Pub Date : 2023-03-15DOI: 10.1108/tqm-06-2022-0186
Olivia McDermott, J. Antony, M. Sony, Marcelo Machado Fernandes, Rajesh Koul, M. Doulatabadi
PurposeThe main objective of this study is to investigate the 7 new quality control or the 7 new management tools and their use in manufacturing organisations. This research investigates the understanding, knowledge of the tools and the level of application of the tools within the manufacturing sector. In addition, this paper aims to identify the benefits, challenges and critical success factors (CSFs) for the application of the 7 new quality control (QC) tools.Design/methodology/approachAn online survey instrument was developed, and data collection was performed utilising a stratified random sampling strategy. The primary strata/clusters were formed by quality professionals working in all aspects of manufacturing organisations and functions. A total of 86 participants from different countries responded to the survey.FindingsThe main finding of this study is that 10% of participants within the manufacturing sector perceived that the 7 new QC tools could solve above 80% of organisational problems. Another relevant finding presented in this paper is that tree diagrams were the most utilised of the 7 new QC tools within the manufacturing sector. The least utilised tools are arrow diagrams. The common benefits of using 7 new QC tools in the manufacturing sector are helping people define, measure and analyse the problem areas or even prioritises them and providing some form of structure to the problem-solving efforts. This paper also revealed that the 7 new QC tools were most used in the manufacturing area but least utilised in the new products and research and development (R&D) functions. This work also presents a list of CSFs and challenges required to properly apply the 7 new QC tools in the manufacturing sector.Research limitations/implicationsThis study was just carried out in manufacturing organisations. It would be interesting to try and expand to services sectors and compare use within the services sector.Originality/valueAuthors understand that this is the very first empirical study analysing the use and understanding of the 7 new QC or management tools within the manufacturing sector. The results of this study represent an important first step towards a complete understanding of the applicability of these tools in continuous improvement programs on a global scale and the context in which they can be utilized.
{"title":"The use and application of the 7 new quality control tools in the manufacturing sector: a global study","authors":"Olivia McDermott, J. Antony, M. Sony, Marcelo Machado Fernandes, Rajesh Koul, M. Doulatabadi","doi":"10.1108/tqm-06-2022-0186","DOIUrl":"https://doi.org/10.1108/tqm-06-2022-0186","url":null,"abstract":"PurposeThe main objective of this study is to investigate the 7 new quality control or the 7 new management tools and their use in manufacturing organisations. This research investigates the understanding, knowledge of the tools and the level of application of the tools within the manufacturing sector. In addition, this paper aims to identify the benefits, challenges and critical success factors (CSFs) for the application of the 7 new quality control (QC) tools.Design/methodology/approachAn online survey instrument was developed, and data collection was performed utilising a stratified random sampling strategy. The primary strata/clusters were formed by quality professionals working in all aspects of manufacturing organisations and functions. A total of 86 participants from different countries responded to the survey.FindingsThe main finding of this study is that 10% of participants within the manufacturing sector perceived that the 7 new QC tools could solve above 80% of organisational problems. Another relevant finding presented in this paper is that tree diagrams were the most utilised of the 7 new QC tools within the manufacturing sector. The least utilised tools are arrow diagrams. The common benefits of using 7 new QC tools in the manufacturing sector are helping people define, measure and analyse the problem areas or even prioritises them and providing some form of structure to the problem-solving efforts. This paper also revealed that the 7 new QC tools were most used in the manufacturing area but least utilised in the new products and research and development (R&D) functions. This work also presents a list of CSFs and challenges required to properly apply the 7 new QC tools in the manufacturing sector.Research limitations/implicationsThis study was just carried out in manufacturing organisations. It would be interesting to try and expand to services sectors and compare use within the services sector.Originality/valueAuthors understand that this is the very first empirical study analysing the use and understanding of the 7 new QC or management tools within the manufacturing sector. The results of this study represent an important first step towards a complete understanding of the applicability of these tools in continuous improvement programs on a global scale and the context in which they can be utilized.","PeriodicalId":40009,"journal":{"name":"TQM Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44535010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PurposeThe purpose of this study is to identify the prominent research constituents in the domain of integration of Lean manufacturing and Industry 4.0 techniques and analyze the intellectual structure among them.Design/methodology/approachA bibliometric analysis of articles based on Donthu et al. (2021a) has been adopted to conduct a systematic review of the integration of Lean manufacturing and Industry 4.0 using the Scopus database.FindingsThe co-citation analysis and bibliographic coupling depicted three clusters and themes around which the research related to the integration of Lean manufacturing and Industry 4.0. Publications related to the topic have majorly focused on the development of conceptual models and frameworks for integrating Lean manufacturing and Industry 4.0, analyzing the compatibility between the two techniques for better implementation of one another and the techniques' combined impact on operational performance.Originality/valueMost of the review studies related to the domain of integration of Lean manufacturing and Industry 4.0 have adopted a systematic literature review methodology. The present study has tried to infer the intellectual framework of the research being conducted in the said domain using the bibliometric analysis to identify the prominent research constituents in the field and examine the intellectual relationship between them.
