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International Journal of Quality & Reliability Management
Number of Followers: 8  
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0265-671X
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  • Quality management challenges in a dynamic reality of mergers,
           acquisitions and global expansion
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to highlight the challenges facing the quality management system (QMS) of parent and subsidiary companies within the dynamics of multinational mergers, acquisitions and strategic partnerships, and to present guidelines for developing a global quality strategy. Design/methodology/approach The quality systems of 18 multinational companies at different stages of mergers and acquisitions (M&A) processes and different global expansion levels were studied in depth using observations, content analyses and interviews with CEOs and operational and quality managers in parent or subsidiary companies. Findings As part of the M&A process, not enough consideration is given to the functional aspects and challenges facing the QMS of subsidiaries, and to the integration of the subsidiary QMS into the corporate QMS. The findings highlight the strategic role of the parent company in creating a corporate QMS and developing a corresponding global quality strategy. Practical implications The classification of the challenges facing the parent and subsidiary QMS forms a diagnostic tool that supports a functional preparedness for integrating quality systems, while addressing their local needs, integrating them into the global activity of the system, and utilizing the growing integrative array of resources and capabilities to achieve global value. Originality/value While M&A is perceived as a strategic topic, it has direct impact on the QMS. This study outlines a necessary conjoining of quality management and strategy, which is the key to global quality management.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-06-18T11:53:19Z
      DOI: 10.1108/IJQRM-06-2018-0161
  • Application of Six Sigma DMAIC methodology to reduce the defects in a
           telecommunication cabinet door manufacturing process
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to apply the Six Sigma DMAIC methodology in order to reduce the rejections experienced in the manufacturing of the doors belonging to a telecommunication cabinet. Design/methodology/approach The process involved joining of sheet metal and hinge using welding operations with the help of a fixture. The methodology used is the structured DMAIC method in order to identify the root cause for the rejections and solve it. Findings The paper provides insights about the identification of the root cause for the defects and the solution to overcome it, and also the benefits that were obtained as a result of the application of the solution. Research limitations/implications This methodology has been applied to the variation observed in the dimensions of a particular component to be welded with a main part. This approach can be used to find such dimensional variations. Practical implications This study has been successfully carried out in a medium-scale industry which has total quality management in practice. Originality/value Six Sigma DMAIC was necessary for the identification and reduction of the defects which arose in the sheet metal and welding operations, and had to be resolved in order to increase the bottom-line.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-06-10T10:07:04Z
      DOI: 10.1108/IJQRM-12-2018-0344
  • Cultural diversity and operational performance: entrepreneurial
           orientation as a mediator
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to test the mediating role of entrepreneurial orientation in the nexus between cultural diversity (CD) and firm operational performance (OP). Design/methodology/approach The population of the current study is foreign industrial firms listed in the tax directorate of the Kurdistan region of Iraq (KRI). A stratified random sampling technique was applied to select 136 firms in KRI, with a response rate of 57 per cent. Smart-PLS was used to examine the hypothesised relationships in the proposed framework. Findings The results indicate that CD is significantly related to a firm’s OP. Entrepreneurial orientation (EO) is, in turn, significantly related to a firm’s OP. Furthermore, the results provide evidence that EO plays a mediating role in the nexus between CD and a firm’s OP. Originality/value The study highlights the importance of CD and EO in supporting a firm’s OP. In addition, the findings will provide scholars and managers a deeper understanding of the role of EO as a mediator through which CD enhances a firm’s OP.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-06-10T10:04:43Z
      DOI: 10.1108/IJQRM-10-2018-0262
  • Logistics performance collaboration strategy and information sharing with
           logistics capability as mediator variable (study in Gafeksi East Java
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to analyze the effect of collaboration, capability and information sharing (IS) on logistic performance, the effect of collaboration and IS on capabilities, the effect of collaboration on logistic performance through capabilities, the influence of IS on logistic performance through capabilities and the effect of logistics capabilities on logistics performance. Design/methodology/approach This study uses a quantitative approach and is included in explanatory research. This research uses cross section research design. The research populations are all companies incorporated in GAFEKSI (Joint Forwarder and Expedition Indonesia) of East Java. Sampling in this research is by using a purposive sample. The sample of this study amounted to 47 forwarder and expedition companies. Data analysis method used is partial least square. Findings Collaboration has a positive impact on capabilities (CAP); capability (LOC) positive impact on logistic performance; collaboration does not directly affect the logistics performance; and construct capabilities (LOC) is the mediation of IS in building business logistics performance. Increasing the intensity of IS has no direct contribution to increased flexibility, and collaboration is driven by partnership and network, whereas CT (trust) can be ignored, as it is not proven to make a dominant contribution to collaboration. Originality/value The novelty of this research is found in the strategic role of capabilities as the dominant latent variable in building business performance of logistic companies. This study finds dual mediation, where both mediations are expressed as full mediation, because the direct effect of mediator latent variables is significant (Little et al., 2010; Hair et al., 1995).
