Scenarios for Manufacturing Process Data Analysis using Data Mining

데이터 마이닝을 이용한 생산공정 데이터 분석 시나리오

  • Lee, Hyoung-wook (Department of Energy System Engineering, Korea National University of Transportation) ;
  • Bae, Sung-min (Department of Industrial & Management Engineering, Hanbat National University)
  • 이형욱 (한국교통대학교 에너지시스템공학과) ;
  • 배성민 (한밭대학교 산업경영공학과)
  • Received : 2013.03.05
  • Accepted : 2013.04.29
  • Published : 2013.05.31

Abstract

Process and manufacturing data are numerously accumulated to the enterprise database in industries but little of those data are utilized. Data mining can support a decision to manager in process from the data. However, it is not easy to field managers because a proper adoption of various schemes is very difficult. In this paper, six scenarios are conducted using data mining schemes for the various situations of field claims such as yield problem, trend analysis and prediction of yield according to changes of operating conditions, etc. Scenarios, like templates, of various analysis situations are helpful to users.

Keywords