Pub Date : 2023-03-03DOI: 10.1108/ijlss-06-2022-0126
Amy B. C. Tan, Desirée H. van Dun, C. Wilderom
Purpose With the growing need for employees to be innovative, public-sector organizations are investing in employee training. This study aims to examine the effects of a combined Lean Six Sigma and innovation training, using action learning, on public-sector employees’ creative role identity and innovative work behavior. Design/methodology/approach The authors studied a public service agency in Singapore in which a five-day Lean Innovation Training was implemented, using a combination of Lean Six Sigma and Creative Problem-Solving tools, with a simulation on day one and subsequent team-based project coaching, spread over six months. The authors administered pre- and postintervention surveys among all the employees, and initiated group interviews and observations before, during and after the intervention. Findings Creative role identity and innovative work behavior had significantly improved six months after the intervention, enabled through senior management’s transformational leadership. The training induced managers to role-model innovative work behaviors while cocreating, with their employees, a renewal of their agency’s core processes. The three completed improvement projects contributed to an innovative work culture and reduced service turnaround time. Originality/value Starting with a role-playing simulation on the first day, during which leaders and followers swapped roles, the action-learning type training taught all the organizational members to use various Lean Six Sigma and Creative Problem-Solving tools. This nimble Lean Innovation Training, and subsequent team-based project coaching, exemplifies how advancing the staff’s creative role identity can have a positive impact.
{"title":"Lean innovation training and transformational leadership for employee creative role identity and innovative work behavior in a public service organization","authors":"Amy B. C. Tan, Desirée H. van Dun, C. Wilderom","doi":"10.1108/ijlss-06-2022-0126","DOIUrl":"https://doi.org/10.1108/ijlss-06-2022-0126","url":null,"abstract":"\u0000Purpose\u0000With the growing need for employees to be innovative, public-sector organizations are investing in employee training. This study aims to examine the effects of a combined Lean Six Sigma and innovation training, using action learning, on public-sector employees’ creative role identity and innovative work behavior.\u0000\u0000\u0000Design/methodology/approach\u0000The authors studied a public service agency in Singapore in which a five-day Lean Innovation Training was implemented, using a combination of Lean Six Sigma and Creative Problem-Solving tools, with a simulation on day one and subsequent team-based project coaching, spread over six months. The authors administered pre- and postintervention surveys among all the employees, and initiated group interviews and observations before, during and after the intervention.\u0000\u0000\u0000Findings\u0000Creative role identity and innovative work behavior had significantly improved six months after the intervention, enabled through senior management’s transformational leadership. The training induced managers to role-model innovative work behaviors while cocreating, with their employees, a renewal of their agency’s core processes. The three completed improvement projects contributed to an innovative work culture and reduced service turnaround time.\u0000\u0000\u0000Originality/value\u0000Starting with a role-playing simulation on the first day, during which leaders and followers swapped roles, the action-learning type training taught all the organizational members to use various Lean Six Sigma and Creative Problem-Solving tools. This nimble Lean Innovation Training, and subsequent team-based project coaching, exemplifies how advancing the staff’s creative role identity can have a positive impact.\u0000","PeriodicalId":48601,"journal":{"name":"International Journal of Lean Six Sigma","volume":" ","pages":""},"PeriodicalIF":4.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49207958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-28DOI: 10.1108/ijlss-03-2022-0059
Ya-Nan Fang, S. Gao, Yanwu Jiang, Shuquan Li
Purpose Building information modelling (BIM), lean construction (LC) and prefabricated housing construction (PHC) have individually aroused great attention from academia and industry. However, the integration of LC and BIM in PHC projects has not been sufficiently explored. This study aims to assess the current status of the implementation of BIM and LC in China’s PHC sector given, firstly, that China is a developing country characterised by the world’s largest population and a huge housing market, and secondly, that although China’s PHC is strongly supported by the government, the adoption of BIM and LC in PHC varies. Design/methodology/approach A mixed approach (questionnaire survey and interviews) is adopted in this study. A total of 127 valid questionnaires were collected. This is followed by interviewing 12 interviewees who are key stakeholders in PHC and hold managerial positions. Findings The findings of the questionnaire survey show that BIM is more prevalent than LC in PHC projects in China. In addition, the adoption of LC exhibits more maturity in stages associated with production and manufacturing, and logistics and transportation, whereas BIM has seen wider adoption in design and construction. The interviews validated the factors that influence the implementation of BIM and LC in PHC projects in China. Originality/value The study uses a strengths, weaknesses, opportunities and threats analysis framework to clarify the opportunities, threats, strengths and weaknesses of BIM and LC in China’s PHC and proposes strategies.
