The 3rd International Conference on Innovative Research in Management, Economics and Accounting, İstanbul, Turkey, 15 March 2016, pp.1-8
In this study, we introduce a new problem for humanitarian relief supply chain: A Warehouse Location-Routing Problem with Time Windows (WLRPTW). Different than the exist models we consider also priorities of shelters. Especially, when the humanitaran assistance needed all the locations can be effected in a different level. Because of that, people in a place that have more humanitarian need related supplies in emergency. We create a random problem with plants, warehouses and shelters which we call them as a costumer. There are different types of costs in the problem: setup cost of possible warehouse locations, transportation cost between plants and warehouses and also transportation cost from warehouse to the costumer. To solve the problem, we have used a genetic algorithm based hybrid metaheuristic that for routing of trucks from the warehouses to the costumers have created by Clarke and Wright Algorithm and a local search algorithm. The results of the problem and a future research have also discussed.