Barriers to Lean Six Sigma Implementation in the Supply Chain: An ISM Model

Ali, SM; Hossen, MA; Mahtab, Z; Kabir, G; Paul, S; Adnan, ZUH

Barriers to Lean Six Sigma Implementation in the Supply Chain: An ISM Model

Ali, SM Hossen, MA Mahtab, Z Kabir, G Paul, S

Adnan, ZUH

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Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: Computers and Industrial Engineering, 2020, 149, pp. 106843-106843
Issue Date:: 2020-09

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Field	Value	Language
dc.contributor.author	Ali, SM
dc.contributor.author	Hossen, MA
dc.contributor.author	Mahtab, Z
dc.contributor.author	Kabir, G
dc.contributor.author	Paul, S https://orcid.org/0000-0001-9523-179X
dc.contributor.author	Adnan, ZUH
dc.date.accessioned	2020-10-01T19:39:38Z
dc.date.available	2020-10-01T19:39:38Z
dc.date.issued	2020-09
dc.identifier.citation	Computers and Industrial Engineering, 2020, 149, pp. 106843-106843
dc.identifier.issn	0360-8352
dc.identifier.uri	http://hdl.handle.net/10453/142968
dc.description.abstract	Lean six sigma (LSS), a process improvement tool to achieve operational excellence in any industry, has become popular among practitioners over the last few decades. In this study, a framework for identifying barriers to LSS implementation in supply chains has been developed using the interpretive structural modeling (ISM) method. The ISM technique was used to identify the contextual relationships among the barriers. Barriers were classified based on their dependence power and driving power using MICMAC (Matriced Impacts Croisés Multiplication Appliquée á un Classement). This framework will provide a comprehensive understanding of how the barriers of LSS affect each other. The proposed framework has been tested using data from a real-world apparel manufacturing company in Bangladesh. 10 barriers to LSS implementation were identified from a literature review and industrial managers’ feedback. This study is expected to guide practitioners in implementing LSS in supply chains by helping to focus their effort on removing the most important barriers.
dc.language	en
dc.publisher	Elsevier
dc.relation.ispartof	Computers and Industrial Engineering
dc.relation.isbasedon	10.1016/j.cie.2020.106843
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	01 Mathematical Sciences, 08 Information and Computing Sciences, 09 Engineering
dc.subject.classification	Industrial Engineering & Automation
dc.title	Barriers to Lean Six Sigma Implementation in the Supply Chain: An ISM Model
dc.type	Journal Article
utslib.citation.volume	149
utslib.for	01 Mathematical Sciences
utslib.for	08 Information and Computing Sciences
utslib.for	09 Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
pubs.organisational-group	/University of Technology Sydney/Faculty of Business/Management Discipline
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
pubs.consider-herdc	true
dc.date.updated	2020-10-01T19:39:25Z
pubs.publication-status	Published
pubs.volume	149

Abstract:

Lean six sigma (LSS), a process improvement tool to achieve operational excellence in any industry, has become popular among practitioners over the last few decades. In this study, a framework for identifying barriers to LSS implementation in supply chains has been developed using the interpretive structural modeling (ISM) method. The ISM technique was used to identify the contextual relationships among the barriers. Barriers were classified based on their dependence power and driving power using MICMAC (Matriced Impacts Croisés Multiplication Appliquée á un Classement). This framework will provide a comprehensive understanding of how the barriers of LSS affect each other. The proposed framework has been tested using data from a real-world apparel manufacturing company in Bangladesh. 10 barriers to LSS implementation were identified from a literature review and industrial managers’ feedback. This study is expected to guide practitioners in implementing LSS in supply chains by helping to focus their effort on removing the most important barriers.

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http://hdl.handle.net/10453/142968