You are not logged in.

A flow control methodology for the rapid generation of vehicle traffic models

Creighton, Douglas and Nahavandi, Saeid 2007, A flow control methodology for the rapid generation of vehicle traffic models, International journal of logistics systems and management, vol. 3, no. 4, pp. 429-439.

Attached Files
Name Description MIMEType Size Downloads

Title A flow control methodology for the rapid generation of vehicle traffic models
Author(s) Creighton, DouglasORCID iD for Creighton, Douglas orcid.org/0000-0002-9217-1231
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Journal name International journal of logistics systems and management
Volume number 3
Issue number 4
Start page 429
End page 439
Publisher Inderscience Publishers
Place of publication Olney, England
Publication date 2007
ISSN 1742-7967
1742-7975
Keyword(s) discrete event simulation
DES
traffic analysis
manufacturing
vehicle flows
flow control
industrial logistics
Summary This paper presents a conveyor-based methodology to model complex vehicle flows common to factory and distribution warehouse facilities. The AGV and human path modelling techniques available in many commercial discrete event simulation packages require extensive knowledge and time to implement even the simplest flow control rules for multiple vehicle interaction. Although discrete event simulation is accepted as an effective tool to model vehicle delivery movements, human paths and delivery schedules for modern assembly lines, the time to generate accurate models is a significant limitation of existing simulation-based optimisation methodologies. The flow control method has been successfully implemented using two commercial simulation packages. It provides a realistic visual representation, as well as accurate statistical results, and reduces the model development process cost.
Language eng
Field of Research 080110 Simulation and Modelling
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30007782

Document type: Journal Article
Collection: School of Engineering and Information Technology
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 3 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 724 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Mon, 29 Sep 2008, 08:56:03 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.