主管:中国科学院
主办:中国优选法统筹法与经济数学研究会
   中国科学院科技战略咨询研究院

中国管理科学 ›› 2025, Vol. 33 ›› Issue (12): 349-359.doi: 10.16381/j.cnki.issn1003-207x.2023.0774cstr: 32146.14.j.cnki.issn1003-207x.2023.0774

• • 上一篇    下一篇

基于库存控制的全渠道零售商线上下单线下取货退货策略研究

赵菊1,2,3(), 袁叶1, 曹宗宏4, 闵杰4   

  1. 1.合肥工业大学管理学院,安徽 合肥 230009
    2.教育部过程优化与智能决策教育部重点实验室,安徽 合肥 230009
    3.智能决策与信息系统技术教育部工程中心,安徽 合肥 230009
    4.安徽建筑大学数理学院,安徽 合肥 230601
  • 收稿日期:2023-05-08 修回日期:2024-01-14 出版日期:2025-12-25 发布日期:2025-12-25
  • 通讯作者: 赵菊 E-mail:zhaoju112@hfut.edu.cn
  • 基金资助:
    教育部人文社会科学规划基金项目(24YJA630133);教育部人文社会科学规划基金项目(24YJA630004);国家自然科学基金项目(72271004)

Omni-channel Policies for a Retailer with Buy-online-and-pickup-or-return-in-store Based on Inventory Control

Ju Zhao1,2,3(), Ye Yuan1, Zonghong Cao4, Jie Min4   

  1. 1.School of Management,Hefei University of Technology,Hefei 230009,China
    2.Key Laboratory of Process Optimization and Intelligent Decision-making,Ministry of Education,Hefei 230009,China
    3.Ministry of Education Engineering Research Center for Intelligent Decision-Making & Information System Technologies,Hefei 230009,China
    4.School of Mathematics & Physics,Anhui Jianzhu University,Hefei 230601,China
  • Received:2023-05-08 Revised:2024-01-14 Online:2025-12-25 Published:2025-12-25
  • Contact: Ju Zhao E-mail:zhaoju112@hfut.edu.cn

摘要:

本文构建了线上下单线下取货退货(buy-online-and-pickup-or-return-in-store,BOPRS)的全渠道策略下的报童模型,运用理性预期均衡原理,分析了BOPRS策略对零售商线下门店库存水平的影响和BOPRS策略的实施条件。研究发现:当商品匹配率高且线上购物麻烦成本低时,实施BOPRS策略后消费者仍选择线上渠道,否则,消费者会选择线下渠道或者BOPRS渠道,零售商线下渠道的库存水平和商品可获得水平均提高;当线下渠道的边际利润高于线上时,线下门店的最优库存量随着匹配率的增加而增加。此外,当线上购物麻烦成本不太高时,零售商选择匹配率较高的商品实施BOPRS策略有利,而随着BOPRS渠道运营效率的提高,相对线上渠道,其竞争优势增加,零售商选择匹配率较高的商品实施BOPRS策略也能获利。最后,分析了消费者线下麻烦成本异质性对以上结论的影响。

关键词: 全渠道, 线上下单线下取货退货, 报童模型, 理性预期均衡

Abstract:

With the rapid development of e-commerce, retailers are continuously broadening their distribution channels and evolving their retail models towards omni-channel retail. Among the various omni-channel strategies, the buy-online-and-pickup-or-return-in-store (BOPRS) approach is the most commonly utilized. The BOPRS strategy facilitates information disclosure, consumers enabling to experience and check if the products fit their needs, thus allowing them to access real-time inventory information at offline stores.

Considering the information disclosure role of BOPRS, consumers’ channel-switching behaviors and their effects on retailers’ offline inventory under the BOPRS strategy are examined. The main research question concerns the condition under which the retailer can benefit from implementing BOPRS strategy. To address these questions, newsvendor models with and without the BOPRS strategy are developed, consumers’ channel selection behaviors are analyzed, the effects of the BOPRS strategy on the retailer’ offline inventory level and profit are studied, and the conditions are identified under which retailers should implement the BOPRS strategy.

The results show that the BOPRS strategy has altered the optimal inventory levels and product availability for offline stores. Only when the product matching rate is high and the hassle cost of online shopping is low will the optimal inventory of offline stores remain unchanged. Otherwise, the optimal inventory of offline stores will increase. Additionally, when the marginal profit of retailers selling products through offline stores is higher than that of online channels, the optimal inventory of offline stores will increase with the matching rate, and the level of product availability will always increase.

Contrary to our instinct, implementing the BOPRS strategy by retailers is not always beneficial. When the matching rate of the product is high and the hassle cost of online shopping is not too high, it is advantageous for retailers to implement the BOPRS strategy. Moreover, the retailer can also make more profits by choosing products with a higher matching rate (or lower hassle cost of online shopping) to implement the BOPRS strategy.

Key words: omni-channel, buy-online-and-pickup-or-return-in-store, newsvendor model, rational expectations equilibrium

中图分类号: