Highlights ► We study the tactical level crew capacity planning problem. ► We develop a layered network representation to consider the day-off constraint. ► An integrated decision making approach performs better than a sequential approach. ► We consider a more strategic level problem that includes multiple crew regions. ► The real life data shows that the new approaches bring substantial improvements.

    Abstract Tactical crew capacity planning problem in railways involves finding the minimum number of crews in a region required to operate a predetermined set of train duties satisfying the strict day-off requirement for crew. For the single-region problem, we develop two solution approaches based on a space–time network representation: the sequential approach and the integrated approach. We also study the multi-regional capacity planning problem where we minimize total system-wide capacity by simultaneously considering multiple regions within a neighborhood search algorithm based on our solution methods for the single-region problem. We present the computational study on problem instances from Turkish State Railways.


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    Title :

    Tactical crew planning in railways


    Contributors:


    Publication date :

    2011-04-28


    Size :

    23 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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