Optimization models for train load and transport planning problems

Optimization of rail transport is complex because of the industry’s multiple constraints. The transport of containers is very particular since it is characterized in addition to its specificities as a product to be loaded and transported by a strong instability of the demand. So far research in this...

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Main Authors: Dahite Lamiaa, Kadrani Abdeslam, Benmansour Rachid
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201820000010
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spelling doaj-167773f49e0845478a0151a695804fad2021-03-02T09:51:18ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-012000001010.1051/matecconf/201820000010matecconf_iwtsce2018_00010Optimization models for train load and transport planning problemsDahite Lamiaa0Kadrani Abdeslam1Benmansour Rachid2SI2M, Institut National de Statistique et d’Economie AppliquéeSI2M, Institut National de Statistique et d’Economie AppliquéeSI2M, Institut National de Statistique et d’Economie AppliquéeOptimization of rail transport is complex because of the industry’s multiple constraints. The transport of containers is very particular since it is characterized in addition to its specificities as a product to be loaded and transported by a strong instability of the demand. So far research in this area has dealt only with the separate treatment of the train load and transport problem. The present study focuses on optimizing resources facing unstable demand for the combined problem. Mathematical models are proposed to assign customers demands to wagons and for railcars allowance per axis depending on the available park, the locomotive capacity and the train length. An algorithm for the train load problem is also suggested. The models have been tested to measure their efficiency by comparing them to an existing train planning model and to manual assignment adopted in the rail industry. Some test results are finally reported to show how a novel formulation can simplify the resolution of a complex problem.https://doi.org/10.1051/matecconf/201820000010
collection DOAJ
language English
format Article
sources DOAJ
author Dahite Lamiaa
Kadrani Abdeslam
Benmansour Rachid
spellingShingle Dahite Lamiaa
Kadrani Abdeslam
Benmansour Rachid
Optimization models for train load and transport planning problems
MATEC Web of Conferences
author_facet Dahite Lamiaa
Kadrani Abdeslam
Benmansour Rachid
author_sort Dahite Lamiaa
title Optimization models for train load and transport planning problems
title_short Optimization models for train load and transport planning problems
title_full Optimization models for train load and transport planning problems
title_fullStr Optimization models for train load and transport planning problems
title_full_unstemmed Optimization models for train load and transport planning problems
title_sort optimization models for train load and transport planning problems
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2018-01-01
description Optimization of rail transport is complex because of the industry’s multiple constraints. The transport of containers is very particular since it is characterized in addition to its specificities as a product to be loaded and transported by a strong instability of the demand. So far research in this area has dealt only with the separate treatment of the train load and transport problem. The present study focuses on optimizing resources facing unstable demand for the combined problem. Mathematical models are proposed to assign customers demands to wagons and for railcars allowance per axis depending on the available park, the locomotive capacity and the train length. An algorithm for the train load problem is also suggested. The models have been tested to measure their efficiency by comparing them to an existing train planning model and to manual assignment adopted in the rail industry. Some test results are finally reported to show how a novel formulation can simplify the resolution of a complex problem.
url https://doi.org/10.1051/matecconf/201820000010
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AT kadraniabdeslam optimizationmodelsfortrainloadandtransportplanningproblems
AT benmansourrachid optimizationmodelsfortrainloadandtransportplanningproblems
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