Stochastic And Dynamic Location-Routing-Inventory Problems In Optimization Of Closed-Loop Logistics Systems

With the legislation is perfected and the useful resources decreased day by day, there are more and more enterprises are interested in closed-loop logistic systems, especially about remanufacturing logistics and reusing logistics.As we know, location, routing, and inventory are the most important factors in logistic systems, and there are closed relationships among them. So it's need to study the management of Location-Routing-Inventory Problem (LRIP) as a whole system. But most of scholars' study only focused on the Location-Allocation Problem(LAP), Vehicle Routing Problem(VRP), or inventory alone, so LRIP in remanufacturing logistics system and reusing logistics system are studied in paper.When it comes to remanufacturing products, we know that they are durable and the periods of reclaim is long, so we define the inventory of new and inventory of reclaim are unattached. In this circumstance, we study the combined LRIP in remanufacturing logistics system, based on the stochastic and interrelated demands between distribution and pick-up. As the reusing products are circulated frequently, and the volume of reclaim is interrelated with the distribut(?)n demands, we study the combined LRIP in reusing logistics systems, based on the stochastic demand and dynamic vehicle routings, where the demands how many to pick-up is connected with how many to distribution. Therefore, two non-linear integer programming models are established respectively for LRIP in remanufacturing logistics system and LRIP in reusing logistics system. Simultaneity, heuristic algorithms are developed to solve the two NP-hard problems. Finally, the models and heuristic algorithms are proved to be true and validity through the corresponding case studies.