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Genetic algorithms for studies on AS/RS integrated with machines
M. Sarveswar Reddy
Published in
2003
Volume: 22
   
Issue: 11-12
Pages: 932 - 940
Abstract
This paper proposes the use of genetic algorithms (GAs) for storage and retrieval sequencing in an automated storage and retrieval system that is integrated with machines. Further, it addresses the sequencing when several requests are available and a dual command cycle is performed. The proposed approach is compared with storage and retrieval heuristics such as random, first come first served, and nearest neighbour heuristics. GA rule as machine scheduling is compared with shortest processing time, most work remaining, least operations remaining, least processing time, least work remaining, most operations remaining and random. Case studies demonstrate the effectiveness of the approach.
About the journal
JournalInternational Journal of Advanced Manufacturing Technology
ISSN02683768
Open AccessNo
Concepts (9)
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    Computer aided manufacturing
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    Computer control systems
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    Data storage equipment
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    Genetic algorithms
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    Information retrieval
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    Numerical control systems
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    AUTOMATED STORAGE AND RETRIEVAL SYSTEMS
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    Machine scheduling
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    FLEXIBLE MANUFACTURING SYSTEMS