrid Journal   (Followers: 2, SJR: 0.349, CiteScore: 1)
Intl. J. of Entrepreneurial Behaviour & Research     Hybrid Journal   (Followers: 5, SJR: 0.629, CiteScore: 2)
Intl. J. of Ethics and Systems     Hybrid Journal   (Followers: 3, SJR: 0.333, CiteScore: 1)
Intl. J. of Event and Festival Management     Hybrid Journal   (Followers: 7, SJR: 0.388, CiteScore: 1)
Intl. J. of Gender and Entrepreneurship     Hybrid Journal   (Followers: 6, SJR: 0.445, CiteScore: 1)
Intl. J. of Health Care Quality Assurance     Hybrid Journal   (Followers: 12, SJR: 0.358, CiteScore: 1)
Intl. J. of Health Governance     Hybrid Journal   (Followers: 26, SJR: 0.247, CiteScore: 1)
Intl. J. of Housing Markets and Analysis     Hybrid Journal   (Followers: 9, SJR: 0.211, CiteScore: 1)
Intl. J. of Human Rights in Healthcare     Hybrid Journal   (Followers: 6, SJR: 0.205, CiteScore: 0)
Intl. J. of Information and Learning Technology     Hybrid Journal   (Followers: 8, SJR: 0.226, CiteScore: 1)
Intl. J. of Innovation Science     Hybrid Journal   (Followers: 11, SJR: 0.197, CiteScore: 1)
Intl. J. of Intelligent Computing and Cybernetics     Hybrid Journal   (Followers: 3, SJR: 0.214, CiteScore: 1)
Intl. J. of Intelligent Unmanned Systems     Hybrid Journal   (Followers: 4)
Intl. J. of Islamic and Middle Eastern Finance and Management     Hybrid Journal   (Followers: 9, SJR: 0.375, CiteScore: 1)
Intl. J. of Law and Management     Hybrid Journal   (Followers: 2, SJR: 0.217, CiteScore: 1)
Intl. J. of Leadership in Public Services     Hybrid Journal   (Followers: 27)
Intl. J. of Lean Six Sigma     Hybrid Journal   (Followers: 8, SJR: 0.802, CiteScore: 3)
Intl. J. of Logistics Management     Hybrid Journal   (Followers: 10, SJR: 0.71, CiteScore: 2)
Intl. J. of Managerial Finance     Hybrid Journal   (Followers: 5, SJR: 0.203, CiteScore: 1)
Intl. J. of Managing Projects in Business     Hybrid Journal   (Followers: 2, SJR: 0.36, CiteScore: 2)
Intl. J. of Manpower     Hybrid Journal   (Followers: 2, SJR: 0.365, CiteScore: 1)
Intl. J. of Mentoring and Coaching in Education     Hybrid Journal   (Followers: 27, SJR: 0.426, CiteScore: 1)
Intl. J. of Migration, Health and Social Care     Hybrid Journal   (Followers: 12, SJR: 0.307, CiteScore: 1)
Intl. J. of Numerical Methods for Heat & Fluid Flow     Hybrid Journal   (Followers: 11, SJR: 0.697, CiteScore: 3)
Intl. J. of Operations & Production Management     Hybrid Journal   (Followers: 19, SJR: 2.052, CiteScore: 4)
Intl. J. of Organization Theory and Behavior     Hybrid Journal  
Intl. J. of Organizational Analysis     Hybrid Journal   (Followers: 3, SJR: 0.268, CiteScore: 1)
Intl. J. of Pervasive Computing and Communications     Hybrid Journal   (Followers: 3, SJR: 0.138, CiteScore: 1)
Intl. J. of Pharmaceutical and Healthcare Marketing     Hybrid Journal   (Followers: 4, SJR: 0.25, CiteScore: 1)
Intl. J. of Physical Distribution & Logistics Management     Hybrid Journal   (Followers: 11, SJR: 1.821, CiteScore: 4)
Intl. J. of Prisoner Health     Hybrid Journal   (Followers: 8, SJR: 0.303, CiteScore: 1)
Intl. J. of Productivity and Performance Management     Hybrid Journal   (Followers: 8, SJR: 0.578, CiteScore: 2)
Intl. J. of Public Sector Management     Hybrid Journal   (Followers: 32, SJR: 0.438, CiteScore: 1)
Intl. J. of Quality & Reliability Management     Hybrid Journal   (Followers: 8, SJR: 0.492, CiteScore: 2)
Intl. J. of Quality and Service Sciences     Hybrid Journal   (Followers: 2, SJR: 0.309, CiteScore: 1)
Intl. J. of Retail & Distribution Management     Hybrid Journal   (Followers: 6, SJR: 0.742, CiteScore: 3)
Intl. J. of Service Industry Management     Hybrid Journal   (Followers: 3)
Intl. J. of Social Economics     Hybrid Journal   (Followers: 5, SJR: 0.225, CiteScore: 1)
Intl. J. of Sociology and Social Policy     Hybrid Journal   (Followers: 54, SJR: 0.3, CiteScore: 1)
Intl. J. of Sports Marketing and Sponsorship     Hybrid Journal   (Followers: 1, SJR: 0.269, CiteScore: 1)
Intl. J. of Structural Integrity     Hybrid Journal   (Followers: 2, SJR: 0.228, CiteScore: 0)
Intl. J. of Sustainability in Higher Education     Hybrid Journal   (Followers: 14, SJR: 0.502, CiteScore: 2)
Intl. J. of Tourism Cities     Hybrid Journal   (Followers: 2, SJR: 0.502, CiteScore: 0)
Intl. J. of Web Information Systems     Hybrid Journal   (Followers: 4, SJR: 0.186, CiteScore: 1)
Intl. J. of Wine Business Research     Hybrid Journal   (Followers: 8, SJR: 0.562, CiteScore: 2)
Intl. J. of Workplace Health Management     Hybrid Journal   (Followers: 10, SJR: 0.303, CiteScore: 1)
Intl. Marketing Review     Hybrid Journal   (Followers: 15, SJR: 0.895, CiteScore: 3)
Irish J. of Occupational Therapy     Open Access   (Followers: 7)
ISRA Intl. J. of Islamic Finance     Open Access  
J. for Multicultural Education     Hybrid Journal   (Followers: 1, SJR: 0.237, CiteScore: 1)
J. of Accounting & Organizational Change     Hybrid Journal   (Followers: 6, SJR: 0.301, CiteScore: 1)
J. of Accounting in Emerging Economies     Hybrid Journal   (Followers: 9)
J. of Adult Protection, The     Hybrid Journal   (Followers: 16, SJR: 0.314, CiteScore: 1)
J. of Advances in Management Research     Hybrid Journal   (Followers: 2)
J. of Aggression, Conflict and Peace Research     Hybrid Journal   (Followers: 45, SJR: 0.222, CiteScore: 1)
J. of Agribusiness in Developing and Emerging Economies     Hybrid Journal   (SJR: 0.108, CiteScore: 0)
J. of Applied Accounting Research     Hybrid Journal   (Followers: 17, SJR: 0.227, CiteScore: 1)
J. of Applied Research in Higher Education     Hybrid Journal   (Followers: 49, SJR: 0.2, CiteScore: 0)
J. of Asia Business Studies     Hybrid Journal   (Followers: 2, SJR: 0.245, CiteScore: 1)
J. of Assistive Technologies     Hybrid Journal   (Followers: 20)
J. of Business & Industrial Marketing     Hybrid Journal   (Followers: 10, SJR: 0.652, CiteScore: 2)
J. of Business Strategy     Hybrid Journal   (Followers: 12, SJR: 0.333, CiteScore: 1)
J. of Capital Markets Studies     Open Access  
J. of Centrum Cathedra     Open Access  
J. of Children's Services     Hybrid Journal   (Followers: 5, SJR: 0.243, CiteScore: 1)
J. of Chinese Economic and Foreign Trade Studies     Hybrid Journal   (Followers: 1, SJR: 0.2, CiteScore: 0)
J. of Chinese Entrepreneurship     Hybrid Journal   (Followers: 4)
J. of Chinese Human Resource Management     Hybrid Journal   (Followers: 6, SJR: 0.173, CiteScore: 1)
J. of Communication Management     Hybrid Journal   (Followers: 6, SJR: 0.625, CiteScore: 1)
J. of Consumer Marketing     Hybrid Journal   (Followers: 19, SJR: 0.664, CiteScore: 2)
J. of Corporate Real Estate     Hybrid Journal   (Followers: 3, SJR: 0.368, CiteScore: 1)
J. of Criminal Psychology     Hybrid Journal   (Followers: 134, SJR: 0.268, CiteScore: 1)
J. of Criminological Research, Policy and Practice     Hybrid Journal   (Followers: 48, SJR: 0.254, CiteScore: 1)
J. of Cultural Heritage Management and Sustainable Development     Hybrid Journal   (Followers: 10, SJR: 0.257, CiteScore: 1)
J. of Defense Analytics and Logistics     Open Access  
J. of Documentation     Hybrid Journal   (Followers: 189, SJR: 0.613, CiteScore: 1)
J. of Economic and Administrative Sciences     Hybrid Journal   (Followers: 2)
J. of Economic Studies     Hybrid Journal   (Followers: 5, SJR: 0.733, CiteScore: 1)
J. of Economics, Finance and Administrative Science     Open Access   (Followers: 1, SJR: 0.217, CiteScore: 1)
J. of Educational Administration     Hybrid Journal   (Followers: 6, SJR: 1.252, CiteScore: 2)
J. of Enabling Technologies     Hybrid Journal   (Followers: 11, SJR: 0.369, CiteScore: 1)
J. of Engineering, Design and Technology     Hybrid Journal   (Followers: 16, SJR: 0.212, CiteScore: 1)
J. of Enterprise Information Management     Hybrid Journal   (Followers: 4, SJR: 0.827, CiteScore: 4)
J. of Enterprising Communities People and Places in the Global Economy     Hybrid Journal   (Followers: 1, SJR: 0.281, CiteScore: 1)
J. of Entrepreneurship and Public Policy     Hybrid Journal   (Followers: 8, SJR: 0.262, CiteScore: 1)
J. of European Industrial Training     Hybrid Journal   (Followers: 2)
J. of European Real Estate Research     Hybrid Journal   (Followers: 3, SJR: 0.268, CiteScore: 1)
J. of Facilities Management     Hybrid Journal   (Followers: 5, SJR: 0.33, CiteScore: 1)
J. of Family Business Management     Hybrid Journal   (Followers: 7)
J. of Fashion Marketing and Management     Hybrid Journal   (Followers: 12, SJR: 0.608, CiteScore: 2)

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Journal Cover
International Journal of Quality & Reliability Management
Journal Prestige (SJR): 0.492
Citation Impact (citeScore): 2
Number of Followers: 8  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0265-671X
Published by Emerald Homepage  [356 journals]
  • Reliability analysis of multi-state complex system with multi-state
           weighted subsystems
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to evaluate the reliability indices such as reliability, mean time to failure and sensitivity analysis. Design/methodology/approach A non-repairable multi-state complex system with two subsystems, namely, S1 and S2, is studied. The subsystems S1 and S2 are multi-state weighted r-out-of-n: G and s-out-of-m: G systems, respectively. Every component of the sub-system S1 consists of linear (f, l, k): G system, and the sub-system S2 consists of circular (f, l, k): G system. The subsystems are connected in series arrangement and components of these subsystems are arranged in parallel. Findings Markov stochastic process has been applied to obtain probability of components of the subsystems and various results discuss such as reliability, mean time to failure and sensitivity analysis with the help of the universal generating function. Originality/value In this work, reliability measures of the purpose system can be enhanced under the high profit.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-02-19T11:41:47Z
      DOI: 10.1108/IJQRM-04-2018-0089
       
  • Supply chain management and organizational performance: the resonant
           influence
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose A single supply chain management (SCM) practice will have a certain impact on organizational performance (OP). However, since it is placed in a system that many other practices are conducted simultaneously, the practice itself will interact with other ones (i.e. affect/be affected). As a consequence, the efficiency of the affected practice is increased and it is expected to maximize the impact of SCM practices on OP. This mechanism is named the “resonant” influence that is a new approach in the SCM literature. The purpose of this paper is to test the above mechanism toward an insight into the relationship between SCM and OP. Design/methodology/approach Two models were compared: the competitive models only exist in direct effects; and the other contains relationships between practices that are able to show the mechanism of the resonant influence, i.e. the hypothetical model. A data set gained from Vietnamese garment enterprises was used to validate the mechanism of the resonant influence. Findings Empirical evidence from Vietnamese garment sector showed that the competitive models could explain 42.8, 26.3 and 34 percent variance of operational performance, customer satisfaction and financial performance, respectively. In the meantime, the hypothetical model containing the resonant influence is capable to explain 69.5, 33.1 and 57.3 percent. For the impact of each SCM practice on OP, all relationships in the hypothetical model are also greater than those in competitive ones. These results supported the mechanism of the resonant influence. Research limitations/implications This research provides an insight into the relationship between SCM practices and OP. By the resonant influence, the effectiveness of each affected SCM practice itself is magnified and OP is also increased remarkably. Practical implications Understanding the resonant influence, companies can apply this mechanism to enhance effectiveness of SCM practices at the lowest cost. To this end, the SCM practices should be implemented simultaneously as an integrated system rather than independent ones and the structural model proposed in this study is able to be used as “a guide map” for applying this mechanism. Originality/value This is one of pioneer empirical studies in the SCM literature that proposed and validated the concept of “resonant influence.”
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-02-19T11:41:17Z
      DOI: 10.1108/IJQRM-11-2017-0245
       
