Computational Framework for Port Community Systems Towards Synchromodal Freight Networks

  1. JOÃO LEMOS NABAIS 1
  2. CARLOS BATISTA 1
  3. MIGUEL AYALA BOTTO 2
  4. ENCARNACIÓN CORDÓN LAGARES 3
  1. 1 Instituto Politecnico de Setubal
    info

    Instituto Politecnico de Setubal

    Setúbal, Portugal

    ROR https://ror.org/01bvjz807

  2. 2 Universidade de Lisboa
    info

    Universidade de Lisboa

    Lisboa, Portugal

    ROR https://ror.org/01c27hj86

  3. 3 Universidad de Huelva
    info

    Universidad de Huelva

    Huelva, España

    ROR https://ror.org/03a1kt624

Erakutsi afiliazioak +
Aldizkaria:
Estudios de economía aplicada

ISSN: 1133-3197,  1697-5731

Argitalpen urtea: 2018

Zenbakien izenburua: Economía del transporte y logística portuaria

Alea: 36

Zenbakia: 3

Orrialdeak: 691-714

Mota: Artikulua

DOI: 10.25115/EEA.V36I3.2549 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Beste argitalpen batzuk: Estudios de economía aplicada

Laburpena

Port Community Systems (PCS) plays a role in supporting the competitiveness and efficiency of seaports through the reduction in both costs and the time needed for cargo to stay at the port. At seaports, multiple transport providers interact and a transport modal switch may occur. Seaports are therefore especially suited to assist the collaboration between terminals and transport providers. For doing so, a framework for sharing information between partners is needed in order to find transport solutions that can deliver cargo on-time, in a typical win-win situation. In this paper, we discuss a framework for guiding a wise allocation of cargo. The seaport is modeled as a store system, and cargo is categorized according to fixed properties and time varying properties (remaining time until due-time or expiration date). The cooperation is done in real-time and is a step towards synchromodal freight networks.

€ Ikusi finantzaketa

Finantzaketari buruzko informazioa

This work was supported by FCT, through IDMEC, under LAETA Pest-OE/EME/LA0022

Finantzatzaile

  • FCT Portugal
    • LAETA Pest-OE/EME/LA0022

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