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-06-04T09:44:02Z
      DOI: 10.1108/IJQRM-11-2017-0246
  • Long-run dynamics between cost of quality and quality performance
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The dynamics of quality performance and quality cost are gaining renewed interest in quality management literature. Using large sample secondary data, the purpose of this paper is to build up empirical evidence for increasing quality performance in manufacturing in the long-run. The authors then examine whether it is possible to reduce internal and external failure cost over time without increasing prevention and appraisal expenditures in return. Finally, a scale effect in reducing quality cost is measured to clarify the long-run dynamics between quality cost and quality performance. Design/methodology/approach The authors conduct statistical analysis on a large sample secondary data set to reveal relationships between total cost of quality, its components and overall quality performance. Findings Significantly higher quality performance and lower quality cost are observed in the long-run. Quality costs grow less than half as fast as sales volume, pointing to a significant scale effect in quality cost reduction. Practical implications Businesses can use these implications for targeting failure costs and budgeting appraisal and prevention costs. Based on company-specific historical learning behavior through prevention and appraisal activities, an increasingly reliable prognosis of failure cost shall be possible. Originality/value For the first time, quality performance and cost dynamics are assessed using a secondary data set with more than 400 observations. A scale effect for quality cost reduction is measured. The results are of great importance to quality management practice and research.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-05-31T11:37:18Z
      DOI: 10.1108/IJQRM-05-2018-0118
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to formulate and validate a measurement model to evaluate the service quality of cultural centers. This study aims to expand the domain of service quality measurement models by extending the SERVQUAL model to an alternative measurement tool called the ARTQUAL model based on three different preferences and scenarios including concert halls, theater halls and art galleries. Design/methodology/approach The data were collected from 15 cultural centers. Structural equation modeling (SEM) was utilized in the current research to study the association between aesthetic environments and service quality. An exploratory factor analysis took place to formulate the fundamentals of the measurement model. The validation process is based on a hybrid framework integrating the covariance-based SEM along with the partial least square technique to present a robust validity of the ARTQUAL model. Ultimately, an extensive managerial analysis has been established to show the practicality of the ARTQUAL model. Findings This study provides empirical evidence that the ARTQUAL instrument is proven to be valid, reliable and appropriate to evaluate the service quality of cultural centers. Based on the real-world managerial analysis, the ARTQUAL model showed a significant practicality in quality evaluation of aesthetic environments. Research limitations/implications One of the most important limitations of quantitative studies, based on aesthetic features, is the cultural preferences. This limitation is due to the nature of cultural preferences and partialities applied in different countries based on the definition of quality involving aesthetic aspects such as age, sex and culture. Meanwhile, the findings of this study can guide the service management experts to better understand and improve customers’ perceptions and orientations of service quality in aesthetic environments. Originality/value This paper presents a novel service quality measurement model in order to evaluate the service quality of cultural centers. The originality of the current study is not merely limited to the suggestion of a new quality measurement model, a hybrid statistical validation framework has been provided as well. Therefore, this study provides valuable guidelines to both practitioners and academics to enhance the quality of service measurements in cultural centers.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-05-31T11:35:58Z
      DOI: 10.1108/IJQRM-01-2019-0004
  • Reliability engineering application to pipeline design
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to investigate the application of reliability engineering to oil and gas (O&G) pipeline systems with the aim of identifying means through which reliability engineering can be used to improve pipeline integrity, specifically with regard to man-made incidents (e.g. material/weld/equipment failure, corrosion, incorrect operation and excavation damages). Design/methodology/approach A literature review was carried out on the application of reliability tools to O&G pipeline systems and four case studies are presented as examples of how reliability engineering can help to improve pipeline integrity. The scope of the paper is narrowed to four stages of the pipeline life cycle; the decommissioning stage is not part of this research. A survey was also carried out using a questionnaire to check the level of application of reliability tools in the O&G industry. Findings Data from survey and literature show that a reliability-centred approach can be applied and will improve pipeline reliability where applied; however, there are several hindrances to the effective application of reliability tools, the current methods are time based and focus mainly on design against failure rather than design for reliability. Research limitations/implications The tools identified do not cover the decommissioning of the pipeline system. Research validation sample size can be broadened to include more pipeline stakeholders/professionals. Pipeline integrity management systems are proprietary information and permission is required from stakeholders to do a detailed practical study. Originality/value This paper proposes the minimum applied reliability tools for application during the design, operation and maintenance phases targeted at the O&G industry. Critically, this paper provides a case for an integrated approach to applying reliability and maintenance tools that are required to reduce pipeline failure incidents in the O&G industry.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-05-28T02:43:50Z
      DOI: 10.1108/IJQRM-09-2017-0197
  • A cost minimisation model for system reliability allocation
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to consider a nonlinear problem of minimizing the cost of providing reliable systems. The authors assume that the system consists of several components in series, and for each such component, the cost of the component increases exponentially with its reliability. Design/methodology/approach In order to solve this nonlinear optimization problem, the authors propose two approaches. The first approach is based on the concept of adjusting the reliability of a pair of components to minimize the cost of the system. The authors call this procedure as reliability adjustment routine (RAR). Proofs of optimality and convergence for the proposed model are also provided. The second approach solves the problem by using a Lagrangian multiplier. A procedure is developed to obtain the maximum step size to achieve the desired optimal solution in minimum iterations. Proposed approaches are efficient and give exact solutions. Findings Proposed methods enable a decision maker to allocate reliability to the components in series while minimizing the total cost of the system. The developed procedures are illustrated using a numerical example. Although an exponential relationship between the component cost and reliability is assumed, this can be extended to various other nonlinear distributions. Originality/value This cost optimization problem, subject to system component reliability values, assumes the near practical nonlinear pattern of cost vs reliability. Such problems are complex to solve. The authors provide a unique approach called RAR to solve such convoluted problems. The authors also provide an approach to solve such problems by using a Lagrangian multiplier method. Various proofs have been worked out to substantiate the work.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-05-28T02:39:50Z
      DOI: 10.1108/IJQRM-07-2018-0199
  • A systematic review of Lean in healthcare: a global prospective
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose Fostered by a rapid spread beyond the manufacturing sector, Lean philosophy for continuous improvement has been widely used in service organizations, primarily in the healthcare sector. However, there is a limited research on the motivating factors, challenges and benefits of implementing Lean in healthcare. Taking this as a valuable opportunity, the purpose of this paper is to present the key motivating factors, limitations or challenges of Lean deployment, benefits of Lean in healthcare and key gaps in the literature as an agenda for future research. Design/methodology/approach The authors used the secondary data from the literature (peer-reviewed journal articles) published between 2000 and 2016 to understand the state of the art. The systematic review identified 101 articles across 88 journals recognized by the Association of Business Schools ranking guide 2015. Findings The systematic review helped the authors to identify the evolution, current trends, research gaps and an agenda for future research for Lean in healthcare. A bouquet of motivating factors, challenges/limitations and benefits of Lean in healthcare are presented. Practical implications The implications of this work include directions for managers and healthcare professionals in healthcare organizations to embark on a focused Lean journey aligned with the strategic objectives. This work could serve as a valuable resource to both practitioners and researchers for learning, investigating and rightly adapting the Lean in the healthcare sector. Originality/value This study is perhaps one of the comprehensive systematic literature reviews covering an important agenda of Lean in Healthcare. All the text, figures and tables featured here are original work carried by five authors in collaboration (from three countries, namely, India, the USA and the UK).
