Optimization Analysis Of Project Design Process Based On Interval Number DSM

As a modeling and analysis tool of project management, design structure matrix (DSM) can support the decomposition and integration of design programs with simple and vivid description method through analyzing information contact among tasks. However, in actual process of project management, it is difficult for manager to grasp the information connection among design tasks accurately. It belongs to the problem of uncertain information. For such problem, this paper presents a sorting algorithm to optimize the project design process based on interval number design structure matrix (INDSM). First, establish the interval number design structure matrix model and design the general optimization algorithm of it through partitioning, coupling and decoupling operations. Then this paper builds a feedback evaluation function to verify the effectiveness of optimization model. The designed optimization algorithm of interval number DSM is used to analyze the process of one aircraft development project. This model takes the situation of uncertain information into consideration, overcomes the limitation to data in traditional method, and can describe actual situation more reasonable. Calculating example shows that the designed optimization algorithm can reduce the feedback of project process, make the execution of tasks more smoothly and information connection in project more reasonable, thus reducing the risk of project.