  • Impacts of Lean Six Sigma on improving a higher education system: a case
           study
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to demonstrate the applicability and impact of Lean Six Sigma (LSS), a contemporary quality excellence methodology, for improving education system in a reputed University in Iran. Design/methodology/approach The paper follows a case study approach illustrating how theory has been put into practice, explaining how to implement the LSS define-measure-analyze-improve-control framework in a field-setting in a higher education institution (HEI), and to highlight the subsequent challenges occurred and lessons learned during the implementation. Findings The key finding from the study is the confirmation of LSS applicability in education systems. The goals of the LSS team were to baseline student satisfaction levels and improve the overall rating by 10 percent; to decrease student advising wait times by 15 percent; and increase enrollment by 5 percent. The application of the LSS methodology has delivered promising results to improve the education system of the University by achieving the set goals. Further, the implementation of LSS has demonstrated student-facing benefits of improved quality on the education system. Research limitations/implications LSS implementation in HEIs is relatively a new topic for research. Hence, this case study adds to the body of knowledge with directions to progress future research in this area. Practical implications The outputs of the case study have provided greater stimulus within the facilities for wider full-blown deployment of LSS as a strategic resource for problem solving. Additionally, this case study sets the foundation for many other future projects, and to trigger interest among the HEIs in their journeys for quality excellence. Social implications Higher education sector being a socially responsible field of service, LSS offers continuous improvement benefits, highlighted as part of this paper. Originality/value The applicability of LSS in HEIs is relatively an upcoming research area with immense potential and value. This paper would serve as a valuable means for both researchers and practitioners working in HEIs, in terms of understanding the systematic application of the LSS methodology, and implications in a real-world situation.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-02-19T11:40:46Z
      DOI: 10.1108/IJQRM-07-2018-0198
       
  • Statistically constrained economic design of [math] control chart with
           Weibull in-control time for processes subject to multiple assignable
           causes
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to develop an economic statistical design based on the concepts of adjusted average time to signal (AATS) and ANF for [math] control chart under a Weibull shock model with multiple assignable causes. Design/methodology/approach The design used in this study is based on a multiple assignable causes cost model. The new proposed cost model is compared with the same cost and time parameters and optimal design parameters under uniform and non-uniform sampling schemes. Findings Numerical results indicate that the cost model with non-uniform sampling cost has a lower cost than that with uniform sampling. By using sensitivity analysis, the effect of changing fixed and variable parameters of time, cost and Weibull distribution parameters on the optimum values of design parameters and loss cost is examined and discussed. Practical implications This research adds to the body of knowledge relating to the quality control of process monitoring systems. This paper may be of particular interest to practitioners of quality systems in factories where multiple assignable causes affect the production process. Originality/value The cost functions for uniform and non-uniform sampling schemes are presented based on multiple assignable causes with AATS and ANF concepts for the first time.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-02-13T09:48:01Z
      DOI: 10.1108/IJQRM-07-2017-0141
       
  • Reliability-based preventive maintenance strategies of road junction
           systems
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to present a study of reliability-centred maintenance (RCM), which is conducted on the key sub-assets of a newly constructed road junction infrastructure in Nigeria. Design/methodology/approach The classical RCM methodology, a type of RCM, which has a top down, zero-based approach for maintenance analysis, is implemented in this study. Findings The implementation of the classical RCM is successful in its application of various PM policies assigned to the assets and it shows that its application in the highway industry could reduce excessive maintenance backlog and frequent reactive maintenance by effective optimisation of its preventive maintenance (PM) intervals. Practical implications Road junctions are originators of more than 70 per cent of road traffic congestion and account for high accident rate. The traditional methods of reliability assurance used in the highway industry such as reactive maintenance and routine maintenance are often inadequate to meet the round the clock usage demands of these assets, thus the consideration for the application of a systematic RCM process for maintaining the system function by selecting and applying effective PM tasks. Originality/value It uses an approach that critically develops and analyses thoroughly preventive and continuous maintenance strategy in a new circumstance with environment of uncertainty and limited operating data. The case-based reasoning cycle has been applied in the RCM approach with real-time data obtained from a UK-based network maintenance management system for highway infrastructures.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-02-13T09:46:51Z
      DOI: 10.1108/IJQRM-01-2018-0018
       
  • A hybrid EWMA chart using coefficient of variation
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to develop a new control chart using two EWMA statistics called the hybrid exponentially weighted moving average (HEWMA) chart to improve the sensitivity of EWMA chart proposed by Zhang et al. (2014). When mean and variance of process are not constants, the use of control chart using coefficient of variation (CV) is a successful approach. Design/methodology/approach The control chart using EWMA statistics has ability to detect moderate and small shifts in the process. The authors present the designing of the proposed HEWMA statistics control chart called the HEWMACV chart based on two hybrid EWMA (HEWMA) statistics. The proposed control chart utilizes the current information and previous information to make decision about the state of control chart. Findings In this paper, the authors will present the designing of HEWMA statistics control chart called the HEWMACV chart. The efficiency of the proposed control chart is shown using the simulated data and real data from the industry. The application of proposed chart on the real data shows that the proposed chart has ability to detect shift in the process and it is superior than existing chart in terms of average run length (ARL). Research limitations/implications The design and implementation of the proposed control chart on a real data shows that it can be applied in several industries, such as chemical industry, biological assays, etc. Practical implications The practical application of HEWMA chart using coefficient variation is gaining extensive adequacy. The design and implementation of the HEWMA chart offers a new approach in the detection of small process mean shift. Originality/value In practice, when mean and variance of process are not constants, the use of control chart using CV is a successful approach. In this paper, the authors designed a new control chart using two EWMA statistics called the HEWMA chart to improve the sensitivity of EWMA chart. The comparison shows that the proposed chart is superior than the existing chart in terms of ARL.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-02-13T09:43:06Z
      DOI: 10.1108/IJQRM-12-2017-0285
       
  • Enhancing human performance reliability in aircraft pushback operations
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to investigate the aircraft pushback operations to predict and manage human errors, particularly those associated with the complex team work of carrying out the pushback operation. This should improve air ramp operations reliability. Design/methodology/approach The study applied the human reliability assessment “Systematic Human Error Reduction and Prediction Approach” that involved a total of 60 semi-structured interviews with practicing experts. Past ramp accident reports were also reviewed to provide more in-depth insights to the problem. Findings Some of the key performance reliability-degrading errors identified relate to some frequent critical technical inabilities within the team of headset operator and tug driver, as well as the vulnerable intra-team communications. Several best practices were similarly identified. Practical implications Based on its findings, this study proposes a new technological concept that can help enhancing safety of aircraft pushback operations. This should enhance reliability of aircraft ground handling and improve aircraft availability. It also provided a generic methodological approach to improve safety-critical operations within high-risk industries. Social implications This study responses to the increasing trend in ramp accidents worldwide. Originality/value The research conducted to date in this area is still quite limited compared to that of flight and aircraft maintenance safety. The relevant existing studies focus more on ramp safety holistically, and do not go into the details of how safety and reliability of a ramp operation can be improved. The current paper aims at filling this gap.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-02-13T09:39:50Z
      DOI: 10.1108/IJQRM-01-2018-0008
       
  • Triangular cyclic accelerated degradation zero-failure test plan
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose Zero-failure reliability testing aims at demonstrating whether the product has achieved the desired reliability target with zero failure and high confidence level at a given time. Incorporating accelerated degradation testing in zero-failure reliability demonstration test (RDT) facilitates early failure in high reliability items developed within short period of time to be able to survive in fiercely competitive market. The paper aims to discuss these issues. Design/methodology/approach The triangular cyclic stress uses one test chamber thus saving experimental cost. The parameters in model are estimated using maximum likelihood methods. The optimum plan consists in finding out optimum number of cycles, optimum specimens, optimum stress change point(s) and optimum stress rates. Findings The optimum plan consists in finding out optimum number of cycles, optimum specimens, optimum stress change point(s) and optimum stress rates by minimizing asymptotic variance of estimate of quantile of the lifetime distribution at use condition subject to the constraint that total testing or experimental cost does not exceed a pre-specified budget. Confidence intervals of the design parameters have been obtained and sensitivity analysis carried out. The results of sensitivity analysis show that the plan is robust to small deviations from the true values of baseline parameters. Originality/value For some highly reliable products, even accelerated life testing yields little failure data of units in a feasible amount of time. In such cases accelerated degradation testing is carried out, wherein the failure termed as soft failure is defined in terms of performance characteristic of the product exceeding its critical (threshold) value.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-02-13T09:38:52Z
      DOI: 10.1108/IJQRM-03-2017-0040
       
  • Research gaps in Lean manufacturing: a systematic literature review
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose Literature contributions to Lean manufacturing (LM) are fragmented and show some significant limitations. The purpose of this paper is to identify the existing research gaps in LM as well as to group them into respective themes. Design/methodology/approach A systematic literature review (SLR) of peer reviewed journal articles in LM was carried out by the authors, based on four major publishers, namely, Emerald Online, Science Direct, Springer Link and Taylor & Francis. In total, 120 articles published in 30 journals during 2005–2016 were collected which revealed LM research gaps. A simple affinity diagram was applied in order to group the research gaps into logical themes. Findings A large number of research gaps are identified in the LM literature and meaningful themes of these gaps are also revealed. Research limitations/implications The SLR carried out by the authors is based on only four academic journal publishers and some of other publishers might have been missed out in this search. Excluding articles focusing on an individual Lean principle or tool/technique is also a limitation of the present SLR. Practical implications Researchers and practitioners can use the LM research gaps presented in this study for further development of LM methodology. Originality/value Presenting LM research gaps analytically and grouping them into meaningful themes, significantly differentiates the present SLR study from those published so far.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-02-13T08:53:22Z
      DOI: 10.1108/IJQRM-12-2017-0260
       
  • Extending the service profit chain: the mediating effect of employee
           productivity
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to address the gap in the literature by extending the service profit chain (SPC) model and testing the validity of the proposed model in high-contact service contexts rather than by testing the key elements of the SPC in regard to a single business. Design/methodology/approach The study uses the exploratory factor analysis to identify a set of observables to use in representing the relationships included in the proposed extended model and employs the structural equation modeling to test the eight proposed hypothesis. Findings The study shows that the best-fit structural model supports the notion that employee internal service quality drives employee satisfaction that drives employee loyalty and employee productivity. In addition, employee productivity is shown as partially mediating the relationship between employee satisfaction and employee loyalty. Practical implications The results presented in this study have managerial implications and shed light on the importance of operational factors in the service industry, in particular high-contact services. Originality/value The integration of operations management and SPC still remain limited in the literature. Therefore, the study extends the SPC by integrating other operational factors, namely, employee productivity and internal service quality, and tests its validity in high contact services where the prolonged contact between the customer and the service system creates more opportunities to influence a customer’s perception of service quality.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-02-13T08:52:09Z
      DOI: 10.1108/IJQRM-03-2018-0064
       
  • Innovative methods for quality management in educational organizations
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to present good practices of improving quality of educational services through use of innovative methods in order to involve staff in the processes of the organization’s management. Design/methodology/approach The study of teachers’ and management’s perception of quality initiatives is used as a basis for analyzing main causes of inhibition of the quality initiatives. The authors formulate the issue of a low efficiency of quality management systems (QMS) and make conclusions about why it is important to expand the “quality spirit” among teachers and managers and why it is necessary to implement quality management principles (such as a leadership and staff involvement) in educational organizations. Findings The innovation and project (IP) technique of training is proposed to solve the tasks of expanding the “quality spirit,” creating leadership and involving educational organization’s staff in the quality management processes. The paper contains description and examples of use of the IP technique in order to create efficient management systems on the basis of leadership and involvement of managers and other staff in the processes of quality management. The authors formulate principles of innovative training and evaluate the effects of its use in the projects aimed at improvement of QMS. Practical implications The paper presents the experience of usage of the main component of the technique – an innovative workshop – for development of the strategy of Pastukhov Academy, building a managing team and involving staff in quality assurance activities. The paper presents the practical value of the results achieved by the academy in the process of implementation of the IP technique for development of the managing team and their strategic self-identification, as well as for increasing the quality of educational services. The IP technique is used in the process of implementation of social responsibility standards. Originality/value The paper is valuable for educational organizations, which may use the IP technique that will result in providing a real effect on the QMS, improving the educational courses and a positive impact on improving the quality of life.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-02-13T08:34:41Z
      DOI: 10.1108/IJQRM-12-2016-0235
       
  • Why do organizations discontinue Lean Six Sigma initiatives'
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose Lean Six Sigma (LSS) has been one of the most widely used quality improvement initiatives over the last decade. However, the success rate of LSS is dismally poor, and most organizations discontinue LSS initiatives prematurely. The purpose of this paper is to answer the question why do organizations discontinue LSS initiatives' Design/methodology/approach To understand the discontinuance mechanism of LSS initiatives, the authors selected two companies. One from the manufacturing and one from service sector in India. The companies were selected as they had initially implemented LSS, and later within six years had discontinued the initiatives. Four projects from each company were studied using case study methodology. Findings This study finds 11 factors due to which the organizations discontinue LSS initiatives. The factors are poor success rate, unrealistic expectations from LSS, unsustainable results, misuse of statistics, large tool set, unsupportive and uncommitted top management, lack of training and development, lack of synergy of LSS and business strategy, lack of link between LSS and customer needs, wrong projects selection and premature discontinuation of LSS experts. The study further discusses the discontinuance mechanisms of LSS using propositions. Practical implications LSS is one of the most widely used initiatives in the organizations. Such initiatives involve costs. Earlier studies have reported that many organizations discontinue the LSS initiatives resulting in a loss or not meeting the intended goals. This paper will help the practitioners as well as organizations to understand why organizations discontinue LSS and take prompt actions for its success. Originality/value Earlier studies on LSS address the critical success factors, and this paper addresses those about failures by studying organizations that have discontinued LSS. The present study finds 11 factors that are responsible for discontinuing LSS in organizations. In addition, propositions are developed for future research and empirical testing. This study also offers further insights into the discontinuance mechanisms involved in LSS.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-02-13T02:17:21Z
      DOI: 10.1108/IJQRM-03-2018-0066
       
