业务
供应链
产品(数学)
价值(数学)
服务(商务)
产量(工程)
产业组织
营销
微观经济学
经济
计算机科学
材料科学
几何学
数学
机器学习
冶金
作者
Xiongfei Guo,Chen Jing,Jie Wu,Tinglong Zhang,Hui Zhang
标识
DOI:10.1016/j.tre.2024.103520
摘要
Returns policies and in-store retail service are widely used strategies for managing customer returns. In this paper, we consider a supply chain with a manufacturer and a retailer, in which the retailer should decide its returns policy strategy by choosing between a no-refund policy (NR) or a money-back guarantee policy (MBG), as well as deciding whether to provide in-store service. We identify the retailer's optimal returns policy and in-store service strategies. We find that while the net salvage value of a returned product is a key factor influencing the retailer's decision on its optimal returns policy, the retailer's in-store service strategy is dependent on its chosen returns strategy. We show that offering an MBG policy can expand the market coverage of the supply chain, while providing in-store service does not yield the same effect. The retailer's optimal returns policy and in-store service benefit the manufacturer. However, there are cases where providing in-store service is not optimal for the retailer, but the manufacturer can benefit from it. In such circumstances, the manufacturer can use a contract to incentivize the retailer to provide in-store service. We also discuss extensions of the model to examine the impact of a non-zero residual value of the unsatisfactory product under an NR policy on the retailer's decisions, and where the retailer endogenously determines its service level through numerical exploration.
科研通智能强力驱动
Strongly Powered by AbleSci AI