연속조사 재고정책하에서 소매업체 행동 편향 정보를 활용한 최적 재고관리 방안

We consider a supply chain consisting of one warehouse and multiple retailers under a continuous review policy. In this setting, warehouse inventory management utilizing real-time inventory information of retailers has been an important topic. Recent progress in behavioral operations management suggests that the reorder decisions of retailers may deviate from optimal decisions due to behavioral bias. Thus, incorporating human decision bias in deriving the reorder decisions of retailers is crucial in the inventory management of warehouses. In this study, we propose a behavioral order risk model to determine optimal reorder timing considering the behavioral bias of decision-makers. We consider two types of behavioral bias: ex-post inventory error and loss aversion. Through behavioral experiments and computer simulation, we show that a cost reduction of 24.9% can be achieved by considering the behavioral bias of retailers in the inventory management of warehouses.