Dynamic control of skilled and unskilled labour task assignments Le, Vu Thanh, Zhang, James, Johnstone, Michael, Nahavandi, Saeid and Creighton, Doug 2013, Dynamic control of skilled and unskilled labour task assignments, in AIM 2013 : Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, IEEE, Piscataway, N.J., pp. 955-960, doi: 10.1109/AIM.2013.6584217. Attached Files Name Description MIMEType Size Downloads Title Dynamic control of skilled and unskilled labour task assignments Author(s) Le, Vu Thanh orcid.org/0000-0003-0648-6112 Zhang, James orcid.org/0000-0002-8367-9893 Johnstone, Michael orcid.org/0000-0002-3005-8911 Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Creighton, Doug orcid.org/0000-0002-9217-1231 Conference name Advanced Intelligent Mechatronics. IEEE/ASME International Conference (2013 : Wollongong, New South Wales) Conference location Wollongong, New South Wales Conference dates 9-12 Jul. 2013 Title of proceedings AIM 2013 : Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics Editor(s) [Unknown] Publication date 2013 Conference series IEEE/ASME International Conference on Advanced Intelligent Mechatronics Start page 955 End page 960 Total pages 6 Publisher IEEE Place of publication Piscataway, N.J. Keyword(s) DES real-time labour manufacturing A-star algorithm Summary Efficient allocation of skilled and non-skilled workers allow a company to improve productivity and usually requires an understanding of personnel capability, operating conditions and resource availability. This paper examines a labour control strategy that optimises labour skill level, utilisation, task execution time and processing error. The proposed controller manages different labour groups in a multiple work cell environment, providing real-time job assignment, as well as guiding and navigation features. These features can be used to enhance the performance of existing MRP-based or Just-In-Time production systems. A discrete event simulation-based manufacturing model has been developed to assess the performance of the labour controller. Experiments conducted for the selected production scenarios have demonstrated a productivity improvement when using the proposed control. A second experiment has shown that when a skilled labour uses the labour controller to guide them through the job, their utilisation also increases. The proposed controller also has potential application in other domains, such as minimising the shopping time at a supermarket ISBN 1467353205 9781467353205 Language eng DOI 10.1109/AIM.2013.6584217 Field of Research 080110 Simulation and Modelling 091006 Manufacturing Processes and Technologies (excl Textiles) Socio Economic Objective 970109 Expanding Knowledge in Engineering HERDC Research category E1 Full written paper - refereed Copyright notice ©2013, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30057129 Document type: Conference Paper Collections: Institute for Intelligent Systems Research and Innovation (IISRI) GTP Research Related Links Link Description Connect to published version (restricted access) 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. Versions Version Filter Type Wed, 23 Oct 2013, 09:56:30 EST Wed, 23 Oct 2013, 13:37:51 EST Thu, 31 Oct 2013, 13:50:35 EST Thu, 31 Oct 2013, 14:43:28 EST Fri, 01 Nov 2013, 08:04:51 EST Wed, 02 Jul 2014, 14:17:40 EST Fri, 08 Aug 2014, 16:02:28 EST Fri, 10 Oct 2014, 09:12:24 EST Fri, 17 Oct 2014, 12:24:30 EST Wed, 21 Oct 2015, 14:51:16 EST Wed, 21 Oct 2015, 18:21:57 EST Wed, 18 Nov 2015, 07:38:35 EST Filtered Full Citation counts:   Cited 1 times in TR Web of Science Cited 2 times in Scopus Search Google Scholar Access Statistics: 639 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Wed, 23 Oct 2013, 09:56:30 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.