Pub Date : 2021-01-01DOI: 10.1504/ijssca.2021.10042510
G. Kumar, S. Hamritha, M. Shivakumar, M. Shilpa
{"title":"Optimisation of choice of hospitals based on Lean Six Sigma implementation indicators customer viewpoint","authors":"G. Kumar, S. Hamritha, M. Shivakumar, M. Shilpa","doi":"10.1504/ijssca.2021.10042510","DOIUrl":"https://doi.org/10.1504/ijssca.2021.10042510","url":null,"abstract":"","PeriodicalId":35430,"journal":{"name":"International Journal of Six Sigma and Competitive Advantage","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85038418","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 : 2021-01-01DOI: 10.1504/ijssca.2021.120249
Sourabh Kumar, D. Khanduja
{"title":"Cost of poor quality reduction in auto sector: an exploration with Six-Sigma","authors":"Sourabh Kumar, D. Khanduja","doi":"10.1504/ijssca.2021.120249","DOIUrl":"https://doi.org/10.1504/ijssca.2021.120249","url":null,"abstract":"","PeriodicalId":35430,"journal":{"name":"International Journal of Six Sigma and Competitive Advantage","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75739232","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 : 2021-01-01DOI: 10.1504/IJSSCA.2021.10038740
O. Deepa
{"title":"Integration of Six Sigma and lean for superior sustainability of dairy production","authors":"O. Deepa","doi":"10.1504/IJSSCA.2021.10038740","DOIUrl":"https://doi.org/10.1504/IJSSCA.2021.10038740","url":null,"abstract":"","PeriodicalId":35430,"journal":{"name":"International Journal of Six Sigma and Competitive Advantage","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89337456","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 : 2021-01-01DOI: 10.1504/ijssca.2021.10042092
Dinesh Kumar, A. Yadav, N. Shweta
{"title":"Structural modelling and ranking the warehouse activities in a pharmaceutical supply chain system","authors":"Dinesh Kumar, A. Yadav, N. Shweta","doi":"10.1504/ijssca.2021.10042092","DOIUrl":"https://doi.org/10.1504/ijssca.2021.10042092","url":null,"abstract":"","PeriodicalId":35430,"journal":{"name":"International Journal of Six Sigma and Competitive Advantage","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75245520","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 : 2020-12-29DOI: 10.1504/ijssca.2020.10034341
Mahender Singh Kaswan, R. Rathi, D. Khanduja
The increased awareness about sustainability, health issues associated to the emission of greenhouse gases, and changed customer quality perception has forced the industries to rethink their operational methods. Green Lean Six Sigma (GLS) is a sustainable development approach that reduces negative environmental effects and delivers products of near true value. Individual Green, Lean, and Six Sigma approaches have their associated drawbacks that can be overcome by one other. So, there is a need for an integrated approach that reduces wastes, rejection, and emission of harmful gases. The present study provides integration of Green, Lean, and Six Sigma based on theoretic found elements i.e., readiness measures, barriers, toolset, etc. This study will facilitate the practitioners and industrial organisation managers to implement a sustainable GLS approach in the business organisations for improved productivity and environmental sustainability.
{"title":"Integration of Green Lean Six Sigma: a novel approach for sustainable development","authors":"Mahender Singh Kaswan, R. Rathi, D. Khanduja","doi":"10.1504/ijssca.2020.10034341","DOIUrl":"https://doi.org/10.1504/ijssca.2020.10034341","url":null,"abstract":"The increased awareness about sustainability, health issues associated to the emission of greenhouse gases, and changed customer quality perception has forced the industries to rethink their operational methods. Green Lean Six Sigma (GLS) is a sustainable development approach that reduces negative environmental effects and delivers products of near true value. Individual Green, Lean, and Six Sigma approaches have their associated drawbacks that can be overcome by one other. So, there is a need for an integrated approach that reduces wastes, rejection, and emission of harmful gases. The present study provides integration of Green, Lean, and Six Sigma based on theoretic found elements i.e., readiness measures, barriers, toolset, etc. This study will facilitate the practitioners and industrial organisation managers to implement a sustainable GLS approach in the business organisations for improved productivity and environmental sustainability.","PeriodicalId":35430,"journal":{"name":"International Journal of Six Sigma and Competitive Advantage","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88607289","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 : 2020-12-29DOI: 10.1504/ijssca.2020.10034104
Boby John, P. Parikh
This is a case study on reducing the daily backlog % of accident and injury claims of an outsourced insurance claim processing process. The analysis showed that the fluctuations in claim volumes and ineffective utilisation of executives and processing time are the major causes of the high backlog. The solution developed is to forecast the daily claim volumes using dynamic regression and optimise the utilisation of processing time of executives using integer programming. The implementation of the solution improved the Cpk of accident claim processing from 0.21 to 1.18 and that of injury claims from 0.322 to 1.44. The solution also enabled in redeploying some of the highly skilled executives to other assignments during Thursdays and Fridays of the week. The methodology can be used for optimising any multiple task processing process by executives of varying skill levels.