{"title":"BIM and lean construction in prefabricated housing construction in China","authors":"Ya-Nan Fang, S. Gao, Yanwu Jiang, Shuquan Li","doi":"10.1108/ijlss-03-2022-0059","DOIUrl":"https://doi.org/10.1108/ijlss-03-2022-0059","url":null,"abstract":"\u0000Purpose\u0000Building information modelling (BIM), lean construction (LC) and prefabricated housing construction (PHC) have individually aroused great attention from academia and industry. However, the integration of LC and BIM in PHC projects has not been sufficiently explored. This study aims to assess the current status of the implementation of BIM and LC in China’s PHC sector given, firstly, that China is a developing country characterised by the world’s largest population and a huge housing market, and secondly, that although China’s PHC is strongly supported by the government, the adoption of BIM and LC in PHC varies.\u0000\u0000\u0000Design/methodology/approach\u0000A mixed approach (questionnaire survey and interviews) is adopted in this study. A total of 127 valid questionnaires were collected. This is followed by interviewing 12 interviewees who are key stakeholders in PHC and hold managerial positions.\u0000\u0000\u0000Findings\u0000The findings of the questionnaire survey show that BIM is more prevalent than LC in PHC projects in China. In addition, the adoption of LC exhibits more maturity in stages associated with production and manufacturing, and logistics and transportation, whereas BIM has seen wider adoption in design and construction. The interviews validated the factors that influence the implementation of BIM and LC in PHC projects in China.\u0000\u0000\u0000Originality/value\u0000The study uses a strengths, weaknesses, opportunities and threats analysis framework to clarify the opportunities, threats, strengths and weaknesses of BIM and LC in China’s PHC and proposes strategies.\u0000","PeriodicalId":48601,"journal":{"name":"International Journal of Lean Six Sigma","volume":" ","pages":""},"PeriodicalIF":4.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44687449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-28DOI: 10.1108/ijlss-02-2022-0049
Gülçin BİLGİN TURNA
Purpose This study aims to demonstrate the application of Lean Six Sigma (LSS) at a stainless steel manufacturer in Türkiye for yield improvement. Design/methodology/approach A qualitative approach consisting of a single descriptive case study was adopted. Both primary and secondary sources were used. The interviews were conducted with the Six Sigma team. In addition, an in-depth review of the project documents was conducted. The “define, measure, analyze, improve and control (DMAIC)” phases were explained by examining the tables, facts and figures. The company’s downgraded rate owing to defective materials was 0.21%. Root causes were detected in the tension unit, carpet cleaning, coating unit, film surface and cleaning of the rolls. Therefore, improvements were taken accordingly. Findings The rolled throughput yield was 99.05%, and the defect rate was reduced to 0.08% after implementing LSS, which provided statistically proven results and a direct reflection on customer satisfaction. Originality/value To the best of the author’s knowledge, this is the first case study examining the application of LSS to improve the yield of a medium-sized stainless steel company in Türkiye.
