데이터 마이닝을 이용한 로버스트 설계 모형의 최적화

• 영문명: Optimization of Robust Design Model using Data Mining
• 발행기관: 한국산업경영시스템학회
• 저자명: 정혜진(Hey-Jin Jung) 구본철(Bon-Cheol Koo)
• 간행물 정보: 『산업경영시스템학회지』제30권 제2호, 99~105쪽, 전체 7쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2007.06.30

영문 초록

  According to the automated manufacturing processes followed by the development of computer manufacturing technologies, products or quality characteristics produced on the processes have measured and recorded automatically. Much amount of data daily produced on the processes may not be efficiently analyzed by current statistical methodologies (i.e., statistical quality control and statistical process control methodologies) because of the dimensionality associated with many input and response variables. Although a number of statistical methods to handle this situation, there is room for improvement. In order to overcome this limitation, we integrated data mining and robust design approach in this research. We find efficiently the significant input variables that connected with the interesting response variables by using the data mining technique. And we find the optimum operating condition of process by using RSM and robust design approach.

목차

1. 서론
2. 데이터 마이닝을 이용한 로버스트 설계의 최적화
3. 수치예제
4. 결론
참고문헌

키워드

Data Mining CBFS BFS RSM Robust Design