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Developing benders decomposition algorithm for a green supply chain network of mine industry: Case of Iranian mine industry

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  • Attari, Mahdi Yousefi Nejad
  • Torkayesh, Ali Ebadi

Abstract

This paper attempts to design a three-echelon supply chain network for mine industry considering suppliers, manufacturing centers and distributors with different kinds of vehicles. A multi-objective mixed integer programming model is proposed to minimize transportation costs, shortage costs, purchase costs, production costs and CO2 emissions of vehicles with fuzzy demand values. ε-constraint method is used in order to convert multiple objective functions to a single objective function. Benders decomposition algorithm is applied to solve the model under three demand-based scenarios. A case study is done on Iranian mine industry to present the significance and applicability of the proposed model in a real-life case problem as well as the efficiency of Benders decomposition.

Suggested Citation

  • Attari, Mahdi Yousefi Nejad & Torkayesh, Ali Ebadi, 2018. "Developing benders decomposition algorithm for a green supply chain network of mine industry: Case of Iranian mine industry," Operations Research Perspectives, Elsevier, vol. 5(C), pages 371-382.
    • Handle: RePEc:eee:oprepe:v:5:y:2018:i:c:p:371-382
    DOI: 10.1016/j.orp.2018.11.002
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    2. Niloofar Jahani & Arash Sepehri & Hadi Rezaei Vandchali & Erfan Babaee Tirkolaee, 2021. "Application of Industry 4.0 in the Procurement Processes of Supply Chains: A Systematic Literature Review," Sustainability, MDPI, vol. 13(14), pages 1-25, July.
    3. Arabi, Mahsa & Gholamian, Mohammad Reza, 2023. "Resilient closed-loop supply chain network design considering quality uncertainty: A case study of stone quarries," Resources Policy, Elsevier, vol. 80(C).
    4. Zeng, Lanyan & Liu, Shi Qiang & Kozan, Erhan & Corry, Paul & Masoud, Mahmoud, 2021. "A comprehensive interdisciplinary review of mine supply chain management," Resources Policy, Elsevier, vol. 74(C).

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