  • EFQM model’s application in the context of higher education
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The European Foundation for Quality Management (EFQM) excellence model has been widely used by higher education institutions (HEIs). However, knowledge about the state of the art concerning its application in the context of HEIs is still reduced. The purpose of this paper is to provide groundwork able to boost coordinated research efforts toward the development of the knowledge body in the field. Design/methodology/approach This research is based on a systematic literature review (SLR) of 25 papers identified in the ISI Web of Knowledge and SCOPUS databases, and considered relevant for analysis. Findings The paper provides a broad overview of the main issues explored so far in literature: potential benefits, potential barriers and critical success factors. By highlighting the main shortcomings of current research and the corresponding opportunities for additional research directions, the authors hope to boost further research efforts in the field. Originality/value To the authors’ knowledge, this is the first SLR in the field.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-02-13T02:15:03Z
      DOI: 10.1108/IJQRM-12-2017-0282
       
  • Understanding and evaluating teaching effectiveness in the UK higher
           education sector using experimental design
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to demonstrate the power of experimental design as a technique to understand and evaluate the most important factors which influence teaching effectiveness for a postgraduate course in a higher education (HE) context. Design/methodology/approach The methodology involves the execution of a case study in the form of an experiment in a business school setting. The experiment was carried out with the assistance of over 100 postgraduate students from 26 countries. The data were collected over a two year period (2015 and 2016) from a postgraduate course offered by the same tutor for repeatability reasons. Findings The key findings of the experiment have clearly indicated that students’ perceptions of teaching effectiveness based on intuition and guesswork are not identical to the outcomes from a simple designed experiment. Moreover, the results of the experiment provided a greater stimulus for the wider applications of the technique to other processes across the case study HE sector. Research limitations/implications One of the limitations of the study is that the experiment was conducted for a popular postgraduate course. It would be beneficial to understand the results of the experiment for less popular postgraduate courses in the university in order to drive improvements. Moreover, this research was conducted only for postgraduate courses and the results may vary for undergraduate courses. This would be an interesting study to understand the differences in the factors between undergraduate and postgraduate teaching effectiveness. Practical implications The outcome of this experiment would help everyone who is involved in teaching to understand the factors and their influences to improve students’ satisfaction scores during the delivery of teaching. Originality/value This paper shows how experimental design as a pure manufacturing technique can be extended to a HE setting.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-02-13T02:12:22Z
      DOI: 10.1108/IJQRM-01-2018-0011
       
  • Integrated maintenance and production decision for k-out-of-n system
           equipment with attenuation of product quality
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose Equipment reliability significantly impacts productivity, and in order to obtain high equipment reliability and productivity, maintenance and production decision should be made simultaneously to keep manufacturing system healthy. The purpose of this paper is to investigate the joint optimization of equipment maintenance and production decision for k-out-of-n system equipment with attenuation of product quality and to explore the impact of maintenance on the production and cost control for manufacturers. Design/methodology/approach A multi-period Markov chain model for k-out-of-n system equipment is set up based on the assumption that the deterioration of equipment is a pure birth process. Then, the maintenance cost, setup cost, inventory holding cost, shortage cost, production cost and the quality cost are analyzed with the uncertain demand and the attenuation of product quality stemmed from equipment deterioration. The total lowest cost per unit time and its specific calculation method are presented. Finally, the robustness and flexibility of the method are verified by a numerical example and the effects of equipment deterioration intensity and attenuation of product quality are analyzed. Findings The result shows that the joint decision model could not only satisfy the uncertain demand with low cost and strong robustness but also make the output products high quality level. In addition, the attenuation of product quality would influence the equipment maintenance and production decision and leads to the production waste and increases the operation cost greatly. Originality/value Implications derived from this study can help production maintenance managers and reliability engineers adequately select maintenance policy to improve the equipment efficiency and productivity with high quality level at a relatively low cost.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-02-12T03:51:52Z
      DOI: 10.1108/IJQRM-07-2017-0138
       
  • Fuzzy reliability analysis of the compressor house unit (CHU) system in a
           coal fired thermal power plant using TBGFLT technique
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to analyze the fuzzy reliability of the compressor house unit (CHU) system in a coal fired thermal power plant under vague environment by reducing the accumulating phenomenon of fuzziness and accelerating the computation process. This paper uses different fuzzy membership functions to quantify uncertainty and access the system reliability in terms of different fuzzy reliability indices having symmetric shapes. Design/methodology/approach This study analyses the fuzzy reliability of the CHU system in a coal fired thermal power plant using Tω-based generalized fuzzy Lambda-Tau (TBGFLT) technique. This approach applies fault tree, Lambda-Tau method, different fuzzy membership functions and α-cut coupled Tω-based approximate arithmetic operations to compute various reliability parameters (such as failure rate, repair time, mean time between failures, expected number of failures, availability and reliability) of the system. The effectiveness of TBGFLT technique has been demonstrated by comparing the results with results obtained from four different existing techniques. Moreover, this paper applies the extended Tanaka et al. (1983) approach to rank the critical components of the system when different membership functions are used. Findings The adopted TBGFLT technique in the present study improves the shortcomings of the existing approaches by reducing the accumulating phenomenon of fuzziness, accelerating the computation process and getting symmetric shapes for computed reliability parameters when different membership functions are used to quantify data uncertainty. Originality/value In existing fuzzy reliability techniques which are developed for repairable systems either triangular fuzzy numbers, triangle vague sets or triangle intuitionistic fuzzy sets have been used for quantifying uncertainty. These approaches do not examine the systems for components with different membership functions. The present study is an effort in this direction and evaluates the fuzzy reliability of the CHU system in a coal fired thermal power plant for components with different membership functions. This is the main contribution of the paper.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-02-12T03:36:29Z
      DOI: 10.1108/IJQRM-07-2017-0123
       
  • Copula based constant-stress PALT using tampered failure rate model with
           dependent competing risks
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose Accelerated life tests (ALTs) are used to make timely assessments of the lifetime distribution of highly reliable materials and components. Life test under accelerated environmental conditions may be fully accelerated or partially accelerated. In fully accelerated life testing, all the test units are run at accelerated condition, while in partially accelerated life testing, they are both run at normal and accelerated conditions. The products can fail due to one of the several possible causes of failure which need not be independent. The purpose of this paper is to design constant-stress PALT with dependent competing causes of failure using the tampered failure rate model. Design/methodology/approach Gumbel–Hougaard copula is used to model and measure the dependence between the life times of competing causes of failure. The use of the copula simplifies the model specification and gives a general class of distributions with the same dependent structure and arbitrary marginal distributions. Findings The optimal plan consists in finding optimum allocation of test units in different chambers by minimizing the reciprocal of the determinant of Fisher Information Matrix. The confidence interval for the estimated values of the design parameters has been obtained and sensitivity analysis carried out. The results of sensitivity analysis show that the plan is robust to small deviations from the true values of baseline parameters. Originality/value The model formulated can help reliability engineers obtain reliability estimates quickly of high reliability products that are likely to last for several years.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-02-12T03:32:17Z
      DOI: 10.1108/IJQRM-08-2017-0170
       
  • Lean thinking for education: development and validation of an instrument
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to respond to the increasing demands that education currently faces and develop a structured approach for the implementation of lean thinking (LT) in primary and secondary education (P&SE) and empirically validated it. Design/methodology/approach An extended literature review was conducted of studies on LT in education, service and manufacturing, in which a preliminary list was formed of LT dimensions, which were subsequently reviewed by a focus group. An instrument was generated, which was distributed to 1,400 education professionals, and 394 replies were received. The measures were tested for validity and reliability. After the first round of analyses, measures were tested further to strengthen the proposed instrument. Findings The findings confirmed that the instrument developed is both valid and reliable and that the proposed measures consist actual dimensions of LT in P&SE. A number of success factors that would be required for LT initiatives to be implemented effectively within the P&SE context in a holistic perspective were revealed. Practical implications Although a number of studies have been developed on LT in the manufacturing or service sector, its implementation in education and particularly in P&SE remains scant. The instrument developed provides sufficient knowledge of which are the most important dimensions to consider when pondering LT in education. Originality/value While LT has been the subject of previous research in education, this study represented the first look at lean in P&SE and was the first of its kind to develop and validate in a real environment a lean implementation instrument for use in educational institutions. Researchers and practitioners can use the proposed instrument to build models of facilitating practices to improve performance while contributing to economic growth and enhancing social empowerment.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-02-12T03:27:23Z
      DOI: 10.1108/IJQRM-07-2018-0202
       
  • The effect of transformer parameters on reliability assessment with the
           help of health index
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to study various reliability measures like reliability, mean time to failure (MTTF) and sensitivity of transformer including different parameters of insulating oil/paper as health index. Design/methodology/approach The reliability characteristics of transformer incorporating different parameters of insulating oil as well as paper have been evaluated using Markov process incorporating Gumbel–Hougaard copula, Laplace transforms and supplementary variable technique. The parameters taken into consideration are breakdown voltage (BDV) and moisture content (MC) of both insulating oil and paper, and other parameters considered are interfacial tension (IFT), dissipation factor (DF), degree of polymerization (DOP) and furanic content (FC) for insulating oil and paper, respectively. By probability consideration and continuity influence, difference-differential equations have been obtained for the considered model. Findings Transition state probabilities, reliability, MTTF and sensitivity of the transformer corresponding to different parameters of insulating oil and paper have been evaluated with the help of aforementioned technique. Variations of reliability with respect to time along with the variations of MTTF and sensitivity have also been examined. Remarkable points during the study have also been pointed out. Originality/value Reliability characteristics of the transformer have been evaluated including two parameters: insulating oil and paper with the help of supplementary variable technique, considering two different types of repairs incorporating Gumbel–Hougaard family of copula unlike done earlier. Reliability, MTTF and sensitivity of transformer have been analyzed considering the parameters: BDV, MC, IFT and FC of insulating oil, and BDV, MC, DOP, DF of insulating paper.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-02-12T03:21:27Z
      DOI: 10.1108/IJQRM-08-2018-0215
       
  • An application of integrated EPC–SPC methodology for simultaneously
           monitoring multiple output characteristics
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to develop an integrated engineering process control (EPC)–statistical process control (SPC) methodology for simultaneously monitoring and controlling autocorrelated multiple responses, namely, brightness and viscosity of the pulp bleaching process. Design/methodology/approach The pulp bleaching is a process of separating cellulose from impurities present in cooked wood chips through chemical treatment. More chemical dosage or process adjustments may result in better brightness but adversely affect viscosity. Hence, the optimum chemical dosage that would simultaneously minimize the deviation of pulp brightness and viscosity from their respective targets needs to be determined. Since the responses are autocorrelated, dynamic regression is used to model the responses. Then, the optimum chemical dosage that would simultaneously optimize the pulp brightness and viscosity is determined by fuzzy optimization methodology. Findings The suggested methodology is validated in 12 cases. The validation results showed that the optimum dosage simultaneously minimized the variation in brightness and viscosity around their respective targets. Moreover, suggested solution has been found to be superior to the one obtained by optimizing the responses independently. Practical implications This study provides valuable information on how to identify the optimum process adjustments to simultaneously ensure autocorrelated multiple responses on or close to their respective targets. Originality/value To the best of the authors’ knowledge, this paper is the first to provide application of the integrated EPC–SPC methodology for simultaneously monitoring multiple responses. The study also demonstrates the application of dynamic regression to model autocorrelated responses.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-02-11T08:44:19Z
      DOI: 10.1108/IJQRM-04-2018-0104
       
  • Improved binomial and Poisson approximations to the Type-A operating
           characteristic function
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose In acceptance sampling, the hypergeometric operating characteristic (OC) function (so called type-A OC) is used to be approximated by the binomial or Poisson OC function, which actually reduce computational effort, but do not provide suffcient approximation results. The purpose of this paper is to examine binomial- and Poisson-type approximations to the hypergeometric distribution, in order to find a simple but accurate approximation that can be successfully applied in acceptance sampling. Design/methodology/approach The authors present a new binomial-type approximation for the type-A OC function, and derive its properties. Further, the authors compare this approximation via an extensive numerical study with other common approximations in terms of variation distance and relative efficiency under various conditions on the parameters including limiting cases. Findings The introduced approximation generates best numerical results over a wide range of parameter values, and ensures arithmetic simplicity of the binomial distribution and high accuracy to meet requirements regarding acceptance sampling problems. Additionally, it can considerably reduce the computational effort in relation to the type-A OC function and therefore is strongly recommended for calculating sampling plans. Originality/value The newly presented approximation provides a remarkably close fit to the type-A OC function, is discrete and needs no correction for continuity, and is skewed in the same direction by roughly the same amount as the exact OC. Due to less factorials, this OC in general involves lower powers than the type-A OC function. Moreover, the binomial-type approximation is easy to fit to the conventional statistical computing packages.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-02-11T08:43:22Z
      DOI: 10.1108/IJQRM-10-2017-0203
       