{"title":"Improving the insurance claim processing process using Six Sigma methodology","authors":"Boby John, P. Parikh","doi":"10.1504/ijssca.2020.10034104","DOIUrl":"https://doi.org/10.1504/ijssca.2020.10034104","url":null,"abstract":"This is a case study on reducing the daily backlog % of accident and injury claims of an outsourced insurance claim processing process. The analysis showed that the fluctuations in claim volumes and ineffective utilisation of executives and processing time are the major causes of the high backlog. The solution developed is to forecast the daily claim volumes using dynamic regression and optimise the utilisation of processing time of executives using integer programming. The implementation of the solution improved the Cpk of accident claim processing from 0.21 to 1.18 and that of injury claims from 0.322 to 1.44. The solution also enabled in redeploying some of the highly skilled executives to other assignments during Thursdays and Fridays of the week. The methodology can be used for optimising any multiple task processing process by executives of varying skill levels.","PeriodicalId":35430,"journal":{"name":"International Journal of Six Sigma and Competitive Advantage","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72825613","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 : 2020-05-29DOI: 10.1504/ijssca.2020.10029709
Supratim Dutta, Sanjita Jaipuria
In beverage manufacturing plants, the glass bottles are primarily used as packaging material for distribution of the beverage. In some countries after consumption of the beverage, glass bottles are collected back from the market, cleaned, refilled with the fresh beverage, and resold. In this returnable glass bottle (RGB) production line, breakage of glass bottles happen due to various reasons and the company has to face loss. To highlight this issue a bottling plant of a leading beverage manufacturing company in India has been considered in this study. This bottling plant is operating at 4-sigma level and facing an average loss of ₹9,810,637.333 INR per year due to breakage of glass bottle in the RGB line. Hence, this study highlights the effective implementation of Six-Sigma DMAIC (D-define, M-measure, A-analysis, I-improvement and C-control) process to significantly minimising the breakage of glass bottles to control the losses.
{"title":"Reducing packaging material defects in beverage production line using Six Sigma methodology","authors":"Supratim Dutta, Sanjita Jaipuria","doi":"10.1504/ijssca.2020.10029709","DOIUrl":"https://doi.org/10.1504/ijssca.2020.10029709","url":null,"abstract":"In beverage manufacturing plants, the glass bottles are primarily used as packaging material for distribution of the beverage. In some countries after consumption of the beverage, glass bottles are collected back from the market, cleaned, refilled with the fresh beverage, and resold. In this returnable glass bottle (RGB) production line, breakage of glass bottles happen due to various reasons and the company has to face loss. To highlight this issue a bottling plant of a leading beverage manufacturing company in India has been considered in this study. This bottling plant is operating at 4-sigma level and facing an average loss of ₹9,810,637.333 INR per year due to breakage of glass bottle in the RGB line. Hence, this study highlights the effective implementation of Six-Sigma DMAIC (D-define, M-measure, A-analysis, I-improvement and C-control) process to significantly minimising the breakage of glass bottles to control the losses.","PeriodicalId":35430,"journal":{"name":"International Journal of Six Sigma and Competitive Advantage","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83394638","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 : 2020-05-26DOI: 10.1504/ijssca.2020.10029707
Parveen Sharma, Rohit Sharma
The overall cost and production of any industry is directly affected by the shop floor layout. Present research work demonstrates a case study about the analysis of layout alternatives based on analytic hierarchy process (AHP) methodology. Qualitative factors directly affect the performance of the layout. Three qualitative factors (routing flexibility, production area utilisation and human issues) have been analysed. The steps of the AHP methodology have been adopted, and the values of eigenvalue (λmax), consistency index (CI), average random consistency (RI), and consistency ratio (CR) have been calculated for each selected factor. From the results, it has been analysed that selection of layout directly affected by the priority factors on the shop floor, it was found that for selected industry routing flexibility alternative 1.5 demonstrates best priority vector. For production area utilisation, alternatives 1.1 and 1.3 shows higher priority vectors on the other hand, for human issues, alternative 1.3 has best value of priority vector. It has been revealed that layout 1.3 is the best out of the five layouts selected for the current study.
