데이터마이닝을 이용한 자동차부품 품질개선 연구 Quality Imporovement of Auto-Parts Using Data Mining
변용완, 양재경
- 언어KOR
- URLhttp://db.koreascholar.com/Article/Detail/245839
대한안전경영과학회지
제12권 제3호
(2010.09)
pp.333-339
pp.333-339
대한안전경영과학회
(Korea Safety Management & Science)
초록
Data mining is the process of finding and analyzing data from a big database and summarizing it into useful information for a decision-making. A variety of data mining techniques have been being used for wide range of industries. One application of those is especially so for gathering meaningful information from process data in manufacturing factories for quality improvement. The purpose of this paper is to provide a methodology to improve manufacturing quality of fuel tanks which are auto-parts. The methodology is to analyse influential attributes and establish a model for optimal manufacturing condition of fuel tanks to improve the quality using decision tree, association rule, and feature selection.
저자