{"title":"Integration of Lean manufacturing and Industry 4.0: a bibliometric analysis","authors":"Naveen Kumar, Arshdeep Singh, Sahil Gupta, Mahender Singh Kaswan, Maninder Singh","doi":"10.1108/tqm-07-2022-0243","DOIUrl":"https://doi.org/10.1108/tqm-07-2022-0243","url":null,"abstract":"PurposeThe purpose of this study is to identify the prominent research constituents in the domain of integration of Lean manufacturing and Industry 4.0 techniques and analyze the intellectual structure among them.Design/methodology/approachA bibliometric analysis of articles based on Donthu et al. (2021a) has been adopted to conduct a systematic review of the integration of Lean manufacturing and Industry 4.0 using the Scopus database.FindingsThe co-citation analysis and bibliographic coupling depicted three clusters and themes around which the research related to the integration of Lean manufacturing and Industry 4.0. Publications related to the topic have majorly focused on the development of conceptual models and frameworks for integrating Lean manufacturing and Industry 4.0, analyzing the compatibility between the two techniques for better implementation of one another and the techniques' combined impact on operational performance.Originality/valueMost of the review studies related to the domain of integration of Lean manufacturing and Industry 4.0 have adopted a systematic literature review methodology. The present study has tried to infer the intellectual framework of the research being conducted in the said domain using the bibliometric analysis to identify the prominent research constituents in the field and examine the intellectual relationship between them.","PeriodicalId":40009,"journal":{"name":"TQM Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43023200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-07DOI: 10.1108/tqm-12-2022-0356
J. Antony, Laynes Lauterbach, E. Viles, M. Tanco, Sandy Furterer, R. Snee
PurposeThis article presents a novel case study that analyzes the applicability of DoE in the curling sport in order to improve their own performance and the performance of its athletes. Specifically, this study analyzes the most important factors to increase accuracy and precision in the draw game with curlers' opinions. It was decided to use the “Last Stone Draw (LSD)’ as an appropriate play situation.Design/methodology/approachSpecifically, this study analyzes most important factors to increase accuracy and precision in the draw game with curlers opinions from the German Curling association. Three research techniques were used in this study: case study, interviews and a well-designed experiment. The analysis through the use of DoE includes a measurement system analysis, an initial variance test between two players, a screening and a characterization experiment.FindingsThe results obtained from DoE suggest that the factors routine, stress, release, balance, and the previous play situation have a substantial impact on the score of the player's draw game. However, no factor has a statistically significant impact on the average distance to the center of the target. Moreover, the DoE analysis also concludes that the accuracy and precision of the player's performance is not affected equally by all analyzed factors, but they turn into highly significant when examining their relationship to the other factors.Practical implicationsThe findings of this study can be beneficial to other sports events in improving the performance. Moreover, DoE has proved to be an invaluable tool for many people in the German Curling Association in understanding the factors which influence the curlers performance and also factors which do not affect the curlers performance.Originality/valueThis research attempts to contribute to the existing sports management literature by identifying a way in which DoE can be an effective tool in non-manufacturing settings for identification of most important factors which influence the curling performance.
