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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Main Authors: Saeid Kalantari, Hamed Kazemipoor, Farzad Movahedi Sobhani, Seyyed Mohammad Hadji Molana
Format: Article
Language:fas
Published: Ayandegan Institute of Higher Education, Tonekabon, 2023-11-01
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.
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institution Kabale University
issn 2538-5097
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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
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AT hamedkazemipoor sustainableclosedloopsupplychainnetworkdesignheuristichybridapproachwithconsideringinflationandcarbonemissionpolicies
AT farzadmovahedisobhani sustainableclosedloopsupplychainnetworkdesignheuristichybridapproachwithconsideringinflationandcarbonemissionpolicies
AT seyyedmohammadhadjimolana sustainableclosedloopsupplychainnetworkdesignheuristichybridapproachwithconsideringinflationandcarbonemissionpolicies