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-05-28T02:35:08Z
      DOI: 10.1108/IJQRM-12-2018-0346
  • Lean Six Sigma in consumer banking – an empirical inquiry
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The evolution of Lean Six Sigma (LSS) within the operations management theory has enjoyed significant success in both manufacturing and services. Though the applicability of LSS is evident in the services sector through various publications, academic research on the use of LSS in the Banking and Financial Services (BFS) is limited, and hence deserves greater attention. The purpose of this paper is to illustrate the application of LSS in consumer banking in real-time setting. Design/methodology/approach A case study method is used to study the application of LSS in two consumer banks with stage 1 featuring identification of appropriate consumer banks where LSS projects could be undertaken, and suitable LSS readiness assessment was performed. In stage 2, LSS project opportunities were identified in the select banks through stakeholder engagement. Finally, in stage 3, LSS projects were executed for process improvements in a real-time setting. Findings The case studies provide evidence of the successful application of LSS in consumer banking and the associated multiple benefits. The extent of applicability and appropriate managerial implications in project management context are elaborated. An LSS project selection criterion is recommended as a part of the study. Further, the study explains five important managerial implications in BFS context, with an outlook for future research. Research limitations/implications Practitioner research shows that BFS organizations have changed their ways of working by adapting LSS over the last decade. However, the academic research concerning the applicability of LSS in BFS is apparently limited, and none of these are specific to “consumer banking.” This study serves as a strong foundation for future research in this area, which is at its nascence and upcoming in the researchers’ community. However, strong generalizations should not be made as this study is limited to two cases. Practical implications Since the cases are executed in the real-time setup of consumer banks, the paper has several practical implications. First, the paper confirms the applicability of LSS in consumer banking and concludes that LSS project management is merely a sub-set of LSS deployment. Second, LSS needs to be understood using a “systems thinking” perspective in order to move away from a narrow project-only approach. An LSS project selection criterion is recommended as a part of the study, which could serve as a managerial resource. Other managerial implications include effective management of stakeholders and change leadership as essential elements of LSS project management in banks. Originality/value LSS has been successful in the past few decades in the manufacturing and service sectors. However, its application in BFS is limited. This study illustrates the applicability of LSS in consumer banks, which deals with high volumes of data, customer bases and associated financial transactions.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-05-28T02:30:40Z
      DOI: 10.1108/IJQRM-01-2019-0012
  • A grey-based DEMATEL model for building collaborative resilience in supply
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to explore the phenomenon of collaborative resilience through in-depth case study research in India. This study endeavours to identify and model the critical success factors of collaborative resilience. Design/methodology/approach Eight critical success factors of collaborative resilience were identified through literature search. Modelling and analysis of these factors was conducted using grey-based DEMATEL method. Data were collected from supply chain experts in Indian industries. Findings It was found that organizational factors like top management commitment and resilience system design exhibit highest causality on the entire system. Also, co-adaptive transformation and resilience goal alignment are most important for managers. Overall, this research provides a guideline and mechanism to build collaborative resilience in supply chains. Practical implications Through the identification of eight critical success factors, this research has related and grounded the concept of collaborative resilience into pre-exiting supply chain practices and concepts. Through rigorous quantitative modelling and analysis of these factors, this research provides a guideline to managers for building collaborative resilience in supply chains. Originality/value To the best of the authors’ knowledge, this is the first study that has proposed the concept of collaborative resilience in supply chain and has conducted empirical research on the phenomenon in India.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-05-09T11:50:49Z
      DOI: 10.1108/IJQRM-03-2018-0059
  • Developing a two-phase QFD for improving FMEA: an integrative approach
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to propose an integrative approach for improving failure modes and effects analysis (FMEA). Design/methodology/approach An extensive literature review on FMEA has been performed. Then, an integrative approach has been proposed based on literature review. The proposed approach is an integration of FMEA and quality function deployment (QFD). The proposed approach includes a two-phase QFD. In the first phase, failure modes are prioritized based on failure effects and in the second phase, failure causes are prioritized based on failure modes. The proposed approach has been examined in a case example at the blast furnace operation of a steel-manufacturing company. Findings Results of the case example indicated that stove shell crack in hot blast blower, pump failure in cooling water supply pump and bleeder valves failed to operate are the first three important failure modes. In addition, fire and explosion are the most important failure effects. Also, improper maintenance, over pressure and excess temperature are the most important failure causes. Findings also indicated that the proposed approach with the consideration of interrelationships among failure effects, failure mode and failure causes can influence and adjust risk priority number (RPN) in FMEA. Research limitations/implications As manufacturing departments are mostly dealing with failure effects and modes of machinery and maintenance departments are mostly dealing with causes of failures, the proposed model can support better coordination and integration between the two departments. Such support seems to be more important in firms with continuous production lines wherein line interruption influences response to customers more seriously. A wide range of future study opportunities indicates the attractiveness and contribution of the subject to the knowledge of FMEA. Originality/value Although the literature indicates that in most of studies the outcomes of QFD were entered into FMEA and in some studies the RPN of FMEA was entered into QFD as importance rating, the proposed approach is a true type of the so-called “integration of FMEA and QFD” because the three main elements of FMEA formed the structure of QFD. In other words, the proposed approach can be considered as an innovation in the FMEA structure, not as a data provider prior to it or a data receiver after it.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-05-09T11:40:20Z
      DOI: 10.1108/IJQRM-07-2018-0195
  • Six Sigma metrics based on lognormal distribution for life tests
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to propose an approach for studying the Six Sigma metrics when the underlying distribution is lognormal. Design/methodology/approach The Six Sigma metrics are commonly available for normal processes that are run in the long run. However, there are situations in reliability studies where non-normal distributions are more appropriate for life tests. In this paper, Six Sigma metrics are obtained for lognormal distribution. Findings In this paper, unlike the normal process, for lognormal distribution, there are unequal tail probabilities. Hence, the sigma levels are not the same for left-tail and right-tail defects per million opportunities (DPMO). Also, in life tests, while left-tail probability is related to DPMO, the right tail is considered as extremely good PMO. This aspect is introduced and based on which the sigma levels are determined for different parameter settings and left- and right-tail probability combinations. Examples are given to illustrate the proposed approach. Originality/value Though Six Sigma metrics have been developed based on a normality assumption, there have been no studies for determining the Six Sigma metrics for non-normal processes, particularly for life test distributions in reliability studies. The Six Sigma metrics developed here for lognormal distribution is new to the practitioners, and this will motivate the researchers to do more work in this field of research.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-05-09T11:39:36Z
