改善服裝業零售商之補貨策略－以中國某連鎖服裝零售商為例

Abstract

In apparel industry, consumers demand is changing constantly. Apparel industry retailers have revolutionized the fashion industry by following a strategy known as fast fashion, which is described as retailer strategy for adapting merchandise assortments to current and emerging trends as quick and effective as possible. In this research, we focus on retailers’ central warehouse replenishment strategy. Although demand pull has good performance in managing inventory, however when apply in apparel industry, there are two issues occur in conducting demand pull replenishment. First, high demand variability often cause false demand, which cause the yellow zone become larger due to upward adjustment. The ending inventory will be fall at yellow zone which approaching green zone, and appear much more while compare to current demand. Second, apparel industry has the character of short life cycles, if we do not determine the timing for stopping replenishment, even though conducting demand pull replenishment, It would still generate quite high inventory level at the end of sales. Thus in this research we proposed a method with two approaches against those issues to improve demand pull replenishment. Based on history data of an Apparel Retailer’s sales, we simulate the method proposed in this research and the result shows that our method has lower average ending inventory and total inventory left at the end of sales than current company in overall SKUs.

In apparel industry, consumers demand is changing constantly. Apparel industry retailers have revolutionized the fashion industry by following a strategy known as fast fashion, which is described as retailer strategy for adapting merchandise assortments to current and emerging trends as quick and effective as possible. In this research, we focus on retailers’ central warehouse replenishment strategy. Although demand pull has good performance in managing inventory, however when apply in apparel industry, there are two issues occur in conducting demand pull replenishment. First, high demand variability often cause false demand, which cause the yellow zone become larger due to upward adjustment. The ending inventory will be fall at yellow zone which approaching green zone, and appear much more while compare to current demand. Second, apparel industry has the character of short life cycles, if we do not determine the timing for stopping replenishment, even though conducting demand pull replenishment, It would still generate quite high inventory level at the end of sales. Thus in this research we proposed a method with two approaches against those issues to improve demand pull replenishment. Based on history data of an Apparel Retailer’s sales, we simulate the method proposed in this research and the result shows that our method has lower average ending inventory and total inventory left at the end of sales than current company in overall SKUs.