| The manufacturing model is constantly changing with the rapid development of manufacturing technology.It is urgent for manufacturing companies to meet market demands and shorten production period.Modeling and simulation of production line is an important way to achieve this goal.But traditional production line modeling methods with complex models and complicated theoretical analysis,are only suitable for relatively simple production systems.Therefore,the method of modeling,simulation and optimization of complex production system is studied based on the camshaft production line of automotive parts.Firstly,combining with the existing discrete system modeling methods and the actual camshaft production process,an object-oriented hierarchical Petri net(H-OOPN)modeling method is proposed.The production line is divided into the whole and the part according to the hierarchical thought,and H-OOPN models for the upper and lower modules are established respectively.Then,based on the H-OOPN model,the production line is analyzed using the incidence matrix and the state equation analysis method,which can ensure no deadlock occurs during the production operation.Also,the research on production balancing is carried out.Then,the simulation and optimization technology of the camshaft production line model in the logic layer and the resource layer is carried out based on the Plant Simulation software platform.First,we define the mapping rules of the H-OOPN theoretical model to the Plant Simulation simulation model,set simulation control parameters and analyze the simulation results.At the same time,according to the performance evaluation indicators such as period of production,theoretical minimum number of stations and equipment utilization,the analysis of production bottlenecks and the accuracy of theoretical analysis are conducted.Finally,the corresponding optimization schemes about unbalanced equipment utilization and serious congestion are proposed.By comparing the working state of the equipment with previous scheme,the rationality and effectiveness of the optimization scheme are verified,and the production efficiency and equipment utilization of the enterprise are improved. |