Requirements Derivation and Implementation of Agent-based SPC System by Task Analysis

활동 분석을 통한 에이전트 SPC의 요구사항 규명 및 시스템 구현

  • Yoo, Ki-Hoon (Department of Industrial Information and System Engineering, Ajou University) ;
  • Lee, Jae-Hoon (Department of Industrial Information and System Engineering, Ajou University) ;
  • Kim, Ki-Tae (Department of Industrial Information and System Engineering, Ajou University) ;
  • Jang, Joong-Soon (Department of Industrial Information and System Engineering, Ajou University)
  • Received : 2009.10.29
  • Accepted : 2009.12.28
  • Published : 2010.03.25

Abstract

Statistical process control (SPC) is a powerful technique for monitoring, managing, analysing and improving the process performance. However, its has limitations such as lack of engineering, statistical skill and training, and lesser importance of activity. To solve the problems, this study proposes an intelligent SPC system using specified agents which are derived through analysis and evaluation of the SPC activities. The activities investigated by the relevant researches are categorized as collection, process analysis, diagnosis, detection, cause analysis and rule generation. Also, the evaluation criteria are established as feasibility of automation, frequency, level and time. The requirements of the agent functions are derived by the evaluation, and the types of customized agents are as data collection, store, analysis, diagnosis, monitoring, alarm and reporting. A prototype SPC system represents that the functions of the proposed agents are successfully validated.

Keywords

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