中文摘要：

构建了一个基于等待时间限制的、多级多库存点、连续盘点的低需求服务备件库存系统模型,在目标服务水平约束下寻求各点的最优库存量使得系统总成本最小,其中目标服务水平由最大的等待时间限制来体现。最后采用MATLAB遗传算法工具箱对模型进行求解,通过一个算例验证了模型的有效性。

英文摘要：

A multi-item and multi-location inventory model is formed for low-demand service parts with waiting time constraints.In the inventory system,the continuous-review policy is used.The goal is to look for an optimal stock for each local warehouse under the target service which is presented by aggregate mean waiting time constraints per local warehouse.Finally,MATLAB genetic algorithm toolbox is used to solve for the model and a numerical example is presented to demonstrate the validity of the model.