{"title":"Application of lean six sigma for yield improvement in the stainless steel industry: a recipe from Türkiye","authors":"Gülçin BİLGİN TURNA","doi":"10.1108/ijlss-02-2022-0049","DOIUrl":"https://doi.org/10.1108/ijlss-02-2022-0049","url":null,"abstract":"\u0000Purpose\u0000This study aims to demonstrate the application of Lean Six Sigma (LSS) at a stainless steel manufacturer in Türkiye for yield improvement.\u0000\u0000\u0000Design/methodology/approach\u0000A qualitative approach consisting of a single descriptive case study was adopted. Both primary and secondary sources were used. The interviews were conducted with the Six Sigma team. In addition, an in-depth review of the project documents was conducted. The “define, measure, analyze, improve and control (DMAIC)” phases were explained by examining the tables, facts and figures. The company’s downgraded rate owing to defective materials was 0.21%. Root causes were detected in the tension unit, carpet cleaning, coating unit, film surface and cleaning of the rolls. Therefore, improvements were taken accordingly.\u0000\u0000\u0000Findings\u0000The rolled throughput yield was 99.05%, and the defect rate was reduced to 0.08% after implementing LSS, which provided statistically proven results and a direct reflection on customer satisfaction.\u0000\u0000\u0000Originality/value\u0000To the best of the author’s knowledge, this is the first case study examining the application of LSS to improve the yield of a medium-sized stainless steel company in Türkiye.\u0000","PeriodicalId":48601,"journal":{"name":"International Journal of Lean Six Sigma","volume":" ","pages":""},"PeriodicalIF":4.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47544339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-27DOI: 10.1108/ijlss-03-2022-0069
Sameer Kumar, Yogesh Marawar, G. Soni, V. Jain, A. Gurumurthy, R. Kodali
Purpose Lean manufacturing (LM) is prevalent in the manufacturing industry; thus, focusing on fast and accurate lean tool implementation is the new paradigm in manufacturing. Value stream mapping (VSM) is one of the many LM tools. It is understood that combining LM implementation with VSM tools can generate better outcomes. This paper aims to develop an expert system for optimal sequencing of VSM tools for lean implementation. Design/methodology/approach A proposed artificial neural network (ANN) model is based on the analytic network process (ANP) devised for this study. It will facilitate the selection of VSM tools in an optimal sequence. Findings Considering different types of wastes and their level of occurrence, organizations need a set of specific tools that will be effective in the elimination of these wastes. The developed ANP model computes a level of interrelation between wastes and VSM tools. The ANN is designed and trained by data obtained from numerous case studies, so it can predict the accurate sequence of VSM tools for any new case data set. Originality/value The design and use of the ANN model provide an integrated result of both empirical and practical cases, which is more accurate because all viable aspects are then considered. The proposed modeling approach is validated through implementation in an automobile manufacturing company. It has resulted in benefits, namely, reduction in bias, time required, effort required and complexity of the decision process. More importantly, according to all performance criteria and subcriteria, the main goal of this research was satisfied by increasing the accuracy of selecting the appropriate VSM tools and their optimal sequence for lean implementation.
{"title":"A hybrid approach to enhancing the performance of manufacturing organizations by optimal sequencing of value stream mapping tools","authors":"Sameer Kumar, Yogesh Marawar, G. Soni, V. Jain, A. Gurumurthy, R. Kodali","doi":"10.1108/ijlss-03-2022-0069","DOIUrl":"https://doi.org/10.1108/ijlss-03-2022-0069","url":null,"abstract":"\u0000Purpose\u0000Lean manufacturing (LM) is prevalent in the manufacturing industry; thus, focusing on fast and accurate lean tool implementation is the new paradigm in manufacturing. Value stream mapping (VSM) is one of the many LM tools. It is understood that combining LM implementation with VSM tools can generate better outcomes. This paper aims to develop an expert system for optimal sequencing of VSM tools for lean implementation.\u0000\u0000\u0000Design/methodology/approach\u0000A proposed artificial neural network (ANN) model is based on the analytic network process (ANP) devised for this study. It will facilitate the selection of VSM tools in an optimal sequence.\u0000\u0000\u0000Findings\u0000Considering different types of wastes and their level of occurrence, organizations need a set of specific tools that will be effective in the elimination of these wastes. The developed ANP model computes a level of interrelation between wastes and VSM tools. The ANN is designed and trained by data obtained from numerous case studies, so it can predict the accurate sequence of VSM tools for any new case data set.\u0000\u0000\u0000Originality/value\u0000The design and use of the ANN model provide an integrated result of both empirical and practical cases, which is more accurate because all viable aspects are then considered. The proposed modeling approach is validated through implementation in an automobile manufacturing company. It has resulted in benefits, namely, reduction in bias, time required, effort required and complexity of the decision process. More importantly, according to all performance criteria and subcriteria, the main goal of this research was satisfied by increasing the accuracy of selecting the appropriate VSM tools and their optimal sequence for lean implementation.\u0000","PeriodicalId":48601,"journal":{"name":"International Journal of Lean Six Sigma","volume":" ","pages":""},"PeriodicalIF":4.0,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49362614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-20DOI: 10.1108/ijlss-05-2022-0102
Selim Ahmed, Shatha Hawarna, Ibrahim Alqasmi, Dewan Mehrab Ashrafi, Muhammad Khalilur Rahman
