2009 年 75 巻 751 号 p. 749-759
Planning of a design process that includes creative and concurrent activities has become more important for successful product development in a competitive market. Because of this creativeness and concurrency of design process, required time and cost of a design task is vague. Therefore, in planning a design process, it is more essential to manage a target of design attainment, and to predict whether or not a planned design process can achieve the target, than to predict time and cost required in whole design process. This paper proposes a new method of design process planning that focuses on quantitative prediction of design attainment in a creative and concurrent design process. A growth curve model using fuzzy numbers is introduced to predict the progressive attainment of each task and progressive attainment of consistency between tasks after running a planned design process. A design structure matrix (DSM) is used to represent task dependency and communication efficiency. A design process plan is evaluated by the probability that the task attainment achieves the target level. A prototype system that supports design process planning based on the proposed method is developed. This paper demonstrates its application to a student formula car project.