Inventory control model oriented to internal and external reverse logistics

To reduce safe inventory level, improve enterprise inventory control strategy and optimize inventory control parameters in existing internal and external reverse logistics, through employing periods'inventory review strategy, a more realistic multi-resource inventory control model was proposed. And based on assumption of returns arrival time of obeying Poisson distribution, returns production employing lot-size process and nonzer manufacturing/remanufacturing lead time, rational cost function of inventory control was established. Genetic algorithm was applied to solve the inventory cost function so as to obtain the optimization solution of inventory checking periods, safe inventory points, production lot-sizes and process lot-sizes of returns production. Feasibility and validity of the proposed method was proved by an example, and influence of manufacturing/remanufacturing lead time on enterprise inventory control strategy was analyzed.