{"title":"Applying design of experiments to optimize the performance level of a curling sport team","authors":"J. Antony, Laynes Lauterbach, E. Viles, M. Tanco, Sandy Furterer, R. Snee","doi":"10.1108/tqm-12-2022-0356","DOIUrl":"https://doi.org/10.1108/tqm-12-2022-0356","url":null,"abstract":"PurposeThis article presents a novel case study that analyzes the applicability of DoE in the curling sport in order to improve their own performance and the performance of its athletes. Specifically, this study analyzes the most important factors to increase accuracy and precision in the draw game with curlers' opinions. It was decided to use the “Last Stone Draw (LSD)’ as an appropriate play situation.Design/methodology/approachSpecifically, this study analyzes most important factors to increase accuracy and precision in the draw game with curlers opinions from the German Curling association. Three research techniques were used in this study: case study, interviews and a well-designed experiment. The analysis through the use of DoE includes a measurement system analysis, an initial variance test between two players, a screening and a characterization experiment.FindingsThe results obtained from DoE suggest that the factors routine, stress, release, balance, and the previous play situation have a substantial impact on the score of the player's draw game. However, no factor has a statistically significant impact on the average distance to the center of the target. Moreover, the DoE analysis also concludes that the accuracy and precision of the player's performance is not affected equally by all analyzed factors, but they turn into highly significant when examining their relationship to the other factors.Practical implicationsThe findings of this study can be beneficial to other sports events in improving the performance. Moreover, DoE has proved to be an invaluable tool for many people in the German Curling Association in understanding the factors which influence the curlers performance and also factors which do not affect the curlers performance.Originality/valueThis research attempts to contribute to the existing sports management literature by identifying a way in which DoE can be an effective tool in non-manufacturing settings for identification of most important factors which influence the curling performance.","PeriodicalId":40009,"journal":{"name":"TQM Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49254298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-03DOI: 10.1108/tqm-07-2022-0235
Tharun Thomas, P. G. Saleeshya
PurposeThis research study aims to introduce a maturity model based on capability maturity model integration (CMMI) that can assess the digital manufacturing maturity level of manufacturing companies.Design/methodology/approachA CMMI model for the manufacturing industry is designed to assess the digitalisation level of manufacturing industries. The model is developed exclusively for the process area “organisational process focus” (OPF), and the digitalisation level is quantified using fuzzy logic by employing a case study approach.FindingsThe CMMI is successfully employed to assess the digitalisation level of a manufacturing organisation using the fuzzy logic approach. The triangular fuzzy number of the Fuzzy CMMI Measure Index (FCMI) is obtained as (6.08, 7.33, 8.52). The transformation of FCMI into linguistic terms discloses the digitalisation level of the manufacturing organisation as “Capability Maturity Level 4” (CML 4).Originality/valueThe authors tested the suitability of CMMI in the manufacturing sector. The operational concept introduced in this research sets forth a unique framework to quantify the digitalisation level of manufacturing industries.
{"title":"CMMI based fuzzy logic approach to assess the digital manufacturing maturity level of manufacturing industries","authors":"Tharun Thomas, P. G. Saleeshya","doi":"10.1108/tqm-07-2022-0235","DOIUrl":"https://doi.org/10.1108/tqm-07-2022-0235","url":null,"abstract":"PurposeThis research study aims to introduce a maturity model based on capability maturity model integration (CMMI) that can assess the digital manufacturing maturity level of manufacturing companies.Design/methodology/approachA CMMI model for the manufacturing industry is designed to assess the digitalisation level of manufacturing industries. The model is developed exclusively for the process area “organisational process focus” (OPF), and the digitalisation level is quantified using fuzzy logic by employing a case study approach.FindingsThe CMMI is successfully employed to assess the digitalisation level of a manufacturing organisation using the fuzzy logic approach. The triangular fuzzy number of the Fuzzy CMMI Measure Index (FCMI) is obtained as (6.08, 7.33, 8.52). The transformation of FCMI into linguistic terms discloses the digitalisation level of the manufacturing organisation as “Capability Maturity Level 4” (CML 4).Originality/valueThe authors tested the suitability of CMMI in the manufacturing sector. The operational concept introduced in this research sets forth a unique framework to quantify the digitalisation level of manufacturing industries.","PeriodicalId":40009,"journal":{"name":"TQM Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46339751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","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/tqm-12-2022-0355
Kamalpreet Kaur Paposa, Prachi Thakur, J. Antony, Olivia McDermott, J. Garza‐Reyes
PurposeThe current research aims to map and investigate how human resource management and lean practices can be integrated. This investigation will help identify the HRM aspects critical in the success of lean initiatives while exploring the research gaps in the existing literature. The review also aims to delineate the benefits and challenges of integrating lean with HRM systems to discuss further research and practice areas.Design/methodology/approachThis study utilizes a systematic literature review method to identify and synthesize the existing literature. As part of the process, a protocol that provided a plan for the review was followed, including the research questions and the data to be extracted.FindingsThe study results indicate that aspects of HRM practice and policies such as training and development, teamwork, motivation, communication, leadership, are key enablers of lean initiative deployment and success. The benefits of the integration of human resources with lean can help in lean training and development, communication of lean initiatives and successes, allocating and hiring continuous improvement personnel, and supporting leadership in lean deployment. Challenges to integrating lean and HRM practices included lack of integration and collaboration between disciplines. Further exploration areas in successful lean deployment would be practical longitudinal case studies on lean deployments with human resource (HR) partnerships and involvement.Practical implicationsThis review paper has crucial implications for practice relating to, integration of lean with HRM structures and tailoring HRM initiatives to ensure the success of lean deployment and reduce risks of failure.Originality/valueThe systematic literature review study conducted in this paper is the first of its kind to integrate and map the HRM concepts that can be integrated with Lean to deploy the initiative successfully. This mapping is critical for ensuring the success of lean methodologies within an organization and paves the way for future research. In addition, managers and organizations can find support and guidance from this study to focus on vital areas of partnership between their lean and HR programs.
