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跨境电商B2C物流供应链超网络均衡研究 被引量:4

Research on Super-Network Equilibrium of Cross-border e-commerce B2C Logistics Supply Chain
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摘要 建立一个由跨境电商B2C企业、物流服务集成商、国际物流服务商、海外物流服务商以及国外消费者组成的物流供应链超网络模型.并考虑企业在自营和平台型两种跨境电商平台上交易.利用变分不等式对物流供应链上的各层决策行为进行分析,得到均衡解.并通过数值仿真验证了模型的合理性与可行性,说明了物流服务集成商的核心地位以及物流供应链稳定性可加强,为实现个体与整体的利益均衡和跨境电商的长期稳定发展提供参考依据. Logistics has become the main bottleneck of cross-border e-commerce development.In order to achieve the sustainable development of cross-border E-commerce,the management of cross-border e-commerce logistics supply chain is particularly important.This paper establishes a logistics supply chain hypernetwork model which is composed of cross-border e-commerce B2 C enterprises,logistics service integrators,international logistics service providers,overseas logistics service providers and foreign consumers,and consider enterprises in the self-owned and platform of two cross-border e-commerce platform transactions.The equilibrium solution is obtained by using variational inequality to analyze the decision-making behavior of each layer in the logistics supply chain,and the rationality and feasibility of the model are verified by numerical simulation.The results show that the logistics service integrator is the core node of the B2 C logistics supply chain of cross-border e-commerce,and it plays an important role in the collaborative development of logistics service providers in the logistics supply chain;according to the model of B2 C logistics supply chain of cross-border e-commerce,analyzing the behavior of logistics service providers can optimize logistics service scheme and realize the stability and equilibrium of logistics supply chain.
作者 许欣 韩珠林 XU Xin;HAN Zhu-lin(School of Maritime Economics and Management,Dalian Maritime University,Dalian 116026,China)
出处 《数学的实践与认识》 北大核心 2020年第23期1-14,共14页 Mathematics in Practice and Theory
基金 教育部人文社会科学研究项目—基于外贸B2C的物流服务供应链超网络优化设计研究(14YJAZH093) 大连市社科联项目“基于数字贸易的大连外贸发展新模式研究”(2018dlskzd039)。
关键词 跨境电商B2C 物流供应链 超网络 变分不等式 Cross-border e-commerce B2C logistics supply chain super network variational inequality
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