Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Intelligent FMC Scheduling Utilizing Neural Network and Expert System

신경회로망과 전문가시스템에 의한 FMC의 지능형 스케쥴링

  • 박승규 (삼성 SDS 주식회사) ;
  • 이창훈 (한라대학교 전기공학부) ;
  • 김유남 (한라대학교 전기공학부) ;
  • 장석호 (연세대학교 기계전자공학부 전기공학전공) ;
  • 우광방 (연세대학교 기계전자공학부 전기공학전공)
  • Published : 1998.10.01
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Abstract

In this study, an intelligent scheduling with hybrid architecture, which integrates expert system and neural network, is proposed. Neural network is trained with the data acquired from simulation model of FMC to obtain the knowledge about the relationship between the state of the FMC and its best dispatching rule. Expert system controls the scheduling of FMC by integrating the output of neural network, the states of FMS, and user input. By applying the hybrid system to a scheduling problem, the human knowledge on scheduling and the generation of non-logical knowledge by machine teaming, can be processed in one scheduler. The computer simulation shows that comparing with MST(Minimum Slack Time), there is a little increment in tardness, 5% growth in flow time. And at breakdown, tardness is not increased by expert system comparing with EDD(Earliest Due Date).

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