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      유연생산시스템의 효율적 운용을 위한 지능적 기법의 적용에 관한 연구 = Application of Intelligent Technique for the Efficient Operation of the Flexible Manufacturing System

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      https://www.riss.kr/link?id=E689985

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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      This research involves the development and evaluation of a work flow control model for a type of flexible manufacturing system (FMS) called a flexible line (FFL). The control model can be considered as a kind of hybrid intelligent model in that it utilizes both computer simulation and neural network technique. Training data sets were obtained using computer simulation of typical FFL states. And these data sets were used to train the nueral network model. The model can easily incorporate particular aspects of a specific FFL such as limited butter capacity and dispatching rules used. It also dynamically adapts to system uncertainty caused by such factors as machine breakdowns. Performance of the control model is shown to be superior to the random releasing method and the Minimal Part Set (MPS) heuristic in terms of machine utilization and work in process inventory level.
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      This research involves the development and evaluation of a work flow control model for a type of flexible manufacturing system (FMS) called a flexible line (FFL). The control model can be considered as a kind of hybrid intelligent model in that it uti...

      This research involves the development and evaluation of a work flow control model for a type of flexible manufacturing system (FMS) called a flexible line (FFL). The control model can be considered as a kind of hybrid intelligent model in that it utilizes both computer simulation and neural network technique. Training data sets were obtained using computer simulation of typical FFL states. And these data sets were used to train the nueral network model. The model can easily incorporate particular aspects of a specific FFL such as limited butter capacity and dispatching rules used. It also dynamically adapts to system uncertainty caused by such factors as machine breakdowns. Performance of the control model is shown to be superior to the random releasing method and the Minimal Part Set (MPS) heuristic in terms of machine utilization and work in process inventory level.

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      목차 (Table of Contents)

      • Abstract
      • 1. 서론
      • 2. 유연흐름라인의 작업흐름통제
      • Abstract
      • 1. 서론
      • 2. 유연흐름라인의 작업흐름통제
      • 3. 인공신경망
      • 4. 시뮬레이션 모형
      • 5. 인공신경망 작업투입모형
      • 6. 실험결과
      • 7. 결론과 향후 연구과제
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