NSGA-II-based study of carbon emissions in service-based manufacturing supply chains Online publication date: Wed, 31-Jul-2024
by Ruipeng Wang; Yuhong Tai; Li Ma
International Journal of Internet Manufacturing and Services (IJIMS), Vol. 10, No. 2/3, 2024
Abstract: This paper introduces the concept of a service-based manufacturing supply chain, and explores the different performance of logistics cost and carbon emission with different number of supply chain participants by the NSGA-II algorithm. This study expands the scope and application perspective of genetic algorithms in supply chain management and provides theoretical explanations and model support for low-carbon transformation and low-cost operations in service-based manufacturing supply chains. Three main results are presented: 1) carbon emissions and logistics costs are negatively correlated with the number of iterations, and as the number of iterations increases, these two values first decrease, then slow down and finally stabilise; 2) the iteration curves of carbon emissions and logistics costs show a high degree of similarity; 3) firms in service manufacturing supply chains need to focus on both carbon emissions and logistics costs.
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