Multi-Objective Optimization Model For Integrated Problem Of Green Closed Loop Supply Chain Network Design

Abstract

Indeed, supply chain management is crucial in today's globalised and interdependent business environment. The developed model incorporates numerous variables, such as facility locations, transportation routes, inventory levels, and product flows, to reflect the complexity of Green CLSC scenarios in the real world. In order to convey the practical difficulties encountered by supply chain administrators, uncertainty and stochastic factors are also considered. The model's primary objectives are to minimise total cost and environmental emissions while maximising social impact. Two distinct optimisation methods, the weighted method and the augmented ε-constraint method, are proposed to resolve the multidimensional character of the problem. The purpose of this paper is to compare and classify the efficacy of these two approaches in determining the most optimal solution for the Green CLSC network design problem. As businesses continue to adopt sustainable practises, the findings of this study will assist decision-makers in making informed decisions, thereby fostering the development of environmentally and socially responsible supply chains.