      DOI: 10.1108/IJQRM-05-2018-0135
  • Reworks causes and related costs in construction: case of Parand mass
           housing project in Iran
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to identify the main reworks and their causes in a case study of the ongoing mass housing project in Iran. Using the real data captured from the project, the most important causes for reworks have been computed and prioritized. Design/methodology/approach More than 900 non-conformance forms filled in the construction site have been used to categorize reworks. Then, the frequency and cost of each rework group in the project have been estimated. Finally, using these data, the primary classification and sorting of the main causes of reworks have been specified. Findings Results show “Poor site supervision and inspection” with 24 percent of costs had the most impact and “unclear project management process” with about 6 percent of costs had the least impact on the formation of non-conformances. “Cost of each incidence” (COI) ranged from 0.67 for “The need to categorize the complicated operations” to 1.86 for “Unclear project management process.” Research limitations/implications The causes of rework which are not in contractor’s hand (like change orders from the client) have not been considered in this study. Originality/value Although some works have been done in rework causes, the key elements and causes of reworks in mass housing projects in developing countries have not been yet fully specified through the real data. Knowing the root causes of reworks can help project managers to remove them and reduce reworks costs in future projects. COI which is defined here for the first time and computed in a relative concept could be a good criterion to compare rework causes between two or more similar projects.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-05-08T02:20:48Z
      DOI: 10.1108/IJQRM-06-2018-0155
  • Employee work adjustment scale for small and medium-sized enterprises in
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose Employee work adjustment (EWA) represents the ability of individuals to adjust effectively to working conditions, supervisors, the environment and their peers. To deal with work adjustment in different environments, companies need to both understand and continually assess their employees. The purpose of this paper is to develop an instrument to measure EWA for small- and medium-sized enterprises (SMEs) in Thailand. Design/methodology/approach The study was conducted in three stages to develop a measurement scale for EWA. First, 18 questions were developed as a questionnaire based on concepts and theories of EWA and validated using exploratory factor analysis (EFA) into four dimensions such as work, supervisor, environment and peer adjustments. Then, a survey was conducted for 360 new employees in SMEs. Finally, confirmatory factor analysis (CFA) and convergent validity were tested along the four adjustment dimensions. Findings This research extended and broadened the EWA concept to provide theoretical support for the adjustment of intelligence research. Four dimensions were developed to measure EWA including aspects of work, supervisor, environment and peer. Research limitations/implications The EWA model was examined using EFA and CFA only. Questionnaire results suggested that concrete constructs were stronger because of single-source, self-assessed data collection as the sample included only employees of SMEs in high-growth sectors of Thailand. EWA findings exhibited a good fit but results require further future refinement and validation using a larger sample size and sampling area. Practical implications The EWA questionnaire has practical use regarding management behaviour and can assist companies and practitioners to better understand the required adjustments for new employees at start-up. This knowledge will help managers to encourage and support newcomers to work better and deliver effective results. Managers and practitioners can develop and hone work adjustment practices for new recruits according to the four dimensions proposed here. Originality/value The validity of this EWA questionnaire will facilitate the future study on boundaries with EWA measurements spanning SMEs contexts. Empirical research results verified that EWA assessment offered new perspectives to explore vital individual work adjustments that are necessary for new recruits to succeed. This instrumental support will help researchers to effectively understand EWA and explore its potential in future studies.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-05-02T09:15:05Z
      DOI: 10.1108/IJQRM-07-2018-0178
  • Modeling Deming’s quality principles to improve performance using
           interpretive structural modeling and MICMAC analysis
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to study the 14 principles of Edwards Deming and create significant relationships between them. No research has been reported on the implementation of Total Quality Management (TQM) using Deming’s 14 principles. To fill this gap, Interpretive Structural Modeling (ISM) and MICMAC analysis have been developed to understand mutual interactions among variables and find both the dependence and driving power of these variables. Design/methodology/approach The research paper discusses a blend of practical applications and introduces a theoretical framework. An ISM-based methodology is used to study and examine interactions between identified variables, while MICMAC analysis is used to identify the dependence and driving power. Findings This research utilizes Deming’s 14 quality principles, with experts from academia and industry consulted to identify contextual relationships among variables. The result shows that the stated principles “take action to accomplish the transformation,” “institute training,” “encourage education to employees” and “institute leadership” are strategic requirements, while “drive out fear,” “break down barrier between staff areas” and “eliminate numerical quotas” are tactical requirements. “Adopt the new philosophy,” “create constancy in improvement of product and service” and “cease dependence on mass inspections” are operational requirements for TQM applications. Originality/value An ISM-based quality framework, dependence power and driving power of variables using MICMAC analysis have been recommended to the service and manufacturing industry as a new focus area in the implementation of TQM.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-04-26T07:58:16Z
      DOI: 10.1108/IJQRM-07-2018-0204
  • An integrated Bayesian–Markovian framework for ascertaining cost of
           executing quality improvement programs in manufacturing industry
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose Typically, the budgetary requirements for executing a supplier’s process quality improvement program are often done in unstructured ways in that quality improvement managers purely use their previous experiences and pertinent historical information. In this backdrop, the purpose of this paper is to ascertain the expected cost of carrying out suppliers’ process quality improvement programs that are driven by original equipment manufacturers (OEMs). Design/methodology/approach Using inputs from experts who had prior experience executing suppliers’ quality improvement programs and employing the Bayesian theory, transition probabilities to various quality levels from an initial quality level are ascertained. Thereafter, the Markov chain concept enables the authors to determine steady-state probabilities. These steady-state probabilities in conjunction with quality level cost coefficients yield the expected cost of quality improvement programs. Findings The novel method devised in this research is a key contribution of the work. Furthermore, various implications related to experts’ inputs, dynamics related to Markov chain, etc., are discussed. The method is illustrated using a real life of automotive industry in India. Originality/value The research contributes to the extant literature in that a new method of determining the expected cost of quality improvement is proposed. Furthermore, the method would be of value to OEMs and suppliers wherein the quality levels at a given time are the function of quality levels in preceding period(s).