Purpose This study aims to investigate the mediating role of lean management on the relationship between workforce management and value-added time in private hospitals. This study also investigates the direct influences of workforce management and lean management on the value-added time of the hospitals. Design/methodology/approach This study applied a quantitative approach to obtain data from the private hospitals’ staff in Peninsular Malaysia. A self-administered survey questionnaire was used to collect data from 287 hospital staff using a stratified random sampling method. The partial least squares structural equation modeling (PLS-SEM) approach was used to determine the internal consistency, reliability, validity of the constructs. The PLS-SEM method was also used to test the hypothesised research model via SmartPLS 3.3.4 version. Findings The findings of the study indicate that lean management has a direct and significant effect on the value-added time of private hospitals. The findings also revealed that lean management significantly mediates the relationship between workforce management and value-added time in private hospitals. The analysis of the results indicates that both workforce and lean management have a significant impact on the value-added time of the hospitals. Practical implications This study provides empirical contributions to enhance the quality of workforce management, lean management and value-added time. The findings of this study provide valuable insights into how effectively managing the workforce and providing guidelines to augment the lean management practices can ensure value-added time in Malaysian hospitals and the overall health-care industry. The lean management framework provides useful insights for the policymakers to understand the significance of workforce management, lean management on ensuring value-added time through reducing waiting times, unnecessary delays, generating a higher degree of patient safety, satisfaction and loyalty. Originality/value The research findings provide some essential indications for the health-care service providers to understand how the lean management approach can be implemented to enhance value-added time and how lean management can play a mediating role in creating a link between workforce management and value-added time in hospitals. This study also contributes to the theoretical and practical perspectives. The present study contributes to a better understanding of workforce management and lean management in health-care sectors from theoretical and practical perspectives.
{"title":"Mediating role of lean management on the effects of workforce management and value-added time in private hospitals","authors":"Selim Ahmed, Shatha Hawarna, Ibrahim Alqasmi, Dewan Mehrab Ashrafi, Muhammad Khalilur Rahman","doi":"10.1108/ijlss-05-2022-0102","DOIUrl":"https://doi.org/10.1108/ijlss-05-2022-0102","url":null,"abstract":"\u0000Purpose\u0000This study aims to investigate the mediating role of lean management on the relationship between workforce management and value-added time in private hospitals. This study also investigates the direct influences of workforce management and lean management on the value-added time of the hospitals.\u0000\u0000\u0000Design/methodology/approach\u0000This study applied a quantitative approach to obtain data from the private hospitals’ staff in Peninsular Malaysia. A self-administered survey questionnaire was used to collect data from 287 hospital staff using a stratified random sampling method. The partial least squares structural equation modeling (PLS-SEM) approach was used to determine the internal consistency, reliability, validity of the constructs. The PLS-SEM method was also used to test the hypothesised research model via SmartPLS 3.3.4 version.\u0000\u0000\u0000Findings\u0000The findings of the study indicate that lean management has a direct and significant effect on the value-added time of private hospitals. The findings also revealed that lean management significantly mediates the relationship between workforce management and value-added time in private hospitals. The analysis of the results indicates that both workforce and lean management have a significant impact on the value-added time of the hospitals.\u0000\u0000\u0000Practical implications\u0000This study provides empirical contributions to enhance the quality of workforce management, lean management and value-added time. The findings of this study provide valuable insights into how effectively managing the workforce and providing guidelines to augment the lean management practices can ensure value-added time in Malaysian hospitals and the overall health-care industry. The lean management framework provides useful insights for the policymakers to understand the significance of workforce management, lean management on ensuring value-added time through reducing waiting times, unnecessary delays, generating a higher degree of patient safety, satisfaction and loyalty.\u0000\u0000\u0000Originality/value\u0000The research findings provide some essential indications for the health-care service providers to understand how the lean management approach can be implemented to enhance value-added time and how lean management can play a mediating role in creating a link between workforce management and value-added time in hospitals. This study also contributes to the theoretical and practical perspectives. The present study contributes to a better understanding of workforce management and lean management in health-care sectors from theoretical and practical perspectives.\u0000","PeriodicalId":48601,"journal":{"name":"International Journal of Lean Six Sigma","volume":" ","pages":""},"PeriodicalIF":4.0,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42660685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-13DOI: 10.1108/ijlss-08-2022-0191
M. Altug
Purpose The purpose of this study was conducted at an enterprise that produces fasteners and is one of the leading companies in the sector in terms of market share. Possible defects in the coating of bolts and nuts either lead to products being scrapped or all of the coating process being repeated from beginning to end. In both cases, the enterprise faces a waste of time and excessive costs. Through this project, the six sigma theory and its means were effectively used to improve the efficiency and quality management of the company. The selection of the six sigma project has also contributed to the creation of various documents to be used for project screening and evaluation of financial results. Design/methodology/approach Six sigma is an optimization strategy that is used to improve the profitability of businesses, avoid waste, scrap and losses, reduce costs and improve the effectiveness of all activities to meet or exceed customers’ needs and expectations. Six sigma’s process improvement model, known as Definition-Measurement-Analysis-Improvement-Control, contributes to the economic and technical