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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

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.

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

Journal Article Type Article
Acceptance Date Jun 30, 2016
Online Publication Date Jul 14, 2016
Publication Date Sep 1, 2016
Deposit Date Aug 29, 2016
Publicly Available Date Jan 15, 2018
Journal Transportation research, part E: logistics and transportation review
Print ISSN 1366-5545
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 93
Pages 389-408
DOI https://doi.org/10.1016/j.tre.2016.06.010
Keywords Logistics; Decision support systems; Scheduling; Heuristics; Simulation; Transportation
Public URL http://hdl.handle.net/10059/1598

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