{"title":"Analysis of facility layout using MCDM approach: a case study of a manufacturing industry","authors":"Parveen Sharma, Rohit Sharma","doi":"10.1504/ijssca.2020.10029707","DOIUrl":"https://doi.org/10.1504/ijssca.2020.10029707","url":null,"abstract":"The overall cost and production of any industry is directly affected by the shop floor layout. Present research work demonstrates a case study about the analysis of layout alternatives based on analytic hierarchy process (AHP) methodology. Qualitative factors directly affect the performance of the layout. Three qualitative factors (routing flexibility, production area utilisation and human issues) have been analysed. The steps of the AHP methodology have been adopted, and the values of eigenvalue (λmax), consistency index (CI), average random consistency (RI), and consistency ratio (CR) have been calculated for each selected factor. From the results, it has been analysed that selection of layout directly affected by the priority factors on the shop floor, it was found that for selected industry routing flexibility alternative 1.5 demonstrates best priority vector. For production area utilisation, alternatives 1.1 and 1.3 shows higher priority vectors on the other hand, for human issues, alternative 1.3 has best value of priority vector. It has been revealed that layout 1.3 is the best out of the five layouts selected for the current study.","PeriodicalId":35430,"journal":{"name":"International Journal of Six Sigma and Competitive Advantage","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82353123","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 : 2020-05-26DOI: 10.1504/ijssca.2020.10029704
T. R. Veena, G. V. Prabhushankar
In the present day scenario, many business and quality management methods are used in industries to improve quality and standardise the process. Six Sigma methodology (SSM) started by Motorola is one such methodology used by industries to reduce variability and cost, increase the profitability of the process. SSM will help to identify and reduce defects so that the process is standardised. In this paper, literature review is done to identify the critical success factors (CSFs) for the implementation of SSM. Further, the CSFs identified are categorised into various groups based on their relevance to various clauses of ISO 9001:2015 quality management system (QMS) standard. The identified CSFs are grouped in Clause 4: context of organisation; Clause 5: leadership; Clause 6: planning; Clause 7: support; Clause 8: operations; Clause 9: performance evaluation and Clause 10: improvement. The CSFs grouped as per various clauses could be used by the organisations which have implemented ISO 9001:2015 QMS to effectively implement SSM along with QMS standard.
{"title":"Identification of Critical Success Factors for implementing Six Sigma methodology and grouping the factors based on ISO 9001:2015 QMS.","authors":"T. R. Veena, G. V. Prabhushankar","doi":"10.1504/ijssca.2020.10029704","DOIUrl":"https://doi.org/10.1504/ijssca.2020.10029704","url":null,"abstract":"In the present day scenario, many business and quality management methods are used in industries to improve quality and standardise the process. Six Sigma methodology (SSM) started by Motorola is one such methodology used by industries to reduce variability and cost, increase the profitability of the process. SSM will help to identify and reduce defects so that the process is standardised. In this paper, literature review is done to identify the critical success factors (CSFs) for the implementation of SSM. Further, the CSFs identified are categorised into various groups based on their relevance to various clauses of ISO 9001:2015 quality management system (QMS) standard. The identified CSFs are grouped in Clause 4: context of organisation; Clause 5: leadership; Clause 6: planning; Clause 7: support; Clause 8: operations; Clause 9: performance evaluation and Clause 10: improvement. The CSFs grouped as per various clauses could be used by the organisations which have implemented ISO 9001:2015 QMS to effectively implement SSM along with QMS standard.","PeriodicalId":35430,"journal":{"name":"International Journal of Six Sigma and Competitive Advantage","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86000559","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 : 2020-05-26DOI: 10.1504/ijssca.2020.10029706
Vivek Sharma, S. Grover, Sheetal Sharma
Implementation of quality tools and techniques (QT&T) has exemplified many benefits over the years in manufacturing as well as in service organisations. Previous surveys on QT&T emphasised mainly upon performance of products, processes and services of the organisations and have not addressed about implications and adaptability of QT&T categories. The purpose of this survey research is to scrutinise different categories of QT&T and to examine the level of adoption, applicability, benefits and challenges faced by various organisations in NCR region and industrial town Bhiwadi (Rajasthan) India. An exploratory questionnaire survey consisting of three parts was distributed out among 398 organisations. A total of 26.63% response rate was received out of 106 organisations. The collected data was analysed by using Statistical Package for Social Sciences (SPSS 18) software to validate multi dimensional unfolding test. Categories like problem solving tools, productivity tools and performance measurement tools retain to be most dominant for improving efficiency of organisations contributed by transformational Shepard plot.
{"title":"Applicability of quality tools and techniques in manufacturing and service organisations: a comprehensive survey","authors":"Vivek Sharma, S. Grover, Sheetal Sharma","doi":"10.1504/ijssca.2020.10029706","DOIUrl":"https://doi.org/10.1504/ijssca.2020.10029706","url":null,"abstract":"Implementation of quality tools and techniques (QT&T) has exemplified many benefits over the years in manufacturing as well as in service organisations. Previous surveys on QT&T emphasised mainly upon performance of products, processes and services of the organisations and have not addressed about implications and adaptability of QT&T categories. The purpose of this survey research is to scrutinise different categories of QT&T and to examine the level of adoption, applicability, benefits and challenges faced by various organisations in NCR region and industrial town Bhiwadi (Rajasthan) India. An exploratory questionnaire survey consisting of three parts was distributed out among 398 organisations. A total of 26.63% response rate was received out of 106 organisations. The collected data was analysed by using Statistical Package for Social Sciences (SPSS 18) software to validate multi dimensional unfolding test. Categories like problem solving tools, productivity tools and performance measurement tools retain to be most dominant for improving efficiency of organisations contributed by transformational Shepard plot.","PeriodicalId":35430,"journal":{"name":"International Journal of Six Sigma and Competitive Advantage","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89403723","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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