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Truck and trailer scheduling in a real world, dynamic and heterogeneous context.

Regnier-Coudert, Olivier; McCall, John; Ayodele, Mayowa; Anderson, Steven

Authors

Olivier Regnier-Coudert

John McCall

Mayowa Ayodele

Steven Anderson



Abstract

We present a new variant of the Vehicle Routing Problem based on a real industrial scenario. This VRP is dynamic and heavily constrained and uses time-windows, a heterogeneous vehicle fleet and multiple types of job. A constructive solver is developed and tested using dynamic simulation of real-world data from a leading Scottish haulier. Our experiments establish the efficiency and reliability of the method for this problem. Additionally, a methodology for evaluating policy changes through simulation is presented, showing that our technique supports operations and management. We establish that fleet size can be reduced or more jobs handled by the company.

Journal Article Type Article
Publication Date Sep 1, 2016
Journal Transportation research, part E: logistics and transportation review
Print ISSN 1366-5545
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 93
Pages 389-408
Institution Citation REGNIER-COUDERT, O., MCCALL, J., AYODELE, M. and ANDERSON, S. 2016. Truck and trailer scheduling in a real world, dynamic and heterogeneous context. Transportation research, part E: logistics and transportation review [online], 93, pages 389-408. Available from: https://doi.org/10.1016/j.tre.2016.06.010
DOI https://doi.org/10.1016/j.tre.2016.06.010
Keywords Logistics; Decision support systems; Scheduling; Heuristics; Simulation; Transportation

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