Improving repetitive manufacturing systems: Model and insights
成果类型：
Article
署名作者：
Webster, S; Weng, ZK
署名单位：
Syracuse University; University of Wisconsin System; University of Wisconsin Madison
刊物名称：
OPERATIONS RESEARCH
ISSN/ISSBN：
0030-364X
DOI：
10.1287/opre.49.1.99.11194
发表日期：
2001
页码：
99-106
关键词：
摘要：
We consider a manufacturing system that is controlled by a fixed-cycle smoothed production policy. This policy, which is becoming increasingly common in repetitive manufacturing environments, is characterized by a production rate that is updated on a periodic basis. We model the system as a stochastic process that includes parameters for vendor responsiveness, plant responsiveness, randomness in production yield rates, nonstationarity and randomness in market demand, demand forecast error, operating cost rates, and safety stock. Properties of the model expose structural relationships between expected system performance and system parameters.