This paper introduces the stochastic multi-modal hub location problem with direct link strategy and multiple capacity levels for cargo delivery systems under demand uncertainty. For capturing the uncertain nature of demand, we present a stochastic optimization model to formulate this problem formally via the expected value and the chance-constrained programming techniques. Under some mild assumptions, we propose a computationally tractable approach to turn the original model into a crisp equivalent integer second-order cone programming model, which can be efficiently solved by CPLEX for only small instances. Hence, we design a memetic algorithm incorporating genetic search and local intensification for realistic size instances. Furthermore, we provide extended analyses of the original model by considering the mode-specific hub and incorporating the fixed transportation cost. To demonstrate the superiority of the proposed model and the effectiveness of the solution approach, we conduct a series of computational experiments based on Turkish network data set.


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    Titel :

    The stochastic multi-modal hub location problem with direct link strategy and multiple capacity levels for cargo delivery systems


    Beteiligte:
    Shang, Xiaoting (Autor:in) / Yang, Kai (Autor:in) / Jia, Bin (Autor:in) / Gao, Ziyou (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2021-12-10


    Format / Umfang :

    31 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




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