An Optimization Approach for the Train Load Planning Problem in Seaport Container Terminals

Daniela Ambrosino (), Davide Anghinolfi (), Massimo Paolucci () and Silvia Siri ()
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Daniela Ambrosino: University of Genoa
Davide Anghinolfi: University of Genoa
Massimo Paolucci: University of Genoa
Silvia Siri: University of Genoa

A chapter in Collaborative Logistics and Intermodality, 2021, pp 121-133 from Springer

Abstract: Abstract In this work an optimization approach for defining loading plans for trains in seaport container terminals is presented. The problem consists in defining the assignment of containers of different length, weight and value to wagon slots of a train, in order to maximize the total value loaded on the train and to minimize unproductive movements, both in the stacking area and of the crane during the loading process. Due to the difficulty in solving this problem for real scenarios, a MIP heuristic solution approach based on a randomized matheuristics is proposed. Computational results are presented and discussed, showing the effectiveness of the proposed heuristic solution method.

Keywords: Train Loading Problem; MIP heuristics (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-50958-3_7

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DOI: 10.1007/978-3-030-50958-3_7

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