Subjects -> BUSINESS AND ECONOMICS (Total: 3570 journals)
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    - ECONOMIC SYSTEMS, THEORIES AND HISTORY (235 journals)
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PRODUCTION OF GOODS AND SERVICES (143 journals)                     

Showing 1 - 137 of 137 Journals sorted alphabetically
Asia Pacific Journal of Marketing and Logistics     Hybrid Journal   (Followers: 8)
Asian Journal of Marketing     Open Access   (Followers: 5)
Australasian Marketing Journal (AMJ)     Hybrid Journal   (Followers: 4)
BMC Health Services Research     Open Access   (Followers: 22)
Capital Markets Law Journal     Hybrid Journal   (Followers: 4)
Cleaner Environmental Systems     Open Access  
Cleaner Production Letters     Hybrid Journal  
Cleaner Waste Systems     Open Access   (Followers: 2)
Consumption Markets & Culture     Hybrid Journal   (Followers: 6)
Customer Needs and Solutions     Hybrid Journal   (Followers: 4)
Direct Marketing An International Journal     Hybrid Journal   (Followers: 4)
Disaster Prevention and Management     Hybrid Journal   (Followers: 30)
Economic & Labour Market Review     Hybrid Journal   (Followers: 13)
Electronic Markets     Hybrid Journal   (Followers: 6)
Emerging Markets Review     Hybrid Journal   (Followers: 10)
European Journal of Marketing     Hybrid Journal   (Followers: 22)
Financial Markets, Institutions & Instruments     Hybrid Journal   (Followers: 38)
Food Packaging and Shelf Life     Hybrid Journal   (Followers: 3)
Foundations and Trends® in Marketing     Full-text available via subscription   (Followers: 11)
Future Business Journal     Open Access   (Followers: 2)
Global Journal of Emerging Market Economies     Hybrid Journal   (Followers: 1)
Health Services and Outcomes Research Methodology     Hybrid Journal   (Followers: 6)
Health Services Management Research     Hybrid Journal   (Followers: 16)
Health Services Research     Hybrid Journal   (Followers: 18)
i+Diseño : Revista científico-académica internacional de Innovación, Investigación y Desarrollo en Diseño     Open Access  
Independent Journal of Management & Production     Open Access   (Followers: 1)
Ingeniería y Competitividad     Open Access  
International Journal of Advanced Operations Management     Hybrid Journal   (Followers: 7)
International Journal of Bank Marketing     Hybrid Journal   (Followers: 4)
International Journal of Business and Emerging Markets     Hybrid Journal   (Followers: 1)
International Journal of Business Forecasting and Marketing Intelligence     Hybrid Journal   (Followers: 3)
International Journal of Electronic Marketing and Retailing     Hybrid Journal   (Followers: 5)
International Journal of Emerging Markets     Hybrid Journal   (Followers: 3)
International Journal of Entrepreneurial Venturing     Hybrid Journal   (Followers: 1)
International Journal of Financial Services Management     Hybrid Journal   (Followers: 1)
International Journal of Information Systems and Supply Chain Management     Full-text available via subscription   (Followers: 10)
International Journal of Inventory Research     Hybrid Journal  
International Journal of Lean Six Sigma     Hybrid Journal   (Followers: 8)
International Journal of Logistics Economics and Globalisation     Hybrid Journal   (Followers: 3)
International Journal of Managing Projects in Business     Hybrid Journal   (Followers: 3)
International Journal of Market Research     Hybrid Journal   (Followers: 14)
International Journal of Nonprofit & Voluntary Sector Marketing     Hybrid Journal   (Followers: 7)
International Journal of Pharmaceutical and Healthcare Marketing     Hybrid Journal   (Followers: 4)
International Journal of Planning and Scheduling     Hybrid Journal   (Followers: 2)
International Journal of Product Development     Hybrid Journal   (Followers: 1)
International Journal of Production Economics     Hybrid Journal   (Followers: 19)
International Journal of Production Management and Engineering     Open Access   (Followers: 4)
International Journal of Production Research     Hybrid Journal   (Followers: 13)
International Journal of Productivity and Quality Management     Hybrid Journal   (Followers: 4)
International Journal of Quality and Service Sciences     Hybrid Journal   (Followers: 2)
International Journal of Quality Innovation     Open Access   (Followers: 4)
International Journal of Research in Marketing     Hybrid Journal   (Followers: 18)
International Journal of Service Industry Management     Hybrid Journal   (Followers: 1)
International Journal of Services and Standards     Hybrid Journal   (Followers: 1)
International Journal of Services Operations and Informatics     Hybrid Journal   (Followers: 1)
International Journal of Services Sciences     Hybrid Journal  
International Journal of Supply Chain and Inventory Management     Hybrid Journal   (Followers: 7)
International Journal of Supply Chain and Operations Resilience     Hybrid Journal   (Followers: 3)
International Journal of Supply Chain Management     Open Access   (Followers: 15)
International Journal of Systems Science : Operations & Logistics     Hybrid Journal  
International Journal of Technology Marketing     Hybrid Journal   (Followers: 3)
International Journal of Trade and Global Markets     Hybrid Journal   (Followers: 2)
Internet Reference Services Quarterly     Hybrid Journal   (Followers: 33)
JCMS : Journal of Common Market Studies     Hybrid Journal   (Followers: 48)
Journal of Advances in Management Research     Hybrid Journal   (Followers: 1)
Journal of Benefit-Cost Analysis     Hybrid Journal   (Followers: 2)
Journal of Business & Industrial Marketing     Hybrid Journal   (Followers: 8)
Journal of Business Logistics     Hybrid Journal   (Followers: 8)
Journal of Business Venturing     Hybrid Journal   (Followers: 29)
Journal of Cleaner Production     Hybrid Journal   (Followers: 27)
Journal of Consumer Marketing     Hybrid Journal   (Followers: 19)
Journal of Database Marketing & Customer Strategy Management     Hybrid Journal   (Followers: 5)
Journal of Direct Data and Digital Marketing Practice     Hybrid Journal   (Followers: 6)
Journal of Emerging Knowledge on Emerging Markets     Open Access  
Journal of Entrepreneurial Finance     Open Access  
Journal of Financial Markets     Hybrid Journal   (Followers: 28)
Journal of Food Products Marketing     Hybrid Journal   (Followers: 1)
Journal of Foodservice Business Research     Hybrid Journal  
Journal of Global Marketing     Hybrid Journal   (Followers: 4)
Journal of Global Operations and Strategic Sourcing     Hybrid Journal   (Followers: 1)
Journal of Health Services Research and Policy     Hybrid Journal   (Followers: 16)
Journal of International Consumer Marketing     Hybrid Journal   (Followers: 9)
Journal of International Financial Markets, Institutions and Money     Hybrid Journal   (Followers: 19)
Journal of Loss Prevention in the Process Industries     Hybrid Journal   (Followers: 7)
Journal of Marketing     Full-text available via subscription   (Followers: 51)
Journal of Marketing Communications     Hybrid Journal   (Followers: 11)
Journal of Marketing Education     Hybrid Journal   (Followers: 7)
Journal of Marketing Research     Full-text available via subscription   (Followers: 70)
Journal of Nonprofit & Public Sector Marketing     Hybrid Journal   (Followers: 5)
Journal of Operations and Supply Chain Management     Open Access   (Followers: 6)
Journal of Political Marketing     Hybrid Journal   (Followers: 3)
Journal of Prediction Markets     Full-text available via subscription   (Followers: 1)
Journal of Product Innovation Management     Hybrid Journal   (Followers: 23)
Journal of Production Research & Management     Full-text available via subscription   (Followers: 3)
Journal of Productivity Analysis     Hybrid Journal   (Followers: 4)
Journal of Progressive Human Services     Hybrid Journal   (Followers: 1)
Journal of Public Policy & Marketing     Full-text available via subscription   (Followers: 14)
Journal of Relationship Marketing     Hybrid Journal   (Followers: 7)
Journal of Retailing and Consumer Services     Hybrid Journal   (Followers: 5)
Journal of Service Research     Hybrid Journal   (Followers: 6)
Journal of Services Marketing     Hybrid Journal   (Followers: 11)
Journal of Strategic Marketing     Hybrid Journal   (Followers: 11)
Journal of Targeting Measurement and Analysis for Marketing     Hybrid Journal   (Followers: 1)
Journal of Technology Management & Innovation     Open Access   (Followers: 5)
Journal of the Academy of Marketing Science     Hybrid Journal   (Followers: 25)
Journal of Vacation Marketing     Hybrid Journal   (Followers: 2)
Logistics     Open Access   (Followers: 1)
Logistics Journal     Open Access   (Followers: 2)
Management and Administrative Sciences Review     Open Access  
Management and Production Engineering Review     Open Access   (Followers: 1)
Manufacturing & Service Operations Management     Full-text available via subscription   (Followers: 17)
Marketing Intelligence & Planning     Hybrid Journal   (Followers: 4)
Marketing Letters     Hybrid Journal   (Followers: 10)
Marketing Review     Full-text available via subscription  
Marketing Science     Full-text available via subscription   (Followers: 34)
Psychological Services     Full-text available via subscription   (Followers: 4)
Psychology & Marketing     Hybrid Journal   (Followers: 10)
Qualitative Market Research: An International Journal     Hybrid Journal   (Followers: 3)
Quantitative Marketing and Economics     Hybrid Journal   (Followers: 4)
Reproduction Fertility and Development     Hybrid Journal   (Followers: 4)
Review of Pacific Basin Financial Markets and Policies     Hybrid Journal  
Revista Eletrônica Academicus     Open Access  
Revue Interventions économiques     Open Access   (Followers: 1)
Service Business     Hybrid Journal   (Followers: 1)
Service Oriented Computing and Applications     Hybrid Journal   (Followers: 2)
Service Science     Full-text available via subscription   (Followers: 1)
Services Marketing Quarterly     Hybrid Journal   (Followers: 5)
Social Marketing Quarterly     Hybrid Journal   (Followers: 6)
Strategy Management Logistics     Open Access   (Followers: 2)
Supply Chain Forum : an International Journal     Full-text available via subscription   (Followers: 7)
Sustainable Production and Consumption     Full-text available via subscription   (Followers: 1)
Technology Operation Management     Hybrid Journal  
The Journal of Futures Markets     Hybrid Journal   (Followers: 6)
The Service Industries Journal     Hybrid Journal   (Followers: 4)
Universal Journal of Industrial and Business Management     Open Access  
Venture Capital: An International Journal of Entrepreneurial Finance     Hybrid Journal   (Followers: 1)
WPOM - Working Papers on Operations Management     Open Access   (Followers: 1)

