考虑补货优先级的服装横向转运库存优化

Inventory optimization of apparel lateral transshipment considering replenishment priority

针对需求不确定带来的服装产品库存失衡问题,构建由一个区域仓和多个采用直营店营销模式的零售商组成的横向转运库存优化模型。引入补货优先级来描述零售商的服务水平。在零售商服务水平约束下,寻求各零售商转运和补货的供应方案,实现系统运营成本最小化、服务水平下限最大化的目标。采用改进粒子群优化算法求解模型。通过仿真实例对模型的有效性进行验证。结果显示,执行横向转运策略后,系统运营成本平均降低39.5%,服务水平平均增加15.5%。研究表明,该方法不仅能够提高补货决策的经济性、提升区域零售商的整体服务水平,还可以解决零售商库存不均衡问题,有利于提高横向转运在服装领域的适用性。

In view of the apparel inventory imbalance problem caused by demand uncertainty,the paper builds a lateral transshipment inventory optimization model composed of a regional warehouse and multiple retailers using the directly-managed store marketing model.The replenishment priority is introduced to describe the service level of retailers.Under the constraint of the service level of retailers,the supply scheme of the transshipment and replenishment of each retailer is sought to achieve the goal of minimizing the system operation cost and maximizing the lower limit of the service level.The model is solved by an improved particle swarm optimization algorithm.The effectiveness of the model is verified by simulation examples.The results show that,after implementing the lateral transshipment strategy,the system operation cost decreases by 39.5%on average,and the service level increases by 15.5%on average.The study shows that,this method can not only improve the economy of replenishment decisions and improve the overall service level of regional retailers,but also solve the problem of retailers’inventory imbalance,which helps to improve the applicability of lateral transshipment in the clothing field.