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Advisor(s)
Abstract(s)
Freight networks are more exposed to unforeseen events leading to
delays compromising the delivery of cargo on time. Cooperation among different
parties present at freight networks are required to accommodate the occurrence of
delays. Cargo assignment to the available transport capacity at the terminal is addressed
using a Model Predictive approach in this paper, taking into consideration
the final destination and the remaining time until due time of cargo. A cooperative
framework for transport providers and intermodal hubs is proposed in this paper.
The cooperation is based on information exchange regarding the amount of cargo
at risk of not reaching the destination on time. The terminal searches for a faster
connection at the terminal to allocate the cargo at risk such that the final destination
is reached on time. The proposed heuristic is a step towards sustainable
and synchromodal transportation networks. Simulation experiments illustrate the
validity of these statements.
Description
Trabalho apresentado em International Conference on Computational Logistics (ICCL’15), 2015,Delft, Holanda