Sustainable closed-loop supply chain network design: heuristic hybrid approach with considering inflation and carbon emission policies
Purpose: Establishing the structure and expansion of sustainable closed-loop supply chains is critical to meeting environmental, economic, and social standards to strengthen their position in competitive markets. This study aims to decide on operational and tactical levels to configure the Stable Cl...
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Ayandegan Institute of Higher Education, Tonekabon,
2023-11-01
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Series: | تصمیم گیری و تحقیق در عملیات |
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Online Access: | https://www.journal-dmor.ir/article_180793_b58e7179468a0aa0b7d9eac17088f4a1.pdf |
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author | Saeid Kalantari Hamed Kazemipoor Farzad Movahedi Sobhani Seyyed Mohammad Hadji Molana |
author_facet | Saeid Kalantari Hamed Kazemipoor Farzad Movahedi Sobhani Seyyed Mohammad Hadji Molana |
author_sort | Saeid Kalantari |
collection | DOAJ |
description | Purpose: Establishing the structure and expansion of sustainable closed-loop supply chains is critical to meeting environmental, economic, and social standards to strengthen their position in competitive markets. This study aims to decide on operational and tactical levels to configure the Stable Closed Chain Supply Chain Network (SCLSC) to maximize Net Present Value (NPV) and seek to minimize carbon emissions while maintaining environmentally friendly policies and considering inflation.Methodology: This paper considers a solid Fuzzy Robust Optimization (FRO) approach to deal with stable, closed-loop supply chain uncertainties. Also, due to the complexity of the model and its multi-objective, a new combined method of Heuristic algorithm (HA) and Multi-Choice Goal Programming with Utility Function (MCGP-UF) is used. The proposed Mixed Integer Linear Programming (MILP) model is applied in the electronics industry.Findings: The proposed model is evaluated in several experiments and discussed in different scenarios to confirm the efficiency and validity of the proposed model and method. The results were compared with the two factors of optimal gap and solution time, which showed the proper performance of the proposed method. Then, the tactical results and model strategy were presented for a case study in which the optimal flow between facilities, selection of suitable suppliers, selection of transportation type, and opening of facilities were presented. The findings showed that in different scenarios, the effective improvement of the obtained solutions by reducing the solution time by twenty percent could address large-scale problems.Originality/Value: By considering a new combined method of heuristic algorithm and multi-choice ideal programming with a utility function, this paper is done to solve the problem of designing a stable closed-loop supply chain network under uncertainty. |
format | Article |
id | doaj-art-3408a5665bc14ece8e7c120c7f4c7db8 |
institution | Kabale University |
issn | 2538-5097 2676-6159 |
language | fas |
publishDate | 2023-11-01 |
publisher | Ayandegan Institute of Higher Education, Tonekabon, |
record_format | Article |
series | تصمیم گیری و تحقیق در عملیات |
spelling | doaj-art-3408a5665bc14ece8e7c120c7f4c7db82025-01-30T15:03:34ZfasAyandegan Institute of Higher Education, Tonekabon,تصمیم گیری و تحقیق در عملیات2538-50972676-61592023-11-018493195310.22105/dmor.2021.311543.1513180793Sustainable closed-loop supply chain network design: heuristic hybrid approach with considering inflation and carbon emission policiesSaeid Kalantari0Hamed Kazemipoor1Farzad Movahedi Sobhani2Seyyed Mohammad Hadji Molana3Department of Industrial Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran.Department of Industrial Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran.Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.Purpose: Establishing the structure and expansion of sustainable closed-loop supply chains is critical to meeting environmental, economic, and social standards to strengthen their position in competitive markets. This study aims to decide on operational and tactical levels to configure the Stable Closed Chain Supply Chain Network (SCLSC) to maximize Net Present Value (NPV) and seek to minimize carbon emissions while maintaining environmentally friendly policies and considering inflation.Methodology: This paper considers a solid Fuzzy Robust Optimization (FRO) approach to deal with stable, closed-loop supply chain uncertainties. Also, due to the complexity of the model and its multi-objective, a new combined method of Heuristic algorithm (HA) and Multi-Choice Goal Programming with Utility Function (MCGP-UF) is used. The proposed Mixed Integer Linear Programming (MILP) model is applied in the electronics industry.Findings: The proposed model is evaluated in several experiments and discussed in different scenarios to confirm the efficiency and validity of the proposed model and method. The results were compared with the two factors of optimal gap and solution time, which showed the proper performance of the proposed method. Then, the tactical results and model strategy were presented for a case study in which the optimal flow between facilities, selection of suitable suppliers, selection of transportation type, and opening of facilities were presented. The findings showed that in different scenarios, the effective improvement of the obtained solutions by reducing the solution time by twenty percent could address large-scale problems.Originality/Value: By considering a new combined method of heuristic algorithm and multi-choice ideal programming with a utility function, this paper is done to solve the problem of designing a stable closed-loop supply chain network under uncertainty.https://www.journal-dmor.ir/article_180793_b58e7179468a0aa0b7d9eac17088f4a1.pdffuzzy robust optimizationnet present valuemulti-choice goal programming with utility functionsustainable closed-loop supply chainheuristic algorithm |
spellingShingle | Saeid Kalantari Hamed Kazemipoor Farzad Movahedi Sobhani Seyyed Mohammad Hadji Molana Sustainable closed-loop supply chain network design: heuristic hybrid approach with considering inflation and carbon emission policies تصمیم گیری و تحقیق در عملیات fuzzy robust optimization net present value multi-choice goal programming with utility function sustainable closed-loop supply chain heuristic algorithm |
title | Sustainable closed-loop supply chain network design: heuristic hybrid approach with considering inflation and carbon emission policies |
title_full | Sustainable closed-loop supply chain network design: heuristic hybrid approach with considering inflation and carbon emission policies |
title_fullStr | Sustainable closed-loop supply chain network design: heuristic hybrid approach with considering inflation and carbon emission policies |
title_full_unstemmed | Sustainable closed-loop supply chain network design: heuristic hybrid approach with considering inflation and carbon emission policies |
title_short | Sustainable closed-loop supply chain network design: heuristic hybrid approach with considering inflation and carbon emission policies |
title_sort | sustainable closed loop supply chain network design heuristic hybrid approach with considering inflation and carbon emission policies |
topic | fuzzy robust optimization net present value multi-choice goal programming with utility function sustainable closed-loop supply chain heuristic algorithm |
url | https://www.journal-dmor.ir/article_180793_b58e7179468a0aa0b7d9eac17088f4a1.pdf |
work_keys_str_mv | AT saeidkalantari sustainableclosedloopsupplychainnetworkdesignheuristichybridapproachwithconsideringinflationandcarbonemissionpolicies AT hamedkazemipoor sustainableclosedloopsupplychainnetworkdesignheuristichybridapproachwithconsideringinflationandcarbonemissionpolicies AT farzadmovahedisobhani sustainableclosedloopsupplychainnetworkdesignheuristichybridapproachwithconsideringinflationandcarbonemissionpolicies AT seyyedmohammadhadjimolana sustainableclosedloopsupplychainnetworkdesignheuristichybridapproachwithconsideringinflationandcarbonemissionpolicies |