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Designing a sustainable integrated forward/reverse logistics network

Hamed Farrokhi-Asl (Iran University of Science and Technology, Tehran, Iran)
Ahmad Makui (Department of Industrial Engineering, Iran University of Science and Technology, Narmak, Iran)
Roozbeh Ghousi (Department of Industrial Engineering, Iran University of Science and Technology, Narmak, Iran)
Masoud Rabbani (College of Engineering, University of Tehran, Tehran, Iran)

Journal of Modelling in Management

ISSN: 1746-5664

Article publication date: 1 October 2019

Issue publication date: 4 October 2019

447

Abstract

Purpose

In recent years, governmental regulations and the pressure of non-governmental organizations have convinced corporations to consider sustainable issues in their decisions. A simultaneous design of forward and reverse logistics can keep us away from sub-optimality caused by tackling these two phases (forward and reverse logistics) separately.

Design/methodology/approach

Hence, this paper presents a new multi-objective mathematical model for integrated forward and reverse logistics regarding economic, environmental and social issues. A new hybrid multi-objective metaheuristic algorithm is developed to obtain a set of efficient solutions (Pareto solutions). The proposed algorithm hybridizes a well-known, non-dominated genetic algorithm (NSGA-II) with a simulated annealing algorithm.

Findings

To validate the algorithm, its results are compared to the obtained solutions from simple NSGA-II with respect to some comparison metrics. The numerical results show the efficiency of the proposed algorithm. Finally, concluding remarks and future research directions are provided.

Originality/value

By applying a model presented in this paper, one can reach to sustainable and integrated logistics network which considers forward and reverse flow of commodities simultaneously.

Keywords

Citation

Farrokhi-Asl, H., Makui, A., Ghousi, R. and Rabbani, M. (2019), "Designing a sustainable integrated forward/reverse logistics network", Journal of Modelling in Management, Vol. 14 No. 4, pp. 896-921. https://doi.org/10.1108/JM2-09-2018-0136

Publisher

:

Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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