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-04-03T02:06:53Z
      DOI: 10.1108/IJQRM-10-2018-0280
  • TQM practices and its performance effects – an integrated model
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose Total quality management practices have been embraced by many quality-oriented firms around the world in order to improve performance in terms of quality, productivity, customer satisfaction and profitability. The purpose of this paper is to investigate the direct and indirect effects of TQM practices on various performance indicators specifically in the Indian manufacturing context. This paper focuses on developing an integrated model encompassing significant structural relations showing the linkage between TQM practices and multiple performance indicators – quality performance, customer satisfaction level, operating performance, employee performance, innovation performance, society results and financial performance. Apart from analyzing the direct relationship between constructs, the main purpose of this work is also to identify all the possible mediation effects of performance indicators on others using structural equation modeling (SEM). Design/methodology/approach An in-depth literature review was conducted to identify the key practices for the successful implementation of TQM in an organization as well as to explore TQM-performance effects. As a result, four TQM practices and seven performance indicators were identified. The data were collected from 260 Indian manufacturing organizations. After confirming the reliability and validity using exploratory and confirmatory factor analysis, the proposed hypotheses were tested using SEM. Findings Through testing the proposed hypothesized structural model, the direct and indirect effects of TQM practices have been examined. Moreover, this work developed an integrated model showing the interrelationships between TQM practices and performance indicators identified. The findings gave an insight that the effective implementation of TQM practices assists in reaping benefits in the every facet of an organization. By implementing these practices effectively, managers can expect to realize improvement in all these performance areas. Research limitations/implications This study is subject to certain limitations. Even if all variables were found to be reliable, valid and satisfactory non-response bias test results, the remote possibility of bias in the data might not be fully ruled out. There is a probability of occurrence of common method variance and common method bias, since the data for both dependent and independent variables were collected from the same respondents in the organization. Additionally data on performance indicators were based on the respondent’s assessment and awareness only. The mediating relationship between individual TQM practice and performance indicators can be investigated in future studies. Since society results are a necessity in future, the direct and indirect practices focusing toward this can be explored. In addition, there is a research scope to identify the moderating effect of contextual factors such as degree of TQM implementation, scope of operation and type of organization. Practical implications The findings of the research offer some potentially valuable insights into the relevance of TQM practices and its strong linkage on various performance indicators, through which the overall organization performance can be enhanced. By implementing these practices effectively, managers can expect to realize improvement in all these performance areas. Hence, the managers can adopt this approach to assess their organization’s level in the quality path and as a guideline in implementing TQM practices. They can also measure the impacts of TQM practices on multiple performance measures in order to evaluate their TQM initiatives. Especially the deployment of quality culture is a requisite to excel in the every facet of performance. The positive relationship between TQM practices and various performance indicators can motivate the managers to allocate resources in time, effort and capital for TQM implementation in pursuing quality, leading to customer retention and competitiveness. The findings of the study strongly suggest the need for the holistic implementation of TQM practices for the survival of the organization. Originality/value While there is a considerable volume of researches carried out to investigate the linkage between TQM and organization’s performance across the globe, still little is evidenced regarding the mediating effect of performance indicators on others, especially in the Indian manufacturing context. The present paper attempts to extend and add knowledge to this line of research and to bridge the gap and provide sufficient empirical evidence specifically in the Indian scenario. Thereby helps the organization to follow a guideline to improve the overall performance.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-03-22T09:22:03Z
      DOI: 10.1108/IJQRM-10-2018-0266
  • Critical factors of effective implementation of IT-enabled ISO-9000 QMS
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose Although aligning information technology (IT) with quality management (QM) is a popular concept, it has not yet been properly, theoretically and empirically grounded. Therefore, the purpose of this paper is to identify critical factors for the effective implementation (CFEI) of IT-enabled ISO-9000 quality management system (QMS). Design/methodology/approach The primary field data were collected through a questionnaire survey of 381 small and medium enterprises (SMEs) in India. Exploratory factor analysis and confirmatory factor analysis were applied to check the reliability and validity of the data collected. First, using pattern matrix, 48 items (extracted from relevant literature) representing CFEI of IT-enabled ISO-9000 QMS were grouped into six latent variables (eigenvalue⩾1). Second, to test the relationship among CFEI, firm performance and competitive positioning, six hypotheses were formulated and tested using structural equation modelling (SEM) procedure. Findings The study results found that identified CFEI of IT-enabled ISO-9000 QMS, i.e. “strategic attributes” (β=0.517), “tactical attributes” (β=0.323), “operational attributes” (β=0.281), “organisational infrastructure and processes” (β=0.231), “system knowledge” (β=0.194), “alignment of system with firm’s strategy” (β=0.230), have a significant effect (p
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-03-22T09:18:02Z
      DOI: 10.1108/IJQRM-09-2018-0253
  • A hybrid decision making framework for modified failure mode effects and
           criticality analysis
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose Assessing the severity of failure modes of critical industrial machinery is often considered as an onerous task and sometimes misinterpreted by shop-floor engineer/maintenance personnel. The purpose of this paper is to develop an improved FMECA method for prioritizing the failure modes as per their risk levels and validating the same through a real case study of induction motors used in a process plant. Design/methodology/approach This paper presents a novel hybrid multi-criteria decision-making (MCDM) approach to prioritize different failure modes according to their risk levels by combining analytical hierarchy process (AHP) with a newly introduced MCDM approach, election based on relative value distance (ERVD). AHP is incorporated in the proposed approach to determine the criteria weights, evaluated in linguistic terms by industrial expert. Furthermore, ERVD, which is based on the concept of prospect theory of human cognitive process, is applied to rank the potential failure modes. Findings It is found that the proposed FMECA approach provides better results in accordance with the actual industrial scenario and helps in effectively prioritizing the failure modes. A comparison is also made to highlight the differences of results between the proposed approach with TOPSIS and conventional FMECA. Research limitations/implications This research paper proposes an improved FMECA method and, thus, provides a deep insight to maintenance managers for effectively prioritizing the failure modes. The correct prioritization of failure modes will help in effective maintenance planning, thus reducing the downtime and improving profit to the organization. Practical implications A real case of process plant induction motor has been introduced in the research paper to show the applicability of this decision-making approach, and the approach is found to be suitable in correct prioritization of the failure modes. Originality/value Severity has been decoupled into various factors affecting it, to make it more relevant as per actual industrial scenario. Then, a novel modified FMECA has been developed using a hybrid MCDM approach (AHP and ERVD). This hybrid method, as well as its application in FMECA, has not been developed by any previous researcher. Moreover, the same has been thoroughly explained by considering a real case of process plant induction motors and validated with cross-functional experts.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-03-22T09:16:22Z
