통계적 유의성을 고려하여 고객 요구속성의 중요도를 산정하는 방법 = A Method to Determine the Final Importance of Customer Attributes Considering Statistical Significance

다국어 초록 (Multilingual Abstract)

Obtaining the accurate final importance of each customer attribute (CA) is very important in the house of
quality(HOQ), because it is deployed to the quality of the final product or service through the quality function
deployment(QFD). The final importance is often calculated by the multiplication of the relative importance rate
and the competitive priority rate. Traditionally, the sample mean is used for estimating two rates but the dispersion
is ignored. This paper proposes a new approach that incorporates statistical significance to consider
the dispersion of rates in determining the final importance of CA. The approach is illustrated with a design
of car door for each case of crisp and fuzzy numbers.

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