비안정적인 고객수요를 갖는 공급사슬에서의 적응형 재고관리 모델 : Adaptive Inventory Control Models in a Supply Chain with Nonstationary Customer Demand
Adaptive Inventory Control Models in a Supply Chain with Nonstationary Customer Demand
- 주제(키워드) supply chain , adaptive inventory control , reinforcement learning
- 발행기관 대한산업공학회
- 발행년도 2005
- 총서유형 Journal
- UCI G704-000227.2005.31.2.009
- KCI ID ART000963409
초록/요약
Uncertainties inherent in customer demand patterns make it difficult for supply chains to achieve just-in-time inventory replenishment, resulting in loosing sales opportunity or keeping excessive chain wide inventories. In this paper, we propose two intelligent adaptive inventory control models for a supply chain consisting of one supplier and multiple retailers, with the assumption of information sharing. The inventory control parameters of the supplier and retailers are order placement time to an outside source and reorder points in terms of inventory position, respectively. Unlike most extant inventory control approaches, modeling the uncertainty of customer demand as a stationary statistical distribution is not necessary in these models. Instead, using a reinforcement learning technique, the control parameters are designed to adaptively change as customer demand patterns change. A simulation based experiment was performed to compare the performance of the inventory control models.
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