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Identification Process Variables and Process Improvement Using Data Mining

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한국산업경영시스템학회지 (Journal of Society of Korea Industrial and Systems Engineering)
한국산업경영시스템학회 (Society of Korea Industrial and Systems Engineering)
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

저자
  • 정영수 | Young-Soo Jeong
  • 강창욱 | Chang-wook Kang
  • 변성규 | Sung-Kyu Byeon