           

Similar Journals
Journal Cover
International Journal of Lean Six Sigma
Journal Prestige (SJR): 0.802
Citation Impact (citeScore): 3
Number of Followers: 8  
 
Hybrid Journal Hybrid journal   * Containing 3 Open Access Open Access article(s) in this issue *
ISSN (Print) 2040-4166 - ISSN (Online) 2040-4174
Published by Emerald Homepage  [360 journals]
  • Implementing lean six sigma in health care: a review of case studies

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      Authors: Alok Kumar Samanta , Varaprasad G. , Anand Gurumurthy
      Abstract: Health care organisations implement lean six sigma (LSS) methodology to achieve improved performance in terms of cost, quality and productivity. However, the way it gets implemented differs between organisations. Hence, this paper deal with a review of case studies describing the implementation of LSS in health care organisations to understand the nuances of implementation and identify future research directions. The journal articles indexed in the Web of Science and Scopus database were filtered out. In total, 154 articles were evaluated using specific structural dimensions to categorise the literature into various groups, and content analysis was performed to synthesise the same. This review revealed that the number of articles publishing the application of LSS in health care has been increasing in the last five years. Academic hospitals play a pivotal role to bridge the gap between LSS theory and practice. Despite this fact, certain themes remain unexplored. Not many studies are available that document the application of LSS in non-clinical areas such as pharmacy, internal logistics, maintenance and medical records. Only 20% of articles mentioned the post-intervention data up to three years, thus questioning the sustainability aspect of the achieved improvements. Various research gaps were identified, which can be used by the researchers to build the body of knowledge in the domain of LSS in health care. This review provides a diversified view regarding the utility of LSS in the health care scenario. The findings will provide valuable insights for the health care practitioners regarding tools, techniques, drivers and performance measures. To the best of the authors’ knowledge, this is the first study to review only the case studies that describe the implementation of LSS in the health care sector.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2022-05-19
      DOI: 10.1108/IJLSS-08-2021-0133
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • A toolset for complex decision-making in analyze phase of Lean Six Sigma
           project: a case validation

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      Authors: Mahipal Singh , Rajeev Rathi , Jiju Antony , Jose Arturo Garza-Reyes
      Abstract: The analyze phase of Lean Six Sigma (LSS) project is an important phase where the project heads and organizational directors need to select the critical issues for further improvements. The present work is primarily focused on analyze phase of LSS project to prioritize the critical to quality (CTQ) in a particular case industry. The CTQ prioritization is being done based on the five evaluation criteria found from the literature. The weights of the criteria are determined through the modified digital logic (MDL) method. The identified CTQs in assembly section of case industry have been ranked through the gray relational analysis (GRA) under fuzzy environment. The results of the study have been validated using fuzzy VlseKriterijumska Optimisacija I Kompromisno Resenje (VIKOR). It is found that the “cost” criterion is the most significant among other criteria with MDL weight of 0.3. Through fuzzy-GRA, out of ten identified CTQs, non-availability of rack system is found to be the most critical issue in assembly section of case industry. The perceptions of industrial manager and production head of case industry are strongly in favor of the obtained results and have implemented the suggested solutions. To sustain in the competitive environment and produce quality product at right time, organizations need to control their CTQs as per their criticality. For this, the decision-making becomes quite complex to select the most critical factors because of the fascinating nature of various criteria and sub-criteria. The present study is the first attempt that has implemented the multi-criteria decision-making approach in analyze phase of LSS project.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2022-05-19
      DOI: 10.1108/IJLSS-11-2020-0200
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • An occupational health and safety management system framework for lean
           process industries: an interpretive structural modelling approach

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      Authors: Samir Ramdas Kale , Srinivas Kota , Naga Vamsi Krishna Jasti , Gunjan Soni , Surya Prakash
      Abstract: The manufacturing sector has been observing various benefits by the implementation of lean manufacturing practices. However, the manufacturing sector has neglected the significance of health and safety management system implementation. The purpose of this research is to propose and validate an occupational health and safety management systems (OHSMS) framework based on critical success factors and their relationships in the lean manufacturing organizations. A critical literature review was conducted to identify the success factors of OHSMS. Subsequently, a questionnaire survey and semi-structured interviews were conducted with experts from process industries to consolidate the critical success factors. After consolidating the critical success factors, relationships among critical success factors were established with the help of interpretive structural modelling using a team of 12 experts from industry and academia. These established relationships helped in proposing the hierarchical implementation framework. Finally, the validation of the proposed implementation framework was carried out using structural equation modelling (SEM). This study has identified nine broader critical success factors for implementation of OHSMS in lean manufacturing organizations, especially the process industry. Subsequently, this study has proposed an OHSMS framework with nine broader critical success factors to implement in lean manufacturing organizations. Finally, the proposed framework has been validated using SEM with an appropriate sample size. This study is helpful to the organizations to implement OHSMS without losing the essence of lean manufacturing strategy. This study has proposed a framework for implementation of OHSMS in the lean manufacturing organizations, especially process industry sector. This study also provided confidence to the organization through the validation of proposed framework in the process industry. To the best of the authors’ knowledge, this study is first of its kind in this field of OHSMS in lean manufacturing organizations, especially the process industry. This study has involved both academicians and industry experts to bring more robust outcomes. This study proposed a unique framework to implement OHSMS in lean manufacturing organizations. This study has considered a comprehensive literature to develop a framework for OHSMS in lean manufacturing organizations. An implementation framework was proposed by considering both the academicians’ and industry professionals’ opinions. The proposed framework was statistically validated. This will be helpful in effective implementation of OHSMS strategy in lean manufacturing organizations, especially process industry sector.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2022-05-17
      DOI: 10.1108/IJLSS-11-2020-0185
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Development of a retail supply chain process reference model incorporating
           Lean Six Sigma initiatives

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      Authors: Nikolaos A. Panayiotou , Konstantinos E. Stergiou
      Abstract: The purpose of this paper is the development of a reference model contributing to the identification of the retail supply chain activities that can be improved by the implementation of Lean Six Sigma (LSS) initiatives, following DMAIC steps and using proposed tools, based on contemporary technologies and best practices. The reference model was developed combining the existing literature knowledge about the areas of supply chain that LSS can improve and the data collected by two big retailers in Greece about their supply chain operation. The integration of two sources of information led to the modeling of the retail supply chain processes and the proposal of appropriate LSS initiatives for their improvement. This paper aimed to detect the pain points of a retail supply chain, which can be achieved by following the steps of DMAIC and applying specific LSS initiatives as described in the reference model, to introduce the trends of the sector in terms of logistics and supply chain. The reference model of this paper can be used as a comprehensive guide of LSS implementation in the retail supply chain and help the companies of such a significant sector for the economy. The literature review revealed that there is a lack of publications concerning LSS implementation in retail supply chain and in the retail sector in general. The development of this model contributes to the filling of this gap by providing a complete reference model, which strives to overcome the barriers of LSS adoption in retail supply chain.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2022-05-16
      DOI: 10.1108/IJLSS-04-2021-0079
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Green lean six sigma sustainability – oriented project selection and
           implementation framework for manufacturing industry

