Abstract
Recently, with globalization in industry, there is a concern about increase of defects caused by using products in unexpected ways. To solve this problem, a method to predict such defects in products in advance is required. We have been proposing a design support system that predicts possible defects in products at the conceptual design phase by modeling qualitatively expressed events and their causal relationships with petri nets. However, the proposed system presents a large number of possible defects, and the user must select them. Therefore, in this paper, we focus on the passage of time. First, we modify the event and causality model in terms of temporal context. After that, the time-consuming event and causality are formulated. Moreover, the time integral of an attribute is modeled. This makes it possible to classify whether the expected defect occurs immediately or after a long period of time. This classification will be useful for determining if the design should be modified.
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