| Summary: | 碩士 === 國立交通大學 === 工業工程與管理系所 === 103 === Using an affordable clothing business which takes Demand-Pull as its replenishment method for example, this paper is mainly about how to stop replenishing to decrease inventory and increase throughput. While keeping high inventory to prevent shortage, there’s a risk that inventory might happen to be too high to sell out before the end of the season. In this respect, we divide our research into three parts:
1. When is the appropriate time to discount
2. What amount to replenish before off-shelf
3. When to stop replenishing
First, we discuss about the trade-off between inventory and shortage. Second, we provide a prediction formula which is able to calculate how much to replenish in each stage in product life cycle, so that we can decrease the effect of stop replenishing time. Final, we apply multiple regression analysis to find out which point in product life cycle is declining.
The test result shows that only stop replenishing on declining point cannot solve the problem, we still need to replenish with appropriate amount. Therefore, we use prediction formula to calculate how much to replenish, and stop when selling trend become decline. This improvement will increase 14% throughput than current status.
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