In this work the management of truck arrivals in a maritime terminal is investigated as possible strategy to be used for obtaining a reduction in congestion and gate queues. In particular, a non-mandatory Truck Appointment System (TAS) is considered. Inspired by the work of Zehedner and Feillet 2013, we propose a multi-commodity network flow model for representing a maritime terminal. We solve a mixed integer linear programming model based on the network flow for determining the number of appointments to offer for each time window in such a way to serve trucks in the shortest time as possible, thus granting trucks a "good" service level. Some preliminary results are presented. Solutions show the effectiveness of the proposed model in flattening the arrivals distribution of vehicles.

Truck arrival management at maritime container terminals

Ambrosino, Daniela;Peirano, Lorenzo
2016

Abstract

In this work the management of truck arrivals in a maritime terminal is investigated as possible strategy to be used for obtaining a reduction in congestion and gate queues. In particular, a non-mandatory Truck Appointment System (TAS) is considered. Inspired by the work of Zehedner and Feillet 2013, we propose a multi-commodity network flow model for representing a maritime terminal. We solve a mixed integer linear programming model based on the network flow for determining the number of appointments to offer for each time window in such a way to serve trucks in the shortest time as possible, thus granting trucks a "good" service level. Some preliminary results are presented. Solutions show the effectiveness of the proposed model in flattening the arrivals distribution of vehicles.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11567/901639
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