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Journal of the Korea Safety Management & Science (대한안전경영과학회지)
- Volume 12 Issue 3
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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)
Quality Imporovement of Auto-Parts Using Data Mining
데이터마이닝을 이용한 자동차부품 품질개선 연구
- 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.)
- Received : 2010.07.20
- Accepted : 2010.08.23
- Published : 2010.09.30
Abstract
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.