Digital Simulation And Optimization For An Railway Production Line In An Iron And Steel Enterprise

the large-scale railway production line in iron and steel enterprise has the characteristics of complicated process and equipment, diversity of product types, accordance of production logistics and strictly matched production rhythm. It is difficult to arrange production plan, debug new product processing and optimize the production process. Traditional production management has the difficulties in managing the whole production process, and what's more, it's hard to realize the whole optimization in both time and cost. Simulation can greatly shorten system research and development cycle, find out the problems in production, and save development cost, therefore provide an efficient way to solve above management problem.In this thesis, a multi-function railway production line in an iron and steel enterprise is systematically simulated, in order to realize organization optimization, find out bottlenecks, predict processs capacity, improve equipment efficiency, and finally improve the capacity of the whole line.Firstly, work study method of Industry Engineering has been applied to investigate the production logistics situation, equipment parameters, and product parameters. Input data of simulation model has been abstracted based on these real production data.. Secondly, based on eM-plant simulation platform, object-oriented technology and simple++ technology, the model of heat furnace, BD1, BD2, U1E1,U2E2,UF and other equipment in both railway production line and profile bar production lineis set up Then, the product processing model is developed by abstracting product data from real production line. Finally, the whole multi-function production line, including railway production line and profile bar production line, is formulated by integrating equipment model and product model.Thirdly, dynamical running of the simulation model is realized by applying parameter dynamic simulation technology, simTalk simulation program technology, mathematics statistics and numerical analysis, and visual reality technology. The production line's production capacity and key equipment's workload rate are analyzed during the running process.Finally, the bottleneck of the production line is diagnosed by simulation and the model is rebuilt based on optimized scheme. The final production process optimization scheme is worked out after several optimization simulations by comparing the...