基于概率分布约束的逆向物流多周期库存模型

Multi-period inventory model of reverse logistics based on probabilistic distribution constraint

新产品在不同市场需求和再生品数量不确定的情况下,难以进行新产品库存控制.论文通过对这种具有不确定性的库存控制研究,分析了含回流的单周期随机最优库存控制策略,然后将其推广,给出了系统含回流的n周期随机最优库存控制的策略,建立了具有概率分布的逆向物流多周期随机型库存模型.最后的算例仿真表明了库存控制策略的有效性和可行性.

Considering the different demands of new products and the uncertain quantities of remanufactured products, it is difficult to control the inventory of the new products. Firstly, the single-cycle random optimal inventory control strategy with reverse logistics is analyzed. Then the N cycles random optimal inventory control strategy with reverse logistics is proposed. Based on the research of this uncertainty, a multi-period stochastic inventory model of reverse logistics with probabilistic distribution constraint is presented. The last example of the inventory control simulation shows that the effectiveness and feasibility of this strategy.