关键词: 服务水平, 随机缺陷率, 横向转运, 自适应遗传算法

Abstract: To study the multiple demand spots inventory strategy with random defective rate products,a supply chain system composed of a manufacturer and multiple retailers was considered.Lateral transshipment between retailers was allowed in this system.Proportion of total demand satisfied by the retailer's own inventory was taken as a service level constraint.The maximum order point S and the inventory control point H as decision variables were used to minimize the total system cost.An improved adaptive genetic algorithm was designed according to the problem characteristics and was used to solve it.Numerical examples showed the significance of the model in cost optimization and the effectiveness of the algorithm,and analyzed the impact of service level and random defect rate's changes on the total cost and order.It was also provided a theoretical and practical guidance for the optimization problem of multiple demand spots inventory with lateral transshipment.

Key words: service level, random defect rate, lateral transshipment, adaptive genetic algorithm