In this paper the problem of optimizing the train loading operations in innovative automated freight terminals is addressed. In particular, the considered terminal is supposed to be provided with an innovative transfer system allowing to load/unload containers in a fast and horizontal way under the electric line. In these terminals, the timing of the train loading process is crucial, together with the necessity of maximizing the number of containers to be loaded on the train. An optimization problem is stated for determining, while taking into account some specific constraints, the optimal loading plan in order to maximize the number of containers loaded and minimize the set up operations necessary for adapting wagons configurations to the various containers to be loaded. Besides the use of optimal algorithms, a heuristic procedure is also defined for solving the proposed optimization problem. The comparison among the two approaches shows very close performances both in terms of computational time and solutions quality.

Optimizing train loading operations in innovative and automated container terminals

ANGHINOLFI, DAVIDE;CABALLINI, CLAUDIA;SACONE, SIMONA
2014-01-01

Abstract

In this paper the problem of optimizing the train loading operations in innovative automated freight terminals is addressed. In particular, the considered terminal is supposed to be provided with an innovative transfer system allowing to load/unload containers in a fast and horizontal way under the electric line. In these terminals, the timing of the train loading process is crucial, together with the necessity of maximizing the number of containers to be loaded on the train. An optimization problem is stated for determining, while taking into account some specific constraints, the optimal loading plan in order to maximize the number of containers loaded and minimize the set up operations necessary for adapting wagons configurations to the various containers to be loaded. Besides the use of optimal algorithms, a heuristic procedure is also defined for solving the proposed optimization problem. The comparison among the two approaches shows very close performances both in terms of computational time and solutions quality.
2014
9783902823625
9783902823625
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/823272
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