A Robust Metaheuristic for the Rail Shuttle Routing Problem with Uncertainty: A Real Case Study in the Le Havre Port

This study addresses the Rail Shuttle Routing Problem (RSRP) in the Le Havre port, where rail shuttles carry out the transfer of containers between maritime terminals and the multimodal terminal. The transfer times of shuttles and the empty travel times of locomotives both depend on several factors...

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Main Authors: Naoufal Rouky, Jaouad Boukachour, Dalila Boudebous, Ahmed El Hilali Alaoui
Format: Article
Language:English
Published: Elsevier 2018-06-01
Series:Asian Journal of Shipping and Logistics
Online Access:http://www.sciencedirect.com/science/article/pii/S2092521218300324
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spelling doaj-262ade9ba3e049809960e6b3816dbfaf2020-11-24T21:54:58ZengElsevierAsian Journal of Shipping and Logistics2092-52122018-06-01342171187A Robust Metaheuristic for the Rail Shuttle Routing Problem with Uncertainty: A Real Case Study in the Le Havre PortNaoufal Rouky0Jaouad Boukachour1Dalila Boudebous2Ahmed El Hilali Alaoui3Le Havre Normandy University, France; Corresponding author.Le Havre Normandy University, FranceLe Havre Normandy University, FranceSidi Mohamed Ben Abdallah University, MoroccoThis study addresses the Rail Shuttle Routing Problem (RSRP) in the Le Havre port, where rail shuttles carry out the transfer of containers between maritime terminals and the multimodal terminal. The transfer times of shuttles and the empty travel times of locomotives both depend on several factors and are supposedly uncertain. The aim of this work is to improve the performance of the container transfer system in the Le Havre port, by minimising the total empty travel time of locomotives and protecting against delays. The deterministic problem is first modelled as a Vehicle Routing Problem with Time Windows (VRPTW); then, uncertainties are introduced into this model and Robust Ant Colony Optimisation (RACO) is proposed to solve the problem under uncertainties. Keywords: Port Logistics, Railway Operations, Multimodal Terminal, Ant Colony Optimisation, Uncertaintyhttp://www.sciencedirect.com/science/article/pii/S2092521218300324
collection DOAJ
language English
format Article
sources DOAJ
author Naoufal Rouky
Jaouad Boukachour
Dalila Boudebous
Ahmed El Hilali Alaoui
spellingShingle Naoufal Rouky
Jaouad Boukachour
Dalila Boudebous
Ahmed El Hilali Alaoui
A Robust Metaheuristic for the Rail Shuttle Routing Problem with Uncertainty: A Real Case Study in the Le Havre Port
Asian Journal of Shipping and Logistics
author_facet Naoufal Rouky
Jaouad Boukachour
Dalila Boudebous
Ahmed El Hilali Alaoui
author_sort Naoufal Rouky
title A Robust Metaheuristic for the Rail Shuttle Routing Problem with Uncertainty: A Real Case Study in the Le Havre Port
title_short A Robust Metaheuristic for the Rail Shuttle Routing Problem with Uncertainty: A Real Case Study in the Le Havre Port
title_full A Robust Metaheuristic for the Rail Shuttle Routing Problem with Uncertainty: A Real Case Study in the Le Havre Port
title_fullStr A Robust Metaheuristic for the Rail Shuttle Routing Problem with Uncertainty: A Real Case Study in the Le Havre Port
title_full_unstemmed A Robust Metaheuristic for the Rail Shuttle Routing Problem with Uncertainty: A Real Case Study in the Le Havre Port
title_sort robust metaheuristic for the rail shuttle routing problem with uncertainty: a real case study in the le havre port
publisher Elsevier
series Asian Journal of Shipping and Logistics
issn 2092-5212
publishDate 2018-06-01
description This study addresses the Rail Shuttle Routing Problem (RSRP) in the Le Havre port, where rail shuttles carry out the transfer of containers between maritime terminals and the multimodal terminal. The transfer times of shuttles and the empty travel times of locomotives both depend on several factors and are supposedly uncertain. The aim of this work is to improve the performance of the container transfer system in the Le Havre port, by minimising the total empty travel time of locomotives and protecting against delays. The deterministic problem is first modelled as a Vehicle Routing Problem with Time Windows (VRPTW); then, uncertainties are introduced into this model and Robust Ant Colony Optimisation (RACO) is proposed to solve the problem under uncertainties. Keywords: Port Logistics, Railway Operations, Multimodal Terminal, Ant Colony Optimisation, Uncertainty
url http://www.sciencedirect.com/science/article/pii/S2092521218300324
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