Abstract
In the very early stage of design process, senior designers have to decide importance of technical issues that their products need and they have to weight to each function. Although these initial decisions play quite important roles in the final design, it is very difficult to optimize these weighting factors. One of important reasons is that its difficulty in estimating total estimation in scalar. And also, it is quite difficult to optimize weights. In this study, we use Data Envelopment Analysis (DEA), which can derive total estimation and optimum weights by given data. In order to show the effectiveness of the proposed method, we collect data of Japanese automobiles in 1999 from information magazine and estimate total technical evaluation and its weights.
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