Simulation modelling and multi-layer genetic algorithms to identify optimal crew allocation in the precast industry

Ammar Al-Bazi, N. Dawood

    Research output: Contribution to conferencePaper

    Abstract

    This paper presents an innovative approach to solve complex crew allocation problems in any labour-intensive industry.
    Original languageEnglish
    Pages393
    Publication statusPublished - 2010

    Fingerprint

    Genetic algorithms
    Personnel
    Computer simulation
    Industry

    Bibliographical note

    The full text is available from: http://www.engineering.nottingham.ac.uk/icccbe/proceedings/html/197.htm

    Keywords

    • simulation
    • genetic algorithms
    • precast concrete
    • allocation problem

    Cite this

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    title = "Simulation modelling and multi-layer genetic algorithms to identify optimal crew allocation in the precast industry",
    abstract = "This paper presents an innovative approach to solve complex crew allocation problems in any labour-intensive industry.",
    keywords = "simulation, genetic algorithms, precast concrete, allocation problem",
    author = "Ammar Al-Bazi and N. Dawood",
    note = "The full text is available from: http://www.engineering.nottingham.ac.uk/icccbe/proceedings/html/197.htm",
    year = "2010",
    language = "English",
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    AU - Dawood, N.

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    AB - This paper presents an innovative approach to solve complex crew allocation problems in any labour-intensive industry.

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    KW - allocation problem

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    ER -