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      Authors: Mahender Singh Kaswan , Rajeev Rathi , Jose Arturo Garza-Reyes , Jiju Antony
      Abstract: This paper aims to deal with the selection of the sustainability-oriented Green Lean Six Sigma (GLS) project for the manufacturing industry in the complex decision-making environment. Moreover, the study also proposes a GLS implementation framework for improved organizational performance. GLS project selection has been done based on the six sustainability-oriented criteria formed from 17 sub-criteria (found from the literature and developed by authors). The weights of the criteria have been determined through the entropy method. The projects have been ranked based on the criteria through the advanced decision-making approach: grey relation analysis (GRA). The results of the study were validated using best worst method and sensitivity analysis. It has been found that the productivity-related criterion is the most significant among other criteria with entropy weight of 0.2721. GRA has been used in this research work to rank the potential GLS projects in a manufacturing industry based on six sustainability criteria, to select a project that exhibits the maximum potential for sustainable improvement. The machine shop has been found as the most significant GLS project with grey relation grade of 0.4742. The present study facilitates practitioners and industrial managers to implement an inclusive GLS approach for improved sustainability dynamics through effective GLS project selection and implementation framework. With increased globalized competition in recent times, new projects are being considered as the foundation stone for organizational success. The decision-making becomes quite complex to select an effective project due to the intriguing nature of various criteria, sub-criteria and different aspects of sustainability. To the best of the authors’ knowledge, the present study is the first of its kind that provides ways for the selection of sustainability-oriented GLS projects.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2022-05-16
      DOI: 10.1108/IJLSS-12-2020-0212
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Quality 4.0 – an evolution of Six Sigma DMAIC

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      Authors: Carlos Alberto Escobar , Daniela Macias , Megan McGovern , Marcela Hernandez-de-Menendez , Ruben Morales-Menendez
      Abstract: Manufacturing companies can competitively be recognized among the most advanced and influential companies in the world by successfully implementing Quality 4.0. However, its successful implementation poses one of the most relevant challenges to the Industry 4.0. According to recent surveys, 80%–87% of data science projects never make it to production. Regardless of the low deployment success rate, more than 75% of investors are maintaining or increasing their investments in artificial intelligence (AI). To help quality decision-makers improve the current situation, this paper aims to review Process Monitoring for Quality (PMQ), a Quality 4.0 initiative, along with its practical and managerial implications. Furthermore, a real case study is presented to demonstrate its application. The proposed Quality 4.0 initiative improves conventional quality control methods by monitoring a process and detecting defective items in real time. Defect detection is formulated as a binary classification problem. Using the same path of Six Sigma define, measure, analyze, improve, control, Quality 4.0-based innovation is guided by Identify, Acsensorize, Discover, Learn, Predict, Redesign and Relearn (IADLPR2) – an ad hoc seven-step problem-solving approach. The IADLPR2 approach has the ability to identify and solve engineering intractable problems using AI. This is especially intriguing because numerous quality-driven manufacturing decision-makers consistently cite difficulties in developing a business vision for this technology. From the proposed method, quality-driven decision-makers will learn how to launch a Quality 4.0 initiative, while quality-driven engineers will learn how to systematically solve intractable problems through AI. An anthology of the own projects enables the presentation of a comprehensive Quality 4.0 initiative and reports the approach’s first case study IADLPR2. Each of the steps is used to solve a real General Motors’ case study.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2022-05-03
      DOI: 10.1108/IJLSS-05-2021-0091
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Solenoid valves quality improvement based on Six Sigma management

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      Authors: Yafen Liu , Yingxue Ren , Min Zhang , Keke Wei , Lei Hao
      Abstract: The purpose of this study is to present the implementation of Six Sigma in a solenoid valve manufacturing company in China. The project aims to reduce the solenoid valve defects, decrease the cost of poor quality, increase customer satisfaction and improve the long-term profitability of Company B. This paper follows the Six Sigma methodology: DMAIC (define, measure, analyse, improve and control) principle of case study research. Hysteresis, the key characteristic of a solenoid valve, is the main chance for quality improvement. This paper emphasizes the solution to the hysteresis problem. During DMAIC phases, the critical factors that affect hysteresis performance are identified for continuous quality improvement of solenoid valve manufacturing. The implementation of Six Sigma leads to a great quality improvement for the company studied in this paper. Control plans are made for good hysteresis performance. As a result, the first pass yield of solenoid valves has increased from 60% to 99.64%. The key hysteresis of the solenoid valve has shown a better performance. This study presents a solenoid valve industrial quality improvement case that demonstrates how Six Sigma and DMAIC methodology can be applied to reduce defects and achieve quality improvement in Company B. This study can be referred to for managers and engineers to undertake quality improvement programs.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2022-04-26
      DOI: 10.1108/IJLSS-08-2021-0140
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Are Industry 4.0 technologies enablers of lean' Evidence from
           manufacturing industries

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      Authors: Sanjiv Narula , Harish Puppala , Anil Kumar , Sunil Luthra , Maheshwar Dwivedy , Surya Prakash , Vishal Talwar
      Abstract: This study aims to propose a conceptual model indicating the impact of Industry 4.0 (I4.0) technologies on lean tools. Additionally, it prioritizes I4.0 technologies for the digital transformation of lean plants. The authors conducted a questionnaire-based survey to capture the perception of 115 experts of manufacturing industries from Germany, India, Taiwan and China. The impact of I4.0 on lean tools, using analysis of variance (ANOVA). Further, the authors drew a prioritization map of I4.0 on the employment of lean tools in manufacturing, using the Best–Worst Method (BWM). The findings indicate that cloud manufacturing, simulation, industrial internet of things, horizontal and vertical integration impact 100% of the lean tools, while both cyber-security, big data analytics impact 93% of the lean tools and advanced robotics impact 74% of the lean tools. On the other hand, it is observed that augmented reality and additive manufacturing will impact 21% and 14% of the lean tools, respectively. The results of this study would help practitioners draw up a strategic plan and roadmap for implementing lean 4.0. The amalgamation of lean with I4.0 technologies in the right combination would enhance speed productivity and facilitate autonomous operations. Studies exploring the influence of I4.0 on lean manufacturing lack comprehensiveness, testing and validation. Importantly, no studies in the recent past have explored mapping and prioritizing I4.0 technologies in the “lean” context. This study thereby attempts to establish a conceptual model, indicating the influence of I4.0 technologies on lean tools and presents the hierarchy of all digital technologies.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2022-04-25
      DOI: 10.1108/IJLSS-04-2021-0085
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Exploratory factor analysis of barriers to lean construction based on
           Brazilian managers' perceptions

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      Authors: Aline Patricia Mano , Sergio E. Gouvea da Costa , Edson Pinheiro de Lima , Ricardo Coser Mergulhão
      Abstract: Lean construction (LC) is an important strategy to improve the results of organizations in the civil construction sector. However, there are barriers that hinder the success of implementing LC. The literature presents many barriers, which makes it difficult to make a diagnosis about the presence of these barriers within an organization. However, if companies could identify the main difficulties, they would face to implement LC, they could prepare by strengthening their weaknesses. This paper aims to diagnose a small set of factors that identifies the most significant barriers that must be considered before implementing lean construction. This study comprises an exploratory factor analysis (EFA). For this, a questionnaire was developed based on an extensive literature search on the barriers that hinder the implementation of LC. Using this questionnaire as a data collection instrument, a survey was conducted that obtained 135 responses from managers working in civil construction in Brazil. EFA was conducted using SPSS software. This study identified seven critical factors for successful implementation of LC: degree of cooperation within the work teams, use of an adequate performance measurement system, occurrence of job delays, level of participation of those involved in the construction of decisions, degree of leadership openness, positioning in the face of news and problems in the flow of information. The barriers to implementing LC can be different depending on the social and economic context in which companies are inserted. This work was conducted in an emerging country. Thus, it would be important that the same be applied to managers from other countries in different contexts to verify if the result found here is confirmed. There are many works in the literature that address the barriers to LC culminating in an extensive list, whose complexity of operationalizing the identification of their presence in an organization, ends up becoming another barrier. Given the negative influence that these barriers have for the success of LC, this work sets out to convert this extensive list into a short list that is easy to understand and use.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2022-04-20
      DOI: 10.1108/IJLSS-08-2021-0137
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Providing a model of LeAgile hybrid paradigm practices and its impact on
           supply chain performance

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      Authors: Akbar Rahimi , Akbar Alemtabriz
      Abstract: Given the need to simultaneously implement lean and agile (LeAgile) paradigms in supply chain, managers do not know which of these paradigms practices should be given priority. Not knowing this, not only will they fail to apply these paradigms properly, but they will also waste significant financial resources. The purpose of this paper is to investigate the relationship between the practices of LeAgile paradigms and their effects on the supply chain performance. Because the military products play a key role in national security enhancement, this research is done in the military product supply chain. Research methodology is an exploratory, mixed and descriptive one. In terms of its purpose, it is an applied research based on identifying and searching for practices and the use of interpretive equations. First, the authors identify the most important and implementable LeAgile practices in the form of importance feasibility analysis matrices. Then, using fuzzy interpretative structural modeling, a model is presented to show the logical relationships and hierarchy between paradigms, practices and their impact on supply chain performance. The research tool in both main stages of the research was the questionnaire completed by industrial and academic experts. The selection of experts was done purposefully. The results show that of total 100 practices introduced in the previous research for LeAgile supply chain, 21 practices in the lean and agility of the supply chain of military industries are important and implementable. The final model of this study illustrates the hierarchical relationships between 21 practices and its effect on supply chain performance key measures. This model shows that LeAgile paradigms are intertwined and their simultaneous implementation leads to improved supply chain performance. In this model, supplier-related practices play a driving and fundamental role and become a top priority for implementation. Military products variation in land, air and sea areas and the large number of industries in each sectors, forced us to select the only land area. Although the results of this research can be used in the air and sea areas, one cannot say that Implementation of this study by its presented model will fully lead to the military industries supply chain (SC) lean and agility in air and sea sectors. To the best of the authors’ knowledge, this is the first research on the SC legality in Iran’s military industry which tries to apply these two paradigms simultaneously in the SC and bridge the gap between theory and practice. Clustering LeAgile practices, based on two measures of importance and feasibility, and defining four strategies for implementing these measures, is a new approach to focus on deploying practices that are currently more feasible. Identifying a significant number of SC LeAgile practices (100 practices) and demonstrating the interactions between important and feasible practices in the military products SC are another innovation in this research.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2022-03-25
      DOI: 10.1108/IJLSS-04-2021-0073
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Six Sigma for improving tensile strength: a case study in the impregnating
           resin manufacturing company

