The human resources represent the key performance of each component of the supply chain. In this context and in order to optimize these resources, this work deals with a problem of seafaring staff scheduling through the proposal of a mathematic formulation of this problem and an interactive decision support that is based on two approximate methods. It should be noted that the results was approved through a real data case collected from a maritime company called SONOTRAK.


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    Titel :

    GRASP for seafaring staff scheduling: Real case


    Beteiligte:


    Erscheinungsdatum :

    01.05.2013


    Format / Umfang :

    229652 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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