achievements of businesses. The normal distribution of a process should be within ±3 sigma of the mean. This represents a scale of 99.7% certainty. However, improving the process through the utilization of the six sigma rule, which accepts normal variabilities of processes twice as strict, will result in an error rate of 3.4 per million instead of 2,700 per million for each product or service. Findings Using six sigma practices to reduce the costs associated with low quality and to increase economic added value became a cultural practice. With this, the continuation of six sigma practices throughout the Company was intended. The annual cost reduction achieved with the utilization of six sigma practices can be up to $21,780. When time savings are also considered, a loss reduction of about $30,000 each year can be achieved. The coating thickness efficiency increased from 85% to 95% after the improvements made through the six sigma project. There is a significant increase in the efficiency of coating thickness. In addition, the coating thickness efficiency is also close to the target value of 95%–97%. Originality/value The results of the study were optimized with the help of deep learning. The performance of the model created in deep learning was quite close to the actual performance. This result implicates the validity of the improvement work. The results may act as a guide for the use of deep learning in new projects.
{"title":"Application of six sigma through deep learning in the production of fasteners","authors":"M. Altug","doi":"10.1108/ijlss-08-2022-0191","DOIUrl":"https://doi.org/10.1108/ijlss-08-2022-0191","url":null,"abstract":"\u0000Purpose\u0000The purpose of this study was conducted at an enterprise that produces fasteners and is one of the leading companies in the sector in terms of market share. Possible defects in the coating of bolts and nuts either lead to products being scrapped or all of the coating process being repeated from beginning to end. In both cases, the enterprise faces a waste of time and excessive costs. Through this project, the six sigma theory and its means were effectively used to improve the efficiency and quality management of the company. The selection of the six sigma project has also contributed to the creation of various documents to be used for project screening and evaluation of financial results.\u0000\u0000\u0000Design/methodology/approach\u0000Six sigma is an optimization strategy that is used to improve the profitability of businesses, avoid waste, scrap and losses, reduce costs and improve the effectiveness of all activities to meet or exceed customers’ needs and expectations. Six sigma’s process improvement model, known as Definition-Measurement-Analysis-Improvement-Control, contributes to the economic and technical achievements of businesses. The normal distribution of a process should be within ±3 sigma of the mean. This represents a scale of 99.7% certainty. However, improving the process through the utilization of the six sigma rule, which accepts normal variabilities of processes twice as strict, will result in an error rate of 3.4 per million instead of 2,700 per million for each product or service.\u0000\u0000\u0000Findings\u0000Using six sigma practices to reduce the costs associated with low quality and to increase economic added value became a cultural practice. With this, the continuation of six sigma practices throughout the Company was intended. The annual cost reduction achieved with the utilization of six sigma practices can be up to $21,780. When time savings are also considered, a loss reduction of about $30,000 each year can be achieved. The coating thickness efficiency increased from 85% to 95% after the improvements made through the six sigma project. There is a significant increase in the efficiency of coating thickness. In addition, the coating thickness efficiency is also close to the target value of 95%–97%.\u0000\u0000\u0000Originality/value\u0000The results of the study were optimized with the help of deep learning. The performance of the model created in deep learning was quite close to the actual performance. This result implicates the validity of the improvement work. The results may act as a guide for the use of deep learning in new projects.\u0000","PeriodicalId":48601,"journal":{"name":"International Journal of Lean Six Sigma","volume":" ","pages":""},"PeriodicalIF":4.0,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42932982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-13DOI: 10.1108/ijlss-05-2022-0099
Torbjørn Hekneby, Daryl Powell
Purpose This study aims to investigate the impact of a company-specific lean program (a so-called company-specific production system [XPS]) on the company’s financial performance. This study analyzes data from the implementation of XPS in multiple plants of a multinational corporation and examines the results through an organizational learning lens. Design/methodology/approach This study adopts a longitudinal single-case design to investigate a Norwegian multinational company in the process industry, producing silicon for the global market. The company has developed, implemented and institutionalized its own XPS since 1991. The program has directly contributed to extensive cost reduction and significantly strengthened the organization’s competitive position. Findings The findings of this study show a link between organizational learning and the improvement of financial results in the organization. This study presents a sand cone model that illustrates how the development and deployment of an XPS through individual- and orchestrated learning subsequently created a common platform for institutionalized learning within and across the multinational organization. This organizational learning capability managed to tie the company’s continuous improvement efforts directly to the improvement of cost levels throughout the value chain. Practical implications The practical implications of this work are significant, as this study uncovers the importance for managers to consider both individual-, orchestrated- and institutionalized learning (within and across a multinational network) when designing and implementing XPS to drive the improvement of an organization’s financial performance. Originality/value Documenting the financial impact of such programs is a common challenge. Therefore, the insights presented in this research are of value to both researchers and practitioners, in particular, managers and executives in large multinational organizations.
