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

  • 제28권3호
  • /
  • Pages.166-171
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  • 2005
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  • 2005-0461(pISSN)
  • /
  • 2287-7975(eISSN)
한국산업경영시스템학회 (Society of Korea Industrial and System Engineering)
권호 표지

데이터마이닝을 이용한 공정변수 확인 및 공정개선

Identification Process Variables and Process Improvement Using Data Mining

  • 정영수 (한양대학교 산업공학과) ;
  • 강창욱 (한양대학교 정보경영공학과) ;
  • 변성규 (삼성전자로지텍(주) 국판물류팀)
  • Jeong, Young-Soo (Dept. of Industrial Engineering, Hanyang University) ;
  • Gang, Chang-Uk (Dept. of Information & Industrial Engineering, Hanyang University) ;
  • Byeon, Seong-Kyu (Domestic Logistics Team, Samsung Electronics Logitech Co. LTD)
  • 발행 : 2005.09.30
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초록

With development of the database, there are too many data on process variables and the manufacturing process for the traditional statistical process control methods to identify the process variables related with assignable causes. Data mining is useful in this situation and provides variety of approaches for improving the process. In this paper, we applied control charts to monitor the process and if assignable causes are detected, then we applied the SVM technique and the sequence pattern analysis to find out the process variables suspected. These techniques made possible to predict the behavior of process variables. We illustrated our proposed methods with real manufacturing process data.

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참고문헌

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