데이터마이닝을 이용한 공정변수 파악 및 개선방법

• 영문명: Improvement and Detection of Process Variables Using Data Mining
• 발행기관: 한국산업경영시스템학회
• 저자명: 정영수 강창욱
• 간행물 정보: 『한국산업경영시스템학회 학술대회』2005년 춘계학술대회 논문집, 272~278쪽, 전체 7쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2005.05.01

영문 초록

  This paper uses a data mining methodologies to improve and predict cause of defect process variables in manufacturing process. Traditional statistical process control (SPC) techniques of control charting are not applicable in many process industries because it is difficult to analyze the cause of many process variables. The paper suggests that data mining methodologies useful when sequence rule, SVM (classification) methods are find out cause of defect process variables and SVM (prediction) methods used to predict process variables in manufacturing process. Therefore, it is allowing improved control in manufacturing process.

목차

Abstract
1. 서론
2. 공정변수 파악 및 개선방법
3. 사례연구
4. 결론
참고문헌

키워드

SPC data mining process variables process improvement