Optimal Design of Timetables for Large Railways: a framework to maximise schedule robustness and minimise resource deployment,using a multi-objective mathematical model

Optimal Design of Timetables for Large Railways: a framework to maximise schedule robus...

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    Optimal Design of Timetables for Large Railways: a framework to maximise schedule robustness and minimise resource deployment,using a multi-objective mathematical model

    $119.00 CAD
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    Book Details

    Format
    Paperback
    Language
    English
    Category
    Industries
    Condition
    New
    ISBN-13
    9783838338491
    ISBN-10
    3838338499

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    Product description

    ISBN: 3838338499

    Author: Nag, Bodhibrata

    Condition: New

    This monograph presents a framework for optimum design of timetables to maximise schedule robustness and minimise resource deployment, especially for large railway networks, wherein the problem has been formulated as a multi-objective non-linear model. The monograph?s contribution is the formulation of methods to reduce the problem size to computationally manageable proportions, and thus enable planners to undertake network-wide optimisation studies. The monograph demonstrates that the design of timetables can be spread over a canvas incorporating not only over the entire railway network, thus enabling study of the mutual interactions across the network, but also involving the optimisation of crew and rolling stock in the purview of the model. This can thus emulate the planning process more truthfully, wherein piecemeal optimisations are of little import. This monograph should be especially useful for researchers engaged in problems pertaining to railway networks, railway network planners, railway decision support software developers or one interested in industrial applications of operations research.

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    Optimal Design of Timetables for Large Railways: a framework to maximise schedule robustness and minimise resource deployment,using a multi-objective mathematical model

    $119.00 CAD
     per 

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