| Summary: | 碩士 === 國立交通大學 === 工業工程與管理系所 === 102 === Inventory management is essential in all industries. The fact that the demand-pull in collaboration with buffer management within the theory of constraint (TOC) is superior to traditional replenishment policy (s, S), (s, Q), (R, S), (R, s, S) has been proven in many studies. However, many semiconductor products are with short product life cycle, long production lead time andfluctuating demand. The traditional demand-pull replenishment and buffer management proposed by TOC may not be able to respond to changes in demand in time thus tends to result in high inventory or out of stock situations. This research proposed a method by integrating the trend of product demand and rolling forecasts of market demand with cumulative sum (CUSUM) method to make stock replenishment and buffer adjustment decisions. To test the validity and feasibility of the method this study proposed, both real historical demand data of semiconductor products provided by a wafer foundry in Taiwan and simulated demand data were analyzed. Per the result of computational experiments, the proposed method resulted in lower average inventory and higher service levels in the majority experiments conducted than either the traditional method suggested by TOC or the method proposed in previous study.
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