  • Lean Six Sigma for small- and medium-sized manufacturing enterprises: a
           systematic review
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to explore the most common themes within Lean Six Sigma (LSS) relating to small- and medium-sized enterprises (SMEs) within manufacturing organisations and to identify the research gaps in the existing literature. Design/methodology/approach Tranfield et al.’s (2003) systematic review methodology was utilised encompassing three stages: planning, conducting and reporting/dissemination. Findings The literature revealed that there are many areas in which LSS has been utilised with varying successes. In total, 52 journals have been reviewed and it has been concluded that although LSS is a powerful methodology, there are many gaps that exist in the literature and further research is needed to address these in the field of LSS. Research limitations/implications The papers included in the systematic review were peer-reviewed papers available in English. Due to these limitations, relevant papers may have been excluded. Moreover, the authors have excluded all conference and white papers for their inclusion in this study. Practical implications It is vital that LSS practitioners are fully aware of the benefits, limitations and impeding factors when implementing a LSS initiative. Therefore, this paper could provide valuable insights to ensuring maximum value, is obtained from LSS implementation in SMEs. Originality/value This systematic review identifies research gaps in the current literature and highlighting areas of future research which will be beneficial to many SMEs in their pursuit of value optimisation.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-02-11T08:34:47Z
      DOI: 10.1108/IJQRM-03-2018-0074
       
  • Lean and Six Sigma practices in the public sector: a review
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to provide a critical analysis of publications relating to the use of continuous improvement (CI) methodologies, such as Lean, Six Sigma and Lean Six Sigma over a 17-year period, to identify the themes and gaps, while informing the development of a future research agenda. Design/methodology/approach The systematic literature review identified 121 papers published between 2000 and 2017 from searches of over 1,400 peer-reviewed academic journals and also identified the application of Lean, Six Sigma and Lean Six Sigma across the public sector. Findings This research compares the scale and breadth of the public sector with the application of CI methodologies and finds that such application is unstructured and, in some areas, sporadic. The research identifies common themes and research gaps including areas such as lack of shared understanding of Lean, gaps in strategy development and leadership and an overfocus on tools alone. Research limitations/implications The methodology is focussed on the journals rated in the ABS Journal Guide 2015, which allowed manual searches for accuracy and relevance to the area of investigation. It is recognised that this may exclude some articles which have been published in other journals but allowed for a structured and detailed investigation. The research identifies some very clear gaps which can inform future research agendas. Practical implications The paper details the implications and challenges to the public sector, generally, and to executive leadership, specifically, and, in particular, covers the common issues and concerns, which in turn will assist public sector organisations in implementing, reviewing or refreshing their CI initiatives. Originality/value No similar work has been conducted and while some individual areas such as health and education have been the subject of more focus, this research explores the public sector as a whole and considers the patterns of research in that context.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-02-11T08:30:03Z
      DOI: 10.1108/IJQRM-02-2018-0057
       
  • Optimal availability for determining choice and repair policy of system
           components
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to establish the regression model by a simulation method that was obtained by using the system response at unit cost as the response value. The unit availability was maximized, while the unit cost was minimized. Design/methodology/approach In this study, the Monte Carlo simulation method was used to simulate an operational system, and the regression model was obtained by using response surface methodology with the experimental matrix and different levels of experimental combinations. Findings The optimal value of mean time between failure (MTBF) and mean time to repair (MTTR) of each component was then obtained by using the system response at unit cost as the response value. Practical implications Due to the upgrading of industrial technology and the maturity of electronic technology, product development technology has become highly sophisticated with complex designs. Reliability engineering has become a key procedure of high-tech industry. Social implications Based on the system availability of unit cost as the response value, it can maximize the availability to help decision makers to formulate the best selection strategy components and repair strategy. Originality/value Previous works regarding the parameter settings of reliability values never mention the simulation methodology. However, this study aims to achieve the above goals in finding the relationship of MTBF and MTTR simultaneously.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-02-11T08:27:54Z
      DOI: 10.1108/IJQRM-12-2017-0255
       
  • An exploratory study of the results of the implementation of EFQM in
           private Spanish firms
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The implementation of business excellence models is becoming a key competitive priority for companies, but the type of results they obtain by implementing such models and the importance of such results remain open issues. The purpose of this paper is to clarify the results obtained by companies that implement the European Foundation for Quality Management (EFQM) excellence model, with a focus on their importance and nature. Design/methodology/approach An empirical study was conducted in 68 Spanish firms that were immersed in the process of implementing EFQM. The methodology consists of a descriptive analysis and factor analysis in order to determine which groups of results are the most important. Finally, clusters of firms are analyzed to establish their profile in relation to these groups, using cluster analysis. Findings This study shows that the main results of the implementation of EFQM are an improvement in the external image of the company and an increased efficiency of internal processes. In addition, the results can be grouped into internal results, human resources results and economic results, with the first group being the most important. Finally, the results show that there are three groups of firms, categorized according to their results orientation: highly results-oriented, moderately results-oriented and minimally results-oriented. Practical implications Companies are in a better position to anticipate and solve the problems that may arise during the implementation process if they understand the results of the implementation of EFQM, along with the motivations for and barriers to the implementation. Also, this research shows that the bodies promoting and motivating quality should make a special effort to emphasize the importance of non-financial results in companies that implement EFQM. Originality/value This paper extends the knowledge in the field of business excellence models by developing an instrument to measure implementation results from the perspective of quality managers who were specifically appointed to lead the implementation of the EFQM excellence model in companies.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-02-11T03:49:22Z
      DOI: 10.1108/IJQRM-01-2018-0023
       
  • Acceptance X-bar chart considering the sample distribution of capability
           indices, [math] and [math]
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The traditional Shewhart control chart, the X-bar and R/S chart, cannot give support to decide when it is not economically feasible to stop the process in order to remove special causes. Therefore, the purpose of this paper is to propose a new control chart design – a modified acceptance control chart, which provides a supportive method for decision making in economic terms, especially when the process has high capability indices. Design/methodology/approach The authors made a modeling expectation average run length (ARL), which incorporates the probability density function of the sampling distribution of Cpk, to compare and analyze the efficiency of the proposed design. Findings This study suggested a new procedure to calculate the control limits (CL) of the X-bar chart, which allows economic decisions about the process to be made. By introducing a permissible average variation and defining three regions for statistical CL in the traditional X-bar control chart, a new design is proposed. Originality/value A framework is presented to help practitioners in the use of the proposed control chart. Two new parameters (Cp and Cpk) in addition to m and n were introduced in the expected ARL equation. The Cpk is a random variable and its probability function is known. Therefore, by using a preliminary sample of a process under control, the authors can test whether the process is capable or not.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-02-08T11:57:40Z
      DOI: 10.1108/IJQRM-11-2017-0239
       
  • Total Quality Management practices and work-related outcomes
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to explore the impact of Total Quality Management (TQM) practices on the performance of employees working in higher education institutions (HEIs). It also examines the mechanism through which TQM practices affect the performance of employees. Design/methodology/approach Data for the current study were obtained from both public and private sector HEIs of Pakistan. In total, 400 questionnaires were distributed among the administrative and academic staff of 3 universities and 240 usable questionnaires were received. Data were analyzed through regression analysis using SPSS. Findings The results show that the TQM positively and significantly determines employee performance, and the mediating variables of job satisfaction and affective commitment. Both the mediating variables show a mediating role in the TQM/employee performance relationship. Research limitations/implications The study has practical implications for universities’ top management to focus on TQM practices that help in building and enhancing satisfaction, commitment, as well as performance of the employees that could ultimately result in better performance of the universities. Originality/value This research is an addition to the current literature and the first attempt in this area to the best of authors’ knowledge. This study will help in identifying how important and beneficial it would be for the services organizations to implement the TQM practices and identifying the impact of TQM practices on employee’s job performance.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-02-08T11:40:22Z
      DOI: 10.1108/IJQRM-04-2018-0097
       
  • Use of Basu-Dhar bivariate geometric distribution in the analysis of the
           reliability of component series systems
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to provide a new method to estimate the reliability of series system by using a discrete bivariate distribution. This problem is of great interest in industrial and engineering applications. Design/methodology/approach The authors considered the Basu–Dhar bivariate geometric distribution and a Bayesian approach with application to a simulated data set and an engineering data set. Findings From the obtained results of this study, the authors observe that the discrete Basu–Dhar bivariate probability distribution could be a good alternative in the analysis of series system structures with accurate inference results for the reliability of the system under a Bayesian approach. Originality/value System reliability studies usually assume independent lifetimes for the components (series, parallel or complex system structures) in the estimation of the reliability of the system. This assumption in general is not reasonable in many engineering applications, since it is possible that the presence of some dependence structure between the lifetimes of the components could affect the evaluation of the reliability of the system.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-02-08T11:33:51Z
      DOI: 10.1108/IJQRM-05-2018-0115
       
  • Signature reliability of binary state node in complex bridge networks
           using universal generating function
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to evaluate various reliability measures like reliability, expected lifetime (mean time to failure), signature reliability and compare networks based on the different flows. Design/methodology/approach The reliability characteristics of complex bridge networks have been evaluated using different algorithms with the help of universal generating function (UGF). Further, the signature reliability of the considered networks has been determined using Owen’s method. Findings The present paper proposes an efficient algorithm to compute the reliability indices of complex bridge networks having i.i.d. lifetime components (nodes, edges) with the help of UGF and Owen’s method. This study reveals that a slight change in the complex bridge network affects the reliability significantly. Finally, by the reliability structure function, proposed algorithms are used to find the signature and MTTF. From signature, we have determined the different failure probabilities corresponding to edges of the network. Originality/value In this work, we have evaluated reliability characteristics and signature reliability of the complex bridge networks using UGF method and Owen’s method respectively unlike done in the past.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-02-06T12:18:15Z
      DOI: 10.1108/IJQRM-08-2017-0166
       
  • Estimation of reliability of multicomponent stress-strength of a bathtub
           shape or increasing failure rate function
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to deal with the Bayesian and non-Bayesian estimation methods of multicomponent stress-strength reliability by assuming the Chen distribution. Design/methodology/approach The reliability of a multicomponent stress-strength system is obtained by the maximum likelihood (MLE) and Bayesian methods and the results are compared by using MCMC technique for both small and large samples. Findings The simulation study shows that Bayes estimates based on γ prior with absence of prior information performs little better than the MLE with regard to both biases and mean squared errors. The Bayes credible intervals for reliability are also shorter length with competitive coverage percentages than the condence intervals. Further, the coverage probability is quite close to the nominal value in all sets of parameters when both sample sizes n and m increases. Originality/value The lifetime distributions used in reliability analysis as exponential, γ, lognormal and Weibull only exhibit monotonically increasing, decreasing or constant hazard rates. However, in many applications in reliability and survival analysis, the most realistic hazard rate is bathtub-shaped found in the Chen distribution. Therefore, the authors have studied the multicomponent stress-strength reliability under the Chen distribution by comparing the MLE and Bayes estimators.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-02-06T12:14:56Z
      DOI: 10.1108/IJQRM-01-2017-0012
       
  • Behavioral study and availability optimization of a multi-state repairable
           system with hot redundancy
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to identify the criticality of various sub-systems through the behavioral study of a multi-state repairable system with hot redundancy. The availability of the system is optimized to evaluate the optimum combinations of failure and repair rate parameters for various sub-systems. Design/methodology/approach The behavioral study of the system is conducted through the stochastic model under probabilistic approach, i.e., Markov process. The first-order differential equations associated with the stochastic model are derived with the use of mnemonic rule assuming that the failure and repair rate parameters of all the sub-systems are constant and exponentially distributed. These differential equations are further solved recursively using the normalizing condition to obtain the long-run availability of the system. A particle swarm optimization (PSO) algorithm for evaluating the optimum availability of the system and supporting computational results are presented. Findings The maintenance priorities for various sub-systems can easily be set up, as it is clearly identified in the behavioral analysis that the sub-system (A) is the most critical component which highly influences the system availability as compared to other sub-systems. The PSO technique modifies input failure and repair rate parameters for each sub-system and evaluates the optimum availability of the system. Originality/value A bottom case manufacturing system is under the evaluation, which is the main component of front shock absorber in two-wheelers. The input failure and repair rate parameters were parameterized from the information provided by the plant personnel. The finding of the paper provides the various availability measures and shows the grate congruence with the system behavior.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-02-06T09:42:53Z
      DOI: 10.1108/IJQRM-12-2017-0274
       
  • Stochastic modelling and availability analysis of a critical engineering
           system
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to present the technique for evaluating the performance of a condensate system of a coal-based thermal power plant situated in the northern part of India. The data which used for system availability evaluation are not precise and are uncertain and, further, collected from concerned power plant history sheets and from discussion through plant personnel. Design/methodology/approach In the proposed model, traditional Markov birth-death process using a probabilistic approach is used to analyze the performance of a complex repairable condensate system of power plant up to a desired degree of accuracy. This approach has been demonstrated by breaking the condensate system into six subsystems arranged in series with two feasible states, namely, working and failed, labeled in a transition diagram and modeled as a Markov process, using Chapman–Kolmogorov equations, which are used for development of a probabilistic stochastic model for availability analysis in a more effecting manner, considering some suitable assumptions. Findings This study of analysis of reliability and availability can help in increasing the plant production and performance. The analysis is done with the help of availability matrices, which are developed using different combinations of failures and repair rates of all subsystems. To achieve the goal of maximum power generation, it is required to run the various subsystem of the concerned system of plant, failure free for a long duration. Therefore, the present approach may be a more powerful analysis tool to access the performance of all subsystems of a condensate system in terms of availability level achieved in availability matrices. The results of present study are found to be highly beneficial to the plant management for making maintenance decisions. Originality/value The present paper suggests a suitable technique for stochastic modeling and availability evaluation of an industrial system using Markovian approach and drawing a transition diagram to represent the operational behavior of the system. The present methodology includes the advantage of the ability to model and develop a more complex industrial system and helps in improving the performance and handling the uncertainties and possibilities of an industrial system.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-02-06T09:37:06Z
      DOI: 10.1108/IJQRM-07-2018-0167
       