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      Authors: Yingxue Ren , Min Zhang , Yin Bai , Haochen Bai
      Abstract: Unsatisfactory level of construction materials quality has been a persistent problem for companies in construction. This study aims to describe the application of the Six Sigma methodology for improving the tensile strength in a Chinese reinforcement material manufacturing company. Six Sigma-based framework of define-measure-analyse-improve-control (DMAIC) methodology is adopted in this case study. During different stages, quality problems and critical factors are identified to improve the low performance of tensile strength and thixotropy of the impregnating resin. The results provide solid evidence that how Six Sigma can be successfully applied in reinforcement material manufacturing. Results showed that vacuum degree, reaction temperature and stirring rate are significant factors on tensile strength. Control plans for continuous improvements are suggested and implemented. Our study found that managerial assurance activities such as verification were less developed than equipment-related control activities. Besides, data management required further elaboration on integrated data and information systematically, thereby to enable the company to make informed decisions and to support continuous improvement. This study contributes to show a potential area in which Six Sigma DMAIC approach can promote to improve the tensile strength of impregnating resin. This case can prompt managers of the company to apply Six Sigma method to address complicated problems in other reinforcement material processes. Companies of construction and their suppliers can refer to this study when improving their manufacturing process.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2022-03-23
      DOI: 10.1108/IJLSS-08-2021-0136
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Practical implications of Lean, Six Sigma and Lean Six Sigma in the public
           administration sector: a systematic literature review

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      Authors: Evangelos Psomas , Efthalia Keramida , Nancy Bouranta
      Abstract: The purpose of this study is to identify the practical implications of Lean, Six Sigma (SS) and Lean SS (LSS) in the public administration sector. Determining the key themes of these practical implications is also an aim of the present study. A systematic literature review (SLR) was conducted based on the databases of six well-known academic publishers, namely, Emerald, Elsevier/Science Direct, Springer Link, Taylor and Francis, Sage and Willey online. The review revealed 56 peer-reviewed journal articles published between 2004 and 2020. The “affinity diagram” was applied to group the practical implications of Lean, SS and LSS into logical themes. A plethora of practical implications of Lean, SS and LSS in the public administration sector are identified in the literature, examples of which are analytically presented. The analysis showed that the practical implications identified can be grouped into 14 meaningful themes, and these themes in turn into categories, formulating thus, a conceptual framework. The key themes that are supported in the literature by most references are the following: human factors involved in Lean/SS/LSS, Lean/SS/LSS benefits and Lean/SS/LSS implementation issues. Although several databases were used, some publishers might have been missed out in this SLR. The subjectivity in applying the “affinity diagram” is also a limitation of this study. Based on these limitations, further literature review studies can be designed. Twofold implications arise from the present study, meaning from the practitioner and the academic perspective. The practical implications identified as well as their meaningful themes revealed constitute useful guidelines for managers and decision-makers wishing to implement Lean/SS/LSS in the public administration sector and bridge their knowledge gap between theory and practice. Moreover, all the practical dimensions of Lean/SS/LSS included in the comprehensive conceptual framework formulated could serve as research avenues for academics. The application of Lean/SS/LSS in the public sector has not been widely reviewed, while the stream of literature focuses on limited issues (critical success factors, benefits, challenges, etc.). Moreover, SLRs in services and specifically in the public administration sector are fewer. Stimulated by this gap and the suggestions of other researchers for future studies, to the best of the authors’ knowledge, this study provides the first SLR which analyzes the practical implications of Lean/SS/LSS in the public administration sector and determines their key themes.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2022-03-10
      DOI: 10.1108/IJLSS-04-2021-0078
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Integration of Six Sigma methodology of DMADV steps with QFD, DFMEA and
           TRIZ applications for image-based automated inspection system development:
           a case study

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      Authors: Kumaraendran Purushothaman , Rosmaini Ahmad
      Abstract: This paper aims to present the development of an automated inspection system (AIS) using an image-based analysis mechanism, called i-AIS. The development process of i-AIS used the Design Six Sigma (DSS) methodology. The steps of define, measure, analyze, design and verify (DMADV) are applied and integrated with specific analyses techniques of the quality function deployment (QFD), design failure mode effect analysis (DFMEA) and theory of inventive problem solving (TRIZ). The production process of adhesive tape is the focused case study in this research project, motivated by the high product defect rate complained by customers. The development process of i-AIS was divided into five standard steps based on the DSS methodologies of DMADV. One of the key processes in this development was to systematically identify the right and intended features of i-AIS. This was carried out based on the application of the QFD technique. Another important process was to further investigate the possible causes of i-AIS failure, to function as intended. This investigative process was carried out based on the DFMEA technique, while the solution to minimize the risk of the identified failures was obtained from the TRIZ method. The final prototype of i-AIS was then presented in the design step. Verification of the i-AIS prototype revealed its operation at an optimally intended mode that fulfilled the requirements of internal customers. Verification results also revealed that the sigma level has improved from 3.87 to 4.33. Meanwhile, the defect reduction rate is improved to 74.4% and downtime rate also recorded a significant improvement at 80.7% of reduction. The presented research work is carried out based on a customized case study. Although the proposed methodology can be applied to others cases towards design-based solution, some modifications maybe required based on to the unique features of the case study under consideration. The presented research project indicated that the proposed methodology was successful to facilitate a structured and systematic process towards defect identification, classification, evaluation and generation of a solution. The paper presents the development process of an AIS by considering comprehensive managerial aspects that are currently absent in the literature. An integrated DSS structure is proposed to systematically guide the development of i-AIS. The related managerial aspects such as identification of critical defects problem, customer requirement mapping, prototype design analysis and comparison measurements before and after i-AIS installation are considered in this research project.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2022-03-08
      DOI: 10.1108/IJLSS-05-2021-0088
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • The significance of employee behaviours and soft management practices to
           avoid digital waste during a digital transformation

         This is an Open Access Article Open Access Article

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      Authors: Jamila Alieva , Daryl John Powell
      Abstract: The purpose of this study is to investigate the perceived effects between soft management practices, employee behaviours and the implementation of digital technologies in manufacturing plants, as well as how these relate to the emergence of digital waste. This paper uses case-based research. Data was collected in two large manufacturing companies based in Norway and Sweden through semi-structured interviews with two management representatives and four shop-floor employees. The data was used to evaluate 29 variables describing lean- and total quality management (TQM)-associated employee behaviours and soft management practices, in light of digital transformation. The results suggest that several variables were positively influenced by the digital transformation process. These were top management leadership, middle management involvement, employee education, corporate social responsibility focus, innovation, knowledge sharing, work-family balance, psychological capital, job satisfaction and career commitment. Training employees, creativity, discretionary effort, turnover intention and proactivity appear to be negatively influenced by digital transformation The findings also indicate that several soft management practices and employee behaviours were not only influenced by manufacturing digitalization but also themselves influenced the process. The potential for digital waste creation was also detected in several variables, including reward and recognition and training employees. Managers, practitioners and academics may learn about the importance of certain managerial practices and employees’ behavioural needs during the digital transformation process. The findings may help in prioritizing TQM and soft lean management practices and certain employee behaviours during the digital transformation and in creating awareness of digital waste. This study builds on several existing studies discussing the impact of digital transformation on soft management practices and employee behaviours. It provides insights from a lean and TQM angle and offers a means of prioritizing certain practices and behaviours during a digital transformation. This study also highlights the significance of digital waste.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2022-03-04
      DOI: 10.1108/IJLSS-07-2021-0127
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Using Lean Six Sigma to improve timeliness of clinical laboratory test
           results in a university hospital in Egypt

         This is an Open Access Article Open Access Article

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      Authors: Islam Ibrahim , Magda Sultan , Omaima Gaber Yassine , Adel Zaki , Hossam Elamir , Wafaa Guirguis
      Abstract: Healthcare environments are highly complex and full of variation and inefficiency. However, variation and inefficiency can be measured and improved, providing better quality care at a lower cost. This study aims to report the application of Lean Six Sigma (LSS) in a haematology laboratory in a university hospital in Egypt. The authors used case study research. Applying the define, measure, analyse, improve and control phases of the DMAIC methodology together with lean tools, the problem was identified, the process mapped, the causes analysed and improvements implemented. Results show that LSS can be successfully implemented in challenging public sector healthcare settings. Management commitment, generating and implementing ideas from frontline staff, using a variety of quality tools and previous LSS training were all key to success. This is evidence that the LSS methodology is adaptable to any process, people or place. There are no publications on LSS implementation in health care in Egypt. This study demonstrates the successful use of LSS in a university hospital (public sector) in a developing country, sharing insight into the facilitators and barriers in a real context with others in the healthcare field.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2022-03-02
      DOI: 10.1108/IJLSS-08-2021-0138
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Research on optimization and simulation of sand casting production line
           based on VSM