{"title":"The integration of lean and human resource management practices as an enabler for lean deployment –a systematic literature review","authors":"Kamalpreet Kaur Paposa, Prachi Thakur, J. Antony, Olivia McDermott, J. Garza‐Reyes","doi":"10.1108/tqm-12-2022-0355","DOIUrl":"https://doi.org/10.1108/tqm-12-2022-0355","url":null,"abstract":"PurposeThe current research aims to map and investigate how human resource management and lean practices can be integrated. This investigation will help identify the HRM aspects critical in the success of lean initiatives while exploring the research gaps in the existing literature. The review also aims to delineate the benefits and challenges of integrating lean with HRM systems to discuss further research and practice areas.Design/methodology/approachThis study utilizes a systematic literature review method to identify and synthesize the existing literature. As part of the process, a protocol that provided a plan for the review was followed, including the research questions and the data to be extracted.FindingsThe study results indicate that aspects of HRM practice and policies such as training and development, teamwork, motivation, communication, leadership, are key enablers of lean initiative deployment and success. The benefits of the integration of human resources with lean can help in lean training and development, communication of lean initiatives and successes, allocating and hiring continuous improvement personnel, and supporting leadership in lean deployment. Challenges to integrating lean and HRM practices included lack of integration and collaboration between disciplines. Further exploration areas in successful lean deployment would be practical longitudinal case studies on lean deployments with human resource (HR) partnerships and involvement.Practical implicationsThis review paper has crucial implications for practice relating to, integration of lean with HRM structures and tailoring HRM initiatives to ensure the success of lean deployment and reduce risks of failure.Originality/valueThe systematic literature review study conducted in this paper is the first of its kind to integrate and map the HRM concepts that can be integrated with Lean to deploy the initiative successfully. This mapping is critical for ensuring the success of lean methodologies within an organization and paves the way for future research. In addition, managers and organizations can find support and guidance from this study to focus on vital areas of partnership between their lean and HR programs.","PeriodicalId":40009,"journal":{"name":"TQM Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45998466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","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/tqm-02-2022-0064
Giulia Flamini, L. Pareschi, Marcello Martinez
PurposeSince the first definition of Total Quality Management (TQM) was established, its inseparable relationship with Human Resource Management (HRM) has been undeniable. However, many years have passed since this initial definition was made. During this time, not only have TQM and HRM evolved, but their relationship has also adapted in order to accompany and follow the environmental and technological changes that have ultimately changed the ways the authors work and how the authors perceive quality. This study provides a detailed map of the knowledge evolution of the TQM–HRM relationship. It also identifies interesting gaps for future researchers to consider to enable us to better understand emerging challenges and identify the next steps in the progression of TQM literature.Design/methodology/approachThe study adopted a bibliometric analysis approach, using a systematic literature review of a data set that included 132 peer-reviewed articles published between 1991 and 2021 to identify thematic topics. In exploring each of these, the authors created a framework to spotlight future explorative and exploitative research questions.FindingsThe results show that literature on the relationship between HRM and TQM focuses on six topics: a different performance appraisal (PA); a different role for the human resources (HR) department; HRM practices, such as different bridges between JIT and TQM; the integration of job satisfaction into TQM goals; different TQM healers; and the different effects of HRM practices on firm performance. This paper provides clear interpretations of these topics and offers some recommendations for how HRM studies could contribute towards the development of TQM research, thus forming a clear agenda for the future of TQM–HRM research.Originality/valueThis study represents the first attempt to systematize, analyze and critically interpret TQM–HRM studies, promoting a collective reflection on the state of the art and stimulating further discussions on this topic.
