QFD-based optimization model for mitigating sustainable supply chain management adoption challenges for Bangladeshi RMG industries
<p dir="ltr">In response to heightened pressures from regulatory mandates, global competition, and evolving customer expectations,<u> industries</u> worldwide are compelled to prioritize environmental initiatives, often at the expense of economic considerations. The resea...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | |
| منشور في: |
2024
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| الموضوعات: | |
| الوسوم: |
إضافة وسم
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| _version_ | 1864513540595908608 |
|---|---|
| author | Md Al Amin (17808299) |
| author2 | Roberto Baldacci (14779375) |
| author2_role | author |
| author_facet | Md Al Amin (17808299) Roberto Baldacci (14779375) |
| author_role | author |
| dc.creator.none.fl_str_mv | Md Al Amin (17808299) Roberto Baldacci (14779375) |
| dc.date.none.fl_str_mv | 2024-09-03T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1016/j.jclepro.2024.143460 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/QFD-based_optimization_model_for_mitigating_sustainable_supply_chain_management_adoption_challenges_for_Bangladeshi_RMG_industries/30023563 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Environmental engineering Environmental sciences Environmental management Quality function deployment Optimization model Sustainable supply chain management Sustainability performance |
| dc.title.none.fl_str_mv | QFD-based optimization model for mitigating sustainable supply chain management adoption challenges for Bangladeshi RMG industries |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">In response to heightened pressures from regulatory mandates, global competition, and evolving customer expectations,<u> industries</u> worldwide are compelled to prioritize environmental initiatives, often at the expense of economic considerations. The research gap addressed in this study is the lack of a comprehensive, data-driven optimization model for effectively mitigating sustainable <u>supply chain management</u> adoption challenges specific to the Bangladeshi Readymade Garments (RMG) industry. While previous studies often relied on single techniques, this research proposes a novel AHP integrated QFD-based MILP optimization model. This innovative approach empowers Bangladeshi RMG industries to make data-driven decisions for prioritizing <u>sustainability</u> challenges and selecting cost-effective mitigation strategies to promote the integration of sustainability initiatives within the sector. The study identifies and prioritizes 25 sustainable <u>supply chain management</u> adoption challenges and proposes 16 mitigation strategies. The model emphasizes the critical interplay between sustainability performance and implementation costs, achieving a sustainability performance score of 0.4511 while effectively implementing 12 out of 16 strategies within the expected budget. The optimal solution incorporates green strategies, technology integration, and aspects of Industry 5.0, demonstrating a holistic approach to sustainable supply chain management. The findings are crucial for Bangladeshi RMG industries aiming for global market competitiveness and contribute significantly to the academic field by introducing a robust, data-driven decisions for sustainable supply chain optimization. The implications extend beyond the RMG sector, offering a replicable model for other industries and regions facing similar sustainability challenges.</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of Cleaner Production<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.jclepro.2024.143460" target="_blank">https://dx.doi.org/10.1016/j.jclepro.2024.143460</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_bd6a6270fd1bd62d9cee71aafa34af32 |
| identifier_str_mv | 10.1016/j.jclepro.2024.143460 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/30023563 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | QFD-based optimization model for mitigating sustainable supply chain management adoption challenges for Bangladeshi RMG industriesMd Al Amin (17808299)Roberto Baldacci (14779375)EngineeringEnvironmental engineeringEnvironmental sciencesEnvironmental managementQuality function deploymentOptimization modelSustainable supply chain managementSustainability performance<p dir="ltr">In response to heightened pressures from regulatory mandates, global competition, and evolving customer expectations,<u> industries</u> worldwide are compelled to prioritize environmental initiatives, often at the expense of economic considerations. The research gap addressed in this study is the lack of a comprehensive, data-driven optimization model for effectively mitigating sustainable <u>supply chain management</u> adoption challenges specific to the Bangladeshi Readymade Garments (RMG) industry. While previous studies often relied on single techniques, this research proposes a novel AHP integrated QFD-based MILP optimization model. This innovative approach empowers Bangladeshi RMG industries to make data-driven decisions for prioritizing <u>sustainability</u> challenges and selecting cost-effective mitigation strategies to promote the integration of sustainability initiatives within the sector. The study identifies and prioritizes 25 sustainable <u>supply chain management</u> adoption challenges and proposes 16 mitigation strategies. The model emphasizes the critical interplay between sustainability performance and implementation costs, achieving a sustainability performance score of 0.4511 while effectively implementing 12 out of 16 strategies within the expected budget. The optimal solution incorporates green strategies, technology integration, and aspects of Industry 5.0, demonstrating a holistic approach to sustainable supply chain management. The findings are crucial for Bangladeshi RMG industries aiming for global market competitiveness and contribute significantly to the academic field by introducing a robust, data-driven decisions for sustainable supply chain optimization. The implications extend beyond the RMG sector, offering a replicable model for other industries and regions facing similar sustainability challenges.</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of Cleaner Production<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.jclepro.2024.143460" target="_blank">https://dx.doi.org/10.1016/j.jclepro.2024.143460</a></p>2024-09-03T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.jclepro.2024.143460https://figshare.com/articles/journal_contribution/QFD-based_optimization_model_for_mitigating_sustainable_supply_chain_management_adoption_challenges_for_Bangladeshi_RMG_industries/30023563CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/300235632024-09-03T03:00:00Z |
| spellingShingle | QFD-based optimization model for mitigating sustainable supply chain management adoption challenges for Bangladeshi RMG industries Md Al Amin (17808299) Engineering Environmental engineering Environmental sciences Environmental management Quality function deployment Optimization model Sustainable supply chain management Sustainability performance |
| status_str | publishedVersion |
| title | QFD-based optimization model for mitigating sustainable supply chain management adoption challenges for Bangladeshi RMG industries |
| title_full | QFD-based optimization model for mitigating sustainable supply chain management adoption challenges for Bangladeshi RMG industries |
| title_fullStr | QFD-based optimization model for mitigating sustainable supply chain management adoption challenges for Bangladeshi RMG industries |
| title_full_unstemmed | QFD-based optimization model for mitigating sustainable supply chain management adoption challenges for Bangladeshi RMG industries |
| title_short | QFD-based optimization model for mitigating sustainable supply chain management adoption challenges for Bangladeshi RMG industries |
| title_sort | QFD-based optimization model for mitigating sustainable supply chain management adoption challenges for Bangladeshi RMG industries |
| topic | Engineering Environmental engineering Environmental sciences Environmental management Quality function deployment Optimization model Sustainable supply chain management Sustainability performance |