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      Authors: Bao Chao , Chaoyong Zhang , Yu Zhang , Hongfei Guo , Yaping Ren , Hao Zhang
      Abstract: This paper aims to provide feasible countermeasures for the application of lean manufacturing in automatic sand casting workshops to optimize production line balance. A production line balance optimization model for sand casting workshops is proposed. The value stream mapping (VSM) approach is applied to diagnose the problems in the production process. An optimization scheme is established based on eliminate, combine, rearrange, simplify and increase theory and Kanban management method. Further, simulation is done to compare current VSM and future VSM. After implementing the proposed model, findings indicated that the idle time of equipment was effectively reduced, the line of balance of the production line was increased by 44.7%, the production lead time was shortened by 60.3% and the production capacity was increased by 50.0%. Application of the optimization model in this study is limited to sand casting workshops that have realized automatic or semi-automatic production. This paper provides an optimization model for the implementation of lean manufacturing in sand casting workshops and provides a reference case that reflects the actual application of lean manufacturing tools in a real situation.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2022-02-16
      DOI: 10.1108/IJLSS-10-2021-0183
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Soft and hard skills development in lean management trainings

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      Authors: Ana Paula Lista , Guilherme Luz Tortorella , Marina Bouzon , Matthias Thürer , Daniel Jurburg
      Abstract: This study aims to investigate the impact of traditional teaching and active learning methods in lean management (LM) on the development of both soft and hard skills. Through a longitudinal study, team members from two different organisations (the administrative sector of a public higher education institution and a public teaching hospital), each adopting different teaching methods to support their LM trainings, were systematically examined at four moments during an 18-month period. How teaching methods impacted team members’ development and knowledge was then assessed using multivariate data analysis techniques. Results indicated that LM trainings can provide significant impacts when a combination of traditional teaching methods and active learning is adopted. Traditional teaching methods can be a good choice for learning hard skills depending on resources’ availability. However, it is recommended to include active learning methods to assist in the comprehension of more complex and abstract LM concepts (soft skills). Although there exists a large number of publications on the relationship between LM implementation and teaching methods, the number of studies that consider the development of both hard and soft skills is rather limited. This study complements the existing literature on LM by identifying which teaching methods can support the development of hard skills and which the development of soft skills. Such identification facilitates the work of both scholars wishing either to begin or to dig deeper into this sphere and practitioners pursuing the best outcomes from LM.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2022-02-07
      DOI: 10.1108/IJLSS-06-2021-0116
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Effects of lean distributed manufacturing on factory’s resilience: the
           current practice in UK food manufacturing sector

         This is an Open Access Article Open Access Article

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      Authors: Ijaz Ul Haq , James Andrew Colwill , Chris Backhouse , Fiorenzo Franceschini
      Abstract: Lean distributed manufacturing (LDM) is being considered as an enabler of achieving sustainability and resilience in manufacturing and supply chain operations. The purpose of this paper is to enhance the understanding of how LDM characteristics affect the resilience of manufacturing companies by drawing upon the experience of food manufacturing companies operating in the UK. The paper develops a conceptual model to analyse the impact of LDM on the operational resilience of food manufacturing companies. A triangulation research methodology (secondary data analysis, field observations and structured interviews) is used in this study. In a first step, LDM enablers and resilience elements are identified from literature. In a second step, empirical evidence is collected from six food sub-sectors aimed at identifying LDM enablers being practised in companies. The analysis reveals that LDM enablers can improve the resilience capabilities of manufacturing companies at different stages of resilience action cycle, whereas the application status of different LDM enablers varies in food manufacturing companies. The findings include the development of a conceptual model (based on literature) and a relationship matrix between LDM enablers and resilience elements. The developed relationship matrix is helpful for food manufacturing companies to assess their resilience capability in terms of LDM characteristics and then formulate action plans to incorporate relevant LDM enablers to enhance operational resilience. Based on the literature review, no studies exist that investigate the effects of LDM on factory’s resilience, despite many research studies suggesting distributed manufacturing as an enabler of sustainability and resilience.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2022-01-25
      DOI: 10.1108/IJLSS-07-2021-0124
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • How to motivate students to do a course project in design of experiments
           course from a web-based virtual learning material'

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      Authors: Charnnarong Saikaew
      Abstract: The purpose of this study is to develop a practical method for training students how to conduct statistical analysis and do a course project in design of experiments (DOEs) course through the Web-based virtual catapult simulation. A step-by-step sequential DOE process for investigating the effects of controllable factors on quality characteristic responses was presented as a guideline for conducting a DOE course project. Each team was assigned to create an innovative teaching material and work on the term report by following the recommended guidelines for designing experiments through the Web-based virtual catapult simulation. Hypothesis was defined to test whether doing a course project based on this approach would impact students’ learning outcome. The Web-based virtual material was an alternative technique for interactive teaching that could improve students’ understanding and achievement in DOE course projects. There was a significant difference in student learning and understanding before and after doing on the course project through the Web-based virtual catapult simulation. The students had improved communication and teamwork skills after following the recommended procedure for practicing DOEs. Most students could effectively conduct designing experiments, carry out designed experiments, analyze data and gain valuable teamwork experience. After learning the DOE approach based on the catapult simulation, they enjoyed working on their course projects deploying to the innovative toys and other real-life situations with real measurements. The use of Web-based virtual material, including catapult simulation, was an alternative technique for interactive DOE teaching to improve the students’ understanding and achievement in DOE course projects.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2022-01-11
      DOI: 10.1108/IJLSS-02-2021-0031
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Lean and resilience in the healthcare supply chain – a scoping
           review

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      Authors: Najla Alemsan , Guilherme Tortorella , Carlos Manuel Taboada Rodriguez , Hadi Balouei Jamkhaneh , Rui M. Lima
      Abstract: The importance of a lean health-care supply chain is increasingly discussed. However, it is still not very clear how lean practices relate to resilience capabilities, as there are synergies and divergences between them. This study aims at identifying the relationship between lean practices and resilience capabilities in the health-care supply chain. This study conducted a scoping review based on five databases, which allowed the content analysis of 44 articles. Such analysis allowed the verification of trends and volume of studies on this topic. Further, the descriptive numerical and thematic analyses enabled the proposition of a conceptual framework, relating the adoption of lean practices to the development of resilience capabilities according to the tiers of the health-care supply chain in different value streams. Three research directions were derived from this scoping review: empirical validation of the contribution of lean practices to resilience capabilities in the health-care supply chain; systemic implementation of lean practices across tier levels of the health-care supply chain; and complementary approaches to lean implementation toward a more resilient health-care supply chain. The understanding of these relationships provides health-care managers arguments to prioritize the application of lean practices to improve desired resilience capabilities in the entire health-care supply chain. To the best of the authors’ knowledge, there is no similar study in the literature.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2022-01-05
      DOI: 10.1108/IJLSS-07-2021-0129
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Toward a holistic understanding of performance in Lean Manufacturing: a
           discussion on the relevance of its indicators

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      Authors: Diana Cardenas-Cristancho , Laurent Muller , Davy Monticolo , Mauricio Camargo
      Abstract: This study aims to propose a novel approach to select and prioritize performance indicators in Lean Manufacturing depending on whether they are influencing or being influenced by others, thereby assisting in the decision-making process for improving overall performance. The methodology comprises two stages. First, a literature review was conducted to identify the performance indicators, and then their interrelationships were analyzed by means of the decision-making trial and evaluation laboratory (DEMATEL) multi-criteria decision-making (MCDM) method. The results provide a comprehensive visualization of the performance indicators in Lean Manufacturing, with a total of 50 identified indicators. Among these, 29 were categorized as causal, meaning that their results mainly influence the others, and 21 as influenced, with their results mostly being influenced by others. Among the causal indicators, those related to the human factor (eight indicators) were the most predominant. However, the most-cited performance families in the literature do not stand out as being causal, but rather as mostly influenced. This study can help managers improve and analyze performance more effectively, while focusing on the importance of choosing causal over influenced indicators. Performance measurement plays a crucial role for organizations, but because of the increasing number of metrics, there lacks an established framework. This exploratory study thus opens the discussion on relevance to determine a group of coherent and connected indicators that could help measure performance in a more comprehensive manner, rather than in several isolated parts.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2021-12-30
      DOI: 10.1108/IJLSS-10-2020-0163
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Improving access to frontline psychosocial services for youths in
           difficulty by using LSS: an action research case study

