Integration of novel uncertainty model construction of green supply chain management for small and medium-sized enterprises using artificial intelligence

Abstract

In this paper to promote the coordinated growth of the economy and the environment, green supply chain management requires businesses to pay attention to environmental protection, energy conservation, and emission reduction in the closed loop of the entire life cycle, including initial research and development and design, procurement and selection of materials, production, external sales, recycling, and waste disposal. This paper also combines artificial intelligence deep learning technology to build a green supply chain management system for small and medium-sized enterprises, improving the intelligent algorithm and creating an intelligent model. These two factors together improve the effect of green supply chain management for small and medium-sized enterprises. The results of the experimental research demonstrate that the green supply chain management system for small and medium-sized businesses built in this paper, which is based on artificial intelligence deep learning technology, has good management and decision-making effects and can successfully reduce the carbon emissions of the supply chain of small and medium-sized businesses.