{"title":"Bridging the gap between TQM and HRM: mapping knowledge and identifying areas for future research","authors":"Giulia Flamini, L. Pareschi, Marcello Martinez","doi":"10.1108/tqm-02-2022-0064","DOIUrl":"https://doi.org/10.1108/tqm-02-2022-0064","url":null,"abstract":"PurposeSince the first definition of Total Quality Management (TQM) was established, its inseparable relationship with Human Resource Management (HRM) has been undeniable. However, many years have passed since this initial definition was made. During this time, not only have TQM and HRM evolved, but their relationship has also adapted in order to accompany and follow the environmental and technological changes that have ultimately changed the ways the authors work and how the authors perceive quality. This study provides a detailed map of the knowledge evolution of the TQM–HRM relationship. It also identifies interesting gaps for future researchers to consider to enable us to better understand emerging challenges and identify the next steps in the progression of TQM literature.Design/methodology/approachThe study adopted a bibliometric analysis approach, using a systematic literature review of a data set that included 132 peer-reviewed articles published between 1991 and 2021 to identify thematic topics. In exploring each of these, the authors created a framework to spotlight future explorative and exploitative research questions.FindingsThe results show that literature on the relationship between HRM and TQM focuses on six topics: a different performance appraisal (PA); a different role for the human resources (HR) department; HRM practices, such as different bridges between JIT and TQM; the integration of job satisfaction into TQM goals; different TQM healers; and the different effects of HRM practices on firm performance. This paper provides clear interpretations of these topics and offers some recommendations for how HRM studies could contribute towards the development of TQM research, thus forming a clear agenda for the future of TQM–HRM research.Originality/valueThis study represents the first attempt to systematize, analyze and critically interpret TQM–HRM studies, promoting a collective reflection on the state of the art and stimulating further discussions on this topic.","PeriodicalId":40009,"journal":{"name":"TQM Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44080303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","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/tqm-11-2022-0328
Anna Trubetskaya, Olivia McDermott, Anthony Ryan
PurposeThis paper outlines how Design for Lean Six Sigma methods aided a medical device manufacturing company in developing a new strategic space management and approval process for its manufacturing site.Design/methodology/approachThe project demonstrates the application of the Design for Lean Six Sigma and structured Define, Measure, Analyse, Design, and Verify methodology in designing and implementing a process that enables the case study manufacturing site to improve its space utilisation and free up space.FindingsThe project was validated in one manufacturing department, and the Design for Lean Six Sigma methodology resulted in creating 15% new space for that area, with opportunities identified to free up 44.7% of the total manufacturing floor space and realise over €2.2 million cost savings as well as start to manufacture new products launched.Research limitations/implicationsThe manuscript highlights for the first time how the Design for Lean Six Sigma methodology can be utilised for space utilisation and can be leveraged by other manufacturers. The current study's limitations are that it is a single-site case study application. Future longitudinal case studies on Design for Lean Six Sigma application in more manufacturing space utilisation projects would be useful. This study has implications for identifying best practices for Design for Lean Six Sigma methodology application in the device industry, thus improving the state of the art for introducing new manufacturing lines.Originality/valueThis is the first published work to utilise Design for Lean Six Sigma methodology for space utilisation in a medical device company. This review will provide medical devices and other manufacturing organisations with recommendations on utilising Design for Lean Six Sigma and design for improved space utilisation to reduce costs.
