Development of Automated Data Mining System for Quality Control in Manufacturing

作者: Hideyuki Maki , Yuko Teranishi

DOI: 10.1007/3-540-44801-2_10

关键词: Process (engineering)Manufacturing engineeringKnowledge baseKnowledge extractionData miningQuality (business)Computer scienceInformation extractionComputer-integrated manufacturingTask (project management)

摘要: The production process in manufacturing has recently become highly complex. Therefore, it is difficult to solve problems a process, by only using techniques that depend on the knowledge and knowhow of engineers. Knowledge discovery databases (KDD) are supposed assist engineers extracting non-trivial characteristics beyond their knowhow. However, KDD basically user-driven task such manner not efficient enough for use application. We developed an automated data-mining system designed quality control manufacturing. It three features; periodical-analysis, storing result, temporal-variances result. applied liquid crystal display fabrication found useful rapid recovery from process.

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