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응용논문

데이터마이닝을 이용한 자동차부품 품질개선 연구

원문정보

Quality Imporovement of Auto-Parts Using Data Mining

변용완, 양재경

피인용수 : 0(자료제공 : 네이버학술정보)

초록

영어

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.

목차

Abstract
 1. 서론
 2. 관련문헌 연구
 3. 알루미늄 연료탱크 제조공정
 4. 품질데이터 분석
  4.1 속성선정(Feature Selection)
  4.2 분류모델 분석
  4.3 연관분석(Association Model)
  4.4 공정변수 패턴 파악
 5. 결론 및 향후과제
 6. 참고문헌

저자정보

  • 변용완 Yong-Wan Byun. 전북자동차기술원 기업성장지원팀
  • 양재경 Jae-Kyung Yang. 전북대학교 공과대학 산업정보시스템공학과

참고문헌

자료제공 : 네이버학술정보

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