참고문헌
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- 정영수, 강창욱, 변성규 (2005) 데이터마이닝을 이용한 공정변수확인및공정개선
- 남호수, 정현석(2004) 품질마이닝에서신경망의활용
- Quinlan, J.R. (1993) C4.5 : Programs for Machine Learning
대한안전경영과학회지 (Journal of the Korea Safety Management & Science)
- 제12권3호
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- Pages.333-339
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- 2010
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- 1229-6783(pISSN)
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- 2288-1484(eISSN)
데이터마이닝을 이용한 자동차부품 품질개선 연구
Quality Imporovement of Auto-Parts Using Data Mining
- Byun, Yong-Wan (Business Growth Excellerating Team, Jeonbuk Institute of Automotive Technology) ;
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Yang, Jae-Kyung
(Dept. of Industrial and Information Systems Engineering, Chonbuk National Univ.)
- 투고 : 2010.07.20
- 심사 : 2010.08.23
- 발행 : 2010.09.30
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.