{"title":"Application of Design for Lean Six Sigma to strategic space management","authors":"Anna Trubetskaya, Olivia McDermott, Anthony Ryan","doi":"10.1108/tqm-11-2022-0328","DOIUrl":"https://doi.org/10.1108/tqm-11-2022-0328","url":null,"abstract":"PurposeThis paper outlines how Design for Lean Six Sigma methods aided a medical device manufacturing company in developing a new strategic space management and approval process for its manufacturing site.Design/methodology/approachThe project demonstrates the application of the Design for Lean Six Sigma and structured Define, Measure, Analyse, Design, and Verify methodology in designing and implementing a process that enables the case study manufacturing site to improve its space utilisation and free up space.FindingsThe project was validated in one manufacturing department, and the Design for Lean Six Sigma methodology resulted in creating 15% new space for that area, with opportunities identified to free up 44.7% of the total manufacturing floor space and realise over €2.2 million cost savings as well as start to manufacture new products launched.Research limitations/implicationsThe manuscript highlights for the first time how the Design for Lean Six Sigma methodology can be utilised for space utilisation and can be leveraged by other manufacturers. The current study's limitations are that it is a single-site case study application. Future longitudinal case studies on Design for Lean Six Sigma application in more manufacturing space utilisation projects would be useful. This study has implications for identifying best practices for Design for Lean Six Sigma methodology application in the device industry, thus improving the state of the art for introducing new manufacturing lines.Originality/valueThis is the first published work to utilise Design for Lean Six Sigma methodology for space utilisation in a medical device company. This review will provide medical devices and other manufacturing organisations with recommendations on utilising Design for Lean Six Sigma and design for improved space utilisation to reduce costs.","PeriodicalId":40009,"journal":{"name":"TQM Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41962629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","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/tqm-01-2022-0045
Emilia Filippi, L. Gaio, Marco Zamarian
PurposeThis study aims to analyze how the interplay between hard and soft elements of total quality management (TQM) produces the conditions for sustaining success in the quest for quality.Design/methodology/approachA qualitative analysis (Gioia method) was carried out on an original dataset collected through both direct and indirect methods (i.e. archival sources, interviews and observations) to generate a new interpretive framework.FindingsThe interpretative framework identifies four categories of elements: trigger elements create the starting conditions for a quality virtuous cycle; benchmarking tools set the standards of performance; improvement tools enable exploration of the space of possible alternative practices and finally, catalytic forces allow the institutionalization of effective techniques discovered in this search process into new standards.Research limitations/implicationsThe findings the authors present in this paper are derived by a single case study, limiting the generalizability of our results in other settings.Practical implicationsThis study has three implications: first, the design of trigger elements is critical for the success of any TQM initiative; second, the interplay of improvement and benchmarking tools at several levels should be coherent and third, to exploit the potential of TQM, efforts should be devoted to the dissemination of new effective practices by means of catalyzing elements.Originality/valueThe model provides a more specific understanding of the nature and purpose of the hard and soft elements of TQM and the dynamic interaction between the two classes of elements over time.
{"title":"Leveraging the hard and soft elements of TQM: the interplay of benchmarking and improvement processes","authors":"Emilia Filippi, L. Gaio, Marco Zamarian","doi":"10.1108/tqm-01-2022-0045","DOIUrl":"https://doi.org/10.1108/tqm-01-2022-0045","url":null,"abstract":"PurposeThis study aims to analyze how the interplay between hard and soft elements of total quality management (TQM) produces the conditions for sustaining success in the quest for quality.Design/methodology/approachA qualitative analysis (Gioia method) was carried out on an original dataset collected through both direct and indirect methods (i.e. archival sources, interviews and observations) to generate a new interpretive framework.FindingsThe interpretative framework identifies four categories of elements: trigger elements create the starting conditions for a quality virtuous cycle; benchmarking tools set the standards of performance; improvement tools enable exploration of the space of possible alternative practices and finally, catalytic forces allow the institutionalization of effective techniques discovered in this search process into new standards.Research limitations/implicationsThe findings the authors present in this paper are derived by a single case study, limiting the generalizability of our results in other settings.Practical implicationsThis study has three implications: first, the design of trigger elements is critical for the success of any TQM initiative; second, the interplay of improvement and benchmarking tools at several levels should be coherent and third, to exploit the potential of TQM, efforts should be devoted to the dissemination of new effective practices by means of catalyzing elements.Originality/valueThe model provides a more specific understanding of the nature and purpose of the hard and soft elements of TQM and the dynamic interaction between the two classes of elements over time.","PeriodicalId":40009,"journal":{"name":"TQM Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43446181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-24DOI: 10.1108/tqm-10-2022-0308
S. Shrivastav
PurposeThis study investigates the overall publications of The TQM Journal since its inception with an aim to identify the trending topics and emerging trends.Design/methodology/approachThe quantitative bibliometric and social network analysis techniques composed of keywords, co-occurrence network and keyword cluster detection are employed to conduct the investigation. A total of 968 papers published in The TQM Journal till August 2022 were sourced from the SCOPUS database to conduct the analysis.FindingsThe research identifies five themes from the published articles namely, customer service experience and satisfaction; quality management and organizational performance; quality measurement tools and models; quality and sustainable development; and quality and competitive advantage. The study also identifies the most significant articles, authors and countries published in the journal and shows that Industry 4.0 is the trending topic and quality 4.0 the new emerging trend in the journal.Research limitations/implicationsThe analysis is carried out only for papers published in The TQM Journal till August 2022; those after this month are not included in the analysis. The outcome of this study is dynamic in nature and subject to change over time as more papers, citations and collaborations are added to the list.Originality/valueThis is the first article of its kind to explore The TQM Journal publications with an aim to identify trending and emerging topics and also the most valuable authors based on the number of publications and citations through the bibliometric analysis.
