Systematic Layout Planning Improved By Genetic Algorithm For Facility Layout Design

Facility layout optimize problem is a complex problem in the field of engineering research and practice, with practicality and multidisciplinary characteristics, has been considered one of the most critical and most difficult design tasks in the manufacturing system, causing more and more research and production staffs’attention. According to the existing facility layout techniques, this paper mainly contains the following aspects:The research status of the facility layout is divided into four categories described in detail, single-layer and multi-layer facility layout; static and dynamic facility layout; single-objective optimization and multi-objective optimization layout; equal area and unequal area facility layout. And the advantages and disadvantages of the study are analyzed.Systematic layout planning (SLP) is applied to analyze the quantitative logistics relations and qualitative non-logistics relations between the operating units. The comprehensive relation graph for all the operating units in the factory is obtained by integrating logistics relations and non-logistics relations, Then the operating units locations correlation graph and operating units area correlation graph are drawed. According to the impact factor of the factory, Two optimization layout plans are proposed. After analyzing the two plans with logistics, management conveniences, project expansibility, safety production, the final design is obtained by using the weighted factor method, which can achieve production system optimization.According to the material handling costs and nonmaterial relation requirements, a mathematical model of workshop facility layout was formulated by combining the normalized value of two objectives and the comprehensive relation graph for all the operating units in the factory is obtained by the method of the classical Systematic Layout Planning (SLP), combined with genetic algorithm was used to solve it. When the fitness function is calculated, applying the penalty function change the objective function into unconstrained optimization function. The position coordinates of the layout of the facilities are obtained by genetic manipulation.Layout optimization software is developed to solve the example of applications. System requirements analysis contains functional requirements analysis and feasibility analysis; overall design includes functional module design, system development tools selection, database interface selection and genetic algorithm design; and interface design. Software system is applied to solve practical problems in plant layout, impact factors (genetic parameters, genetic schemes and penalty parameters) were analyzed and discussed respectively.