Cooperation models in automotive supply chain under low-carbon emission reduction policies

IF 0.9 4区 数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Yukun Cheng, Zhanghao Yao, Tingting Meng
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Abstract

For the issue of carbon emission mitigation within the automotive supply chain, the cooperation between the vehicle manufacturers and the retailers has been proved to be an efficient measure to enhance emission reduction endeavors. This paper aims to evaluate the effectiveness of the cooperations between a vehicle manufacturer and multiple retailers based on the differential game method. By utilizing the Hamilton–Jacobi–Bellman equation, the equilibrium strategies of the participants under two different cooperation models, i.e., the decentralized model and the Stackelberg leader–follower cooperation model, are analyzed. To be specific, in the decentralized model, each participant independently decides its strategies, whereas the manufacturer cooperates with retailers by offering subsidies in the Stackelberg leader–follower model. Unlike previous studies that solely focused on participants’ decision-making in carbon emission reduction efforts, this paper also examines the retail pricing decisions of the retailers. Additionally, carbon trading is introduced to enhance the realism of our model. Through the theoretical analysis and the numerical experiments on the carbon emission reduction efforts of manufacturers and retailers, as well as the low-carbon reputation of vehicles and the overall system profit under both models, we conclude that the cooperative Stackelberg model outperforms the decentralized model in providing benefits to both parties. Furthermore, such a cooperative approach can foster the long-term development of the automotive supply chain, ultimately contributing to a more sustainable low-carbon future.

Abstract Image

低碳减排政策下汽车供应链的合作模式
对于汽车供应链中的碳减排问题,汽车制造商与零售商之间的合作已被证明是加强减排工作的有效措施。本文旨在基于微分博弈法评估汽车制造商与多个零售商之间合作的有效性。利用汉密尔顿-雅各比-贝尔曼方程,分析了两种不同合作模式(即分散模式和斯泰尔伯格领导者-追随者合作模式)下参与方的均衡策略。具体来说,在分散模式下,每个参与者独立决定自己的策略,而在斯塔克尔伯格领导者-追随者模式下,制造商通过提供补贴与零售商合作。与以往只关注碳减排参与者决策的研究不同,本文还考察了零售商的零售定价决策。此外,本文还引入了碳交易,以增强模型的现实性。通过对两种模型下制造商和零售商的碳减排努力、车辆的低碳声誉以及系统整体利润的理论分析和数值实验,我们得出结论:合作型 Stackelberg 模型在为双方提供利益方面优于分散型模型。此外,这种合作方式可以促进汽车供应链的长期发展,最终为实现更加可持续的低碳未来做出贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Combinatorial Optimization
Journal of Combinatorial Optimization 数学-计算机:跨学科应用
CiteScore
2.00
自引率
10.00%
发文量
83
审稿时长
6 months
期刊介绍: The objective of Journal of Combinatorial Optimization is to advance and promote the theory and applications of combinatorial optimization, which is an area of research at the intersection of applied mathematics, computer science, and operations research and which overlaps with many other areas such as computation complexity, computational biology, VLSI design, communication networks, and management science. It includes complexity analysis and algorithm design for combinatorial optimization problems, numerical experiments and problem discovery with applications in science and engineering. The Journal of Combinatorial Optimization publishes refereed papers dealing with all theoretical, computational and applied aspects of combinatorial optimization. It also publishes reviews of appropriate books and special issues of journals.
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