Optimization of a sustainable closed loop supply chain network design under uncertainty using multi-objective evolutionary algorithms

Ehsan Pourjavad · René V. Mayorga

37 citations0/0 files storedAdvances in Production Engineering & Management

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Sustainable Supply Chain Management Process Optimization and Integration Optimization and Mathematical Programming

Abstract

Environmental, social and economic concerns have highlighted the importance of closed loop supply chain (CLSC) network design problem according to sustainable development. In addition, the uncertainty in decision elements adds to the complexity of this problem. Hence, this paper aims to propose a fuzzy multi-objective mixed integer linear programming (FMOMILP) model for a multi-echelon and multi-period CLSC network that minimize cost and environmental effects and maximize social impacts, simultaneously. At first, the model is converted into a multi-objective mixed-integer linear programming (MOMILP) model by the weighted average method. Due to NPhardness of the problem, a non-dominated sorting genetic algorithm-II (NSGA-II) is developed to solve this multi-objective mathematical model. The obtained results are validated with the non-dominated ranking genetic algorithm (NRGA), due to there is no benchmark for this problem. In addition, different numerical instances are presented and analyzed with different measures in order to indicate the efficiency of proposed algorithms. The provided results demonstrate that the proposed NSGA-II algorithm is an adequate tool to solve the multi-objective problem of CLSC network design.

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References

1981Multiple Attribute Decision Making 2007Green supply‐chain management: A state‐of‐the‐art literature review 1979Multiple Objective Decision Making ― Methods and Applications: A State-of-the-Art Survey 2010A robust optimization approach to closed-loop supply chain network design under uncertainty 2012A multi-objective facility location model for closed-loop supply chain network under uncertain demand and return 2012A new multi-objective stochastic model for a forward/reverse logistic network design with responsiveness and quality level 2014A hybrid particle swarm optimization and genetic algorithm for closed-loop supply chain network design in large-scale networks 2009A closed-loop logistic model with a spanning-tree based genetic algorithm

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2021Application of optimization methods in the closed-loop supply chain: a literature review 2021An efficient Lagrangian-based heuristic to solve a multi-objective sustainable supply chain problem

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