A robust approach for solving a vehicle routing problem with time windows with uncertain service and travel times

The main purpose of this paper is to study the vehicle routing problem with hard time windows where the main challenges is to include both sources of uncertainties, namely the travel and the service time that can arise due to multiple causes. We propose a new approach for the robust problem based on...

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Main Authors: Mehdi Nasri, Abdelmoutalib Metrane, Imad Hafidi, Anouar Jamali
Format: Article
Language:English
Published: Growing Science 2020-01-01
Series:International Journal of Industrial Engineering Computations
Subjects:
Online Access:http://www.growingscience.com/ijiec/Vol11/IJIEC_2019_22.pdf
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author Mehdi Nasri
Abdelmoutalib Metrane
Imad Hafidi
Anouar Jamali
author_facet Mehdi Nasri
Abdelmoutalib Metrane
Imad Hafidi
Anouar Jamali
author_sort Mehdi Nasri
collection DOAJ
description The main purpose of this paper is to study the vehicle routing problem with hard time windows where the main challenges is to include both sources of uncertainties, namely the travel and the service time that can arise due to multiple causes. We propose a new approach for the robust problem based on the implementation of an adaptive large neighborhood search algorithm and the use of efficient mechanisms to derive the best robust solution that responds to all uncertainties with reduced running times. The computational experiments are performed and improve the objective function of a set of instances with different levels of the uncertainty polytope to obtain the best robust solutions that protect from the violation of time windows for different scenarios.
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spelling doaj.art-c218ae22f6e749dbb1734bde15dfc90e2022-12-22T00:27:28ZengGrowing ScienceInternational Journal of Industrial Engineering Computations1923-29261923-29342020-01-0111111610.5267/j.ijiec.2019.7.002A robust approach for solving a vehicle routing problem with time windows with uncertain service and travel timesMehdi NasriAbdelmoutalib MetraneImad HafidiAnouar Jamali The main purpose of this paper is to study the vehicle routing problem with hard time windows where the main challenges is to include both sources of uncertainties, namely the travel and the service time that can arise due to multiple causes. We propose a new approach for the robust problem based on the implementation of an adaptive large neighborhood search algorithm and the use of efficient mechanisms to derive the best robust solution that responds to all uncertainties with reduced running times. The computational experiments are performed and improve the objective function of a set of instances with different levels of the uncertainty polytope to obtain the best robust solutions that protect from the violation of time windows for different scenarios.http://www.growingscience.com/ijiec/Vol11/IJIEC_2019_22.pdfRobust approachALNSUncertaintyMeasures of robustnessMonte-Carlo simulation
spellingShingle Mehdi Nasri
Abdelmoutalib Metrane
Imad Hafidi
Anouar Jamali
A robust approach for solving a vehicle routing problem with time windows with uncertain service and travel times
International Journal of Industrial Engineering Computations
Robust approach
ALNS
Uncertainty
Measures of robustness
Monte-Carlo simulation
title A robust approach for solving a vehicle routing problem with time windows with uncertain service and travel times
title_full A robust approach for solving a vehicle routing problem with time windows with uncertain service and travel times
title_fullStr A robust approach for solving a vehicle routing problem with time windows with uncertain service and travel times
title_full_unstemmed A robust approach for solving a vehicle routing problem with time windows with uncertain service and travel times
title_short A robust approach for solving a vehicle routing problem with time windows with uncertain service and travel times
title_sort robust approach for solving a vehicle routing problem with time windows with uncertain service and travel times
topic Robust approach
ALNS
Uncertainty
Measures of robustness
Monte-Carlo simulation
url http://www.growingscience.com/ijiec/Vol11/IJIEC_2019_22.pdf
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