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Kanban devs modelling, simulation and verification

Cave, Alex and Nahavandi, Saeid 2004, Kanban devs modelling, simulation and verification, in APIEMS 2004 : Proceedings of abstracts and papers (on CD-ROM) of the 5th Asia-Pacific Industrial Engineering and Management Systems Conference & the 7th Asia-Pacific division meeting of the International Foundation of Production Research : Gold Coast, Australia, 12-15 December 2004, Queensland University of Technology, Brisbane, Qld., pp. 22.6.1-22.6.9.

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Title Kanban devs modelling, simulation and verification
Author(s) Cave, Alex
Nahavandi, Saeid
Conference name Asia-Pacific Industrial Engineering and Management Systems Conference (5th : 2004 : Gold Coast, Australia)
Conference location Gold Coast, Australia
Conference dates 12-15 December 2004
Title of proceedings APIEMS 2004 : Proceedings of abstracts and papers (on CD-ROM) of the 5th Asia-Pacific Industrial Engineering and Management Systems Conference & the 7th Asia-Pacific division meeting of the International Foundation of Production Research : Gold Coast, Australia, 12-15 December 2004
Editor(s) Kozan, Erhan
Publication date 2004
Start page 22.6.1
End page 22.6.9
Publisher Queensland University of Technology
Place of publication Brisbane, Qld.
Keyword(s) simulation
inventory theory & applications
Summary Kanban Control Systems (KCS) have become a widely accepted form of inventory and production control. The creation of realistic Discrete Events Simulation (DES) models of KCS require specification of both information and material flow. There are several commercially available simulation packages that are able to model these systems although the use of an application specific modelling language provides means for rapid model development. A new Kanban specific simulation language as well as a high-speed execution engine is verified in this paper through the simulation of a single stage single part type production line. A single stage single part KCS is modelled with exhaustive enumeration of the decision variables of container sizes and number of Kanbans. Several performance measures were used; 95% Confidence Interval (CI) of container Flow Time (FT), mean line throughput as well as the Coefficient of Variance (CV) of FT and Cycle Time were used to determine the robustness of the control system.
ISBN 0959629181
9780959629187
0959629173
9780959629170
Language eng
Field of Research 099999 Engineering not elsewhere classified
HERDC Research category E1 Full written paper - refereed
Copyright notice ©Reproduced with the specific permission of the copyright owner.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30005451

Document type: Conference Paper
Collections: School of Engineering and Technology
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