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      Authors: Tasseda Boukherroub , Lysane Ouellet , Guillaume Lemay , Nathalie Bibeau , Diane Thiffault , Nicole McNeil
      Abstract: This study aims to improve accessibility to frontline psychological services for youths in difficulty. In the province of Quebec, Canada, the first significant intervention must take place within 30 days for at least 75% of the clients. Achieving this target is challenging. This was observed in the Youth Programme of a health-care network in Montreal (Centre Intégré (Universitaire) de la Santé et des Services Sociaux Centre-Sud-de-l’île-de-Montréal). Lean Six Sigma (LSS) approach within the Action Research methodology was used. Define, Measure, Analyse, Innovate, Implement and Control structure combined with Lean techniques and a Kaizen event were implemented. In total 69% of the clients have now had their first intervention within 30 days and 91% within 60 days. Improving accessibility to frontline services led to improving accessibility to second-line services. Communicating performance objectives to employees led to increasing their awareness about the importance of performance assessment and their willingness to contribute to improvement. The Kaizen event was a driving force that enabled more collaboration and trust. The participation of a partner-client in the Kaizen helped finding client-centred solutions. The large number of participants in the Kaizen added complexity. It was difficult to sort and rank a large number of solutions during the Kaizen. The impact of hiring additional employees has not been investigated. Despite the significant improvements, the targets were not achieved. More research is required to identify more accurately critical factors that have a major impact on the success of LSS projects involving complex processes. This study contributes to the body of knowledge in Lean health care. It describes Lean tools/techniques used, solution implementation and improvements achieved in a real context. 10 success factors and 4 challenges were identified. The study provides a model for other organizations for developing their own roadmap to improve accessibility to their services, notably in large and complex processes.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2021-12-27
      DOI: 10.1108/IJLSS-08-2020-0134
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Exploring relationships for integrating lean, environmental sustainability
           and industry 4.0

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      Authors: Lígia Lobo Mesquita , Fabiane Letícia Lizarelli , Susana Duarte , Pedro Carlos Oprime
      Abstract: This paper aims to thoroughly identify the forms of integration between Lean, Industry 4.0 (I4.0) and environmental sustainability (ES) by examining the relationships between these three constructs, deepening understanding surrounding the theme and evolving the construction of a framework that can aid managing industrial production processes. A systematic literature review (SLR) was the method used to identify the relationships for integration in the current literature. The SLR was supported by content and cluster analysis. The analyzes identified relationships at two levels. The first level observed relationships for constructs and variables. The second, at the level of constructs and components, which detail the variables. This study also proposes an integrated conceptual framework showing these relationships at the construct, variable and component levels. The results show how these three constructs are related and the study concludes by stating that there is stronger integration among I4.0 technologies and Lean practices for reaching ES. The SLR identified the main components that allowed for this integration, i.e. I4.0 technologies, Big Data, the internet of things and Lean practices, like reducing waste and customer needs. From an academic standpoint, this study proposes new lines of research lines that have not been explored thus far, and can be developed via empirical studies, at the strategic and operational levels among different industrial sectors. Also, this study can help managers understand the integrations between Lean practices and I4.0 technologies to achieve better operational and environmental organizational results. To the best of the knowledge, this study is the first of its kind using SLR to integrate Lean approaches, ES and I4.0 and to propose a unified framework to help managers and academics understand these relationships.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2021-12-24
      DOI: 10.1108/IJLSS-09-2020-0145
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • A relationship between bias, lean tools, and waste

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      Authors: Mahesh Babu Purushothaman , Jeff Seadon , Dave Moore
      Abstract: This study aims to highlight the system-wide potential relationships between forms of human bias, selected Lean tools and types of waste in a manufacturing process. A longitudinal single-site ethnographic case study using digital processing to make a material receiving process Lean was adopted. An inherent knowledge process with internal stakeholders in a stimulated situation alongside process requirements was performed to achieve quality data collection. The results of the narrative analysis and process observation, combined with a literature review identified widely used Lean tools, wastes and biases that produced a model for the relationships. The study established the relationships between bias, Lean tools and wastes which enabled 97.6% error reduction, improved on-time accounting and eliminated three working hours per day. These savings resulted in seven employees being redeployed to new areas with delivery time for products reduced by seven days. The single site case study with a supporting literature survey underpinning the model would benefit from testing the model in application to different industries and locations. Application of the model can identify potential relationships between a group of human biases, 25 Lean tools and 10 types of wastes in Lean manufacturing processes that support decision makers and line managers in productivity improvement. The model can be used to identify potential relationships between forms of human biases, Lean tools and types of wastes in Lean manufacturing processes and take suitable remedial actions. The influence of biases and the model could be used as a basis to counter implementation barriers and reduce system-wide wastes. To the best of the authors’ knowledge, this is the first study that connects the cognitive perspectives of Lean business processes with waste production and human biases. As part of the process, a relationship model is derived.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2021-12-16
      DOI: 10.1108/IJLSS-03-2021-0045
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • An integrated lean and ISO 14001 framework for environmental performance:
           an assessment of New Zealand meat industry

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      Authors: Aqeel Ahmed , Sanjay Mathrani , Nihal Jayamaha
      Abstract: The aim of this paper is to explore the implementation of an integrated lean and ISO 14001 approach in meat industry for environmental performance and examine a proposed conceptual framework by capturing insights from lean and ISO 14001 experts in New Zealand (NZ). Semi-structured interviews have been conducted with a group of consultants (lean and ISO 14001) to evaluate the suitability of an integrated lean and ISO 14001 approach in the meat industry for environmental performance. A conceptual framework from literature has guided this study leading to its further development based on the empirical evidence collected. Findings have illustrated a synergistic positive impact of lean and ISO 14001 implementation as an integrated approach for sustaining environmental performance in the meat industry. A joint implementation program provides more clarity in aligning ISO 14001 operational procedures with lean tools and techniques for an enhanced environmental performance outcome. The application of an integrated lean and ISO 14001 framework is proposed in this paper, which can help industry practitioners and academia in developing a joint implementation strategy and conducting future research. To the best of the author’s knowledge, this study is the first to assess the effective implementation of lean and ISO 14001 as an integrated approach in the NZ meat industry.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2021-11-17
      DOI: 10.1108/IJLSS-05-2021-0100
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Lean six sigma through an Australasian lens: project definition, structure
           and practices

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      Authors: Achinthya Dharani Perera Halnetti , Nihal Jayamaha , Nigel Peter Grigg , Mark Tunnicliffe
      Abstract: The purpose of this paper is to investigate how successful lean six sigma (LSS) manifests in the Australasian (Australian and New Zealand) context relative to the context in the USA in terms of LSS project definition, structure and practices. In-depth investigation through case studies – 12 Australian/New Zealand cases and 4 US cases – on the implementation mechanisms of successful LSS initiatives. A significant difference was found between Australasian and US definitions of an LSS project. However, firms in both regions followed similar project selection, initiating and execution practices. LSS reporting structures were found to be well-established in US organizations, but none of the Australasian organizations were found to be equipped with such a structure, although the effectiveness of LSS implementation success remained unaffected. Sufficient uniformity of LSS was found across two regions implying its usefulness/generalizability, but the findings are based only on 12 cases. The paper provides the groundwork to develop a unique LSS model for Australasian organizations to improve processes in an effective and efficient manner.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2021-10-11
      DOI: 10.1108/IJLSS-07-2021-0132
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Towards the development of a system-wide quality improvement maturity
           model: a synthesis using systematic review and expert opinion

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      Authors: Adeel Akmal , Nataliya Podgorodnichenko , Richard Greatbanks , Jeff Foote , Tim Stokes , Robin Gauld
      Abstract: The various quality improvement (QI) frameworks and maturity models described in the health services literature consider some aspects of QI while excluding others. This paper aims to present a concerted attempt to create a quality improvement maturity model (QIMM) derived from holistic principles underlying the successful implementation of system-wide QI programmes. A hybrid methodology involving a systematic review (Phase 1) of over 270 empirical research articles and books developed the basis for the proposed QIMM. It was followed by expert interviews to refine the core constructs and ground the proposed QIMM in contemporary QI practice (Phase 2). The experts included academics in two academic conferences and 59 QI managers from the New Zealand health-care system. In-depth interviews were conducted with QI managers to ascertain their views on the QIMM and its applicability in their respective health organisations (HOs). The QIMM consists of four dimensions of organisational maturity, namely, strategic, process, supply chain and philosophical maturity. These dimensions progress through six stages, namely, identification, ad-hoc, formal, process-driven, optimised enterprise and finally a way of life. The application of the QIMM by the QI managers revealed that the scope of QI and the breadth of the principles adopted by the QI managers and their HOs in New Zealand is limited. The importance of QI in health systems cannot be overstated. The proposed QIMM can help HOs diagnose their current state and provide a guide to action achieving a desirable state of quality improvement maturity. This QIMM avoids reliance on any single QI methodology. HOs – using the QIMM – should retain full control over the process of selecting any QI methodology or may even cherry-pick principles to suit their needs as long as they understand and appreciate the true nature and scope of quality overstated. The proposed QIMM can help HOs diagnose their current state and provide a guide to action achieving a desirable state of quality improvement maturity. This QIMM avoids reliance on any single QI methodology. HOs – using the QIMM – should retain full control over the process of selecting any QI methodology or may even cherry-pick principles to suit their needs as long as they understand and appreciate the true nature and scope of quality. This paper contributes new knowledge by presenting a maturity model with an integrated set of quality principles for HOs and their extended supply networks.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2021-10-04
      DOI: 10.1108/IJLSS-06-2021-0107
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • A comparative analysis of green-lean-six sigma enablers and environmental
           outcomes: a natural resource-based view