{"title":"The financial implications of XPS: an organizational learning perspective","authors":"Torbjørn Hekneby, Daryl Powell","doi":"10.1108/ijlss-05-2022-0099","DOIUrl":"https://doi.org/10.1108/ijlss-05-2022-0099","url":null,"abstract":"\u0000Purpose\u0000This study aims to investigate the impact of a company-specific lean program (a so-called company-specific production system [XPS]) on the company’s financial performance. This study analyzes data from the implementation of XPS in multiple plants of a multinational corporation and examines the results through an organizational learning lens.\u0000\u0000\u0000Design/methodology/approach\u0000This study adopts a longitudinal single-case design to investigate a Norwegian multinational company in the process industry, producing silicon for the global market. The company has developed, implemented and institutionalized its own XPS since 1991. The program has directly contributed to extensive cost reduction and significantly strengthened the organization’s competitive position.\u0000\u0000\u0000Findings\u0000The findings of this study show a link between organizational learning and the improvement of financial results in the organization. This study presents a sand cone model that illustrates how the development and deployment of an XPS through individual- and orchestrated learning subsequently created a common platform for institutionalized learning within and across the multinational organization. This organizational learning capability managed to tie the company’s continuous improvement efforts directly to the improvement of cost levels throughout the value chain.\u0000\u0000\u0000Practical implications\u0000The practical implications of this work are significant, as this study uncovers the importance for managers to consider both individual-, orchestrated- and institutionalized learning (within and across a multinational network) when designing and implementing XPS to drive the improvement of an organization’s financial performance.\u0000\u0000\u0000Originality/value\u0000Documenting the financial impact of such programs is a common challenge. Therefore, the insights presented in this research are of value to both researchers and practitioners, in particular, managers and executives in large multinational organizations.\u0000","PeriodicalId":48601,"journal":{"name":"International Journal of Lean Six Sigma","volume":" ","pages":""},"PeriodicalIF":4.0,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48751692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-02DOI: 10.1108/ijlss-05-2022-0103
Imranul Hoque, Malek Maalouf, Moutushi Tanha, Md Shamimul Islam, M. Alam, M. Sarker
Purpose This study aims to explore the challenges in implementing and sustaining lean in garment supplier factories and the buyer–supplier role in mitigating lean barriers in a typical situation and pandemic. Design/methodology/approach Following a qualitative research approach and multiple embedded case study method, data were collected through in-depth interviews with senior managers of one lead buyer and their four key garment supplier factories in Bangladesh. Within and cross-case analysis, techniques were applied to understand the context-oriented lean challenges and buyer–supplier role in mitigating the challenges. Findings The study findings demonstrate that garment suppliers are less prepared and unsystematic in lean implementation having limited capabilities and less preparation. Moreover, they have limited support from buyers, less commitment from top management and employee resistance to implementing lean. Lean challenges become more intense because of the COVID-19 pandemic. However, buyer–supplier responsible, cooperative and collaborative behaviour can mitigate lean challenges. Research limitations/implications Whereas many stakeholders may be responsible for lean challenges, this study explores dyadic role between buyer and supplier only based on a single lead buyer and their four suppliers. Hence future studies could consider more buyers and suppliers for a holistic understanding. Practical implications This study could help buyers and suppliers understand the underlying causes of lean implementation challenges in garment supplier factories and their role in sustaining lean reducing the challenges, particularly in a pandemic. Originality/value To the best of the authors’ knowledge, for the first time, this study depicts how buyer and supplier can play their due roles to mitigate lean challenges in garment supplier factories in a pandemic situation.
