Layout Optimization And Simulation Analysis Of Auto Parts Warehouse Based On Particle Swarm Optimization

The warehouse is the core of the warehousing system,and at this stage,China's warehousing industry is in the stage of transition from traditional to modern,and the warehousing industry will develop rapidly in the future.Warehouses enhance the economic benefits of companies by utilizing functions such as storage,classification,packaging and reverse logistics.The internal functional areas of modern warehouses are more subdivided,and warehouse planning cannot be concentrated on a specific functional area,but all functional areas need to be planned.From a macro perspective,the rational layout can improve the storage capacity and reduce the internal operating costs of the warehouse.From a micro perspective,the smooth operation of the warehouse and the rational allocation of resources can reduce the operating costs of the warehouse and improve the efficiency of the operation.Therefore,functional area planning and simulation analysis of the warehouse have practical guiding significance.This paper takes the auto parts warehouse of the assembly shop of Dongfeng Passenger Vehicle Company as the research object.Firstly,it analyzes the basic conditions of auto parts warehouse,including the status of layout and equipment,logistics status,warehouse operation characteristics,and the main operation procedures of storage and delivery,and identify the problems currently present in the warehouse,mainly including unreasonable layout of functional areas,imperfect storage machinery and equipment,unclear storage location and unscientific storage strategy.Secondly,it analyzes the basic data of the warehouse storage components,divides the functional area,calculates the space requirements of the functional area,analyzes the logistics relationship,non-logistics relationship and comprehensive relationship between functional areas and uses the traditional SLP method to obtain the preliminary layout scheme.Thirdly,establishes the layout mathematical model,uses the particle swarm optimization algorithm to solve the optimized layout scheme which is adjusted from two aspects: the object flow line and the channel design.The mathematical model contains two objective functions,one is that the total logistics strength of the functional area is the smallest,and the other is that the non-logistics relationship has the largest degree of adjacency.The preliminary layout scheme obtained by the traditional SLP method is compared with the optimized layout scheme solved by the particle swarm optimization algorithm,and the feasibility of using the particle swarm optimization algorithm to optimize the functional area layout is verified.Finally,on the basis of warehouse layout optimization,the Anylogic simulation software is used to simulate and model the auto parts warehouse,and the warehouse simulation model is built by combining the specific processes of inbound and outbound,and the warehouse staff,forklifts are adjusted by analyzing the simulation results,and the resource allocation scheme enables the warehouse system to better meet the requirements.Although this paper is an empirical study of the auto parts warehouse of the assembly shop of Dongfeng Passenger Vehicle Company,the method adopted in the warehouse layout planning and simulation process is universal for the planning and simulation of modern logistics warehouse.