Application of Artificial Intelligence and Decision Support System in Green Supply Chain Management

This article aims to discuss the construction of AI application and decision support system (DSS) in green supply chain management (GSCM) and its influence on the sustainable development of enterprises. This article proposes a DSS based on artificial intelligence (AI) technology, aiming at improving the collaborative efficiency of supply chain (SC) through intelligent means. Methodologically, the decision support model is constructed by using random forest (RF) algorithm, and the superiority of the model in inventory turnover rate, response speed and comprehensive performance index is verified by experiments. The experimental results show that compared with traditional methods and other advanced models, the model proposed in this study can significantly improve the efficiency of GSCM and reduce the operating costs and environmental impact. DSS based on AI is an effective way to promote the sustainable development of enterprises and realize green transformation. In the future, with the progress of AI technology, the system is expected to bring more significant economic and environmental benefits to enterprises.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/iiotbdsc64371.2024.00059
Primary Topic
E-commerce and Technology Innovations
Type
article
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article

Application of Artificial Intelligence and Decision Support System in Green Supply Chain Management

Ling-Kang Zhang, Qi Chang
E-commerce and Technology Innovations
article

Application of Artificial Intelligence and Decision Support System in Green Supply Chain Management

Ling-Kang Zhang, Qi Chang
article en

Abstract

This article aims to discuss the construction of AI application and decision support system (DSS) in green supply chain management (GSCM) and its influence on the sustainable development of enterprises. This article proposes a DSS based on artificial intelligence (AI) technology, aiming at improving the collaborative efficiency of supply chain (SC) through intelligent means. Methodologically, the decision support model is constructed by using random forest (RF) algorithm, and the superiority of the model in inventory turnover rate, response speed and comprehensive performance index is verified by experiments. The experimental results show that compared with traditional methods and other advanced models, the model proposed in this study can significantly improve the efficiency of GSCM and reduce the operating costs and environmental impact. DSS based on AI is an effective way to promote the sustainable development of enterprises and realize green transformation. In the future, with the progress of AI technology, the system is expected to bring more significant economic and environmental benefits to enterprises.

City University of Macau (MO)
Openalex Percentile: Top 50%
E-commerce and Technology Innovations
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