基于顾客需求偏好的面向无人零售终端的供应链资源整合优化研究  

Research on the Integration and Optimization of Supply Chain Resources for Unmanned Retail Terminals Based on Customer Demand Preference

作　　者：锁立赛 姚建明[1] 周佳辉 SUO Li-sai;YAO Jian-ming;ZHOU Jia-hui(Renmin University of China,Beijing 100872,China;China University of Petroleum,Beijing 102249,China)

机构地区：[1]中国人民大学商学院,北京100872 [2]中国石油大学经济管理学院,北京102249

出　　处：《中国管理科学》2021年第10期84-95,共12页Chinese Journal of Management Science

基　　金：国家自然科学基金资助项目(71872174)。

摘　　要：面向新零售的无人零售终端所关注的焦点是如何为顾客提供满意的购物体验。目前,无人零售终端在提供服务时较多关注不同场景下顾客对商品类型的需求,而往往忽略价格、品质和终端操作便捷性等其他差异化的需求。而无人零售的无人值守、需要灵活补货和配货等特点,决定了其在提供差异化服务时,离不开供应链网络的有效支撑,这就需要对供应链网络中的各类资源进行合理整合。本文在分析不同场景下顾客需求偏好的基础上,重点探讨了面向无人零售终端资源整合中的供应链成员筛选机理,有针对性地提出了关键因素的挖掘和分类方法。在此基础上,构建了对应的整合优化模型和求解算法,并通过算例验证了方法和算法的可行性、有效性与可操作性。The focus of unmanned retail terminals for new retail is how to provide customers with a satisfactory shopping experience.At present,when providing services,unmanned retail terminals pay more attention to customers’demands for commodity types in different scenarios,and often ignore other differentiated demands such as price,quality and shopping time.However,the characteristic of unmanned retail terminals,such as unattended operation,the need for flexible replenishment and distribution of goods,determine that in providing differentiated services,it is inseparable from the effective support of the supply chain network,which requires the reasonable integration of various resources in the supply chain network.Based on the analysis of customer demand preference under different scenarios,the selection mechanism of supply chain members in the integration of unmanned retail terminal resources is discussed,and the mining and classification methods of key factors is put forward in this paper.On this basis,the corresponding integration optimization model and algorithm are constructed.Finally,based on the relevant data of an unmanned retail terminal enterprise in Beijing,the feasibility,effectiveness and operability of the integrated optimization model and the improved ant algorithm are verified.The research results show that the resource integration of the unmanned retail terminal supply chain network from the customer’s demand preference in different scenarios can effectively improve customer satisfaction in different scenarios.The ideas and methods of supply chain resource integration optimization proposed in this paper have important reference significance for unmanned retail terminal enterprises to meet customer needs and achieve long-term development.

关 键 词：无人零售终端 需求偏好 资源整合 关键因素 

分 类 号：C93[经济管理—管理学] F270