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ISSN : 2005-0461(Print)
ISSN : 2287-7975(Online)
Journal of Society of Korea Industrial and Systems Engineering Vol.30 No.2 pp.99-105
DOI :

# 데이터 바이닝을 이용한 로버스트 설계 모형의 최적화

정혜진*, 구본철 **
동아대학교 산업경영공학과*, 동명대학교 기계공학과**

# Optimization of Robust Design Model using Data Mining

Bon-Cheol Koo*, Jung Hey-Jin *
Department of Mechanical Engineering, Tongmyong University**
Department of Industrial & Management Systems Engineering, Dong-A University*
[$AuthorMark7$]

### Abstract

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