Integration of supplier selection and resilient closed loop supply chain design and ranking based on fuzzy-MOORA-reference point method
Closed loop supply chain network design is of great important due to the legal requirements and economic benefits. Raw material suppliers are of the most important players of this supply chain. Most of the previous researchers studied the design problem separated from the supplier assessment. Some o...
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Format: | Article |
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Allameh Tabataba'i University Press
2022-06-01
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Series: | Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī |
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Online Access: | https://jims.atu.ac.ir/article_14267_768a97958dc027000d0bc59bafc59c68.pdf |
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author | Mehdi Seifbarghy Nastaran Bakhshizadeh |
author_facet | Mehdi Seifbarghy Nastaran Bakhshizadeh |
author_sort | Mehdi Seifbarghy |
collection | DOAJ |
description | Closed loop supply chain network design is of great important due to the legal requirements and economic benefits. Raw material suppliers are of the most important players of this supply chain. Most of the previous researchers studied the design problem separated from the supplier assessment. Some other criteria except for price, like the production process, the features of parts and reliability of supply have long term effects on the performance of supply chains. In this research a general closed loop supply chain network including production centres, disassembly, refurbishing, and disposal sites is considered. An integrated two-phase model is given so that in the first phase, the proposed fuzzy-MOORA-reference point method is applied to suppliers’ assessment and the results from this phase is used in the second phase. In the second phase, a three-objective mixed integer linear programming model is proposed in order to determine the eligible suppliers, the locations of refurbishing sites and the material flows between the supply chain members. The objective functions are maximizing profit, suppliers’ evaluation and resiliency scores. Unsatisfied demand of customers is lost. The numerical results show the validity of the model and the role of stockout option in reaching better solutions based on the LP-Metric method. |
first_indexed | 2024-03-08T17:21:10Z |
format | Article |
id | doaj.art-cc9860192e1c4fb9b07044f06916eded |
institution | Directory Open Access Journal |
issn | 2251-8029 2476-602X |
language | fas |
last_indexed | 2024-03-08T17:21:10Z |
publishDate | 2022-06-01 |
publisher | Allameh Tabataba'i University Press |
record_format | Article |
series | Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī |
spelling | doaj.art-cc9860192e1c4fb9b07044f06916eded2024-01-03T04:46:29ZfasAllameh Tabataba'i University PressMuṭāli̒āt-i Mudīriyyat-i Ṣan̒atī2251-80292476-602X2022-06-01206513710.22054/jims.2022.63110.269514267Integration of supplier selection and resilient closed loop supply chain design and ranking based on fuzzy-MOORA-reference point methodMehdi Seifbarghy0Nastaran Bakhshizadeh1Associate Professor, Department of Industrial Engineering, Faculty of Engineering, Al-Zahra University, Tehran, IranMaster's Degree, Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, IranClosed loop supply chain network design is of great important due to the legal requirements and economic benefits. Raw material suppliers are of the most important players of this supply chain. Most of the previous researchers studied the design problem separated from the supplier assessment. Some other criteria except for price, like the production process, the features of parts and reliability of supply have long term effects on the performance of supply chains. In this research a general closed loop supply chain network including production centres, disassembly, refurbishing, and disposal sites is considered. An integrated two-phase model is given so that in the first phase, the proposed fuzzy-MOORA-reference point method is applied to suppliers’ assessment and the results from this phase is used in the second phase. In the second phase, a three-objective mixed integer linear programming model is proposed in order to determine the eligible suppliers, the locations of refurbishing sites and the material flows between the supply chain members. The objective functions are maximizing profit, suppliers’ evaluation and resiliency scores. Unsatisfied demand of customers is lost. The numerical results show the validity of the model and the role of stockout option in reaching better solutions based on the LP-Metric method.https://jims.atu.ac.ir/article_14267_768a97958dc027000d0bc59bafc59c68.pdfclosed loop supply chain designsupplier evaluationresiliencymulti-objectivefuzzy-moora-reference point |
spellingShingle | Mehdi Seifbarghy Nastaran Bakhshizadeh Integration of supplier selection and resilient closed loop supply chain design and ranking based on fuzzy-MOORA-reference point method Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī closed loop supply chain design supplier evaluation resiliency multi-objective fuzzy-moora-reference point |
title | Integration of supplier selection and resilient closed loop supply chain design and ranking based on fuzzy-MOORA-reference point method |
title_full | Integration of supplier selection and resilient closed loop supply chain design and ranking based on fuzzy-MOORA-reference point method |
title_fullStr | Integration of supplier selection and resilient closed loop supply chain design and ranking based on fuzzy-MOORA-reference point method |
title_full_unstemmed | Integration of supplier selection and resilient closed loop supply chain design and ranking based on fuzzy-MOORA-reference point method |
title_short | Integration of supplier selection and resilient closed loop supply chain design and ranking based on fuzzy-MOORA-reference point method |
title_sort | integration of supplier selection and resilient closed loop supply chain design and ranking based on fuzzy moora reference point method |
topic | closed loop supply chain design supplier evaluation resiliency multi-objective fuzzy-moora-reference point |
url | https://jims.atu.ac.ir/article_14267_768a97958dc027000d0bc59bafc59c68.pdf |
work_keys_str_mv | AT mehdiseifbarghy integrationofsupplierselectionandresilientclosedloopsupplychaindesignandrankingbasedonfuzzymoorareferencepointmethod AT nastaranbakhshizadeh integrationofsupplierselectionandresilientclosedloopsupplychaindesignandrankingbasedonfuzzymoorareferencepointmethod |