网络货运平台物流服务供应链合作机制的三方进化博弈分析

IF 5 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Guanxiong Wang, Xiaojian Hu, Ting Wang, Jiqiong Liu, Shuai Feng, Chuanlei Wang
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引用次数: 0

摘要

网络货运平台的快速发展,直接提升了社会物流资源协作水平,提高了物流业服务效率和质量。作为连接货运托运人和货运承运人的双边平台,网络货运平台的组织结构和运营模式与传统物流服务提供商有很大不同。本文构建了一个三方演化博弈模型,考虑了网络货运平台、货运托运人和货运承运人,动态分析了各方和三方系统的演化稳定策略。通过数值案例验证了模型的可靠性,并在重要参数敏感性分析的基础上提出了若干提高系统稳定性的对策。本文有助于规范网络货运模式下各方的主体行为,降低各方的违约风险,提高物流服务供应链的整体合作稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tripartite Evolutionary Game Analysis of a Logistics Service Supply Chain Cooperation Mechanism for Network Freight Platforms

The rapid development of network freight platforms has directly increased the level of social logistics resource collaboration and improved both the efficiency and quality of logistics industry services. As a bilateral platform that connects freight shippers and freight carriers, the organizational structure and operational mode of network freight platforms differ substantially from those of traditional logistics service providers. In this paper, a tripartite evolutionary game model is constructed in which a network freight platform, freight shipper, and freight carrier are considered, and the evolutionary stability strategies of the parties and the tripartite system are dynamically analyzed. The reliability of the model is verified through a numerical case, and several countermeasures have been proposed to improve the stability of the system based on the sensitivity analysis of important parameters. This paper helps standardize the principal behavior of all parties under the network freight mode, reduce the default risk of all parties, and improve the overall cooperation stability of the logistics service supply chain.

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来源期刊
International Journal of Intelligent Systems
International Journal of Intelligent Systems 工程技术-计算机:人工智能
CiteScore
11.30
自引率
14.30%
发文量
304
审稿时长
9 months
期刊介绍: The International Journal of Intelligent Systems serves as a forum for individuals interested in tapping into the vast theories based on intelligent systems construction. With its peer-reviewed format, the journal explores several fascinating editorials written by today''s experts in the field. Because new developments are being introduced each day, there''s much to be learned — examination, analysis creation, information retrieval, man–computer interactions, and more. The International Journal of Intelligent Systems uses charts and illustrations to demonstrate these ground-breaking issues, and encourages readers to share their thoughts and experiences.
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