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. Attached Files Name Description MIMEType Size Downloads nahavandi-kanbandevsmodelling-2004.pdf Published version application/pdf 309.04KB 429 Title Kanban devs modelling, simulation and verification Author(s) Cave, Alex Nahavandi, Saeid orcid.org/0000-0002-0360-5270 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 Conference series Asia-Pacific Industrial Engineering and Management Systems Conference 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 Language eng Field of Research 099999 Engineering not elsewhere classified Socio Economic Objective 970109 Expanding Knowledge in Engineering HERDC Research category E1 Full written paper - refereed Copyright notice ©Reproduced with the specific permission of the copyright owner. Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30005451 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Engineering and Technology Open Access Collection Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. 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. Versions Version Filter Type Mon, 01 Dec 2008, 08:45:33 EST Wed, 20 May 2009, 09:04:19 EST Fri, 06 Jun 2014, 15:37:21 EST Mon, 09 Jun 2014, 10:01:08 EST Tue, 06 Sep 2016, 10:04:29 EST Tue, 05 Dec 2017, 06:16:05 EST Fri, 07 Sep 2018, 13:27:24 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 971 Abstract Views, 429 File Downloads  -  Detailed Statistics Created: Mon, 07 Jul 2008, 09:49:54 EST

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