  • Quality management vision of future early career operations managers
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to investigate the gap between the current vision and knowledge of future early career operations managers (OM) and a common strategic total quality management (TQM) framework. Design/methodology/approach A survey questionnaire and a non-parametric test for different groups of participants were adopted to identify the gap and analyse the significance of these groups on the factors in the TQM framework. Findings A new set of TQM factors with the necessity of more knowledge and understanding of future generation were identified, followed by the identification of clear differences amongst different groups of this generation. Practical implications A sustainable OM practice needs managers and leaders with a sustainable knowledge development of quality management (QM); and as the result of this study, the current vision of future young OM would not echo this. Originality/value This study has a systematic, non-parametric approach towards currently fragmented QM analysis, and is integrated with human resource and visionary elements of future young OM and universal QM models and theories.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-02-06T09:21:05Z
      DOI: 10.1108/IJQRM-06-2017-0114
       
  • An investigation of the satisfaction of project managers and team members
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to compare the job satisfaction levels between International Organization for Standardization (ISO) 9001-certified and non-ISO 9001-certified project-based companies in Jordan, for project managers (PMs) and project team members (consultants, engineers and architects). Design/methodology/approach The study sample consists of individuals from the aforementioned four roles of ISO 9001-certified and non-ISO 9001-certified companies. A questionnaire survey was used to collect the data from 57 companies. In total, 72 valid questionnaires were returned, yielding a response rate of 92.98 percent. The data obtained were statistically analyzed, and then the independent t-test was used to test the study hypotheses. Findings The results revealed that ISO 9001-certified companies experience higher job satisfaction level for the four roles compared to non-ISO 9001-certified companies. Between the two samples, it was noted that there is a significant difference in the PMs’, consultants’ and engineers’ satisfaction with co-workers and without any remarkable difference in the specific satisfaction. No significant difference between the two samples in general satisfaction was found for PMs and engineers. Finally, no significant difference was found in three satisfaction elements for architects. Research limitations/implications Understanding the linkage between being ISO 9001-certified company and project members’ job satisfaction can provide a new strategic direction for project-based companies’ performance management that can help in achieving superior work outcomes. A small sample size is considered the main limitation of this study. Originality/value This study attempts to fill the knowledge gap that is rarely investigated in the literature, i.e. the link between being ISO 9001-certified company and the level of project members’ job satisfaction.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-01-28T09:00:42Z
      DOI: 10.1108/IJQRM-03-2018-0071
       
  • Loyalty intentions and selected relationship quality constructs
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to assess the mediating effect of customer engagement on the relationships between selected relationship quality and value antecedents (commitment, customer satisfaction, trust and customer value), and the consequence (loyalty intentions) within the short-term insurance industry. Design/methodology/approach A descriptive research design that is quantitative in nature was followed and 491 responses from insurance customers were analysed. Findings Short-term insurers should facilitate customer engagement by implementing strategies that foster customer commitment, ensure customer satisfaction, build trust and create customer value. Facilitating customer engagement may lead to stronger loyalty intentions amongst customers towards the short-term insurer. Research limitations/implications The investigation offers a greater understanding of the relevance and importance of the customer engagement theory and the impact it may have in strengthening the relationships between factors of the relationship marketing domain and customer loyalty. Practical implications From a managerial perspective, it is evident that short-term insurers should facilitate customer engagement carrying out strategies that foster customer commitment, ensure customer satisfaction, build trust and create customer value. Originality/value Building on the work of earlier relationship and quality management scholars, the study provides new insight into the role and relevance of relationship quality and value factors and customer engagement, while simultaneously being assessed for their contribution to customer loyalty.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-01-28T09:00:31Z
      DOI: 10.1108/IJQRM-06-2018-0146
       
  • The relationships among transformational leadership, sustainable
           leadership, lean manufacturing and sustainability performance in Thai SMEs
           manufacturing industry
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to examine the structural relationship model among transformational leadership, sustainable leadership (SL), lean manufacturing practices and sustainability performance. Design/methodology/approach The data were collected from the middle and senior managers working in small and medium enterprises of Thai manufacturing industry. Regarding the quantitative approach, the data were collected by means of survey from 598 respondents from 374 companies. Qualitative data were collected from 40 participants by participant observation, non-participant observation and in-depth interview. Findings The model reported that lean manufacturing has a partial mediate effect on the relationship between transformational leadership and sustainability performance, and between SL and sustainability performance. The structural model is different in automotive and nonautomotive companies, and the structural model is different among the companies which implemented lean program for less than five years and above five years. The data from in-depth interview informed that lean practices are appropriate for automotive industry though with less implementation in other industries. Firms pay most attention on customer involvement with some attention on employee and supplier involvement. Managers give advices and exchange ideas with their followers rather than inspiring and giving opportunities to make decision. Research limitations/implications The findings may also enable Thai managers to realize that lean practices are appropriate for any industry. The first thing to do before launching lean program to all process is that the company should buy-in the understanding of managers about lean concept and implementation. Willingness with well understanding and realizing importance of lean program will lead to superior results, especially operational, economic and sustainable performance. Originality/value The reliability and validity measurements confirmed that both SL and environmental and social performance are appropriate for manufacturing industries. This study provides evidence of the positive relationship between SL and lean manufacturing, lean manufacturing and sustainability performance, as well as the partial mediate effect of lean manufacturing on the relationship between SL and sustainability performance, which are the additional contributions to research in academic field. The results confirmed the positive relationship between transformational leadership and lean manufacturing. The results reported that there is difference of lean practices between automotive and nonautomotive companies, and between companies which implemented lean program less than five years and above five years. The structural relationship result reported that transformational leadership has effects on lean manufacturing whereas SL has no effect on lean manufacturing, which asserted the previous study in which one leadership model is more appropriate for success within lean implementations.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-01-24T03:37:58Z
      DOI: 10.1108/IJQRM-09-2017-0178
       
  • Drivers and internalisation of the EFQM excellence model
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose Although the European Foundation for Quality Management (EFQM) Excellence Model has been widely adopted throughout Europe, a thorough examination of the factors that contribute to the internalisation of the model (i.e. a substantive adoption) has been neglected in the literature. The purpose of this paper is to present a model that analyses the drivers of the real internalisation of the EFQM excellence model, with a focus on the role of motives for adoption, and appraisal and compensation systems. Design/methodology/approach An empirical study was carried out based on a sample of Spanish organisations that had been awarded EFQM recognition. Structural equation models, cluster analysis and ANOVA were used to examine the research questions. Findings Internal motives concerning the creation of a participative style are the main driver of internalisation. Moreover, having an appraisal system-oriented towards the development of employees helps the substantive adoption of the EFQM model. These findings reinforce the importance of the soft elements of the EFQM model. Originality/value This study enhances evidence about the motives for adoption and their influence on the internalisation of the EFQM model. It analyses internalisation in a novel context, EFQM recognised organisations, and contributes to the debate about the efficacy of the EFQM model to performance improvement, by unveiling the factors that could foster the internalisation of the model within the organisational routines.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-01-23T07:44:06Z
      DOI: 10.1108/IJQRM-08-2017-0161
       
  • Bayesian networks for statistical process control with attribute data
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose Bayesian networks (BNs) are implemented for monitoring a process via statistical process control (SPC) where attribute data are available on output from the system. The paper aims to discuss this issue. Design/methodology/approach The BN provides a graphical and numerical tool to help a manager understand the effect of sample observations on the probability that the process is out-of-control and requires investigation. The parameters for the BN SPC model are statistically designed to minimize the out-of-control average run length (ARL) of the process at a specified in-control ARL and sample size. Findings The BN model outperforms adaptive np control charts in all experiments, except for some cases where only a large change in the proportion of sample defects is relevant. The BN is particularly useful when small sample sizes are available and when managers need to detect small changes in the proportion of defects produced by the process. Research limitations/implications The BN model is statistically designed and parameters are chosen to minimize out-of-control ARL. Future advancements will address the economic design of BNs for SPC with attribute data. Originality/value The BNs allow qualitative knowledge to be combined with sample data, and the average percentage of defects can be modeled as a continuous random variable. The framework of the BN easily permits classification of the system operation into two or more states, so diagnostic analysis can be performed simultaneously with statistical inference.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-01-23T07:35:46Z
      DOI: 10.1108/IJQRM-10-2017-0227
       
  • Assessment of Lean Six Sigma Readiness (LESIRE) for manufacturing
           industries using fuzzy logic
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose Many organizations have reported significant benefits after the implementation of Lean Six Sigma (LSS). Embracing LSS requires asking some important questions: How Lean Six Sigma Readiness (LESIRE) can be measured' How can an organization identify the barriers for LESIRE' Answers to these questions are critical to both academicians and practitioners. The paper aims to discuss this issue. Design/methodology/approach This study illustrates the development process of a Lean Six Sigma Readiness (LESIRE) evaluation model to assess an organization’s readiness for LSS deployment using the fuzzy approach. The model was developed from 4 enablers, 16 criteria and 46 attributes of LSS, identified through a literature review. Findings To demonstrate the efficiency of the model, this study testing the LESIRE evaluation model in three Indian SMEs. Using experts’ ratings and weight, the researchers calculated the Fuzzy Lean Six Sigma index (FLSS) which indicates the LESIRE level of an organization and the Fuzzy Performance Importance Index (FPII) that helps to identify the barriers for LESIRE. Research limitations/implications The main limitations of this study are that it did not consider the failure factors of LSS for model development and the LESIRE was only tested in manufacturing industries. Thus, future researchers could focus on developing a model with failure factors. The results obtained from the SMEs show that LESIRE is capable of assessing LESIRE in an industrial scenario and helps practitioners to measure LESIRE for the future decision making process. Practical implications The LESIRE model is easy to understand and use without much computation complexity. This simplicity makes the LESIRE evaluation model unique from other LSS models. Further, LESIRE was tested in three different SMEs, and it aided them to identify and improve their weak areas, thereby readying them for LSS deployment. Originality/value The main contribution of this study it proposes a LESIRE model that evaluates the organization for FLSS and FPII for LESIRE, which is essential for the organization embarking on an LSS journey. Further, it improves the readiness of the organization that is already practicing LSS.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-01-23T07:30:25Z
      DOI: 10.1108/IJQRM-09-2017-0181
       
  • Reliability, availability and maintainability analysis of a cement plant:
           a case study
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The demand of cement in India is expected to increase rapidly as the government has been giving immense boost to various housing facilities, infrastructure projects, road networks and railway corridors. One of the ways to meet this rise in the demand of cement is to increase the capacity utilization of the existing cement plants by improving their availability. The availability of a cement plant can be improved by avoiding failures and reducing maintenance time through reliability, availability and maintainability (RAM) analysis of its subsystems. The paper aims to discuss this issue. Design/methodology/approach The data related to time between failure (TBF) and time to repair (TTR) of all the critical subsystems of a cement plant were collected over a period of two years for carrying out RAM analysis. Trend test and serial correlation test were performed on TBF and TTR data to verify whether these data are independent and identically distributed or not. Afterwards, the authors use EasyFit 5.6 professional software to find best-fit distribution of TBF and TTR data and their parameters. The effectiveness of a preventive maintenance policy was evaluated by simulating the real and proposed systems. Findings The results of the analysis show that the raw mill and the coal mill are critical subsystems of a cement plant from a reliability point of view, whereas the kiln is a critical subsystem from an availability point of view. The analysis shows that the repair time of the cement mill should be reduced for improving the availability of the cement plant. The RAM analysis showed that the capacity of the case study company is 17 percent underutilized due to maintenance-related problems and 15 percent underutilized because of management-related problems. Practical implications The study exhibits the usage of RAM analysis in deciding preventive maintenance programs of several cement plant subsystems. Thus, it would serve as a reference for reliability and maintenance managers in deciding maintenance strategies of cement plants as well as in improving their capacity utilization. Originality/value The study exhibits the usage of RAM analysis in deciding preventive maintenance programs of several cement plant subsystems. Even more, using a simulation study, the authors show that preventive maintenance of the cement plant beyond a certain level can be disadvantageous as it leads to an increase in downtime and decrease in availability.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-01-17T09:55:24Z
      DOI: 10.1108/IJQRM-10-2017-0215
       
  • Cloud-based sustainable management of electrical and electronic equipment
           from production to end-of-life
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to describe a system and a database structure for the tracing of the waste of electric and electronic equipment (WEEE) using radio-frequency identification tags. Design/methodology/approach The problems related to the management of WEEE and the international directives have been presented and analyzed. The authors propose a traceability system to extend the tracing in the reverse logistics. Findings The proposed systems allow a more efficient management of the reuse, repair and recycle phase of the products and components, thus reducing the disposal of the electric and electronic equipment. There are many possible positive impacts of the system. The authors investigate, in particular, the impact of the single component tracing on the disposal cost reduction and on the reliability improvement using reused components. Research limitations/implications The system has been tested in the production chain of a company that produces electronic equipment for elevators. Up to now, the results and impact are limited to the company. Practical implications The system has been applied in the management of reused components of a specific company. The immediate result was that the system allowed the redesign of the electronic product with a cost reduction and reliability improvement. Social implications The authors think that the proposed solution allows a step forward in the reduction of WEEE. Originality/value The database structure and the web application, used to track the entire working life of an electronic appliance, are original. Original is also the idea of tracing all the single components of the electronic products.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-01-07T12:32:58Z
      DOI: 10.1108/IJQRM-02-2018-0055
       
