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

Society of Korea Industrial and System Engineering (한국산업경영시스템학회)
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Defect Type Prediction Method in Manufacturing Process Using Data Mining Technique

데이터마이닝 기법을 이용한 제조 공정내의 불량항목별 예측방법

  • 변성규 (삼성전자로지텍(주) 국판물류팀) ;
  • 강창욱 (한양대학교 정보경영공학과) ;
  • 심성보 (한양대학교 산업공학과)
  • Published : 2004.06.01
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Abstract

Data mining technique is the exploration and analysis, by automatic or semiautomatic means, of large quantities of data in order to discover meaningful patterns and rules. This paper uses a data mining technique for the prediction of defect types in manufacturing Process. The Purpose of this Paper is to model the recognition of defect type Patterns and Prediction of each defect type before it occurs in manufacturing process. The proposed model consists of data handling, defect type analysis, and defect type prediction stages. The performance measurement shows that it is higher in prediction accuracy than logistic regression model.

Keywords

References

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