Inventory policies for systems with stochastic and deterministic demand
成果类型：
Article
署名作者：
Sobel, MJ; Zhang, RQ
署名单位：
University System of Ohio; Case Western Reserve University; Cornell University
刊物名称：
OPERATIONS RESEARCH
ISSN/ISSBN：
0030-364X
DOI：
10.1287/opre.49.1.157.11197
发表日期：
2001
页码：
157-162
关键词：
摘要：
We consider a periodic review inventory system with demand arriving simultaneously from a deterministic source and a random source. The deterministic demand has to be satisfied immediately and the stochastic demand can be backordered. Assuming that the stochastic demand is never backlogged if there is stock in the system, we prove that a modified (s, S) policy is optimal under general conditions if there is a setup cost. If then is a smoothing cost instead of the setup cost, we observe that the problem corresponds to a standard model with one source of demand.