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      Authors: Amna Farrukh , Sanjay Mathrani , Aymen Sajjad
      Abstract: Despite differing strategies towards environmental sustainability in developed and developing nations, the manufacturing sector in these regional domains faces substantial environmental issues. The purpose of this study is to examine the green-lean-six sigma (GLSS) enablers and outcomes for enhancing environmental sustainability of manufacturing firms in both, a developed and developing country context by using an environment-centric natural resource-based view (NRBV). First, a framework of GLSS enablers and outcomes aligned with the NRBV strategic capabilities is proposed through a systematic literature review. Second, this framework is used to empirically investigate the GLSS enablers and outcomes of manufacturing firms through in-depth interviews with lean six sigma and environmental consultants from New Zealand (NZ) and Pakistan (PK) (developed and developing nations). Analysis from both regional domains highlights the use of GLSS enablers and outcomes under different NRBV capabilities of pollution prevention, product stewardship and sustainable development. A comparison reveals that NZ firms practice GLSS to comply with environmental regulatory requirements, avoid penalties and maintain their clean-green image. Conversely, Pakistani firms execute GLSS to reduce energy use, satisfy international customers and create a green image. This paper provides new insights on GLSS for environmental sustainability which can assist industrial experts and academia for future strategies and research. This is one of the early comparative studies that has used the NRBV to investigate GLSS enablers and outcomes in manufacturing firms for enhancing environmental performance comparing developed and developing nations
      Citation: International Journal of Lean Six Sigma
      PubDate: 2021-09-22
      DOI: 10.1108/IJLSS-05-2021-0095
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Physics-based trade-off curves to develop a control access product in
           set-based concurrent engineering environment

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      Authors: Zehra Canan Araci , Ahmed Al-Ashaab , Cesar Garcia Almeida
      Abstract: This paper aims to present a process to generate physics-based trade-off curves (ToCs) to facilitate lean product development processes by enabling two key activities of set-based concurrent engineering (SBCE) process model that are comparing alternative design solutions and narrowing down the design set. The developed process of generating physics-based ToCs has been demonstrated via an industrial case study which is a research project. The adapted research approach for this paper consists of three phases: a review of the related literature, developing the process of generating physics-based ToCs in the concept of lean product development, implementing the developed process in an industrial case study for validation through the SBCE process model. Findings of this application showed that physics-based ToC is an effective tool to enable SBCE activities, as well as to save time and provide the required knowledge environment for the designers to support their decision-making.
      Authors expect that this paper will guide companies, which are implementing SBCE processes throughout their lean product development journey. Physics-based ToCs will facilitate accurate decision-making in comparing and narrowing down the design-set through the provision of the right knowledge environment. SBCE is a useful approach to develop a new product. It is essential to provide the right knowledge environment in a quick and visual manner which has been addressed by demonstrating physics knowledge in ToCs. Therefore, a systematic process has been developed and presented in this paper. The research found that physics-based ToCs could help to identify different physics characteristics of the product in the form of design parameters and visualise in a single graph for all stakeholders to understand without a need for an extensive engineering background and for designers to make a decision faster.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2021-08-24
      DOI: 10.1108/IJLSS-10-2016-0061
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Monitoring of overall equipment effectiveness by multivariate statistical
           process control

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      Authors: Imane Mjimer , ES-Saadia Aoula , EL Hassan Achouyab
      Abstract: This study aims to monitor the overall equipment effectiveness (OEE) indicator that is one of the best indicators used to monitor the performance of the company by the multivariate control chart. To improve continually the performance of a company, many research studies tend to apply Lean six sigma approach. It is one of the best ways used to reduce the variability in the process by using the univariate control chart to know the trend of the variable and make the action before process deviation. Nevertheless, and when the need is to monitor two or more correlated characteristics simultaneously, the univariate control chart will be unable to do it, and the multivariate control chart will be the best way to successfully monitor the correlated characteristics. For this study, the authors have applied the multivariate control chart to control the OEE performance rate which is composed by the quality rate, performance rate and availability rate, and the relative work from which the authors have adopted the same methodology (Hadian and Rahimifard, 2019) was done for project monitoring, which is done by following different indicators such as cost, and time; the results of this work shows that by applying this tool, all project staff can meet the project timing with the cost already defined at the beginning of the project. The idea of monitoring the OEE rate comes because the OEE contains the three correlated indicators, we can’t do the monitoring of the OEE just by following one of the three because data change and if today we have the performance and quality rate are stable, and the availability is not, tomorrow we can another indicator impacted and, in this case, the univariate control chart can’t response to our demand. That’s why we have choose the multivariate control chart to prevent the trend of OEE performance rate. Otherwise, and according to production planning work, they try to prevent the downtime by switching to other references, but after applying the OEE monitoring using the multivariate control chart, the company can do the monitoring of his ability to deliver the good product at time to meet customer demand. The application was done per day, it will be good to apply it per shift in order to have the ability to take the fast reaction in case of process deviation. The other perspective point we can have is to supervise the process according to the control limits found and see if the process still under control after the implementation of the Multivariate control chart at the OEE Rate and if we still be able to meet customer demand in terms of Quantity and Quality of the product by preventing the process deviation using multivariate control chart. The implication of this work is to provide to the managers the trend of the performance of the workshop by measuring the OEE rate and by following if the process still under control limits, if not the reaction plan shall be established before the process become out of control. The OEE indicator is one of the effective indicators used to monitor the ability of the company to produce good final product, and the monitoring of this indicator will give the company a visibility of the trend of performance. For this reason, the authors have applied the multivariate control chart to supervise the company performance. This indicator is composed by three different rates: quality, performance and availability rate, and because this tree rates are correlated, the authors have tried to search the best tool which will give them the possibility to monitor the OEE rate. After literature review, the authors found that many works have used the multivariate control chart, especially in the field of project: to monitor the time and cost simultaneously. After that, the authors have applied the same approach to monitor the OEE rate which has the same objective : to monitor the quality, performance and availability rate in the same time.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2021-07-26
      DOI: 10.1108/IJLSS-12-2020-0218
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Addressing critical failure factors and barriers in implementing Lean Six
           Sigma in Italian public hospitals

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      Authors: Giuliano Marolla , Angelo Rosa , Felice Giuliani
      Abstract: During the past few decades, Lean Six Sigma (LSS) in the health-care sector has received increasing attention from both researchers and practitioners because it plays an imperative role in quality improvement and cost reduction initiatives. Although researchers have often focussed on evidence of model effectiveness through the study of performance indicators, too little attention has been given to the factors that lead to implementation failure and the causal relationships among them. This study aims to investigate the factors that may inhibit the successful implementation of the method by focussing on Italian public hospitals. Through the use of the Delphi technique and fuzzy cognitive maps, this paper derives new and relevant results for researchers, hospital managers and policymakers. The results show the factors with the greatest impact on LSS implementation and provide insight into the causal links and degrees of influence between critical failure factors and performance variables. The findings could be considered useful, in particular, to hospital managers and policymakers, who could leverage the suggestions derived from the study to address LSS implementation. This work overcomes a gap in the literature related to the absence of studies on the causal relationships between factors that determine the success or failure of LSS implementation.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2021-12-13
      DOI: 10.1108/IJLSS-01-2021-0018
      Issue No: Vol. 13 , No. 3 (2021)
       
  • Transportation performance improvement through lean thinking
           implementation

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      Authors: Berty Argiyantari , Togar Mangihut Simatupang , Mursyid Hasan Basri
      Abstract: The application of lean thinking in the transportation industry provides opportunities to streamline operations with a value-added orientation. Prior literature shows evidence of limited application of lean thinking in the transportation operations of the pharmaceutical industry. This study aims to close this research gap by investigating the application of lean thinking for improving pharmaceutical transportation performance. This study conducted an action research approach at an Indonesian pharmaceutical distribution company. One cycle in one year was analyzed; empirical data were collected and analyzed through direct observations, interviews and the study of company data and documentation. The application of lean thinking in waste elimination allowed the delivered project to achieve a remarkable 40% reduction in overall transportation costs, 75% reduction in total lead time, 200% improvement in truck productivity and 100% improvement in truckload capacity utilization. This study can guide the pharmaceutical industry toward achieving excellence in transportation operations through lean thinking implementation. There has been limited research on this topic, and this study is the first attempt to generate new and significant evidence of a real-life application of lean thinking within the field of pharmaceutical transportation.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2021-11-22
      DOI: 10.1108/IJLSS-06-2020-0075
      Issue No: Vol. 13 , No. 3 (2021)
       
  • State of the art review on Industry 4.0 in manufacturing with the focus on
           automotive sector

