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An Agent-Based Approach to Schedule Crane Operations in Rail-Rail Transshipment Terminals

In: Computational Management Science

Author

Listed:
  • Sam Heshmati

    (University of Porto)

  • Zafeiris Kokkinogenis

    (University of Porto)

  • Rosaldo J. F. Rossetti

    (University of Porto)

  • Maria Antónia Carravilla

    (University of Porto)

  • José Fernando Oliveira

    (University of Porto)

Abstract

Rail-rail transshipment terminals (RRTT) play the hub role in hub-and-spoke rail networks. In this type of terminals, containers are transshipped among freight trains by gantry cranes. This study aims at scheduling crane operations with an agent-based simulation approach to minimize the total transshipment time. The decisions to make include: the positions of containers on outbound trains; the assignment of container moves to cranes, as overlapping areas for the cranes’ operation are considered; the sequence of transshipments. The contribution of this paper is an agent-based approach to the crane operations scheduling problem in a RRTT framework. This approach is validated on a set of instances taken from the literature and the results compared against a variable neighbourhood descent algorithm.

Suggested Citation

  • Sam Heshmati & Zafeiris Kokkinogenis & Rosaldo J. F. Rossetti & Maria Antónia Carravilla & José Fernando Oliveira, 2016. "An Agent-Based Approach to Schedule Crane Operations in Rail-Rail Transshipment Terminals," Lecture Notes in Economics and Mathematical Systems, in: Raquel J. Fonseca & Gerhard-Wilhelm Weber & João Telhada (ed.), Computational Management Science, edition 1, pages 91-97, Springer.
    • Handle: RePEc:spr:lnechp:978-3-319-20430-7_12
    DOI: 10.1007/978-3-319-20430-7_12
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