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.

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Title Dynamic control of skilled and unskilled labour task assignments
Author(s) Le, Vu ThanhORCID iD for Le, Vu Thanh orcid.org/0000-0003-0648-6112
Zhang, JamesORCID iD for Zhang, James orcid.org/0000-0002-8367-9893
Johnstone, MichaelORCID iD for Johnstone, Michael orcid.org/0000-0002-3005-8911
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Creighton, DougORCID iD for 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
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
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

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