Decision-making in low-carbon supply chain networks considering demand uncertainty

被引：0

作者：

Li Y. ^{[1
,2
]}

Wang J. ^{[1
]}

机构：

[1] School of Economics and Management, Yanshan University, Qinhuangdao

[2] Department of Business and Trade, Qinhuangdao Vocational and Technical College, Hebei, Qinhuangdao

来源：

Neural Computing and Applications | 2024年 / 36卷 / 17期

关键词：

Carbon tax policy; Multi-agent structure; Pricing strategies; Supply chain; Uncertainty;

D O I：

10.1007/s00521-024-09595-0

中图分类号：

学科分类号：

摘要：

This paper studies supply chain pricing and production/ordering decisions under carbon tax policy and retailer’s stochastic demand. Firstly, a supply chain model with random demand obeying normal distribution is established. Based on this, a stochastic optimization problem with the goal of maximizing expected social welfare is constructed. The multi-agent consensus is used to solve the optimization problem, and the pricing and production/ordering decisions with random demand obeying normal distribution are obtained. Finally, the theoretical results are verified by numerical simulation, and the influence and effectiveness of multi-agent consensus theory on supply chain decision-making are demonstrated in the presence of random demand and sudden failure of an enterprise in the supply chain and further analyze the impact of carbon tax policy on supply chain decision-making. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

引用

页码：9891 / 9901

页数：10

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