Inventory control model based on external and interior reverse logistics

To improve the inventory control strategy for enterprise and optimize inventory control parameters of existing external and interior reverse logistics,a multi-resource inventory control model is proposed to better simulate the logistics fact,which is aimed at periodic inventory checking and pull mode of inventory control strategy,based on the return product arrival time obeying Poisson distribution,the return product employing lot-size process and the nonzero lead time of manufacturing/remanufacturing.The rational cost function with multiple constraints is employed to describe the inventory model.The genetic algorithm is employed to solve the inventory cost function to obtain the optimal solution of inventory checking periods,safe inventory point,product lot-sizes and process lot-sizes of return product.An example is presented to prove the feasibility and validity of the proposed method.Moreover,the influence of manufacturing/remanufacturing lead time and reuse rate of return production on the inventory control strategy of enterprise is analyzed.