Exploration and Investigation of Green Lean Six Sigma Adoption Barriers for Manufacturing Sustainability
The increased awareness about the effect of operations on sustainability dynamics and governmental pressure to cut emission rates has forced industries to adopt sustainable approaches such as Green Lean Six Sigma (GLSS). Despite increasing interest in GLSS, very limited research has focused on its i...
Gespeichert in:
Veröffentlicht in: | IEEE transactions on engineering management 2023-12, Vol.70 (12), p.4079-4093 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 4093 |
---|---|
container_issue | 12 |
container_start_page | 4079 |
container_title | IEEE transactions on engineering management |
container_volume | 70 |
creator | Kaswan, Mahender Singh Rathi, Rajeev Reyes, Jose Arturo Garza Antony, Jiju |
description | The increased awareness about the effect of operations on sustainability dynamics and governmental pressure to cut emission rates has forced industries to adopt sustainable approaches such as Green Lean Six Sigma (GLSS). Despite increasing interest in GLSS, very limited research has focused on its implementation and no research has investigated barriers that hinder GLSS execution. This article investigates GLSS implementation barriers, their relationship, and removal of same in the manufacturing sector. In this article, 18 GLSS barriers have been recognized through literature review and formulated into logical groups using principal component analysis. This article pioneers with decision-making trial and evaluation laboratory with intuitionistic fuzzy (IF) set to prioritize barriers and handle the important and causal relationship among the same. The results of the article were validated through the IF best-worst method (BWM). The results reveal that management-related barriers are the top ranked followed by environmental and organization barriers with BWM weights 0.5283, 0.1704, and 0.1035, respectively. This provides impetus to policymakers for the induction of GLSS in business organizations to make harmony between economic development and environmental sustainability. |
doi_str_mv | 10.1109/TEM.2021.3108171 |
format | Article |
fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_journals_2864338965</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9539516</ieee_id><sourcerecordid>2864338965</sourcerecordid><originalsourceid>FETCH-LOGICAL-c323t-554aa0da57e8d174f2a7ad53e565f9f58060dfcc6d068f41be0b5500f73f10383</originalsourceid><addsrcrecordid>eNo9kFFPwjAQgBujiYi-m_jSxOfhdV237hEJIgnEB_C5ObYWS6Cd3Wbg3zsc8eFyuct3d7mPkEcGI8Ygf1lPl6MYYjbiDCTL2BUZMCFkBJDANRkAMBnlPGe35K6ud12ZiBgG5Gt6rPY-YGO9o-hKOnc_um7stu94Q2dBa0cXGh1d2WMX2wPScemrP-AVQ7A61NT4QJfoWoNF0wbrtnTV1g1ahxu7t83pntwY3Nf64ZKH5PNtup68R4uP2XwyXkQFj3kTCZEgQoki07JkWWJizLAUXItUmNwICSmUpijSElJpErbRsBECwGTcMOCSD8lzv7cK_rvtXlE73wbXnVSxTBPOZZ6KjoKeKoKv66CNqoI9YDgpBursU3U-1dmnuvjsRp76Eau1_sdzwXPBUv4LjQtx7g</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2864338965</pqid></control><display><type>article</type><title>Exploration and Investigation of Green Lean Six Sigma Adoption Barriers for Manufacturing Sustainability</title><source>IEEE Electronic Library (IEL)</source><creator>Kaswan, Mahender Singh ; Rathi, Rajeev ; Reyes, Jose Arturo Garza ; Antony, Jiju</creator><creatorcontrib>Kaswan, Mahender Singh ; Rathi, Rajeev ; Reyes, Jose Arturo Garza ; Antony, Jiju</creatorcontrib><description>The increased awareness about the effect of operations on sustainability dynamics and governmental pressure to cut emission rates has forced industries to adopt sustainable approaches such as Green Lean Six Sigma (GLSS). Despite increasing interest in GLSS, very limited research has focused on its implementation and no research has investigated barriers that hinder GLSS execution. This article investigates GLSS implementation barriers, their relationship, and removal of same in the manufacturing sector. In this article, 18 GLSS barriers have been recognized through literature review and formulated into logical groups using principal component analysis. This article pioneers with decision-making trial and evaluation laboratory with intuitionistic fuzzy (IF) set to prioritize barriers and handle the important and causal relationship among the same. The results of the article were validated through the IF best-worst method (BWM). The results reveal that management-related barriers are the top ranked followed by environmental and organization barriers with BWM weights 0.5283, 0.1704, and 0.1035, respectively. This provides impetus to policymakers for the induction of GLSS in business organizations to make harmony between economic development and environmental sustainability.