  • Evaluating the elements of just in time (JIT) for implementation in
           maintenance by exploratory and confirmatory factor analysis
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to propose a model (structural equation modeling (SEM)) from the 16 identified just in time (JIT) elements useful for implementation of JIT in maintenance. Design/methodology/approach Data were collected using questionnaires posted to 421 manufacturing industries and automotive service industries in India from which 133 usable responses were obtained. First, exploratory factor analysis (EFA) is carried out to identify the factor structure after that confirmatory factor analysis (CFA) is carried out to verify the factor structure of a set of identified JIT elements. CFA is conceded by an SEM statistical technique. In this paper, EFA is applied to extract the factors in JIT implementation by the statistical package for social sciences (SPSS 24) software and confirming these factors by CFA through analysis of moment structures (AMOS 18) software. Findings Out of 18 identified JIT elements through literature and expert opinion only 16 JIT elements are selected for the study, two JIT elements removed due to the low value of correlation item-total correlation (CITC). Three factors extracted through EFA, which affects the benefits of JIT implementation in maintenance in quality improvement, production improvement and process control. SEM using AMOS 18.0 was used to perform the first-order three-factor structure (quality improvement, production improvement and process control) of the JIT implementation in maintenance. Originality/value The results will be useful for maintenance managers and maintenance professionals to understand the process of implementation of JIT in maintenance and to gain benefits after the implementation of JIT in maintenance in their respective organization.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-01-07T12:27:57Z
      DOI: 10.1108/IJQRM-12-2017-0279
       
  • To what extent do quality procedures determine the performance of French
           SMEs'
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose Although a considerable bulk of literature has focused on the relationship between the implementation of quality assurance certification and the corporate performance of companies, still few are the works devoted to small- and medium-sized enterprises (SMEs). The purpose of this paper is to provide additional evidence for the impact of implementing quality assurance and control certificates on the performance of French SMEs. Design/methodology/approach With a view to determining the effect of certification on the performance of 1,164 French SMEs, the study used the matching method as developed by D.B. Rubin (1974). The data mobilized is the fruit of matching the results of the IOC survey (the Organizational Change and Informatization) conducted in 2006 with data pertaining to the performance of companies as derived from DIANE files (Disk for Economic Analysis). Findings The empirical contribution of this study indicates the need of SMEs for implementing quality certificates to improve their turnover, increase their added value, increase their labor productivity and boost the productivity of financial capital. Research limitations/implications The paper has three main limitations. The first has to do with the choice of performance indicators. The paper is manly limited to the economic side of corporate performance. The second limitation is related to the origin of the data that covers only the year 2006. The study suffers from the time interval limit in which the relation between the implementation of the organizational innovations and the performance is tested. The third limitation concerns the generalization of results. The study was conducted on French SMEs, which limits the generalization of the results obtained. Practical implications Research findings have many implications on researchers and SME executives. For this latter, quality assurance system is perceived as a tool to maintain a competitive edge over competitors. Originality/value The paper aims to assess the impact of implementing quality certificates on the performance of French SMEs. To the authors’ knowledge, this is the first study examining the relationship between the implementation of a quality assurance certificate and the performance of a large sample of 1,164 French SMEs.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-01-07T01:46:39Z
      DOI: 10.1108/IJQRM-01-2018-0002
       
  • Consumer safety complaints and organizational learning: evidence from the
           automotive industry
    • Pages: 2094 - 2118
      Abstract: International Journal of Quality & Reliability Management, Volume 35, Issue 10, Page 2094-2118, November 2018.
      Purpose The purpose of this paper is to investigate the value of information in consumer safety complaints for organizational learning. Design/methodology/approach Empirical analysis of this study uses a novel secondary data set, which is formed by combining complaints data filed with the National Highway Traffic Safety Administration (NHTSA) for potential safety defects, and design change information from 2003 to 2011 model-year vehicles in the USA. Findings First, the paper demonstrates the value of information embedded in complaints. Second, in the case of radical product redesigns, owing to the lack of direct applicability of consumer feedback based learning, the impact of learning on product safety is found to be muted, third, the results suggest that the safety complaint rates vary by vehicle classes/categories and, fourth, the findings differ from prior research conclusions on vehicle quality. Prior research finds the debuting car models have the lowest repair rates among all car models produced in a given year, but the current study finds the debuting models to have the highest rates of safety complaints. Originality/value Quality management literature rarely examines the safety complaints data (which, unlike other consumer feedbacks, focuses exclusively on the safety hazards due to flaws that result in accidents). This paper fills the gap in literature by linking safety complaints with future product quality and organizational learning.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2018-11-28T03:00:52Z
      DOI: 10.1108/IJQRM-03-2017-0048
       
  • Developing a structured framework for measuring police efficiency
    • Pages: 2119 - 2135
      Abstract: International Journal of Quality & Reliability Management, Volume 35, Issue 10, Page 2119-2135, November 2018.
      Purpose The growing emphasis on “managerialism” in police and the pressure to employ scientific methods of performance measurement warrants the need for a structured framework. The scope of police duties is large as it relates to several preventive and corrective action related to public safety and crime management. A challenge in measuring police performance is to take into consideration a range of variables that can potentially influence performance. The purpose of this paper is to provide a structured framework for measuring different facets of police efficiency, which is especially useful in managerial decision making. Design/methodology/approach This paper uses data envelopment analysis and discusses efficiency measurement in terms of the technical, managerial and scale efficiency, resources utilization patterns, returns-to-scale analysis and measurement of super-efficiency. The application of framework is based on the data of the police stations of Lahore, a large metropolitan city in Pakistan. Findings The paper shows the application of different measures of efficiency in making decisions pertaining resources allocation, prioritizing areas for improvement and identifying benchmarks for performance improvement. Different measures of efficiency are presented in the form of a structured framework. Practical implications Managers can use this framework to glean rich insights into different types of efficiency and sources of inefficiency. Further, a discussion of variables provided in this paper can be especially useful in determining trade-offs during the selection of inputs and outputs. Originality/value The key contribution of this paper is in providing a multifaceted efficiency measurement framework, that is capable of providing rich insights into the sources of inefficiency and helps scientific decision making. To the best of our knowledge, such a multifaceted approach has not been provided in previous publications.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2018-11-28T03:02:41Z
      DOI: 10.1108/IJQRM-04-2017-0067
       
  • Robust skewness dispersion control charts
    • Pages: 2136 - 2156
      Abstract: International Journal of Quality & Reliability Management, Volume 35, Issue 10, Page 2136-2156, November 2018.
      Purpose The purpose of this paper is to explore the scope of robust dispersion control charts in a distribution-free environment, which is a specific case of non-normal control charts. These control charts are skewness-based structures designed to monitor skewed-type processes whilst equally performing under symmetric processes. Moreover, the choice of a suitable control chart for a particular non-normal situation is also suggested. Design/methodology/approach The probability control limits approach is considered as an alternative way to determine the skewness-based structure of dispersion control charts. The proposals of five robust and two conventional Shewhart-type dispersion control charts are suggested as efficient competitors of skewness correction (SC) dispersion control charts. The evaluation of robust proposals and competing dispersion control charts is done through false alarm rate (FAR) and probability to signal (PTS) measures. Findings The proposed dispersion control charts are found robust and efficient alternatives of SC dispersion control charts in both normal and non-normal distributions. The FARs and PTS properties of proposed control charts are impressive in all studied cases, and a real-data example also verifies the dominance of proposed control charts. Originality/value Conventional dispersion control charts quickly lose their efficiency as underlying process distribution deviates from normality; however, robust control charts emerge as most suitable candidates in such situations. This paper proposes the idea of robust dispersion control charts under a distribution-free structure for the skewed-type process, which is not yet explored.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2018-11-28T03:02:34Z
      DOI: 10.1108/IJQRM-04-2017-0063
       
  • An empirical investigation of implementing Lean Six Sigma in Higher
           Education Institutions
    • Pages: 2157 - 2180
      Abstract: International Journal of Quality & Reliability Management, Volume 35, Issue 10, Page 2157-2180, November 2018.
      Purpose The purpose of this paper is to empirically investigate the applicability and implementation of Lean Six Sigma (LSS) in Higher Education Institutions (HEIs). LSS is considered as the most recent service quality practice which has proved its success in manufacturing and service sectors. Though there is plenty of literature available with regard to the application and benefits of LSS in services sectors (like Banking, healthcare, information technology sectors, etc.), there is apparently no evidence in the literature about the implementation of LSS in HEIs. Design/methodology/approach A five-phased approach is followed. A multiple case-study method is used in this paper to explore this implementation of LSS in two select international University colleges. LSS toolkit comprising of define-measure-analyze-improve-control phases is used for the execution of the projects. Featuring student teams in LSS project management adds novelty to the approach. Findings The paper empirically validates the application of LSS in HEIs. Further, it highlights the practical challenges and benefits of LSS in the HEI setup. An in-depth empirical analysis of LSS toolkit application, LSS change management and using student teams in LSS project management are the highlights of this paper. The paper concludes that LSS is applicable and could provide positive benefits to HEIs. Research limitations/implications LSS application in HEIs is perhaps a new research area, which is at its nascence and upcoming in the researchers’ community. Hence, this paper would serve as a platform and provide directions for future scholars to ponder on the subject. Practical implications Since the cases are executed in the real-time setup of HEIs, the paper has several practical implications. First, the academia and practitioners’ collaboration in executing projects adds novelty. Second, the involvement of student teams from project selection to execution brings in practical perspectives alongside the academic education. Several other key lessons learned and benefits of LSS in HEI setup are presented as part of the paper. Originality/value LSS has been successful in the past few decades in the manufacturing and service sectors. However, its application in HEIs was very nascent, and few researchers even doubted its relevancy of application in HEIs. This study illustrates its importance and application to the higher education sector which is a highly responsible area of the service sector, for imbibing quality excellence, serving as an excellent resource for researchers and higher education professionals.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2018-11-28T03:03:59Z
      DOI: 10.1108/IJQRM-05-2017-0098
       
  • Balancing risk and revenue: cost of quality within the banking industry
    • Pages: 2181 - 2194
      Abstract: International Journal of Quality & Reliability Management, Volume 35, Issue 10, Page 2181-2194, November 2018.
      Purpose By developing a better understanding of costs associated with improving organizational quality and costs incurred by neglecting it, banks could devise more optimal operational policies. The paper aims to discuss this issue. Design/methodology/approach This paper proposes a generic banking cost of quality (COQ) model developed from Colombian banking data. The model has been developed using the product performance approach, which is consistent with strategizing from a long-term and organization-wide perspective. The proposed COQ function is composed of prevention and appraisal categories, costs caused by events of operational risks and opportunity costs caused by events of credit risks measured though non-performing loans. Findings The model was validated using data obtained from three major Colombian banks. The significant theoretical contribution of this research stems from the development of a banking COQ model which represents a pioneer effort at quantifying quality costs in financial institutions. Originality/value This is a unique attempt at using a product performance approach in service industry and also a rare effort toward incorporating opportunity costs in COQ. Managerially, the proposed COQ model can be established as a holistic business strategy and can serve as a tool helping managers to evaluate the impact of quality management initiatives and to decide on trade-offs between quality level and quality costs.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2018-11-28T02:59:08Z
      DOI: 10.1108/IJQRM-06-2017-0106
       
  • Using asset-based criterion to implement quality management philosophy in
           service operations to enhance business performance
    • Pages: 2195 - 2211
      Abstract: International Journal of Quality & Reliability Management, Volume 35, Issue 10, Page 2195-2211, November 2018.
      Purpose The purpose of this paper is to study the impact of successfully assessing basic resources of an organization, such as technology and human resources, needed to enhance performance of service businesses through the use of quality management ideals. Effective coordination of these two types of organizational assets is shown to impact both the design and the implementation of quality management practices, which than leads to enhanced organizational performance. Design/methodology/approach Retail banking firms were surveyed for this study to analyze empirical data related to technology and people-based assets. Results were corroborated on the basis of in-depth interviews with several banking managers to provide real-world verification of the findings. Findings This study identifies the significance of key assets in a banking service environment that can help the implementation of quality management philosophy. Paper discusses how managers can focus on the development of key assets as well as the use of these assets in the design of quality management processes to enhance business performance. Research limitations/implications This research focused on a specific sector of the service industry, the banking sector. Relatively small size of the study sample may have impacted the outcome of research applicability on a wide spectrum of businesses. Also, constantly changing financial regulations could not be incorporated in the study. On the positive side, strong managerial feedback provides guidance toward adopting the study results, and lays the foundation for future research suggesting an additional focus on corporate responsibility and sustainability issues while managing quality. Originality/value As today’s rapidly evolving society pushes people out of service encounters, replacing them with efficient and cost-saving technology, roles of both the people and the technology in an organization must be fully understood. This paper shows that, despite the exponential growth of technological innovation, both people and technology are critical to enhancing organizational performance through successful adoption of quality management practices.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2018-11-28T02:59:14Z
      DOI: 10.1108/IJQRM-12-2016-0223
       
