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

Sam Heshmati (), Zafeiris Kokkinogenis (), Rosaldo J. F. Rossetti, Maria Antónia Carravilla () and José Fernando Oliveira ()
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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

A chapter in Computational Management Science, 2016, pp 91-97 from Springer

Abstract: 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.

Keywords: Load Factor; Ground Vehicle; Variable Neighbourhood Descent; Gantry Crane; Container Move (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnechp:978-3-319-20430-7_12

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DOI: 10.1007/978-3-319-20430-7_12

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