Computer simulation technology is widely used in automobile assembly line transportation and process simulation.There are many types of equipment for the total installation and transportation line,and the process is complicated,so it takes a lot of time to establish the equipment simulation model and process flow.At the same time,most of the process simulations ignore the impact of human factors and equipment failures on the production process,causing the simulation results to differ greatly from the actual process.Therefore,it is urgent to establish a simulation model,and consider the influence of human factors,accurately describe the running status of the line body.This article takes a certain automobile assembly line as the background,and studies the human factor reliability model of the assembly process,rapid simulation modeling technology and optimization issues of the transportation line.Firstly,the human reliability model on the operating station of assembly line was established.After analyzing the characteristics of operating station,operation time was divided into cognitive time and operation time.The learning forgetting theory and fatigue recovery curve were used to describe the two types of time.And the human reliability was established based on the two types of time and human cognitive reliability model.Secondly,the research on the rapid modeling technology of the assembly transport line was carried out.Based on the data-driven modeling,the basic simulation models and geometric parameters,control modeling information and equipment control logic required was determined for different equipment modeling.After that IDEF1 X chart was used to establish a data model for the equipment modeling information,and equipment modeling database was established in MS SQL Server.The database is accessed through the ODBC interface and the modeling was model in Plant Simulation.Finally,simulation and optimization on the PBS warehouse and interior assmebly line were carried out.Time of out the warehouses was reduced by increasing the loading speed of the warehouse-moving machine.The optimization of the interior trim line is divided into two parts:Without considering human reliability,TOPSIS based on entropy weight method and Particle Swarm Optimization were used to optimize the quantity of vehicles and the combination of the take time and the quantity of vehicles.The costs of vehicles was reduced by 8.33% and 5%.Aiming that the output of the line was below the theoretical value with human reliability,optimization was considered from four aspects: increasing the production cycle,optimizing the production schedule,increasing the quantity of vehicles,or adding buffer area.The final optimization solition that increasing the quantity of vehicles was determined.Compared with the original design,costs was decreased by 3.33% and output of line was increased by 6%.Finaly the optimization results of each branch line were input into the overall simulation mod for simulation. |