{"title":"How The TQM Journal has addressed “quality”: a literature review using bibliometric analysis","authors":"S. Shrivastav","doi":"10.1108/tqm-10-2022-0308","DOIUrl":"https://doi.org/10.1108/tqm-10-2022-0308","url":null,"abstract":"PurposeThis study investigates the overall publications of The TQM Journal since its inception with an aim to identify the trending topics and emerging trends.Design/methodology/approachThe quantitative bibliometric and social network analysis techniques composed of keywords, co-occurrence network and keyword cluster detection are employed to conduct the investigation. A total of 968 papers published in The TQM Journal till August 2022 were sourced from the SCOPUS database to conduct the analysis.FindingsThe research identifies five themes from the published articles namely, customer service experience and satisfaction; quality management and organizational performance; quality measurement tools and models; quality and sustainable development; and quality and competitive advantage. The study also identifies the most significant articles, authors and countries published in the journal and shows that Industry 4.0 is the trending topic and quality 4.0 the new emerging trend in the journal.Research limitations/implicationsThe analysis is carried out only for papers published in The TQM Journal till August 2022; those after this month are not included in the analysis. The outcome of this study is dynamic in nature and subject to change over time as more papers, citations and collaborations are added to the list.Originality/valueThis is the first article of its kind to explore The TQM Journal publications with an aim to identify trending and emerging topics and also the most valuable authors based on the number of publications and citations through the bibliometric analysis.","PeriodicalId":40009,"journal":{"name":"TQM Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44321361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","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/tqm-05-2022-0167
Sehrish Huma, W. Ahmed, S. Zaman
PurposeThe objective of this paper is to investigate the effect of supply chain quality integration (SCQI) and green supply chain practices and their impact on the Triple bottom line (TBL) in driving sustainability performance.Design/methodology/approachStructural equation modeling of partial least squares was used to study the relationships between SCQI and green supply chain practices (GSCPs) in driving sustainable performance and is empirically tested using data from 167 manufacturing firms.FindingsThis study reveals that supply chain quality integration (SCQI) enhances the green purchasing activity as well as the implementation of internal environmental management (IEM) of the firm. However, IEM is a crucial factor that contributes to sustainability performance.Originality/valueThis study is one of the few relevant researches that would benefit manufacturing organizations to further improve their triple bottom line by integrating supply chain quality with green practices.
{"title":"The impact of supply chain quality integration on a firm’s sustainable performance","authors":"Sehrish Huma, W. Ahmed, S. Zaman","doi":"10.1108/tqm-05-2022-0167","DOIUrl":"https://doi.org/10.1108/tqm-05-2022-0167","url":null,"abstract":"PurposeThe objective of this paper is to investigate the effect of supply chain quality integration (SCQI) and green supply chain practices and their impact on the Triple bottom line (TBL) in driving sustainability performance.Design/methodology/approachStructural equation modeling of partial least squares was used to study the relationships between SCQI and green supply chain practices (GSCPs) in driving sustainable performance and is empirically tested using data from 167 manufacturing firms.FindingsThis study reveals that supply chain quality integration (SCQI) enhances the green purchasing activity as well as the implementation of internal environmental management (IEM) of the firm. However, IEM is a crucial factor that contributes to sustainability performance.Originality/valueThis study is one of the few relevant researches that would benefit manufacturing organizations to further improve their triple bottom line by integrating supply chain quality with green practices.","PeriodicalId":40009,"journal":{"name":"TQM Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49037584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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