  • A six sigma based approach to evaluate the on time performance of Indian
           railways
    • Pages: 2212 - 2226
      Abstract: International Journal of Quality & Reliability Management, Volume 35, Issue 10, Page 2212-2226, November 2018.
      Purpose The purpose of this paper is to propose an approach to evaluate “on time” performance for a class of Indian railways (IR). This approach is build-up on the theme of six sigma level computation for continues data. The arrival data obtained from a class of IR called “Rajdhani Express” exhibited a unique characteristic: neither did the data followed a distribution nor could it be transformed to fit into a distribution. In this work, the authors present an approach to evaluate on time performance of IR, given such “unruly” data. Design/methodology/approach An attempt is made to develop a lucid approach, given an unruly data. Initially, the authors plot a histogram using Scott’s method. Later, the authors use Taguchi’s quality loss function to assign weights to each of the bins in histogram. Weights to each of the bins are assigned based on the predefined rules. Finally, sigma level is computed by using weighted defect per million opportunities (DPMO) approach. In this paper, the authors discuss the proposed algorithm, an illustrative example with an emphasis on a class of IR. Findings Given the unique characteristic (unruly data) of arrival data of IR, the proposed methodology helps in quantifying it is on time performance. This method extends the conventional DPMO approach of computing the sigma level. The proposed method is validated using various data sets of different distributions. Further, this approach can be generalized and applied to data set of any distribution. Since distribution of the data is not the pre-requisite, the proposed approach can be applied to compare (and benchmark) data sets of different distributions. This methodology, thus, paves path to develop newer approaches in quantifying and benchmarking the sigma levels. Research limitations/implications In this manuscript, the authors present a case of Rajdhani Express trains, a class of IR. A practicing manager can use this approach to compare the performance of various classes of railways and benchmark their performance. Such an approach, with suitable modifications (if any) can be applied to evaluate performance in various service industries. Originality/value Usually, if the data are unruly, the sigma level is computed by using ad-hoc methods that may provide compromising solutions and/or inaccurate results. The developed methodology proposes a unique approach to quantify sigma level, given such an unruly nature of the data. This approach thus fills the long needed gap in addressing such situations. This approach can be applied in various similar situations. A case of IR is presented.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2018-11-28T03:02:12Z
      DOI: 10.1108/IJQRM-07-2017-0128
       
  • The effect of inventory performance on product quality
    • Pages: 2227 - 2247
      Abstract: International Journal of Quality & Reliability Management, Volume 35, Issue 10, Page 2227-2247, November 2018.
      Purpose The purpose of this paper is to empirically investigate the relationship among inventory performance, financial performance (FP) and product quality. Design/methodology/approach The empirical analysis is based on two-stage least squares analysis of detailed firm-transaction data from Chinese manufacturing export firms for the period between 2001 and 2013. Findings Results show that inventory performance has a positive impact on product quality while using inventory efficiency, inventory productivity and inventory leanness to measure inventory performance. Furthermore, the effect of inventory performance on product quality is found to be partially mediated by FP. Practical implications The research provides mangers evidence of the benefits of inventory performance as an antecedent of product quality. Managers without sufficient liquidity or cost advantage to get better FP can achieve product quality improvement through enhancing inventory management performance. Originality/value This study first empirically investigates the relationship between inventory performance and product quality, and examines the mediating effect of FP on this relationship.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2018-11-28T03:01:56Z
      DOI: 10.1108/IJQRM-08-2017-0162
       
  • Impacts of ISO 9000 on Greek SMEs business performance
    • Pages: 2248 - 2271
      Abstract: International Journal of Quality & Reliability Management, Volume 35, Issue 10, Page 2248-2271, November 2018.
      Purpose The purpose of this paper is to explore the association between ISO 9000 certification and business performance for small-to-medium enterprises in the food and beverage (F&B) industry. Design/methodology/approach The research employed a qualitative approach based on case studies to investigate in depth how companies perceive ISO 9001. More specifically, four enterprises were examined, and a total of 26 semi-structured in-depth interviews were conducted with top and middle managers from the companies. Questions were validated by experts and through pilot interviews. In total, 45 documents of a broad range related to the quality management system were examined. Personal observation and non-structured consultation with personnel were also used to evaluate the possible impacts and livelihood outcomes. Findings Research findings showed that the certified companies in the F&B industry gain a number of both internal and external benefits, including: quality awareness, increased productivity, increased personnel participation and efficiency, improved image and penetration into new markets. Regarding the financial benefits of certification, the findings are not as convincing, as one company reported no financial benefits, and the rest reported that financial benefits are indirect and intangible. Conclusively, it can be said that SMEs that wish to pursue certification should certainly expect benefits. Practical implications Although many studies have concentrated on analyzing the impact of the implementation of ISO 9001 certification, there is still a clear need for research in specific sectors. Practicing managers and researchers will be able to examine findings in order to evaluate benefits and weaknesses from certification, thereby identifying and acting before and after certification. Originality/value Although the F&B industry has shown a great preference for the ISO 9000 standard and has adopted it extensively, scant empirical evidence has been recorded on the subject. This paper contributes to a better understanding of the benefits for implementing the ISO 9001 certification and to the analysis of its application to the ever-important F&B industry in Greece, a country whose economy is particularly supported by SMEs and has been severely hit by the economic crisis. Researchers will therefore further their knowledge, understand benefits but also acknowledge weaknesses.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2018-11-28T03:02:55Z
      DOI: 10.1108/IJQRM-10-2017-0204
       
  • Modeling critical factors for assessing Indian food safety practices
    • Pages: 2272 - 2288
      Abstract: International Journal of Quality & Reliability Management, Volume 35, Issue 10, Page 2272-2288, November 2018.
      Purpose India is in the process to achieve an important place in $2,000bn global food trade. In order to achieve this goal, there is a need to develop a food safety system which is well written down in line with international practices that are highly coordinated based on self-compliance to assure consumer protection. Accordingly, many organizations undergo assessment of their food safety system to verify compliance internally as well as externally. The purpose of this paper is to provide insight on the critical factors and benefits by evaluating the food safety assessment practices. Design/methodology/approach A questionnaire-based survey is conducted among 96 Indian food business operators and regulators involved in assessment practices to obtain critical factors for the assessment of food safety practices. The questionnaire captures indicators for motivations or challenges and benefits of food safety assessment to identify critical factors using exploratory factor analysis. Model for the food safety assessment practices was developed based on multiple regression analysis by determining the impact of factors on the benefits of food safety assessment. Findings This paper identifies four factors responsible for assessing food safety practices, namely, business-centric approach, legislative needs, technical practices and organization resentment as a combination of reasons and challenges along with two benefits risk: protection and organization reinforcement. The regression analysis indicates that the organization reinforcement gets positively impacted by business and technical practices and negatively by organization resentment. Risk protection has a significant relationship with legislative needs. Originality/value This is the first attempt to systematically explore the factors around the assessment of food safety practices in India. This study provides inputs for the practical application of managers and regulators.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2018-11-28T02:59:38Z
      DOI: 10.1108/IJQRM-07-2017-0144
       
  • Integrated management systems diffusion models in South European countries
    • Pages: 2289 - 2303
      Abstract: International Journal of Quality & Reliability Management, Volume 35, Issue 10, Page 2289-2303, November 2018.
      Purpose The purpose of this paper is to dissect the diffusion of the number of organizations that implemented multiple management systems (MSs), considering the International Organization for Standardization (ISO) 9001, ISO 14001 and OHSAS 18001 standards (quality, environment and safety) in the South European countries: Italy, Portugal and Spain. In addition, based on the data collected, forecasting models were developed to assess at which extent the multiple certifications are expected to occur in each studied country. Design/methodology/approach Data concerning the evolution of the amount of multiple MSs in Italy, Portugal and Spain were collected for the period between 1999 and 2015. The behavior of the evolution of the number of MSs over the years was studied adopting both the Gompertz and the Logistic models. The results obtained with these two models were compared and analyzed to provide a forecast for the next years. Findings The diffusion throughout the years of the number of MSs presents an S-shaped behavior. The evolution of the amount of MSs in countries with a lower saturation level are properly fitted by the Gompertz model whereas the Logistic model fits more accurately when considering countries with a larger saturation level. Research limitations/implications The data related to the early years are not available in some of the countries. To overcome this shortcoming missing data were extrapolated from the data set provided by the annual ISO survey. Additionally, the integration level attained by each company was not assessed and, on this regard and in the scope of this paper, an integrated management system is understood as implemented when organizations have multiple MSs implemented. Practical implications The results provide a cross-sectional portrayal of the diffusion of MSs certifications in the South European countries and enable a forecast for the trend in the next years. Originality/value This study aims for the first time, to the best of the authors’ knowledge, to analyze the diffusion of multiple MSs throughout the years.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2018-11-28T03:00:59Z
      DOI: 10.1108/IJQRM-03-2017-0044
       
  • Qualities of effective cruise marketing strategy
    • Pages: 2304 - 2327
      Abstract: International Journal of Quality & Reliability Management, Volume 35, Issue 10, Page 2304-2327, November 2018.
      Purpose The purpose of this paper is to investigate the qualities of delighted cruise travelling experience and proposed cruisers’ experience, service convenience and perceived overall value as the drivers of cruisers’ satisfaction and revisit intention. Thus, the attributes of an effective cruise-marketing strategy in formulating consumer’s recreational experiences are examined. Design/methodology/approach A total of 287 questionnaires were collected and structural equation modelling technique was used to analyse data obtained from cruise travellers. Findings The empirical results indicated that service convenience and cruisers’ experience significantly influence perceived overall cruisers’ satisfaction and revisit intention, whereas perceived overall cruise value influences perceived overall cruisers’ satisfaction but not cruisers’ revisit intention. Furthermore, empirical assessments support that service convenience is a higher-order model (reflective-reflective) consisting of decision convenience, access convenience, transaction convenience, benefit convenience and post-benefit convenience. Originality/value This research is among ongoing attempts that have been carried out regarding the qualities of cruise satisfaction and revisits intention and uncovers recreational experiences to propose an effective cruise-marketing strategy.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2018-11-28T03:00:01Z
      DOI: 10.1108/IJQRM-07-2017-0135
       
  • A customer journey perspective on service delivery system design: insights
           from healthcare
    • Pages: 2328 - 2347
      Abstract: International Journal of Quality & Reliability Management, Volume 35, Issue 10, Page 2328-2347, November 2018.
      Purpose The purpose of this paper is to provide novel theoretical insight into service delivery system (SDS) design. To do so, this paper adopts a customer journey perspective, using it as a frame to explore dimensions of experience quality that inform design requirements. Design/methodology/approach This study utilises UK Patient Opinion data to analyse the stories of 200 cancer patients. Using a critical incident technique, 1,207 attributes of experience quality are generated and classified into 17 quality dimensions across five stages of the customer (patient) journey. Findings Analysis reveals both similarity and difference in dimensions of experience quality across the patient journey: seven dimensions are common to all five journey stages, from receiving diagnosis to end of life care; ten dimensions were found to vary, present in one or several of the stages but not in all. Research limitations/implications Limitations include a lack of representativity of the story sample and the impossibility to verify the factual occurrence of the stories. Practical implications Adopting a patient journey perspective can improve the practitioner understanding of the design requirements of SDS in healthcare. The results of the study can be applied by managers to configure SDS that achieve a higher quality of patient care throughout the patient journey. Originality/value This paper extends existing literature on SDS design by adopting a customer journey perspective, revealing heterogeneity in experience quality across the customer journey currently unaccounted for in SDS design frameworks. Specifically, the findings challenge homogeneity in extant SDS design frameworks, evidencing the need for multiple, stage-specific SDS design requirements.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2018-11-28T03:01:13Z
      DOI: 10.1108/IJQRM-03-2018-0073
       
  • Performance-related specification and payment modifiers in highway
           construction projects
    • Pages: 2348 - 2372
      Abstract: International Journal of Quality & Reliability Management, Volume 35, Issue 10, Page 2348-2372, November 2018.
      Purpose The ability to measure and assess “quality” is essential in building and maintaining a safe and effective transportation system. Attaining acceptable quality outcomes in transportation projects has been a reoccurring problem at both the federal and state levels, at least partially, as a result of poorly developed, inefficient or nonexistent quality assurance/quality control (QA/QC) processes. The purpose of this paper is to develop and implement a new QA/QC process that focuses on a novel double-bounded performance-related specification (PRS) and corresponding pay factor policy that includes both lower and upper quality acceptance and payment reward boundaries for bridge concrete. Design/methodology/approach The authors use historical data to design different payment scenarios illustrating likely industry responses to the new PRS, and select the single scenario that best balances risk between the agency and industry. The authors then convert that payment scenario to a pay factor schedule using a search heuristic and determine statistical compliance with the PRS using percent-within-limits (PWL). Findings The methodology offers an innovative approach for developing an initial set of pay factors when lifecycle cost data are lacking and the PRS are new or modified. An important finding is that, with a double-bounded PRS, it is not possible to represent pay factors using the simplified table PWL currently employed in practice because each PWL value occupies two separate positions in the payment structure – one above the design target and one below it. Therefore, a more detailed set of pay factors must be employed which explicitly specify the mean sample value and the design target. The approach is demonstrated in practice for the Agency of Transportation in state of Vermont. Research limitations/implications The authors demonstrate a novel approach for developing a double-bounded PRS and introduce a payment incentive/disincentive policy with the goal of improving total product quality. The new pay factor policy includes both a payment penalty below the contracted price for failing to meet a specified performance criterion as well as a payment premium above the contracted price that increases as the sample product specification approaches an “ideal” design value. The PRS includes both an upper and lower acceptance boundary for the finished product as opposed to only a lower tail acceptance boundary, which is the traditional approach. Practical implications The authors illustrate a research collaboration between academia and a state agency that highlights the role academic research can play in advancing quality management practices. The study involves the use of actual product performance data and is operational as opposed to conceptual in nature. Finally, the authors offer important practical insights and guidance by demonstrating how a new PRS and pay factor policy can be developed without the use of site-specific historical lifecycle cost (LCC) data that include detailed manufacturing, producing and placement cost data, as data related to product performance over time. This is an important contribution, as the development and implementation of pay factor policies typically involve the use of historical LCC data. However, in many cases, these data are not available or may be incomplete. Social implications With the new PRS and pay factor schedule, the Agency expects shrinkage and cracking on bridge decks to decrease along with overall maintenance and rehabilitation costs. A major focus the new PRS is to actively involve industry partners in quality improvement efforts. Originality/value The authors focus on a major modification to an existing QA/QC process that involves the development of a new PRS and an associated pay factor policy undertaken by the Vermont Agency of Transportation. The authors use empirical data to develop a novel double bounded PRS and payment schedule for concrete and offer unique operational/practical insight and guidance by demonstrating how a new PRS and pay factor policy can be developed without the use of site-specific historical LCC. Typically, PRS for in-place concrete have only a lower tail acceptance boundary.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2018-11-28T02:58:53Z
      DOI: 10.1108/IJQRM-03-2018-0061
       