{"title":"Implementing and sustaining lean, buyer-supplier role, and COVID-19 pandemic: insights from the garment industry of Bangladesh","authors":"Imranul Hoque, Malek Maalouf, Moutushi Tanha, Md Shamimul Islam, M. Alam, M. Sarker","doi":"10.1108/ijlss-05-2022-0103","DOIUrl":"https://doi.org/10.1108/ijlss-05-2022-0103","url":null,"abstract":"Purpose This study aims to explore the challenges in implementing and sustaining lean in garment supplier factories and the buyer–supplier role in mitigating lean barriers in a typical situation and pandemic. Design/methodology/approach Following a qualitative research approach and multiple embedded case study method, data were collected through in-depth interviews with senior managers of one lead buyer and their four key garment supplier factories in Bangladesh. Within and cross-case analysis, techniques were applied to understand the context-oriented lean challenges and buyer–supplier role in mitigating the challenges. Findings The study findings demonstrate that garment suppliers are less prepared and unsystematic in lean implementation having limited capabilities and less preparation. Moreover, they have limited support from buyers, less commitment from top management and employee resistance to implementing lean. Lean challenges become more intense because of the COVID-19 pandemic. However, buyer–supplier responsible, cooperative and collaborative behaviour can mitigate lean challenges. Research limitations/implications Whereas many stakeholders may be responsible for lean challenges, this study explores dyadic role between buyer and supplier only based on a single lead buyer and their four suppliers. Hence future studies could consider more buyers and suppliers for a holistic understanding. Practical implications This study could help buyers and suppliers understand the underlying causes of lean implementation challenges in garment supplier factories and their role in sustaining lean reducing the challenges, particularly in a pandemic. Originality/value To the best of the authors’ knowledge, for the first time, this study depicts how buyer and supplier can play their due roles to mitigate lean challenges in garment supplier factories in a pandemic situation.","PeriodicalId":48601,"journal":{"name":"International Journal of Lean Six Sigma","volume":" ","pages":""},"PeriodicalIF":4.0,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42865780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-27DOI: 10.1108/ijlss-08-2022-0169
Anna Trubetskaya, Olivia McDermott, Padraig Brophy
Purpose This study aims to propose a tailored Lean Six Sigma framework providing an accessible Lean Six Sigma methodology for compound feed manufacturers with the aim of mitigating rising costs and increasingly complex demands from customers. Design/methodology/approach A Lean Six Sigma framework was designed combining Lean value stream mapping and Six Sigma structured problem-solving with a case study in an Irish compound feed manufacturer. Findings The study found that the Lean Six Sigma implementation framework provided a simplified approach, which fitted the resource availability within compound feed manufacturing. Research limitations/implications The study is limited by the constraints of a sole case study in providing empirical evidence of the effectiveness of the framework. Nevertheless, a conceptual Lean Six Sigma model is proposed, which will assist compound feed manufacturers implementing a continuous improvement approach. Originality/value This paper proposes a simplified approach to the implementation of Lean Six Sigma in agricultural compound feed manufacturers and in small and medium-sized organisations. This is the first such study in Ireland and will add to the body of work on Lean in agriculture and aid other agri-businesses and compound feed manufacturers in understanding how Lean Six Sigma can benefit.
