Title: Modelling and optimisation of reverse logistics network under fuzzy environment

Authors: Chandra Prakash Garg

Addresses: Department of Transportation Management, School of Business, University of Petroleum and Energy Studies (UPES), Dehradun, 248007, India

Abstract: Resource recovery, environmental protection, sustainable production and consumption have got much attention in recent times because of growing ecological and social concern, economic issues and government regulations. In order to recover products, which include reuse, refurbishing, recycling and proper disposal of wastes that can help reduce their impact on environment, human and society, demands an effective reverse logistics (RL) network structure. In this paper, multi-product, multi-facility and multi-stage RL network is designed under uncertain environment and optimisation of the proposed network is analysed by fuzzy mixed integer linear programming (MILP) model with the aim of optimising total RL profit, quantity flows and facility locations. The proposed model is further supported by a numerical example of electronics products. Subsequently, the robustness of the model verifies the balanced relationship between the degree of feasibility and the degree of satisfaction of the management.

Keywords: reverse logistics network; mixed integer linear programming; MILP; fuzzy; electronics products.

DOI: 10.1504/IJOR.2022.124111

International Journal of Operational Research, 2022 Vol.44 No.3, pp.360 - 388

Received: 17 Jun 2019
Accepted: 09 Aug 2019

Published online: 13 Jul 2022 *

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