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      통합자동생산시스템에서 최적운영방안 결정을 위한 유전자 알고리즘의 개발

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      https://www.riss.kr/link?id=E689632

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      다국어 초록 (Multilingual Abstract)

      We consider a Direct Input Output Manafacturing System(DIOMS) which has a munber of machine centers placed along a built-in Automated Storage/Retrieval System(AS/RS). The Storage/Retrieval (S/R) machine handles parts placed on pallets for the machine centers located at either one or both sides of the AS/RS.
      This report studies the operational aspect of DIOMS and determines the optimal operating policy by combining computer simulation and genetic algorithm. The operational problem includes: input sequencing control, dispatching rule of the S/R machine, machine center-based part type selection rule, and storage assignment policy. For each operating policy, several different policies are considered based on the known research results. In this report, using the computer simulation and genetic algorithm we suggest a method which gives the optimal configuration of operating policies within reasonable computation time.
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      We consider a Direct Input Output Manafacturing System(DIOMS) which has a munber of machine centers placed along a built-in Automated Storage/Retrieval System(AS/RS). The Storage/Retrieval (S/R) machine handles parts placed on pallets for the machine ...

      We consider a Direct Input Output Manafacturing System(DIOMS) which has a munber of machine centers placed along a built-in Automated Storage/Retrieval System(AS/RS). The Storage/Retrieval (S/R) machine handles parts placed on pallets for the machine centers located at either one or both sides of the AS/RS.
      This report studies the operational aspect of DIOMS and determines the optimal operating policy by combining computer simulation and genetic algorithm. The operational problem includes: input sequencing control, dispatching rule of the S/R machine, machine center-based part type selection rule, and storage assignment policy. For each operating policy, several different policies are considered based on the known research results. In this report, using the computer simulation and genetic algorithm we suggest a method which gives the optimal configuration of operating policies within reasonable computation time.

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      목차 (Table of Contents)

      • Abstract
      • 제1장 서론
      • 제2장 연구의 범위 및 국내·외 연구동향
      • Abstract
      • 제1장 서론
      • 제2장 연구의 범위 및 국내·외 연구동향
      • 제3장 DIO가공시스템 운영정책 결정을 위한 유전자알고리즘
      • 제4장 DIO가공시스템에서의 운영정책
      • 제5장 시뮬레이션을 위한 DIO가공시스템 모델링
      • 제6장 실험 및 결과분석
      • 제7장 결론
      • 참고문헌
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