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

Mahdi Yousefi Nejad Attari and Ali Ebadi Torkayesh

Operations Research Perspectives, 2018, vol. 5, issue C, 371-382

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.

Keywords: Supply chain management; Benders decomposition; Iranian mine industry; ε-constraint method (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:oprepe:v:5:y:2018:i:c:p:371-382

DOI: 10.1016/j.orp.2018.11.002

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