  • Availability analysis of distillery plant using petri nets
    • Pages: 2373 - 2387
      Abstract: International Journal of Quality & Reliability Management, Volume 35, Issue 10, Page 2373-2387, November 2018.
      Purpose The purpose of this paper is to prepare a methodology to evaluate availability analysis of distillery plant using Petri nets (PN). The effect of various failures, repair rate and availability of repair facilities on the system has been studied. Design/methodology/approach The PN model of a system is developed to study the dynamic behavior of the system under various working conditions. Availability analysis of the plant is presented taking into consideration of failure and repair rates of their subsystems and has been carried out using Monte Carlo simulation. Findings The bottle washing machine is the most critical machine from a maintenance point of view which has more compact on the system performance as compared to other machines. The availability analysis of distillery plant helps the management to adopt a suitable maintenance policy to improve upon plant production and plant availability. Originality/value The application of this proposed PN-based approach is very useful in finding the most critical subsystem and its effect on the performance of the system in terms of availability and plant production. Further, the advantage of the PN approach is that dynamic behavior of the system under consideration is modeled with graphic representation of the system and given distribution can be associated with the subsystems for analysis. The superiority of this approach over others, such as network, fault tree and Markov analysis, is outlined in the paper.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2018-11-28T02:59:53Z
      DOI: 10.1108/IJQRM-06-2017-0108
       
  • Optimizing replacement time for mining shovel teeth using reliability
           analysis and Markov chain Monte Carlo simulation
    • Pages: 2388 - 2402
      Abstract: International Journal of Quality & Reliability Management, Volume 35, Issue 10, Page 2388-2402, November 2018.
      Purpose The purpose of this paper is twofold: an approach is proposed to determine the optimum replacement time for shovel teeth; and a risk-quantification approached is developed to derive a confidence interval for replacement time. Design/methodology/approach The risk-quantification approach is based on a combination of Monte Carlo simulation and Markov chain. Monte Carlo simulation whereby the wear of shovel teeth is probabilistically monitored over time is used. Findings Results show that a proper replacement strategy has potential to increase operation efficiency and the uncertainties associated with this strategy can be managed. Research limitations/implications The failure time distribution of a tooth is assumed to remain “identically distributed and independent.” Planned tooth replacements are always done when the shovel is not in operation (e.g. between a shift change). Practical implications The proposed approach can be effectively used to determine a replacement strategy, along with the level of confidence level, for preventive maintenance planning. Originality/value The originality of the paper rests on developing a novel approach to monitor wear on mining shovels probabilistically. Uncertainty associated with production targets is quantified.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2018-11-28T02:59:01Z
      DOI: 10.1108/IJQRM-09-2017-0187
       
  • Signature reliability of linear multi-state sliding window system
    • Pages: 2403 - 2413
      Abstract: International Journal of Quality & Reliability Management, Volume 35, Issue 10, Page 2403-2413, November 2018.
      Purpose The purpose of this paper is to deal with a linear multi-state sliding window coherent system which generalizes the consecutive k-out-of-r-from-n:F system in the multi-state case. The system has n linearly ordered multi-state elements consisting of m parallel independent and identically distributed elements. Every element of the system can have two states: completely working or totally failed. The system fails if the sum of performance rate is lower than the given weight. Design/methodology/approach The authors proposed to compute the signature, MTTF and Barlow–Proschan index with the help of UGF technique of multi-state SWS which consists of m parallel i.i.d. components in each multi-state window. Findings In the present study, the authors have evaluated the signature reliability, expected lifetime, cost analysis and Barlow–Proschan index. Originality/value In this study, the authors have studied a linear multi-state sliding window system which consists of n ordered multi-state element, and each multi-state element also consists of m parallel windows. The focus of the present paper is to evaluate reliability metrices of the considered system with the help of signature from using the universal generating function.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2018-11-28T03:02:38Z
      DOI: 10.1108/IJQRM-04-2017-0083
       
  • Improvement of the reliability of a dependent system under copula
    • Pages: 2414 - 2435
      Abstract: International Journal of Quality & Reliability Management, Volume 35, Issue 10, Page 2414-2435, November 2018.
      Purpose The purpose of this paper is to analyze a parallel system consisting of n dependent components with lifetimes following Weibull distribution. FGM Copula in multivariate case is used to generate the reliability function of the original system. A reduction method is introduced to improve system reliability. Other methods of hot, cold and warm duplication are established to improve system reliability. An application is introduced to show the results and compare between different improvement methods. Design/methodology/approach In this paper, a study of a parallel system consisting of n dependent and non-identical components is introduced. Reliability function of the original system is derived by using the concepts of copula, subject to Weibull distribution. Reliability function of the original system is improved according to reduction, hot duplication, warm and cold duplication methods. Reliability equivalence factors are introduced to compare between different system designs. Numerical illustration and real-time data application are discussed to show the results obtained in this paper. Findings Copulas can be used to model the reliability of systems with dependent units. Originality/value This paper is original. Improvement of the reliability of dependent systems is not discussed in literature. Copula is a useful tool to analyze the reliability of dependent systems. The introduced model is considered as a generalization of the models discussed in literature.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2018-11-28T03:03:56Z
      DOI: 10.1108/IJQRM-09-2017-0201
       
  • Factor analysis-validated comprehensive employee job performance scale
    • Pages: 2436 - 2449
      Abstract: International Journal of Quality & Reliability Management, Volume 35, Issue 10, Page 2436-2449, November 2018.
      Purpose The purpose of this paper is to develop an employee job performance (EJP) scale questionnaire that encompasses the job time, job quality and job quantity dimensions of employee performance. Design/methodology/approach In this study, the questionnaire questions were first validated using exploratory factor analysis (EFA) and then confirmatory factor analysis (CFA) along the three performance dimensions. The research samples were auto-parts assembly line workers. The factor analysis results confirmed the validity of the questionnaire as a reliable employee performance evaluation tool, as evidenced by the composite reliability (CR) and the average variance extracted (AVE). Findings The questionnaire questions identified three factors of EJP, namely, job time, job quality and job quantity, with 13 items. The factor analysis results confirmed the validity of the questionnaire as a reliable employee performance evaluation tool, as evidenced by a CR of 0.894 and AVE of 0.739, in addition to χ2=63.340, df=54, p=0.180, goodness of fit index=0.976, adjusted goodness of fit index=0.960, RMSEA=0.021 and root mean square residue=0.014. Research limitations/implications The EJP scale questionnaire was examined using only EFA and CFA. These scales are expected to help academics, researchers and practitioners test theories. Because of the features of the sample, the final results should be considered carefully. Practical implications Importantly, the factor analysis results suggest that the proposed EJP scale questionnaire can be applied to various industries and settings either as is or with minimal modifications. Originality/value The EJP questionnaire is novel and can serve as an excellent EJP tool to measure employees’ behavioral output. The questionnaire can provide empirical data on employee performance output based on the employee’s perspective.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2018-11-28T03:01:38Z
      DOI: 10.1108/IJQRM-06-2017-0117
       
  • Cold standby renewal process integrated with environmental factor effects
           for reliability evaluation of multiple autonomous robot system
    • Pages: 2450 - 2464
      Abstract: International Journal of Quality & Reliability Management, Volume 35, Issue 10, Page 2450-2464, November 2018.
      Purpose The purpose of this paper is to estimate the required number of robots consisting of some non-repairable components, by employing a renewal model. Considering the importance of the availability of standby autonomous robots for reducing and preventing down-times of advanced production systems, which imposes a considerable loss, the present research tries to introduce a practical model for the determination of the required number of autonomous robots. Design/methodology/approach Most of the available research on the estimation of the required standby components based on the reliability characteristics of components has not considered the environmental factors influencing the reliability characteristics. Therefore, such estimations are not accurate enough. In contrast, this paper focuses on the influence of the environmental and human factors (e.g. the operators’ skill) on the robot reliability characteristics. Findings A model based on the Weibull renewal process combined with the cold standby strategy is developed for reliability evaluation of the system. The effectiveness of the proposed integrated reliability evaluation model is worked out in some cases. Originality/value Determining a required number of robots is an important issue in availability and utilization of a complex robotic production system. In an advanced production system, while the estimation process of a required number of robots can be performed through different approaches, one of the realistic estimation methods is based on the system’s reliability that takes into consideration the system operating environment. To forecast the required number of robots for an existing production system, in some cases, the assumption of a constant failure rate does not differ much from the assumption of a non-constant failure rate and can be made with an acceptable error.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2018-11-28T03:01:51Z
      DOI: 10.1108/IJQRM-08-2017-0160
       
  • Defining a data-driven maintenance policy: an application to an oil
           refinery plant
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is developing a data-driven maintenance policy through the analysis of vast amount of data and its application to an oil refinery plant. The maintenance policy, analyzing data regarding sub-plant stoppages and components breakdowns within a defined time interval, supports the decision maker in determining whether it is better to perform predictive maintenance or corrective interventions on the basis of probability measurements. Design/methodology/approach The formalism applied to pursue this aim is association rules mining since it allows to discover the existence of relationships between sub-plant stoppages and components breakdowns. Findings The application of the maintenance policy to a three-year case highlighted that the extracted rules depend on both the kind of stoppage and the timeframe considered, hence different maintenance strategies are suggested. Originality/value This paper demonstrates that data mining (DM) tools, like association rules (AR), can provide a valuable support to maintenance processes. In particular, the described policy can be generalized and applied both to other refineries and to other continuous production systems.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2018-12-20T03:26:14Z
      DOI: 10.1108/IJQRM-01-2018-0012
       
  • Manager perceptions of big data reliability in hotel revenue management
           decision making
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to investigate the perceptions that managers have of the value and reliability of using big data to make hotel revenue management and pricing decisions. Design/methodology/approach A three-stage iterative thematic analysis technique based on the approaches of Braun and Clarke (2006) and Nowell et al. (2017) and using different research instruments to collect and analyse qualitative data at each stage was used to develop an explanatory framework. Findings Whilst big data-driven automated revenue systems are technically capable of making pricing and inventory decisions without user input, the findings here show that the reality is that managers still interact with every stage of the revenue and pricing process from data collection to the implementation of price changes. They believe that their personal insights are as valid as big data in increasing the reliability of the decision-making process. This is driven primarily by a lack of trust on the behalf of managers in the ability of the big data systems to understand and interpret local market and customer dynamics. Practical implications The less a manager believes in the ability of those systems to interpret these data, the more they perceive gut instinct to increase the reliability of their decision making and the less they conduct an analysis of the statistical data provided by the systems. This provides a clear message that there appears to be a need for automated revenue systems to be flexible enough for managers to import the local data, information and knowledge that they believe leads to revenue growth. Originality/value There is currently little research explicitly investigating the role of big data in decision making within hotel revenue management and certainly even less focussing on decision making at property level and the perceptions of managers of the value of big data in increasing the reliability of revenue and pricing decision making.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2018-12-17T12:09:44Z
      DOI: 10.1108/IJQRM-02-2018-0056
       
  • Thai Airways: key influencing factors on customers’ word of mouth
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to evaluate and analyze the influence of service convenience, service quality and customer satisfaction on the formation of word of mouth in airline industry. Design/methodology/approach The sample included 400 passengers who had experienced THAI’S international flights. To test the study hypotheses, a research model was examined applying structural equation modeling. Findings The findings submit that, in addition to effects of service convenience, service quality and customer satisfaction on word of mouth, decision convenience has the most positive significant influence on word of mouth compared to service quality dimensions and customer satisfaction. Research limitations/implications The present research focuses on assessing the word of mouth level only for THAI; therefore, its findings may not be generalized for the other airlines. In addition, the target market of this study is the customers of THAI. Future researchers can select the markets of other airlines customers. Practical implications In airline companies, service convenience plays a central role on customer word of mouth. Therefore, airlines should concentrate on travelers’ convenience in the service procedure. They should plan the service to support the best convenience for travelers. Originality/value This investigation would help airlines to understand what makes customers more satisfied before, during and after using an airline service and to understand how this is related to the word of mouth.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2018-12-17T03:45:15Z
      DOI: 10.1108/IJQRM-02-2018-0024
       
 
 
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