Journal of Korean Society of Industrial and Systems Engineering (산업경영시스템학회지)

Society of Korea Industrial and System Engineering (한국산업경영시스템학회)
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Optimization of Robust Design Model using Data Mining

데이터 바이닝을 이용한 로버스트 설계 모형의 최적화

  • Jung, Hey-Jin (Department of Industrial & Management Systems Engineering, Dong-A University) ;
  • Koo, Bon-Cheol (Department of Mechanical Engineering, Tongmyong University)
  • 정혜진 (동아대학교 산업경영공학과) ;
  • 구본철 (동명대학교 기계공학과)
  • Published : 2007.06.30
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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.

Keywords

References

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