Simulation-based support tool for operator performance in batch manufacturing Nicholson, David, Gunn, Bruce and Nahavandi, Saeid 2004, Simulation-based support tool for operator performance in batch manufacturing, in Proceedings of abstracts and papers 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. 1-11. Attached Files Name Description MIMEType Size Downloads nahavandi-simulationbasedsupport-2004.pdf Published version application/pdf 794.83KB 222 Title Simulation-based support tool for operator performance in batch manufacturing Author(s) Nicholson, David Gunn, Bruce Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Conference name Asia-Pacific Industrial Engineering and Management Systems. Conference (5th : 2004 : Gold Coast, Queensland) Conference location Gold Coast, Queensland Conference dates 12-15 Dec. 2004 Title of proceedings Proceedings of abstracts and papers 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 1 End page 11 Total pages 11 Publisher Queensland University of Technology Place of publication Brisbane, Qld. Keyword(s) ergonomics & human factors simulation production management Summary In industry, the workload and utilization of shop floor operators is often misunderstood. In this paper, we will present several real case studies, using Discrete Event Simulation (DES) models, which allow us to better understand operators in a batch manufacturing environment. The first study investigates labour in a machining plant consisting of multiple identical CNC machines that batch produce parts. The second study investigates labour in an eight station, gravity die casting rotary table. The results from these studies have shown that there can be potential improvements made by the production planners in the current labour configuration. In the first case study, a matrix is produced that estimates what the operator's utilization levels will be for various configurations. From this, the preferred operator to machine ratio over a range of cycle times is presented. In the second study, the results have shown that by reducing the casting cycle time, the operator would be overloaded. A discrete event simulation of these two cases highlighted areas that were misunderstood by plant management, and provided them with a useful decision support tool for production planning. Notes Reproduced with the kind permission of the copyright owner. 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:30005450 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Engineering and Technology Open Access Collection   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 Tue, 02 Dec 2008, 14:56:36 EST Wed, 20 May 2009, 09:08:43 EST Wed, 20 May 2009, 09:10:40 EST Wed, 27 Aug 2014, 21:28:29 EST Fri, 05 Sep 2014, 13:17:09 EST Tue, 06 Sep 2016, 10:04:23 EST Tue, 05 Dec 2017, 06:16:04 EST Fri, 07 Sep 2018, 13:27:23 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 913 Abstract Views, 222 File Downloads  -  Detailed Statistics Created: Mon, 07 Jul 2008, 09:49:52 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.