데이터마이닝을 이용한 공정변수 확인 및 공정개선

• 영문명: Identification Process Variables and Process Improvement Using Data Mining
• 발행기관: 한국산업경영시스템학회
• 저자명: 정영수(Young-Soo Jeong) 강창욱(Chang-wook Kang) 변성규(Sung-Kyu Byeon)
• 간행물 정보: 『산업경영시스템학회지』제28권 제3호, 166~171쪽, 전체 6쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2005.09.01

영문 초록

With development of the database, there are too many data on process variables and the manufacturing process for the traditional statistical process control methods to identify the process variables related with assignable causes. Data mining is useful in this situation and provides variety of approaches for improving the process. In this paper, we applied control charts to monitor the process and if assignable causes are detected, then we applied the SVM technique and the sequence pattern analysis to find out the process variables suspected. These techniques made possible to predict the behavior of process variables. We illustrated our proposed methods with real manufacturing process data.

목차

Abstract

1. 서론

2. 공정변수 파악 및 개선방법

3. 사례연구

4. 결론

참고문헌