The efficient routing and scheduling of multi-parcel chemical tankers is a challenging problem for both chemical and shipping industry. To optimally manage complex logistics problem, a novel continuous time precedence-based MILP mathematical formulation is developed to determine the optimal solution to the ship routing and scheduling. The approach aims to determine the assignment of cargos to ships and define the optimal route that each ship should follow to maximize its profit. The MILP-based model is then combined with an iterative algorithm in order to tackle large-scale problems involving a large numbers of ships, ports, and cargos. To illustrate the applicability and importance of the proposed method, a real industrial case study taken from literature is solved with modest CPU times.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Logistics Management in Maritime Transportation Systems


    Beteiligte:
    M. Coccola (Autor:in) / C.A. Mendez (Autor:in)


    Erscheinungsdatum :

    2013




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Special issue on maritime logistics and transportation intelligence

    International Conference on Intelligent Manufacturing and Logistics Systems | TIBKAT | 2015


    Risk Analysis of Cold Logistics Chains in Maritime Transportation

    Shen, Lixin / Zhu, Guoqing / Qian, Xueqi et al. | IEEE | 2019


    Maritime Logistics

    Lai, Kee-hung / Yang, Dong | Springer Verlag | 2024



    Guest Editorial: Special Issue on Maritime Transportation and Port Logistics

    Psaraftis, Harilaos N. | British Library Online Contents | 2015