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Authors: Nilson Mendes and Manuel Iori

Affiliation: Departament of Sciences and Methods of Engineering, Università degli Studi di Modena e Reggio Emilia, Reggio Emilia, Italy

ISBN: 978-989-758-423-7

Keyword(s): Decision Support System, Optimization, Vehicle Routing, Scheduling.

Abstract: Many real-world transportation problems can be modeled as variants of the well-known vehicle routing problem (VRP), where a fleet of vehicles based at a central depot is used to deliver freight to clients at a minimum cost. Frequently, the problems defined in the VRP literature and the corresponding solution algorithms do not catch all the problem features incurred by the companies in their every-day activity, and further flexibility is needed during the decision process to make adjustments on the fly. In this paper, we present a decision support system developed for an Italian pharmaceutical distribution company to deal with a Multi-Trip VRP characterized by additional constraints and Truck and Driver Scheduling. The problem is solved in the software with a two-phase algorithm: the first phase consists of an Iterated Local Search metaheuristic that defines the vehicle routes, whereas the second phase invokes a mathematical model to assign trucks and drivers to the routes. The softwar e allows, between the two phases, changes in the solution to better fit the company requirements. Computational results prove the effectiveness of the proposed method. (More)

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Paper citation in several formats:
Mendes, Nilson F. M. and Iori, M. (2020). A Decision Support System for a Multi-trip Vehicle Routing Problem with Trucks and Drivers Scheduling.In Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-423-7, pages 339-349. DOI: 10.5220/0009364403390349

@conference{iceis20,
author={Mendes, Nilson F. M. and Manuel Iori.},
title={A Decision Support System for a Multi-trip Vehicle Routing Problem with Trucks and Drivers Scheduling},
booktitle={Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2020},
pages={339-349},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009364403390349},
isbn={978-989-758-423-7},
}

TY - CONF

JO - Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - A Decision Support System for a Multi-trip Vehicle Routing Problem with Trucks and Drivers Scheduling
SN - 978-989-758-423-7
AU - Mendes, Nilson F. M.
AU - Iori, M.
PY - 2020
SP - 339
EP - 349
DO - 10.5220/0009364403390349

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