Title: A mixed integer linear programming model for designing a green closed-loop supply chain network considering location-routing problem

Authors: Alvand Sadeghi; Hassan Mina; Niloofar Bahrami

Addresses: School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran ' School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran ' School of Industrial Engineering, College of Engineering, Khatam University, Tehran, Iran

Abstract: In today's business environment, reusing the products could result in a great deal of supply chains cost reductions. Additionally, environmental regulations and customers' increasing expectations leave companies no choice but applying the return policy. In this regard, designing a supply chain network incorporating the reverse flow can provide environmental requirements in addition to economic objectives. In this paper, a new mixed integer linear programming (MILP) model is developed for a closed-loop supply chain network (CLSCN) design. The proposed model is multi-period and multi-product that covers facility location and routing of heterogeneous vehicle fleets, simultaneously. The efficiency of the model is validated based on a real case in production and distribution chain of automotive spare parts manufacturing company in Iran. Managerial insights are gained through the numerical results.

Keywords: closed-loop supply chain; location-routing problem; mixed integer linear programming model.

DOI: 10.1504/IJLSM.2020.107389

International Journal of Logistics Systems and Management, 2020 Vol.36 No.2, pp.177 - 198

Received: 06 Jul 2018
Accepted: 24 Sep 2018

Published online: 26 May 2020 *

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