Transport hub flow modelling

Wilfried Despagne () and Emmanuel Frenod ()
Additional contact information
Wilfried Despagne: LMBA - Laboratoire de Mathématiques de Bretagne Atlantique - UBS - Université de Bretagne Sud - UBO - Université de Brest - CNRS - Centre National de la Recherche Scientifique
Emmanuel Frenod: CALVI - Scientific computation and visualization - IRMA - Institut de Recherche Mathématique Avancée - UNISTRA - Université de Strasbourg - CNRS - Centre National de la Recherche Scientifique - LSIIT - Laboratoire des Sciences de l'Image, de l'Informatique et de la Télédétection - UNISTRA - Université de Strasbourg - CNRS - Centre National de la Recherche Scientifique - Centre Inria de l'Université de Lorraine - Inria - Institut National de Recherche en Informatique et en Automatique - IECL - Institut Élie Cartan de Lorraine - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique, LMBA - Laboratoire de Mathématiques de Bretagne Atlantique - UBS - Université de Bretagne Sud - UBO - Université de Brest - CNRS - Centre National de la Recherche Scientifique

Working Papers from HAL

Abstract: Purpose: The purpose of this paper is to investigate the road freight haulage activity. Using the physical and data flow information from a freight forwarder, we intend to model the flow of inbound and outbound goods in a freight transport hub. Approach: This paper presents the operation of a road haulage group. To deliver goods within two days to any location in France, a haulage contractor needs to be part of a network. This network handles the processing of both physical goods and data. We will also explore the ways in which goods and data flows are connected. We then build a first model based on Ordinary Differential Equations which decrypt the flow of goods inside the hub and which is consistent with available data. This first model is designed to work at a fine-scale level. A second model which aggregates factors of the fine scale one is also built and a way to couple hub models to build a hub network is depicted. Tests are carried out to show the accuracy of the models. Finally, an explanation on how to use the models for industrial process optimizing is given.

Keywords: Mathematical Modelling; Ordinary Differential Equations; Haulage Activity; Hub; Express; Supply Chain Modelling (search for similar items in EconPapers)
Date: 2014-03-30
Note: View the original document on HAL open archive server: https://hal.science/hal-00522938v2
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://hal.science/hal-00522938v2/document (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:wpaper:hal-00522938

Access Statistics for this paper

More papers in Working Papers from HAL
Bibliographic data for series maintained by CCSD ().