| Summary: | 碩士 === 明新科技大學 === 工業工程與管理系碩士班 === 104 === The main purpose of short life-cycle industry, such as fashion apparel industry, is to continuously maintain the responsiveness to the changing trends in consumer fashion tastes through quickly creating new designs that are suitable for all customers with an affordable price. Hence, supply chain management has become the key element of the overall strategy for the entire chain. Replenishment Policy and supply chain inventory levels for each inventory point determines whether the entire supply chain to provide high availability of low inventory of products. However, the rapid change of old and new products, making retailers is often subjected to high inventory and high out of stock, this often leads to the need to make rush orders or follow up of production to meet the actual demand, resulting in a supply chain even less stable. Therefore, a major challenge for the short life cycle products is how to ensure the maintenance of low inventory and high availability in case of rapid change of old and new products in order to avoid becoming obsolete items, cut prices to attract buyers or fall down the drain situation. This study proposed a buffer management mechanism of TOC replenishment for short life cycle product , have four models to simulation, includes traditional ordering patterns, pull replenishment, pull replenishment buffer management and add production strategy model. Simulation results show when demand fluctuate small or stable, the presented effect there is no difference between pull replenishment and pull replenishment buffer management; When demand fluctuate a great deal, pull replenishment buffer management for shipments upgrade and to ensure that out of stock amount reduced. After the pull replenishment buffer management added production strategies, for the short life cycle of the product can get a better performance, so the supply chain can be closer to the low inventory and high availability goal, making the product life cycle at the end of the sale and the highest overall inventory to a minimum.
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