Hybrid genetic algorithm for a problem lot Sizing with transport

Abstract

Planning production problems have been the subject of many authors. We consider a lot of problem Sizing whith two levels. This paper presents a methodology to solve a problem of supply chain of type OWMR (One whare-house Multi Retailer) whith direct delivery. We assume that the demand is deterministic. The work presented is about a lot sizing problem. The objective is to optimize the total cost of the supply chain, consisting of a production cost, storage cost and transport cost. First the problem was solved by an exact method, which has shown its limits if the number of clients and periods increase. Also we proposed the use of genetic algorithms as a heuristic to solve this problem. The results are satisfactory.