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Discrete event simulation enabled high level emulation of a distribution centre

Zhang, James, Le, Vu, Johnston, Michael, Nahavandi, Saeid and Creighton, Doug 2012, Discrete event simulation enabled high level emulation of a distribution centre, in UKSim 2012 : Proceedings of the 14th International Conference on Computer Modelling and Simulation, IEEE Computer Society, Los Alamitos, Calif., pp. 470-475.

Document type: Conference Paper
Collection: Centre for Intelligent Systems Research
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Title Discrete event simulation enabled high level emulation of a distribution centre
Author(s) Zhang, James
Le, Vu
Johnston, Michael
Nahavandi, Saeid
Creighton, Doug
Conference name Computing modelling and simulation. Conference (14th : 2012 : Cambridge, England)
Conference location Cambridge, England
Conference dates 28-30 Mar. 2012
Title of proceedings UKSim 2012 : Proceedings of the 14th International Conference on Computer Modelling and Simulation
Editor(s) [Unknown]
Publication date 2012
Conference series Computing modelling and simulation. Conference
Start page 470
End page 475
Total pages 6
Publisher IEEE Computer Society
Place of publication Los Alamitos, Calif.
Keyword(s) discrete event simulation
distribution centre
emulation
warehouse modelling
Summary Emulation facilitates the testing of control systems through the use of a simulation model. Typically emulation has focused on low level control, to ensure that resources within a system are commissioned correctly. Higher level control that deals with complex issues such as throughput, in-system time and stacking, has not received as much attention. In this paper, a higher level agent-based emulation framework was proposed. Then an emulation model for a distribution centre is described that can test distribution centre level algorithms directly. This methodology also allows playback of real world operations, making it an ideal tool to analyse problems with performance of commissioned systems.
ISBN 9781467313667
9780769546827
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2012, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30049234
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