| New product development process management is the key point of new product success,this is the same to the automotive components industry.As the automotive sales volume rising year by year in China,the competition among automobile brands is becoming fiercer and fiercer,which puts forward higher requirements of cycle time and cost for the components suppliers.On the other hand,under the trend of electrification and intellectualization,The choice and process decision of new product development are related to the future of the auto parts suppliers.Automotive connector is responsible for the connection function of automotive electrical system.As connector suppliers,they not only face the pressure of cost and development cycle from the OEMs,but also the problems of product selection and decisionmaking brought by the reform of the industry.How to shorten the development cycle,reduce the development cost and make good product development decision has beco me a common problem for automotive connector suppliers.This thesis takes the automotive connector series development process of company S as the research object,and combines the Stage-Gate system management method and colored Petri net to model and simulate the development process of the automotive connector product series.The main work and results are as follows :1.By using structured product development framework of SGS and CPN tools,a process model combining time,cost and decision support is establi shed for the connector product series development process of company S.The historical data of development time and cost are integrated into the model.The detail process of conceptual design,trial design and mass production design stages were organized as the hierarchical subnet model,and the decision support model is designed for two evaluation gates.2.The model was automatically simulated multiple times through CPN tools to evaluate the product development time and cost,and the most likely development time and cost range of the case product are obtained by the statistical simulation results.The process optimization scheme is proposed combined with the results,and the optimized model is simulated multiple times again.The statistical results show that the optimized product development time is reduced by about 40%,and the product development cost is reduced by about 35%.3.Combine the theory of BPR and the optimized process model to practice in the product development of company S.In the practice of more than half a year,compared with the previous extensive development methods,the optimized structured product development process has achieved a certain degree of improvement in the development time and efficiency.4.This research establishes a top-down product development process modeling and optimization method,which combines SGS and colored Petri net.Through modeling,visualization and digitalization of the product development process can be realized to help the continuous improvement of product development process.It also provides a way for the enterprises or departments that cannot have high-cost product management system to deal with the process management.At the same time,it provides methods and tools for the process management of complex series product concurrent development,which has reference significance for improving product development efficiency,shortening development cycle and reducing development cost. |