考虑大数据技术水平和供应竞争的众包物流服务质量最优控制  

Optimal Control of Crowdsourcing Logistics Service Quality Considering the Technical Level of Big Data and Supply Competition

作　　者：孟秀丽[1] 杨静 刘波 唐润[1] MENG Xiuli;YANG Jing;LIU Bo;TANG Run(School of Management Science and Engineering,Nanjing University of Finance and Economics,Nanjing 210023,China)

机构地区：[1]南京财经大学管理科学与工程学院,江苏南京210023

出　　处：《运筹与管理》2023年第7期49-55,共7页Operations Research and Management Science

基　　金：国家自然科学基金资助项目(71401070);江苏高校哲学社会科学重点项目(2017ZDIXM062)。

摘　　要：物流需求激增会导致众包平台面临接包方供应短缺的竞争环境,针对这种情形,考虑大数据技术建立了众包物流服务质量控制模型并展开了数值分析。研究发现:最优大数据技术水平、服务平台和接包方的最优质量控制水平随质量敏感系数的减少而减少,服务平台的最优质量控制水平随单位需求延误成本的减少而增大;众包物流平台采用大数据技术策略,会提高自身的质量控制水平,但不会使竞争平台的质量控制水平提升或者降低,当大数据技术成本优化比例系数满足特定条件时,会导致更多的平台利润;接包方质量控制水平不随其服务的平台是否应用大数据技术策略而改变。Crowdsourcing logistics uses big data technology to match the needs of both the employers and the receivers,thus saving logistics costs.At the same time,the service demand of crowdsourcing logistics has random fluctuation.When the logistics demand increases sharply,the service platform will face shortage of receivers.In addition,due to the characteristics of independent selection of the logistics supply for receivers,there will be fierce competition among the various crowdsourcing logistics service platforms.The service platforms compete not only in the logistics demand market,but also in the supply market of the receivers,such as the plunder of high-quality receivers by JD crowdsourcing and Meituan crowdsourcing.In the actual operating environment of crowdsourcing logistics market with high demand and competitive supply from its receivers,determining the optimal service dynamic competition strategy for the crowdsourcing logistics platform can effectively regulate the supply capacity of the receiver and meet the logistics order demand of the platform,which is of great significance for the operation management and optimization of the crowdsourcing logistics service platform.In view of the surge of crowdsourcing logistics demand,crowdsourcing logistics service platform is facing the fierce competition environment of supply shortage of receivers.Considering the situation that two service platforms compete with one receiver through commission and big data technology level,a crowdsourcing logistics service quality control’s differential game model based on big data technology level under supply competition caseis constructed.The changes of quality control level,profits and service quality of all parties under three situationsare analyzed,and the influences of choosing the strategy to improve big data technology on the service platform and the receiver are discussed.The results show that the higher the quality sensitivity coefficient,the higher the optimal quality control level of the service platforms and the receiv

关 键 词：微分博弈 动态竞争 服务质量 大数据技术 众包物流 

分 类 号：F253.3[经济管理—国民经济]