| dc.description.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. | en_US |
