摘要
在城市末端共同配送背景下,本文考虑分散决策和集中决策不同决策模式,构建由一个或多个企业与末端配送网点组成的共同配送服务定价博弈模型。在构建模型时,考虑配送服务水平、末端配送网点定价、物流企业定价等因素对快件需求量及联盟收益的影响。在分散决策下,基于单一企业、多企业与末端配送网点博弈定价的异同,在构建多企业博弈模型时进一步考虑企业的最低收益。最终,通过案例分析,比较不同决策模型下联盟及联盟内成员的收益、定价及配送服务水平的变化。结果显示,在多企业与末端配送网点分散决策模式下,联盟的收益、定价及需求规模均较高,能提供联盟的最佳决策方案。
In the context of urban terminal joint distribution,different decision-making modes are considered such as decentralized decision-making and centralized decision-making.And a joint distribution service pricing game model composed of one or more enterprises and terminal distribution network is constructed.When constructing the model,the influence of service level,terminal network pricing,logistics enterprise pricing and other factors on express demand and alliance revenue are considered.For the decentralized decision-making scenario,based on the similarities and differences of game pricing among single enterprise and multi enterprise,the minimum profit of enterprise is further considered in the construction of multi enterprise game model.Finally,through the analysis,this paper compares the influence of profit,pricing and service level of alliance and its members with different decision-making models.The results show that under the with decision-making mode of multi enterprises and terminal distribution network,the alliance gains higher revenue,pricing and demand scale,which can provide the best decision-making scheme of the alliance.
作者
孔继利
陈璨
刘晓平
KONG Ji-li;CHEN Can;LIU Xiao-ping(School of Modern Post,Beijing University of Post and Telecommunications,Beijing 100876)
出处
《物流研究》
2020年第2期33-43,共11页
Logistics Research
基金
国家重点研发计划资助项目(No.2018YFB1403100)
教育部人文社会科学研究青年基金项目(20YJC630054)
作者简介
通信作者:孔继利(1982—),男,博士、北京邮电大学副教授,主要研究方向为博弈定价、智能物流系统规划与设计。kongjili1026@163.com;陈璨(1997—),女,北京邮电大学在读硕士研究生,主要研究方向为车辆调度与路径规划、博弈定价;刘晓平(1965—),男,博士、北京邮电大学教授、网络教育学院院长、教育部高等学校物流管理与工程类专业教学指导委员会委员,主要研究方向为智能物流技术装备、博弈定价。
