Title: A green closed-loop supply chain network: a bi-objective mixed integer linear programming model

Authors: Sobhgol Gholipour; Farhad Salehian; Hassan Lamouchi; Hassan Mina

Addresses: Department of Computer Engineering, Sharif University of Technology, Tehran, Iran ' School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran ' Department of Industrial Engineering, College of Engineering, Islamic Azad University, Parsian Branch, Hormozgan, Iran ' School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

Abstract: The increasing level of customer awareness and application of environmental laws by governments, on the one hand, and the increasing number of competitors, on the other hand, has obliged industry owners to include green activities in the design of the supply chain network. Green activities include any type of action that reduces environmental degradation. Hence, this study seeks to develop a bi-objective, mixed integer linear programming (MILP) model for designing a green supply chain network. In the proposed model, the minimisation of costs and detrimental environmental effects are discussed. LP metric method is used to solve the bi-objective model and the proposed model is run by using simulated data in small and medium sizes in GAMS software. Finally, the model sensitivity analysis is measured in order to evaluate the validity and performance of the proposed model by using demand-driven scenarios. The results of this model indicate the effectiveness of the proposed model.

Keywords: closed-loop supply chain network; CLSCN; mathematical model; green supply chain management.

DOI: 10.1504/IJOR.2021.117078

International Journal of Operational Research, 2021 Vol.41 No.4, pp.492 - 513

Received: 26 May 2018
Accepted: 05 Mar 2019

Published online: 16 Aug 2021 *

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