Optimal in-store inventory policy for omnichannel retailers in franchising networks

被引:29
|
作者
Xu, Jianjun [1 ,2 ]
Cao, Lanlan [3 ]
机构
[1] Dongbei Univ Finance & Econ, Int Business Coll, Dalian, Peoples R China
[2] Dongbei Univ Finance & Econ, Inst Supply Chain Analyt, Dalian, Peoples R China
[3] NEOMA Business Sch, Dept Mkt, Mont St Aignan, France
关键词
Omnichannel retailing; Analytical model; Inventory optimization; Store fulfilment; ONLINE; POWER; TRANSFORMATION;
D O I
10.1108/IJRDM-09-2018-0199
中图分类号
F [经济];
学科分类号
02 ;
摘要
Purpose The purpose of this paper is to characterize the optimal ordering and allocation policy for a store replenishment decision in the context of an omnichannel retailer in a franchise network. The authors further show that a myopic policy is optimal, which circumvents the curse of dimensionality for the multi-period inventory model and help store managers optimize their decisions about the amount of inventory to stock for both online and offline demands and the percentage of inventory to reserve for online orders. Design/methodology/approach This research is trigged by several managerial studies which suggest reserving a certain percentage of the in-store inventory for online orders as a good store inventory allocation practice for omnichannel retailers in a franchise network. The authors used an analytical model to develop this practice by clarifying how store managers can decide on the amount of inventory to replenish and the percentage to reserve for online orders. Findings This study develops a finite horizon, periodic review inventory model to identify an optimal and dynamic replenishment and allocation policy. The analysis uncovers the system's fundamental structural property concavity. The research shows that, due to this property, the optimal replenishment policy is a base-stock policy. The latter is due to the base stock level being independent of the initial inventory at hand, and the optimal allocation level being non-decreasing on the base-stock level. Research limitations/implications - This study contributes to the literature on store inventory management for omnichannel retailers in a franchise network by investigating their optimal store inventory ordering and allocation policy. Nevertheless, the zero-lead time and zero-setup cost assumptions limit the findings. Practical implications - Insights into an optimal store inventory policy may guide franchisee store managers to decide on the amount of inventory to replenish and the percentage to reserve for online orders. Originality/value The originality of this paper lies in its focus on in-store inventory management for omnichannel retailers in a franchise network. The findings are helpful for franchisor retailers to implement the omnichannel strategy at the level of in-store inventory management. Beyond using incentive systems, the franchisor should leverage legitimate powers by mentioning a relevant measure in their contracts with their franchisee to minimize their channel conflicts and ensure their customers have seamless shopping experiences.
引用
收藏
页码:1251 / 1265
页数:15
相关论文
共 50 条
  • [1] Optimal inventory and admission policies for drop-shipping retailers serving in-store and online customers
    Chen, Jian
    Chen, Youhua
    Parlar, Mahmut
    Xiao, Yongbo
    [J]. IIE TRANSACTIONS, 2011, 43 (05) : 332 - 347
  • [2] Joint optimization of inventory replenishment and rationing policies for an omnichannel store with both in-store and online demands
    Guo, Zengxu
    Chen, Haoxun
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2024, 191
  • [3] Optimization Strategies for In-Store Order Picking in Omnichannel Retailing
    Chou, Xiaochen
    Pietri, Nicola Ognibene
    Loske, Dominic
    Klumpp, Matthias
    Montemanni, Roberto
    [J]. ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE AND RESILIENT PRODUCTION SYSTEMS, APMS 2021, PT II, 2021, 631 : 603 - 611
  • [4] Are retailers leveraging in-store analytics? An exploratory study
    Lorente-Martinez, Javier
    Navio-Marco, Julio
    Rodrigo-Moya, Beatriz
    [J]. INTERNATIONAL JOURNAL OF RETAIL & DISTRIBUTION MANAGEMENT, 2022, 50 (05) : 599 - 618
  • [5] Change in technology-enabled omnichannel customer experiences in-store
    Alexander, Bethan
    Kent, Anthony
    [J]. JOURNAL OF RETAILING AND CONSUMER SERVICES, 2022, 65
  • [6] Mail back or in-store dropoff? Optimal design of product-exchange policies in omnichannel retailing systems
    Sun, Ke
    Liu, Yunan
    Li, Xiang
    [J]. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2024, 125
  • [7] 'Buy online and pick up in-store': Implications for the store inventory
    Saha, Kushal
    Bhattacharya, Subir
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2021, 294 (03) : 906 - 921
  • [8] An inventory model with discounts for omnichannel retailers of slow moving items
    Gabor, Adriana F.
    van Ommeren, Jan-Kees
    Sleptchenko, Andrei
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2022, 300 (01) : 58 - 72
  • [9] Optimal pricing and replenishment policies when consumer demand depends on the in-store inventory level
    Jorgensen, S
    Kort, PM
    [J]. PROCEEDINGS OF THE 39TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5, 2000, : 85 - 90
  • [10] Omnichannel retailers' return policy strategies in the presence of competition
    Jin, Delong
    Caliskan-Demirag, Ozgun
    Chen, Frank
    Huang, Min
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2020, 225