Genetic algorithms-based optimization approach on an enterprise resource management-based facility layout

Today, the customer is the god In order to acquire the farsighted development, the business enterprises need to face the exterior environment of complications, especially to manage business enterprises resources. This paper presents a creative genetic search for solving a dynamic discontinuous facility layout problem. While the discontinuous formulation of this problem has been deeply investigated, there are very few papers solving it for its weakness. We describe a model which can solve the discontinuous facility layout. One task in factory planning is to determine good locations for a given set of departments on some workshop floor-facility layout problem (FLP). A first objective is to minimize material handling costs or total distance that walk back and forth. Firstly, in today's customer-centric market, the business enterprise must have the competition ability; this needs the valid operation of business enterprise and has the ability of the fast reaction to product admixture and customer's need. Secondly, research demonstrates that in all management expenses of manufacturing business enterprise, the material handling expenses between facilities occupy 20%similar to 50%. Thirdly, the rise that the relevant facility layout problems study has already been the history of near half century and this topic always causes manage science worker to pays much attention to it. Finally, research on facility layout has the function that can't lowly estimate for reducing the business enterprise cost, increasing the economic performance, raise the economic growth and strengthen the real strength of our country. In this paper, detailed information has been obtained by the author using survey, sample analysis, numerical analysis, application, and systematic thinking. The author shall analyze the weakness of existing facility layout, present some measures to resolve above problems, create a model and give a case. In summing up it may be stated that numerical analysis show the effectiveness and practicality of the proposed model and genetic algorithm dealing with such kind of problems. So research on facility layout has some social meaning and economic value.