Research on reverse logistics-oriented multisources inventory control model

To improve enterprise inventory control strategy and optimize control parameters of inventory including external and interior reverse logistics, through applying periods´ inventory checking strategy, a multi-sources inventory control model helpful to simulate the real logistics operations was proposed. Based on the arrival time of returned products following Poisson distribution, the returns production with lot-size processing method and the nonzero lead time of manufacturing/remanufacturing, a rational cost function of inventory control was established. Then the genetic algorithm was used to solve the inventory cost function so as to obtain the optimum solution of inventory checking periods, safe inventory point, production lot-sizes and processing lot-sizes of returns production. An example was presented to prove the feasibility and validity of the proposed method, and the proposed model can help the enterprises to implement multisources inventory control strategy.