{"title":"Implementing a customised Lean Six Sigma methodology at a compound animal feed manufacturer in Ireland","authors":"Anna Trubetskaya, Olivia McDermott, Padraig Brophy","doi":"10.1108/ijlss-08-2022-0169","DOIUrl":"https://doi.org/10.1108/ijlss-08-2022-0169","url":null,"abstract":"\u0000Purpose\u0000This study aims to propose a tailored Lean Six Sigma framework providing an accessible Lean Six Sigma methodology for compound feed manufacturers with the aim of mitigating rising costs and increasingly complex demands from customers.\u0000\u0000\u0000Design/methodology/approach\u0000A Lean Six Sigma framework was designed combining Lean value stream mapping and Six Sigma structured problem-solving with a case study in an Irish compound feed manufacturer.\u0000\u0000\u0000Findings\u0000The study found that the Lean Six Sigma implementation framework provided a simplified approach, which fitted the resource availability within compound feed manufacturing.\u0000\u0000\u0000Research limitations/implications\u0000The study is limited by the constraints of a sole case study in providing empirical evidence of the effectiveness of the framework. Nevertheless, a conceptual Lean Six Sigma model is proposed, which will assist compound feed manufacturers implementing a continuous improvement approach.\u0000\u0000\u0000Originality/value\u0000This paper proposes a simplified approach to the implementation of Lean Six Sigma in agricultural compound feed manufacturers and in small and medium-sized organisations. This is the first such study in Ireland and will add to the body of work on Lean in agriculture and aid other agri-businesses and compound feed manufacturers in understanding how Lean Six Sigma can benefit.\u0000","PeriodicalId":48601,"journal":{"name":"International Journal of Lean Six Sigma","volume":"1 1","pages":""},"PeriodicalIF":4.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41767278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-27DOI: 10.1108/ijlss-06-2022-0134
B. Mohapatra, S. Tripathy, D. Singhal
Purpose As the COVID-19 epidemic ravages the world in the fourth industrial revolution era, the manufacturing sector faces its worst situation in a century. Lean philosophy, renowned as a “warrior philosophy,” can be an able rescuer to these industries. This study aims to identify the hurdles to lean strategy implementation and conduct an analysis to provide cognizance to policymakers, practitioners and decision-makers. Design/methodology/approach This study aims to identify the obstacles that obstruct lean implementation into seven primary barriers/components, with the fuzzy DEMATEL approach being used to evaluate the critical factors as well as the cause and effect factors among them. Expert opinions are sought to obtain the relevant data for evaluation purposes. Findings The results reveal that a firm should focus on firm cultural conflict scenario, resources–responses incapability, improve on suppliers’ attitude and execute a proper planning and logistics equation to alleviate the hindrances of implementing lean. As these causal factors influence the effect factors, namely, top management vision, management–employee relationship and human resource building, focusing on them automatically improves the effect factors; thus, the surge to overcome resistance to lean implementation is alleviated. Practical implications This research aids in identifying and analyzing lean implementation issues in the manufacturing and industrial sectors. The observations, results and insights drawn can act as a guiding force to rupture the resistance envelope covering the domain of lean implementation and possibly reinstating industries to survive and excel in the business post-COVID era. Originality/value This research introduces barriers to lean implementation in a unique way, as it articulates all sections of an industry and group the barriers based on the classification. It further prioritizes the barriers for their importance in the Indian industrial scenario. This would help the industry professionals and managers access the barriers and generate insight on how and where to start implementing lean.
{"title":"A sustainable solution for lean barriers through a fuzzy DEMATEL methodology with a case study from the Indian manufacturing industry","authors":"B. Mohapatra, S. Tripathy, D. Singhal","doi":"10.1108/ijlss-06-2022-0134","DOIUrl":"https://doi.org/10.1108/ijlss-06-2022-0134","url":null,"abstract":"\u0000Purpose\u0000As the COVID-19 epidemic ravages the world in the fourth industrial revolution era, the manufacturing sector faces its worst situation in a century. Lean philosophy, renowned as a “warrior philosophy,” can be an able rescuer to these industries. This study aims to identify the hurdles to lean strategy implementation and conduct an analysis to provide cognizance to policymakers, practitioners and decision-makers.\u0000\u0000\u0000Design/methodology/approach\u0000This study aims to identify the obstacles that obstruct lean implementation into seven primary barriers/components, with the fuzzy DEMATEL approach being used to evaluate the critical factors as well as the cause and effect factors among them. Expert opinions are sought to obtain the relevant data for evaluation purposes.\u0000\u0000\u0000Findings\u0000The results reveal that a firm should focus on firm cultural conflict scenario, resources–responses incapability, improve on suppliers’ attitude and execute a proper planning and logistics equation to alleviate the hindrances of implementing lean. As these causal factors influence the effect factors, namely, top management vision, management–employee relationship and human resource building, focusing on them automatically improves the effect factors; thus, the surge to overcome resistance to lean implementation is alleviated.\u0000\u0000\u0000Practical implications\u0000This research aids in identifying and analyzing lean implementation issues in the manufacturing and industrial sectors. The observations, results and insights drawn can act as a guiding force to rupture the resistance envelope covering the domain of lean implementation and possibly reinstating industries to survive and excel in the business post-COVID era.\u0000\u0000\u0000Originality/value\u0000This research introduces barriers to lean implementation in a unique way, as it articulates all sections of an industry and group the barriers based on the classification. It further prioritizes the barriers for their importance in the Indian industrial scenario. This would help the industry professionals and managers access the barriers and generate insight on how and where to start implementing lean.\u0000","PeriodicalId":48601,"journal":{"name":"International Journal of Lean Six Sigma","volume":" ","pages":""},"PeriodicalIF":4.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44866263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：