Location-Routing-Inventory Poblem In Optimization Of Reverse Logistics System

As the science and technology advanced and standard of peoplel's living improved,the demand of consumers to diversification and individuation of products was increasing,which resulted in more and more products were deserted as a result of fast speed of replacement of old products by new ones. And the useful resources decreased day by day and the legislationg is perfected.But there are high value and ecnomic value in the waste resources,so more and more peple are interested in reverse logistic.As enterprises how to highly reverse and reuse the waste resourse not only have good social significance,but also bring great benefits.Facilities location,vehicle routing arrangement and inventory control are the key issues existed in optimiztion of logistics system.Usually Aocation-Allocation Problem (LAP),Vehicle-Routing Problem(VRP) and inventory control problem were solved separately.In fact,there was a close relationship among inventory control,facilities location and vehicle routing arrangement.Therefore,it is necessary to make a further study on the internal relationship among these three problems,and make integrated optimization and management of Location-Routing-Inventory Problems (LRIP)Backgroud on the appeal,the paper introduces the conception,characters,recovery mold and others of reverse logistics on the basis of summarizing domestic and overseas research and practices about reverse logistics management.And the paper comes to a conclusion that the independed third- party reverse logistics should be the development trend in the future. On the basis of current studies,we examinated the stochastic demand LPIP in reusing logistics system and the dynamic LPIP in remanufacuting logistics system.The location of recycle transfer station(recycle centre),the path selection of colleetion vehicles and inventory control strategy in this two reverse logistics systems were also analyzed, also stablished the minimum cost models.As the Location-Routing-Inventory problem is a NP-Hard problem,it can't be solved by using accurate algorithm,In this paper,two-phrase heuristic algorithm was employed to solve the models of mentioned above,and the feasibility and validity of the model and algorithm were validated via illustrative example.