A multi-objective robust possibilistic programming approach to designing sustainable and reliable closed-loop supply chain network (case study: aluminum industry)
Purpose: In this research, a multi-product and multi-period closed-loop supply chain design problem with three objectives of profitability, social responsibility, and reliability under uncertain conditions has been considered.Methodology: Triangular fuzzy numbers have been used for non-deterministic...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | fas |
| Published: |
Ayandegan Institute of Higher Education, Tonekabon,
2024-08-01
|
| Series: | تصمیم گیری و تحقیق در عملیات |
| Subjects: | |
| Online Access: | https://www.journal-dmor.ir/article_194212_568b0573630f2dcd6bb25e24bcc2c9b4.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832577792045219840 |
|---|---|
| author | Sajad Amirian Maghsoud Amiri Mohammad Taghi Taghavifard |
| author_facet | Sajad Amirian Maghsoud Amiri Mohammad Taghi Taghavifard |
| author_sort | Sajad Amirian |
| collection | DOAJ |
| description | Purpose: In this research, a multi-product and multi-period closed-loop supply chain design problem with three objectives of profitability, social responsibility, and reliability under uncertain conditions has been considered.Methodology: Triangular fuzzy numbers have been used for non-deterministic parameters, and a robust probabilistic programming approach with the Me scale has been used to deal with fuzzy constraints. The proposed approach eliminates the need for iterative consideration by decision-makers by providing unlimited choices from the optimism-pessimism spectrum. The mathematical model developed in this research is of mixed integer linear programming type, which is implemented in GAMS software to solve it and find Pareto optimal solutions.Findings: The accuracy of the overall performance of the proposed model has been evaluated with four examples (based on the coefficients of the objective functions) from a case study in the aluminium industry. The sensitivity analysis of the demand parameter showed that the proposed model achieved more economic profit, less social responsibility, and less reliability with increasing demand.Originality/Value: The variability of the justified decision space in the Me criterion has helped to solve the supply chain network design problem more flexibly and closer to reality through the possibility of exchange between the objective function and the risk-taking level of the managers. |
| format | Article |
| id | doaj-art-19153937966646b3a4a5704c0be8f6c0 |
| institution | Kabale University |
| issn | 2538-5097 2676-6159 |
| language | fas |
| publishDate | 2024-08-01 |
| publisher | Ayandegan Institute of Higher Education, Tonekabon, |
| record_format | Article |
| series | تصمیم گیری و تحقیق در عملیات |
| spelling | doaj-art-19153937966646b3a4a5704c0be8f6c02025-01-30T15:03:45ZfasAyandegan Institute of Higher Education, Tonekabon,تصمیم گیری و تحقیق در عملیات2538-50972676-61592024-08-019248552410.22105/dmor.2024.407233.1768194212A multi-objective robust possibilistic programming approach to designing sustainable and reliable closed-loop supply chain network (case study: aluminum industry)Sajad Amirian0Maghsoud Amiri1Mohammad Taghi Taghavifard2Department of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba’i University, Tehran, Iran.Department of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba’i University, Tehran, Iran.Department of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba’i University, Tehran, Iran.Purpose: In this research, a multi-product and multi-period closed-loop supply chain design problem with three objectives of profitability, social responsibility, and reliability under uncertain conditions has been considered.Methodology: Triangular fuzzy numbers have been used for non-deterministic parameters, and a robust probabilistic programming approach with the Me scale has been used to deal with fuzzy constraints. The proposed approach eliminates the need for iterative consideration by decision-makers by providing unlimited choices from the optimism-pessimism spectrum. The mathematical model developed in this research is of mixed integer linear programming type, which is implemented in GAMS software to solve it and find Pareto optimal solutions.Findings: The accuracy of the overall performance of the proposed model has been evaluated with four examples (based on the coefficients of the objective functions) from a case study in the aluminium industry. The sensitivity analysis of the demand parameter showed that the proposed model achieved more economic profit, less social responsibility, and less reliability with increasing demand.Originality/Value: The variability of the justified decision space in the Me criterion has helped to solve the supply chain network design problem more flexibly and closer to reality through the possibility of exchange between the objective function and the risk-taking level of the managers.https://www.journal-dmor.ir/article_194212_568b0573630f2dcd6bb25e24bcc2c9b4.pdfsustainabilityreliabilityclosed-loop supply chain networkrobust possibilistic programming |
| spellingShingle | Sajad Amirian Maghsoud Amiri Mohammad Taghi Taghavifard A multi-objective robust possibilistic programming approach to designing sustainable and reliable closed-loop supply chain network (case study: aluminum industry) تصمیم گیری و تحقیق در عملیات sustainability reliability closed-loop supply chain network robust possibilistic programming |
| title | A multi-objective robust possibilistic programming approach to designing sustainable and reliable closed-loop supply chain network (case study: aluminum industry) |
| title_full | A multi-objective robust possibilistic programming approach to designing sustainable and reliable closed-loop supply chain network (case study: aluminum industry) |
| title_fullStr | A multi-objective robust possibilistic programming approach to designing sustainable and reliable closed-loop supply chain network (case study: aluminum industry) |
| title_full_unstemmed | A multi-objective robust possibilistic programming approach to designing sustainable and reliable closed-loop supply chain network (case study: aluminum industry) |
| title_short | A multi-objective robust possibilistic programming approach to designing sustainable and reliable closed-loop supply chain network (case study: aluminum industry) |
| title_sort | multi objective robust possibilistic programming approach to designing sustainable and reliable closed loop supply chain network case study aluminum industry |
| topic | sustainability reliability closed-loop supply chain network robust possibilistic programming |
| url | https://www.journal-dmor.ir/article_194212_568b0573630f2dcd6bb25e24bcc2c9b4.pdf |
| work_keys_str_mv | AT sajadamirian amultiobjectiverobustpossibilisticprogrammingapproachtodesigningsustainableandreliableclosedloopsupplychainnetworkcasestudyaluminumindustry AT maghsoudamiri amultiobjectiverobustpossibilisticprogrammingapproachtodesigningsustainableandreliableclosedloopsupplychainnetworkcasestudyaluminumindustry AT mohammadtaghitaghavifard amultiobjectiverobustpossibilisticprogrammingapproachtodesigningsustainableandreliableclosedloopsupplychainnetworkcasestudyaluminumindustry AT sajadamirian multiobjectiverobustpossibilisticprogrammingapproachtodesigningsustainableandreliableclosedloopsupplychainnetworkcasestudyaluminumindustry AT maghsoudamiri multiobjectiverobustpossibilisticprogrammingapproachtodesigningsustainableandreliableclosedloopsupplychainnetworkcasestudyaluminumindustry AT mohammadtaghitaghavifard multiobjectiverobustpossibilisticprogrammingapproachtodesigningsustainableandreliableclosedloopsupplychainnetworkcasestudyaluminumindustry |