データ包絡分析法を用いたトレンド分析法の開発

概要

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In many industrial products there is saturation of technical issues, and customers have already satisfied with the most of them. Now, they would like to choose one which has their needs within their budgets. In that sense, it becomes more and more important to meet their various satisfactions. In order to find good aims for designing next products, it might be important to know the trend of the products. In this study, we basically use Total Technical Evaluation (TTE), which we have proposed in the previous study. We prepare time series data and evaluate TTE for each year, and also for whole data, and show the growth of technical frontier by using TTE. We also evaluate difference between whole frontier and each categorys frontier, and evaluate originality of each category. With time series data, we also can evaluate growth of them. And we also evaluate characteristic analysis in time series to show that each category has been matured or still moving to meet customers satisfaction. In this paper, we demonstrate the proposed method in automobile data from 1995 to 2002 and show the effectiveness of the method.