      DOI: 10.1108/IJQRM-08-2018-0213
  • Joint optimisation of operation and maintenance policies in an urban
           ropeway transport systems context
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to propose a stochastic optimisation model for integrating service and maintenance policies in order to solve the queuing problem and the cost of maintenance activities for public transport services, with a particular focus on urban ropeway system. Design/methodology/approach The authors adopt the following approaches: a discrete-event model that uses a set of interrelated queues for the formulation of the service problem using a cost-based expression; and a maintenance model consisting of preventive and corrective maintenance actions, which considers two different maintenance policies (periodic block-type and age-based). Findings The work shows that neither periodic block-type maintenance nor an age-based maintenance is necessarily the best maintenance strategy over a long system lifecycle; the optimal strategy must consider both policies. Practical implications The maintenance policies are then evaluated for their impact on the service and operation of the transport system. The authors conclude by applying the proposed optimisation model using an example concerning ropeway systems. Originality/value This is the first study to simultaneously consider maintenance policy and operational policy in an urban aerial ropeway system, taking up the problem of queuing with particular attention to the unique requirements public transport services.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-03-22T09:14:06Z
      DOI: 10.1108/IJQRM-10-2018-0292
  • Just in time elements extraction and prioritization for health care unit
           using decision making approach
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to identify and prioritize prime just-in-time (JIT) elements in Indian healthcare sector based on the degree of importance and difficulty. This facilitates the implementation of JIT philosophy in healthcare services without any failure as well as provides quality services to patients at low cost. Design/methodology/approach JIT elements related to health care services have been sorted out from comprehensive literature survey. Moreover, important and difficult JIT elements have been ranked on the basis of score obtained by the quantitative method using statistical tools. Furthermore, validation and prioritization of important JIT elements based on the degree of importance have been computed using the analytical hierarchy process (AHP) and best worst method (BWM). Findings The present work provides important, difficult and easy to implement JIT elements in healthcare services. Besides, this work justifies the application of decision-making tool (AHP, BWM) for the prioritization of JIT elements in the health care sector. Practical implications The present study develops a deep understanding of JIT concepts in health care services. Furthermore, it motivates professionals for implementing JIT in healthcare services with healthy situation for both hospital and supplier. Social implications The present work is beneficial for all the dimensions of sustainable development (social, economic and environmental). The implementation of JIT with a proper understanding of its elements results in an improved patient care, lesser cost of healthcare delivery, time and better management of associated medical items. This work also facilitates the proper management of inventory items together with the reduction in various Lean wastes with the proper implementation of JIT in healthcare. The reduction in various associated wastes leads to cleaner surrounding and lesser environmental degradation. Originality/value This paper outlines the need of a robust JIT approach in the healthcare sector for quality services. The efficacy of JIT, AHP and BWM has been explored to find out critical elements for successful JIT implementation in health care.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-03-22T09:11:01Z
      DOI: 10.1108/IJQRM-08-2018-0208
  • Performance modeling and optimization for complex repairable system of
           paint manufacturing unit using a hybrid BFO-PSO algorithm
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to optimize the performance for complex repairable system of paint manufacturing unit using a new hybrid bacterial foraging and particle swarm optimization (BFO-PSO) evolutionary algorithm. For this, a performance model is developed with an objective to analyze the system availability. Design/methodology/approach In this paper, a Markov process-based performance model is put forward for system availability estimation. The differential equations associated with the performance model are developed assuming that the failure and repair rate parameters of each sub-system are constant and follow the exponential distribution. The long-run availability expression for the system has been derived using normalizing condition. This mathematical framework is utilized for developing an optimization model in MATLAB 15 and solved through BFO-PSO and basic particle swarm optimization (PSO) evolutionary algorithms coded in the light of applicability. In this analysis, the optimal input parameters are determined for better system performance. Findings In the present study, the sensitivity analysis for various sub-systems is carried out in a more consistent manner in terms of the effect on system availability. The optimal failure and repair rate parameters are obtained by solving the performance optimization model through the proposed hybrid BFO-PSO algorithm and hence improved system availability. Further, the results obtained through the proposed evolutionary algorithm are compared with the PSO findings in order to verify the solution. It can be clearly observed from the obtained results that the hybrid BFO-PSO algorithm modifies the solution more precisely and consistently. Research limitations/implications There is no limitation for implementation of proposed methodology in complex systems, and it can, therefore, be used to analyze the behavior of the other repairable systems in higher sensitivity zone. Originality/value The performance model of the paint manufacturing system is formulated by utilizing the available uncertain data of the used manufacturing unit. Using these data information, which affects the performance of the system are parameterized in the input failure and repair rate parameters for each sub-system. Further, these parameters are varied to find the sensitivity of a sub-system for system availability among the various sub-systems in order to predict the repair priorities for different sub-systems. The findings of the present study show their correspondence with the system experience and highlight the various availability measures for the system analyst in maintenance planning.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-03-22T09:08:01Z
      DOI: 10.1108/IJQRM-02-2018-0041
  • Managing risk for auto warranties