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      Authors: Vishal Ashok Wankhede , S. Vinodh
      Abstract: The manufacturing domain presently focusing on Industry 4.0 (I4.0). One such domain is the automotive sector. The purpose of this study is to analyse the I4.0 research studies with a focus on the automotive sector using a systematic literature review (SLR). This paper presents a SLR of previous studies on I4.0 characteristics from its inception to performance measures focusing on the automotive sector. A total of 90 papers published in reputed journals during 2014–2020 were collected from major publishers, namely, Elsevier, Springer, Taylor and Francis, Emerald, Institute of Electrical and Electronics, MDPI, etc. The findings of the study provided vital insights on various perspectives of I4.0 in an automotive organization. Moreover, this systematic analysis would help the automotive industry policymakers in implementing I4.0 in an organization. Based on the SLR, a conceptual framework is established to guide industry practitioners towards I4.0 implementation. The review findings could be used to carry out future studies in assessing the readiness of I4.0 in the organization with the help of a survey. The limitation of the study is in the adoption of the sampling approach. In the present study, conference papers and refereed journals have been considered based on the relevance of I4.0 in the automotive industry. As I4.0 is a growing concept, non-refereed articles, book chapters and white papers may cover practical aspects regarding I4.0 implementation that need to be considered for depth analysis. Moreover, the framework needs to be validated with various automotive industries for ensuring practical validity. The unique contribution of the study is the SLR of I4.0 in manufacturing with a focus on the automotive sector.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2021-10-24
      DOI: 10.1108/IJLSS-05-2021-0101
      Issue No: Vol. 13 , No. 3 (2021)
       
  • An empirical investigation of the role of lean six sigma practices on
           quality performance in medical device manufacturing industry

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      Authors: Choon Ling Sim , Zeyun Li , Francis Chuah , Yi Jin Lim , Kit Yeng Sin
      Abstract: With the growing pressure to gain optimum level of quality and speed, Lean Six Sigma (LSS) practices have drawn considerable attention as a viable alternative for process improvement. However, previous studies revealed that there is very little systematic and rigorous research to validate the claims. In this regard, this paper aims to empirically examine the effect of LSS practices on quality performance in the medical device manufacturing industry. For this study, partial least square–based structural equation modeling (PLS-SEM) was used to empirically examine the effect of LSS practices on quality performance in Malaysian medical device manufacturing industry. The findings of this paper revealed that LSS practices have a significant and positive effect on quality performance in the medical device manufacturing industry. This paper will serve as a valuable implication for industry practitioners in providing them with a clearer managerial direction to exploit the strength of LSS practices to achieve company’s quality goals. Moreover, this study will serve as a basis for future LSS scholars, providing them with valuable insights and directions for future research. This paper develops a conceptual LSS framework that captures the integrated nature of two methodologies and provides empirical evidence that supports the positive influence of LSS practices on quality performance; hence, it contributes to the growing body of LSS literature in both theoretical and empirical sense.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2021-10-22
      DOI: 10.1108/IJLSS-06-2020-0089
      Issue No: Vol. 13 , No. 3 (2021)
       
  • Barriers for Lean implementation in the textile industry

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      Authors: Galina Robertsone , Iveta Mezinska , Inga Lapina
      Abstract: The fundamentals of Lean are applicable and can be used in any industry, even non-profit and government organizations, however, there might be certain limitations due to the nature and the specifics of the industry. This study aims to explore what barriers of Lean implementation textile manufacturers might encounter. The authors consider the problem is worth to be explored for the potential to improve the effectiveness of Lean implementation in textile sector companies. This research was conducted by using qualitative content analysis with open coding of the selected literature followed by empirical research in a Latvian textile manufacturing company. The presented literature review shows Lean implementation barriers and critical success factors in various industries. The findings from the case study can be divided into two groups. The first confirmed the barriers already identified in the previous research. The second identified industry specific implementation barriers that were not recognized in the related literature. The original research was limited in scope to one Latvian textile manufacturer, therefore future studies on the subject to confirm the outcome of the research are required. There is a limited number of studies on the application of Lean in the textile and apparel industry. The literature on Lean implementation in the Latvian manufacturing sector is also limited. The results of this research may have a practical application for textile manufactures considering implementing Lean in their processes.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2021-09-24
      DOI: 10.1108/IJLSS-12-2020-0225
      Issue No: Vol. 13 , No. 3 (2021)
       
  • Process mining and lean six sigma: a novel approach to analyze the supply
           chain quality of a hospital

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      Authors: Francisco Ramires , Paulo Sampaio
      Abstract: This paper aims to depict the practical execution of the problem-solving structure provided by the define, measure, analyze, improve and control (DMAIC) framework in combination with the analytical power provided by process mining capabilities, to improve the supply chain quality of a health-care provider. Prior to the study, a literature review was conducted to identify existing frameworks combining six sigma with process mining. The authors use a descriptive case study approach to explain how the two methodologies blend across the different phases of DMAIC in a health-care setting. This case study describes how analyzing data extracted from core information systems has significant value to improvement initiatives when complemented by traditional quality methods. By intersecting process mining techniques with lean six sigma tools, the researchers found 65% of orders not complying with the target ordering time and 200 redundant purchases with high operational costs. By depicting how the two methodologies can be intertwined, this paper complements existing research by presenting it as a viable quality improvement approach. This paper provides insights for six sigma and process mining practitioners on the benefits of combining both methodologies within the DMAIC structure. Implementing this blended approach can bring visibility to operations and accelerate process improvement initiatives. The prime value of this paper lies in the integration of traditional six sigma methods with process mining as a technological approach in a health-care context, going beyond existing research, which, to the best of the knowledge, lacks descriptive case studies.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2021-08-17
      DOI: 10.1108/IJLSS-12-2020-0226
      Issue No: Vol. 13 , No. 3 (2021)
       
  • Prospect of lean practices towards construction supply chain management
           trends

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      Authors: Phuoc Luong Le , Nguyen Thi Duc Nguyen
      Abstract: To deal with the present situation and recover after the COVID-19 pandemic, construction firms are required to recognise the trends in construction supply chain management (CSCM) for the upcoming years and determine the appropriate practices towards the trends for the improvement of construction activities in terms of strategy, tactic and operations. This paper aims to recognise key trends in CSCM and uses these trends as strategic criteria for the evaluation and prioritisation of lean construction (LC) tools at different project phases including design and architectural engineering, planning and control, on-site construction and safety management. The integrated analytic hierarchy process–Delphi method is used to collect and analyse the data from construction experts to evaluate the importance levels of the CSCM trends and recommend the appropriate tools for LC practices to improve project performances. Seven key CSCM trends are identified: lean supply chain management (SCM), supply chain (SC) integration, SC standardisation, SC problem-solving, SC information-sharing, SC flexibility and SC sustainability. Based on these trends, a set of prioritised lean tools are suggested for LC practices, in which “virtual design construction” (VDC) and “last planner system” are considered as the central tools. These two LC practices can be integrated with other effective tools to support the strategic, tactical and operational targets in construction supply chain (CSC) projects. This study gives the managerial implications by developing an application framework of LC practices for CSC projects. The framework promotes “VDC” as a strategic tool for the phase of design and architectural engineering and considers “last planner system” as the central LC practice for the phase of project planning and control. The framework also focuses on the improvement of efficiency in construction operations by taking into account the aspects of on-site collaboration, problem-solving, improvement and safety. Up to date, there is still a lack of researches in classifying and prioritising the significant LC tools for each project phase to deal with CSC issues in both breadth and depth. Thus, this study is performed to provide construction managers with the awareness of CSCM trends on which they can focus to have strategic criteria for selecting LC practices to improve CSC performances.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2021-07-09
      DOI: 10.1108/IJLSS-06-2020-0071
      Issue No: Vol. 13 , No. 3 (2021)
       
  • A systematic literature review of lean manufacturing implementation in
           manufacturing-based sectors of the developing and developed countries

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      Authors: Catherine Maware , Modestus Okechukwu Okwu , Olufemi Adetunji
      Abstract: This study aims to comparatively discuss the effect of lean manufacturing (LM) implementation in the manufacturing sectors of developing and developed countries. An in-depth literature review focused on previous research published between 2015 and March 2020. The papers published by the databases such as Google Scholar, Scopus, ProQuest and Web of Science were used in the study. A total of 63 studies that focused on LM application in manufacturing industries in developing and developed countries were used in the research. It was observed that LM improves operational performance for manufacturing organizations in developing and developed countries. Small and medium-sized enterprises in both developed and developing countries have difficulties transforming their organizations into lean organizations compared to large enterprises. Furthermore, the review also found that there seems to have been no paper had reported the negative impact of implementing LM in manufacturing industries in developing and developed countries from 2015 to March 2020. The study used research papers written between January 2015 and March 2020 and only considered manufacturing organizations from developed and developing nations. The study provides more insight into LM implementation in developing and developed countries. It gives the LM practices and the implications of applying these practices in manufacturing organizations for developing and developed countries. A preliminary review of papers indicated that this seems to be the first paper that comparatively studies how LM implementation has affected manufacturing organizations in developed and developing countries. The study also assessed the LM practices commonly used by the manufacturing industries in developing and developed countries.
      Citation: International Journal of Lean Six Sigma
      PubDate: 2021-06-28
      DOI: 10.1108/IJLSS-12-2020-0223
      Issue No: Vol. 13 , No. 3 (2021)
       
  • International Journal of Lean Six Sigma

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