Research On Progress Management Of Embedded System Project Development

With the continuous improvement of science and technology,customized requirements can be achieved.Highly integrated embedded products have been widely used in various industries.At present,most of the embedded R&D needs in the domestic market are undertaken by small and medium-sized enterprises which are active in the front of the market.However,the customer needs of embedded system R&D projects in these enterprises are usually changeable,the management plan is not perfect,and the management process is out of control.These factors usually lead to project delays and waste of resources.Therefore,according to the characteristics of the enterprise itself,using scientific management methods and tools is the key to ensure the success of R&D projects.IPD and project schedule management theory are two theoretical tools used in this paper.Through the application of theoretical methods,this paper optimizes the project schedule management method.Although project management theory has been put forward and applied for a long time,the actual application of embedded system projects is not the same.As an embedded research and development personnel,combined with extensive project management process in my project,reasonable use of scientific methods and tools to improve project efficiency has become my unshirkable responsibility.Based on the idea of integrated product development and the current management situation of XA company,this paper optimizes and reorganizes the project organization structure and R&D process of XA company.The schedule management method mainly uses WBS work structure decomposition to decompose the complex work in embedded project reasonably,and then makes reasonable and feasible project plan through PERT network plan chart and CPM critical path method.In this paper,through the combination of theory and practice,the application of scientific management methods in embedded projects is demonstrated,which plays a positive role in solving practical problems.At the same time,it can help enterprises save R&D resources and improve production efficiency.