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is threefold: first, to analyse the existing work of warranty risk management (WaRM); second, to develop a generic WaRM framework; and third, to design a generic taxonomy for warranty hazards from a warranty chain perspective. Design/methodology/approach To understand the top warranty hazards, the authors designed a questionnaire, received 40 responses from the warranty decision makers (WDM) in the automotive industry in the UK and then analysed the responses. Findings The assembly process capability at suppliers is the top contributor to warranty incidents from the suppliers’ and original equipment manufacturers’ (OEMs’) viewpoints. The human error at different stages of the product lifecycle contributes to the occurrence of warranty incidents. The collaboration among parties, particularly, the accessibility to warranty-related data between parties (i.e. suppliers, OEM and dealers), is limited. Customers’ fraud contributes more to warranty costs than warranty services providers’ fraud. The top contributors to customer dissatisfaction relating to warranty are the warranty service time and service quality. Research limitations/implications The questionnaires were used to collect data in the UK, which implies the research outcomes of this paper may only reflect the UK area. Practical implications The WaRM framework and taxonomy proposed in this paper provide WDM with a holistic view to identifying the top contributors to warranty incidents. With them, the decision makers will be able to allocate the required fund and efforts more effectively. Originality/value This paper contributes to the literature by providing the first work of systematically analysing the top contributors to warranty incidents and costs and by providing a WaRM framework.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-03-22T09:03:31Z
      DOI: 10.1108/IJQRM-08-2018-0221
  • Understanding TQM implementation barriers involving construction companies
           in a difficult environment
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is to identify the factors that affect TQM implementation in construction companies and it suggests solutions for TQM implementation in a difficult environment. Design/methodology/approach Studies were carried out at six large construction companies who ply their trade in Southern Africa and in-depth investigations were conducted to assess TQM implementation practices and associated TQM barriers. Interviews were conducted on directors and key personnel that play important roles in TQM implementation in their respective organisations. The empirical study also utilised a number of organisational documents which added rigour to the findings. Findings This study identified three core categories and ten main barriers affecting TQM implementation in Southern Africa construction companies. The core categories are motivation, infrastructure and penchants and tendencies while the factors are lack of quality support, poor TQM knowledge and TQM awareness, poor information sharing, temporary workers, overdependence on contract document, poor data collection measurement, undefined TQM roles and responsibilities, award to lowest bidder tendency, poor business environment and corruption. Research limitations/implications The study was conducted based on companies plying their trade in Southern Africa and mostly around Malawi, Zambia and Mozambique. It does not study companies in Namibia, Zimbabwe, Angola, South Africa and Botswana. Practical implications TQM cannot be exported wholly from another region to a new setting without taking into consideration the local factors associated with that setting. For successful TQM implementation in construction in Southern Africa, characteristics of this region have to be known. This study illuminates a number of TQM implementation barriers associated with construction especially applied to this difficult environment. Application of this knowledge would enhance TQM and heighten competitive advantage initiatives. The proportions highlighted in this study therefore help build up the TQM implementation awareness. Social implications At society level, the findings of this study indicate societal problems such as corruption and business environment which require wide level approaches to deal with these barriers. In addition, if TQM applied in road construction projects, the quality of the roads will be improved, this in turn will have direct impact on quality of life in the society, better roads means easier access to hospitals, schools and public places, better transport and movements of goods and services, etc. It can also save money for the country in long run and economic benefits to the society. Originality/value The factors identified in this study are based on current TQM implementation practices at established construction companies in Southern Africa. They provide a practical basis for guiding TQM in construction companies operating in difficult environments.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-03-22T09:01:02Z
      DOI: 10.1108/IJQRM-05-2017-0096
  • Acceptance sampling plans based on truncated life tests for Rama
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose Lifetime data are used in many different applied sciences, like biomedicine, engineering, insurance and finance and others. The purpose of this paper is to develop a new acceptance sampling plans for Rama distribution when the mean lifetime test is truncated at a pre-determined time. The minimum sample sizes required to assert the specified life mean is obtained for a given customer’s risk. The operating characteristic function values of the sampling plans and producer’s risk are calculated. Design/methodology/approach The results are illustrated using numerical examples and a real data set is considered to illustrate the performance of the suggested acceptance sampling plans and how it can be used for the industry applications. Findings This paper shows a new acceptance sampling plans based on Rama distribution in the particular case when the mean life time test is truncated. Originality/value The results calculated in this paper demonstrate the differences between OC values for different distributions taken into account. In particular, OC values of Rama distribution are found to be less than the proposed distribution counterparts.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-03-14T11:58:59Z
      DOI: 10.1108/IJQRM-04-2018-0107
  • Experimental design and analysis of matching design
    • Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose This study considers the five factors of a car rotation system: angle (F1), arm length (F2), toe in and out (F3), width (F4) and length (F5). The purpose of this paper is to fine tune the design so it produces the smoothest response to various rotation angles. Design/methodology/approach In the case of Ackerman’s principle, the response surface methodology (RSM) was used to analyze data when encountering different quality characteristics at various rotation angles. Findings In this study, RSM was used to obtain the best factor and the best reaction value for the five factors of a car rotation system. Practical implications In this study, the four-wheel steering of a car is taken as an example. When the current wheel is turned, the intersection of the left and right wheels of the front axle falls on the extension line of the rear wheel. In this case, the steering will be the smoothest. In this example, we selected angle (F1), arm length (F2), toe in and out (F3), width (F4) and length (F5) as experimental factors, hoping to satisfy the Ackerman principle. Social implications Traditionally, when dealing with four-wheel steering problems, solutions may be based on past experience or on new information used to formulate R&D plans. In this study, the combination of statistical factors and optimization is used to find the optimal combination of factors and the relationship between factors. Originality/value In the past, most literature relied on kinematics to study the car rotation system due to a lack of experimental design and analysis concepts. However, this study aims to achieve the above goals in finding the solution, which can be used to predict reaction values.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-03-13T11:44:48Z
      DOI: 10.1108/IJQRM-07-2018-0200
  • Supply chain management and organizational performance: the resonant
    • 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
  • Synergetic success factors of total quality management (TQM) and supply
           chain management (SCM)
    • First page: 842
      Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose The purpose of this paper is twofold: first, to present a set of critical factors for total quality management (TQM) and supply chain management (SCM) practices through an extensive literature review; and, second, to identify the relationships among them by comparing the identified TQM and SCM practices in order to explore the concept of supply chain quality management (SCQM). Design/methodology/approach To meet the goals of this work, a review of published quality research papers was carried out. For this, the authors identified papers on TQM and SCM practices and observed how these practices improve the business performance of organizations. Further, on the basis of identified practices, a conceptual model of SCQM was developed. Findings The results presented a set of six critical factors each for TQM and SCM practices. Further, it was found that management support and commitment, customer focus, information and supplier partnership are the most common practices found in both TQM and SCM practices. The integration of TQM and SCM (SCQM) throughout the supply chain has the strongest impact on the organizational performance. Research limitations/implications The study used data from various research papers of reputed journals which considered the study of India’s manufacturing industry as well as other countries, which may not provide a clear picture. However, this can be overcome by applying the findings of this paper to collect data from Indian manufacturing industry in future studies. Practical implications Indian manufacturing industry can improve its competitive image through the synergy of TQM and SCM. The result of this paper will help in providing a greater understanding of identified TQM and SCM practices that will lead to the successful implementation of TQM and SCM strategies to enhance business performance in terms of the improved levels of customer service. Originality/value Much of the attention is given on TQM and SCM practices, and very few studies have been undertaken to integrate TQM and SCM practices. But as far as the authors know, there is no study undertaken to integrate TQM and SCM practices in India for the manufacturing class. Therefore, this study compares TQM and SCM practices and considers their integration and can be thus treated as filling a gap in the extant literature. Therefore, the findings of this review paper will contribute in future research.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-02-25T12:28:19Z
      DOI: 10.1108/IJQRM-11-2017-0228
  • Total Quality Management practices and work-related outcomes
    • First page: 864
      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
  • Acceptance X-bar chart considering the sample distribution of capability
           indices, [math] and [math]
    • First page: 875
      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
  • The effect of transformer parameters on reliability assessment with the
           help of health index
    • First page: 895
      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
  • Lean thinking for education: development and validation of an instrument
    • First page: 917
      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
  • Does IS0 9001 quality management system support product innovation' An
           analysis from the sociotechnical systems theory
    • First page: 951
      Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose Building on the sociotechnical systems theory (STS), the purpose of this paper is to investigate the direct impacts of the social and technical QMs (ISO 9001) practices on both incremental and radical product innovation and the direct relationships relaying QMs (ISO 9001) as a sociotechnical system with incremental and radical product innovation. Design/methodology/approach The paper opted for a survey instrument to collect quantitative data from 82 Moroccan certified ISO 9001 firm. A partial least squares structural equation modeling (PLS-SEM) was used to test the research hypotheses. Findings Results show that the social and technical QMs (ISO 9001) practices do not have a significant relationship with incremental and radical product innovation when they are taken in isolation. However, when ranged together to constitute a whole sociotechnical system of QMs (ISO 9001), QMs (ISO 9001) prove to have a strong positive and significant impact on incremental product innovation and a weak positive and significant impact on radical product innovation. Research limitations/implications Because of the small sample size that might weaken the significance of the results and the use of cross-sectional data, this research may lack a large statistical generalizability vis-à-vis the analytical generalization. Practical implications The results provide useful implications for managers, suggesting that in order to develop their product innovation, they must ensure that both QMs (ISO 9001) social and technical practices achieve a high level of integration without allowing some quality practices to take over. Originality/value Based on the STS, this study is the first to focus primarily on the role of the multi-dimensional structure of QMs (ISO 9001), i.e. social and technical practices, in incremental and radical product innovation.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-02-25T02:26:47Z
      DOI: 10.1108/IJQRM-09-2017-0174
  • Impacts of Lean Six Sigma on improving a higher education system: a case
    • First page: 983
      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
  • Testing for detection of crack in rotor using vibration analysis: an
           experimental approach
    • First page: 999
      Abstract: International Journal of Quality & Reliability Management, Ahead of Print.
      Purpose Many incidents of rotor failures are reported due to the development and propagation of the crack. Condition monitoring is adopted for the identification of symptoms of the crack at very early stage in the rotating machinery. Identification requires a reliable and accurate vibration analysis technique for achieving the objective of the study. The purpose of this paper is to detect the crack in the rotating machinery by measuring vibration parameters at different measurement locations. Design/methodology/approach Two different types of cracks were simulated in these experiments. Experiments were conducted using healthy shaft, crack simulated shaft and glued shaft with and without added unbalance to observe the changes in vibration pattern, magnitude and phase. Deviation in vibration response allows the identification of crack and its location. Initial data were acquired in the form of time waveform. Run-up and coast-down measurements were taken to find the critical speed. The wavelet packet energy analysis technique was used to get better localization in time and frequency zone. Findings The presence of crack changes the dynamic behavior of the rotor. 1× and 2× harmonic components for steady-state test and critical speed for transient test are important parameters in condition monitoring to detect the crack. To separate the 1× and 2× harmonic component in the different wavelet packets, original signal is decomposed in nine levels. Wavelet packet energy analysis is carried out to find the intensity of the signal due to simulated crack. Originality/value Original signals obtained from the experiment test set up may contain noise component and dominant frequency components other than the crack. Wavelet packets contain the crack-related information that are identified and separated in this study. This technique develops the condition monitoring procedure more specific about the type of the fault and accurate due to the separation of specific fault features in different wavelet packets. From the experiment end results, it is found that there is significant rise in a 2× energy component due to crack in the shaft. The intensity of a 1× energy component depends upon the shaft crack and unbalance orientation angle.
      Citation: International Journal of Quality & Reliability Management
      PubDate: 2019-04-10T12:48:03Z
      DOI: 10.1108/IJQRM-06-2017-0107
  • The relationships among transformational leadership, sustainable
           leadership, lean manufacturing and sustainability performance in Thai SMEs
           manufacturing industry
    • First page: 1014
      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
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
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Fax: +00 44 (0)131 4513327
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