</description><identifier>ISSN: 0018-9391</identifier><identifier>EISSN: 1558-0040</identifier><identifier>DOI: 10.1109/TEM.2021.3108171</identifier><identifier>CODEN: IEEMA4</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Best-worst method (BWM) ; Decision analysis ; Decision making ; decision-making trial and evaluation laboratory (DEMATEL) ; Economic development ; Emissions control ; Fuzzy logic ; Fuzzy sets ; Green Lean Six Sigma (GLSS) ; Green products ; Industries ; Lean manufacturing ; Literature reviews ; Manufacturing ; manufacturing sector ; Organizations ; Principal components analysis ; Six Sigma ; Sustainability ; Sustainable development</subject><ispartof>IEEE transactions on engineering management, 2023-12, Vol.70 (12), p.4079-4093</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c323t-554aa0da57e8d174f2a7ad53e565f9f58060dfcc6d068f41be0b5500f73f10383</citedby><cites>FETCH-LOGICAL-c323t-554aa0da57e8d174f2a7ad53e565f9f58060dfcc6d068f41be0b5500f73f10383</cites><orcidid>0000-0002-5476-5266 ; 0000-0002-8197-5736 ; 0000-0002-5493-877X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9539516$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9539516$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Kaswan, Mahender Singh</creatorcontrib><creatorcontrib>Rathi, Rajeev</creatorcontrib><creatorcontrib>Reyes, Jose Arturo Garza</creatorcontrib><creatorcontrib>Antony, Jiju</creatorcontrib><title>Exploration and Investigation of Green Lean Six Sigma Adoption Barriers for Manufacturing Sustainability</title><title>IEEE transactions on engineering management</title><addtitle>TEM</addtitle><description>The increased awareness about the effect of operations on sustainability dynamics and governmental pressure to cut emission rates has forced industries to adopt sustainable approaches such as Green Lean Six Sigma (GLSS). Despite increasing interest in GLSS, very limited research has focused on its implementation and no research has investigated barriers that hinder GLSS execution. This article investigates GLSS implementation barriers, their relationship, and removal of same in the manufacturing sector. In this article, 18 GLSS barriers have been recognized through literature review and formulated into logical groups using principal component analysis. This article pioneers with decision-making trial and evaluation laboratory with intuitionistic fuzzy (IF) set to prioritize barriers and handle the important and causal relationship among the same. The results of the article were validated through the IF best-worst method (BWM). The results reveal that management-related barriers are the top ranked followed by environmental and organization barriers with BWM weights 0.5283, 0.1704, and 0.1035, respectively. This provides impetus to policymakers for the induction of GLSS in business organizations to make harmony between economic development and environmental sustainability.</description><subject>Best-worst method (BWM)</subject><subject>Decision analysis</subject><subject>Decision making</subject><subject>decision-making trial and evaluation laboratory (DEMATEL)</subject><subject>Economic development</subject><subject>Emissions control</subject><subject>Fuzzy logic</subject><subject>Fuzzy sets</subject><subject>Green Lean Six Sigma (GLSS)</subject><subject>Green products</subject><subject>Industries</subject><subject>Lean manufacturing</subject><subject>Literature reviews</subject><subject>Manufacturing</subject><subject>manufacturing sector</subject><subject>Organizations</subject><subject>Principal components analysis</subject><subject>Six Sigma</subject><subject>Sustainability</subject><subject>Sustainable development</subject><issn>0018-9391</issn><issn>1558-0040</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kFFPwjAQgBujiYi-m_jSxOfhdV237hEJIgnEB_C5ObYWS6Cd3Wbg3zsc8eFyuct3d7mPkEcGI8Ygf1lPl6MYYjbiDCTL2BUZMCFkBJDANRkAMBnlPGe35K6ud12ZiBgG5Gt6rPY-YGO9o-hKOnc_um7stu94Q2dBa0cXGh1d2WMX2wPScemrP-AVQ7A61NT4QJfoWoNF0wbrtnTV1g1ahxu7t83pntwY3Nf64ZKH5PNtup68R4uP2XwyXkQFj3kTCZEgQoki07JkWWJizLAUXItUmNwICSmUpijSElJpErbRsBECwGTcMOCSD8lzv7cK_rvtXlE73wbXnVSxTBPOZZ6KjoKeKoKv66CNqoI9YDgpBursU3U-1dmnuvjsRp76Eau1_sdzwXPBUv4LjQtx7g</recordid><startdate>20231201</startdate><enddate>20231201</enddate><creator>Kaswan, Mahender Singh</creator><creator>Rathi, Rajeev</creator><creator>Reyes, Jose Arturo Garza</creator><creator>Antony, Jiju</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0002-5476-5266</orcidid><orcidid>https://orcid.org/0000-0002-8197-5736</orcidid><orcidid>https://orcid.org/0000-0002-5493-877X</orcidid></search><sort><creationdate>20231201</creationdate><title>Exploration and Investigation of Green Lean Six Sigma Adoption Barriers for Manufacturing Sustainability</title><author>Kaswan, Mahender Singh ; Rathi, Rajeev ; Reyes, Jose Arturo Garza ; Antony, Jiju</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c323t-554aa0da57e8d174f2a7ad53e565f9f58060dfcc6d068f41be0b5500f73f10383</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Best-worst method (BWM)</topic><topic>Decision analysis</topic><topic>Decision making</topic><topic>decision-making trial and evaluation laboratory (DEMATEL)</topic><topic>Economic development</topic><topic>Emissions control</topic><topic>Fuzzy logic</topic><topic>Fuzzy sets</topic><topic>Green Lean Six Sigma (GLSS)</topic><topic>Green products</topic><topic>Industries</topic><topic>Lean manufacturing</topic><topic>Literature reviews</topic><topic>Manufacturing</topic><topic>manufacturing sector</topic><topic>Organizations</topic><topic>Principal components analysis</topic><topic>Six Sigma</topic><topic>Sustainability</topic><topic>Sustainable development</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kaswan, Mahender Singh</creatorcontrib><creatorcontrib>Rathi, Rajeev</creatorcontrib><creatorcontrib>Reyes, Jose Arturo Garza</creatorcontrib><creatorcontrib>Antony, Jiju</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>IEEE transactions on engineering management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Kaswan, Mahender Singh</au><au>Rathi, Rajeev</au><au>Reyes, Jose Arturo Garza</au><au>Antony, Jiju</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Exploration and Investigation of Green Lean Six Sigma Adoption Barriers for Manufacturing Sustainability</atitle><jtitle>IEEE transactions on engineering management</jtitle><stitle>TEM</stitle><date>2023-12-01</date><risdate>2023</risdate><volume>70</volume><issue>12</issue><spage>4079</spage><epage>4093</epage><pages>4079-4093</pages><issn>0018-9391</issn><eissn>1558-0040</eissn><coden>IEEMA4</coden><abstract>The increased awareness about the effect of operations on sustainability dynamics and governmental pressure to cut emission rates has forced industries to adopt sustainable approaches such as Green Lean Six Sigma (GLSS). Despite increasing interest in GLSS, very limited research has focused on its implementation and no research has investigated barriers that hinder GLSS execution. This article investigates GLSS implementation barriers, their relationship, and removal of same in the manufacturing sector. In this article, 18 GLSS barriers have been recognized through literature review and formulated into logical groups using principal component analysis. This article pioneers with decision-making trial and evaluation laboratory with intuitionistic fuzzy (IF) set to prioritize barriers and handle the important and causal relationship among the same. The results of the article were validated through the IF best-worst method (BWM). The results reveal that management-related barriers are the top ranked followed by environmental and organization barriers with BWM weights 0.5283, 0.1704, and 0.1035, respectively. This provides impetus to policymakers for the induction of GLSS in business organizations to make harmony between economic development and environmental sustainability.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TEM.2021.3108171</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-5476-5266</orcidid><orcidid>https://orcid.org/0000-0002-8197-5736</orcidid><orcidid>https://orcid.org/0000-0002-5493-877X</orcidid></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 0018-9391 |
ispartof | IEEE transactions on engineering management, 2023-12, Vol.70 (12), p.4079-4093 |
issn | 0018-9391 1558-0040 |
language | eng |
recordid | cdi_proquest_journals_2864338965 |
source | IEEE Electronic Library (IEL) |
subjects | Best-worst method (BWM) Decision analysis Decision making decision-making trial and evaluation laboratory (DEMATEL) Economic development Emissions control Fuzzy logic Fuzzy sets Green Lean Six Sigma (GLSS) Green products Industries Lean manufacturing Literature reviews Manufacturing manufacturing sector Organizations Principal components analysis Six Sigma Sustainability Sustainable development |
title | Exploration and Investigation of Green Lean Six Sigma Adoption Barriers for Manufacturing Sustainability |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T20%3A07%3A38IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Exploration%20and%20Investigation%20of%20Green%20Lean%20Six%20Sigma%20Adoption%20Barriers%20for%20Manufacturing%20Sustainability&rft.jtitle=IEEE%20transactions%20on%20engineering%20management&rft.au=Kaswan,%20Mahender%20Singh&rft.date=2023-12-01&rft.volume=70&rft.issue=12&rft.spage=4079&rft.epage=4093&rft.pages=4079-4093&rft.issn=0018-9391&rft.eissn=1558-0040&rft.coden=IEEMA4&rft_id=info:doi/10.1109/TEM.2021.3108171&rft_dat=%3Cproquest_RIE%3E2864338965%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2864338965&rft_id=info:pmid/&rft_ieee_id=9539516&rfr_iscdi=true |