基于Kalman滤波器的服装零售业库存控制策略

Inventory control policy for apparel retailing sector based on Kalman filter

为帮助服装零售商准确预测市场需求信息,快速响应消费者需求,通过引入Kalman滤波器对服装产品的需求进行预测。在此基础上,分别对订货提前期小于或大于等于订货周期的订货模式进行讨论,建立相关库存控制策略模型,同时通过数据仿真分析探讨在一定服务水平下不同库存控制策略对企业利润的影响。研究表明,基于Kalman滤波器的订货提前期大于等于订货周期的周期性检查策略更加适用于服装零售商"高频率,低数量"的补货模式,能够使服装零售商在维持服务水平的同时,提高经营利润。

In order to help apparel retailers get accurate market information and make quick response to customers＇demand,this paper suggests Kalman filter for forecasting and discusses related inventory control policies with different lead time and order cycle time.Meanwhile,simulation is carried out to compare the effect of different inventory control policies on the profit of an enterprise level under certain service level.The results indicate that under the replenishment mode with high-frequency and small quantity can bring more profits to an apparel retailer under certain service level.