Social-economic and environment impacts for a fish reverse supply chain: A mixed integer linear optimization approach

This study contributes to the fish reverse supply chain due to a lack of social, economic and environmental impacts. This study aims to develop a mathematical model for the fish reverse supply chain with a multi-echelon, multiple periods, and products. The model optimizes total profit, job opportuni...

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Main Authors: Iwan Vanany, Ivan Darma Wangsa, Niken Anggraini Savitri, Rizki Revianto Putera, Muhammad Cholili, Berto Mulia Wibawa, Lukman Atmaja, Ming-Lang Tseng
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Cleaner Logistics and Supply Chain
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Online Access:http://www.sciencedirect.com/science/article/pii/S2772390924000519
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author Iwan Vanany
Ivan Darma Wangsa
Niken Anggraini Savitri
Rizki Revianto Putera
Muhammad Cholili
Berto Mulia Wibawa
Lukman Atmaja
Ming-Lang Tseng
author_facet Iwan Vanany
Ivan Darma Wangsa
Niken Anggraini Savitri
Rizki Revianto Putera
Muhammad Cholili
Berto Mulia Wibawa
Lukman Atmaja
Ming-Lang Tseng
author_sort Iwan Vanany
collection DOAJ
description This study contributes to the fish reverse supply chain due to a lack of social, economic and environmental impacts. This study aims to develop a mathematical model for the fish reverse supply chain with a multi-echelon, multiple periods, and products. The model optimizes total profit, job opportunities, and carbon emissions simultaneously. The proposed model provides social-economic insight for governments and industries to understand the increasing job opportunities if fish gelatine and powder industries can process fish waste. A sensitivity analysis shows that the supply of raw fish, selling prices, and purchasing costs are sensitive to total profit, carbon emissions, and job opportunities. The results show that the total profit for five months is USD 1,437,837, and the most significant contribution to the total cost is the costs of purchasing, emission costs, and production costs, which are 43.83%, 24.02%, and 18.15%, respectively. These results can assist managers in making optimal decisions regarding raw fish supply, halal fish gelatine, and fish powder production, impacting strategic, tactical, and operational policies.
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issn 2772-3909
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series Cleaner Logistics and Supply Chain
spelling doaj-art-d2dc90f6b20140e6bbfe07c70d919aad2025-08-20T02:32:12ZengElsevierCleaner Logistics and Supply Chain2772-39092024-12-011310018910.1016/j.clscn.2024.100189Social-economic and environment impacts for a fish reverse supply chain: A mixed integer linear optimization approachIwan Vanany0Ivan Darma Wangsa1Niken Anggraini Savitri2Rizki Revianto Putera3Muhammad Cholili4Berto Mulia Wibawa5Lukman Atmaja6Ming-Lang Tseng7Department of Industrial and Systems Engineering, Institut Teknologi Sepuluh Nopember, Indonesia; Corresponding author.Department of Industrial and Systems Engineering, Institut Teknologi Sepuluh Nopember, IndonesiaDepartment of Industrial and Systems Engineering, Institut Teknologi Sepuluh Nopember, IndonesiaDepartment of Industrial and Systems Engineering, Institut Teknologi Sepuluh Nopember, IndonesiaDepartment of Industrial and Systems Engineering, Institut Teknologi Sepuluh Nopember, IndonesiaDepartment of Business Management, Institut Teknologi Sepuluh Nopember, IndonesiaDepartment of Chemistry, Institut Teknologi Sepuluh Nopember, Surabaya, IndonesiaInstitute of Innovation and Circular Economy, Asia University, TaiwanThis study contributes to the fish reverse supply chain due to a lack of social, economic and environmental impacts. This study aims to develop a mathematical model for the fish reverse supply chain with a multi-echelon, multiple periods, and products. The model optimizes total profit, job opportunities, and carbon emissions simultaneously. The proposed model provides social-economic insight for governments and industries to understand the increasing job opportunities if fish gelatine and powder industries can process fish waste. A sensitivity analysis shows that the supply of raw fish, selling prices, and purchasing costs are sensitive to total profit, carbon emissions, and job opportunities. The results show that the total profit for five months is USD 1,437,837, and the most significant contribution to the total cost is the costs of purchasing, emission costs, and production costs, which are 43.83%, 24.02%, and 18.15%, respectively. These results can assist managers in making optimal decisions regarding raw fish supply, halal fish gelatine, and fish powder production, impacting strategic, tactical, and operational policies.http://www.sciencedirect.com/science/article/pii/S2772390924000519Reverse supply chainMixed-integer linear programmingenvironmental ImpactsSocial-economic insightCarbon emissions
spellingShingle Iwan Vanany
Ivan Darma Wangsa
Niken Anggraini Savitri
Rizki Revianto Putera
Muhammad Cholili
Berto Mulia Wibawa
Lukman Atmaja
Ming-Lang Tseng
Social-economic and environment impacts for a fish reverse supply chain: A mixed integer linear optimization approach
Cleaner Logistics and Supply Chain
Reverse supply chain
Mixed-integer linear programming
environmental Impacts
Social-economic insight
Carbon emissions
title Social-economic and environment impacts for a fish reverse supply chain: A mixed integer linear optimization approach
title_full Social-economic and environment impacts for a fish reverse supply chain: A mixed integer linear optimization approach
title_fullStr Social-economic and environment impacts for a fish reverse supply chain: A mixed integer linear optimization approach
title_full_unstemmed Social-economic and environment impacts for a fish reverse supply chain: A mixed integer linear optimization approach
title_short Social-economic and environment impacts for a fish reverse supply chain: A mixed integer linear optimization approach
title_sort social economic and environment impacts for a fish reverse supply chain a mixed integer linear optimization approach
topic Reverse supply chain
Mixed-integer linear programming
environmental Impacts
Social-economic insight
Carbon emissions
url http://www.sciencedirect.com/science/article/pii/S2772390924000519
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