Improving Repetitive Manufacturing Systems: Model and Insights

Scott Webster () and Z. Kevin Weng
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Scott Webster: School of Management, Syracuse University, Syracuse, New York 13244-2130
Z. Kevin Weng: School of Business, University of Wisconsin-Madison, Madison, Wisconsin, 53706-1323

Operations Research, 2001, vol. 49, issue 1, 99-106

Abstract: 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.

Keywords: Manufacturing: performance/productivity; Inventory/production: smoothing (search for similar items in EconPapers)
Date: 2001
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