ミズヤマ ハジメ   MIZUYAMA Hajime
  水山 元
   所属   青山学院大学  理工学部 経営システム工学科
   職種   教授
言語種別 日本語
発行・発表の年月 2006
形態種別 学術雑誌
査読 査読有り
標題 決定木分析援用型多段階品質情報推移モデルの提案 : 多段階品質情報推移モデルに基づく品質データマイニングの研究(第2報)
執筆形態 共同
掲載誌名 日本経営工学会論文誌
巻・号・頁 214-221頁
著者・共著者 淺田克暢, 山田賢太郎
概要 Detecting causal factors of quality defects is a crucial step in improving manufacturing quality in a multi-stage production system. In order to streamline this task with the help of a manufacturing database, this paper presents an explorative data analysis approach called the multi-stage quality information model (MSQIM) based on decision tree analysis. This approach first defines a ⊂ of the manufacturing database for each single process step of the production system, which contains only the process data that have been collected until the process step. Then, it utilizes decision tree analysis to extract quality information from each defined database ⊂. This results in plural decision tree models corresponding to the process steps of the production system. The approach finally traces how quality information varies along the process steps, both quantitatively and qualitatively. How the quality information amount changes makes it possible to identify the process steps that require further focus, even when sufficient potential factors cannot be specified from the given database alone. Further, a leaf node transition graph is introduced to interpret the relationships between consecutive decision tree models, and is found to be effective to guide hypothesis generation about causal factors of defects and defect-causing mechanisms. An industrial example shows the power of this approach.