| Summary: | 碩士 === 國立交通大學 === 工業工程與管理學系 === 99 === Theory of Constraint suggests the use of demand-pull replenishment policy with buffer management to ménage inventory. This policy has been demonstrated to be more effective in practice than those traditional replenishment policies such as (s, S), (s, Q), (R, S), (R, s, S). Since the replenishment lead time of semiconductor products is long and their demand changes rapidly, customers are willing to share their demand forecasts with upstream partners, such as wafer foundries, to reduce their inventory. This study proposed a method to incorporate demand forecasts to improve the effectiveness of using demand-pull replenishment policy along with buffer management to manage inventory. This study used real data provided by a wafer foundry in Taiwan as well as simulated data, respectively, to demonstrate the effectiveness and efficiency of the proposed approach. The results showed that compared with the traditional demand-pull replenishment policy, the proposed approach can reduce the average inventory while not decreasing the desired service level. The more reliable of the demand forecasts, the more effective results the proposed approach can deliver.
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