Title: Green supply chain network design considering inventory-location-routing problem: a fuzzy solution approach

Authors: Sobhgol Gholipour; Amir Ashoftehfard; Hassan Mina

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

Abstract: The growing rate of population and technological advancement have led to an increase in natural resource consumption, which has caused irreparable damage to the environment. The implementation of green supply chain management is one of the most effective ways to deal with environmental degradation. Therefore, in this paper, a bi-objective mixed integer linear programming model is developed to design a green supply chain network. In the proposed model, the possibility of customer storage, being faced with shortage, locating of distribution centres, green vehicle routing problem, split delivery, multi-depot vehicle routing problem (VRP), capacitated VRP, and uncertainty in demands will be considered. The aim of the proposed model is to minimise the total cost and total shortages simultaneously and, therefore, a fuzzy solution approach is applied for this purpose. The results of implementing this model in a production chain of automotive parts in Iran indicate the exact and efficient performance of the proposed model.

Keywords: green supply chain management; mathematical programming; location-routing problem; fuzzy theory.

DOI: 10.1504/IJLSM.2020.106272

International Journal of Logistics Systems and Management, 2020 Vol.35 No.4, pp.436 - 452

Received: 21 Apr 2018
Accepted: 27 Jun 2018
Published online: 02 Apr 2020 *

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