Skip to main navigation Skip to search Skip to main content

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

  • Iwan Vanany
  • , Ivan Darma Wangsa
  • , Niken Anggraini Savitri
  • , Rizki Revianto Putera
  • , Muhammad Cholili
  • , Berto Mulia Wibawa
  • , Lukman Atmaja
  • , Ming Lang Tseng
  • Institut Teknologi Sepuluh Nopember
  • Asia University

Research output: Contribution to journalArticlepeer-review

10 Downloads (Pure)

Abstract

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.

Original languageEnglish
Article number100189
Number of pages21
JournalCleaner Logistics and Supply Chain
Volume13
Early online date15 Nov 2024
DOIs
Publication statusPublished - Dec 2024
Externally publishedYes

Bibliographical note

Open access CC-BY-NC-ND

Funding

This research was funded by the Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia, grant number 906/PKS/ITS/2022.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Carbon emissions
  • environmental Impacts
  • Mixed-integer linear programming
  • Reverse supply chain
  • Social-economic insight

ASJC Scopus subject areas

  • Environmental Science (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Management, Monitoring, Policy and Law
  • Management of Technology and Innovation

Fingerprint

Dive into the research topics of 'Social-economic and environment impacts for a fish reverse supply chain: A mixed integer linear optimization approach'. Together they form a unique fingerprint.

Cite this