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Dynamic control of skilled and unskilled labour task assignments

conference contribution
posted on 2013-01-01, 00:00 authored by Vu LeVu Le, James ZhangJames Zhang, Michael JohnstoneMichael Johnstone, Saeid Nahavandi, Douglas CreightonDouglas Creighton
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

History

Event

Advanced Intelligent Mechatronics. IEEE/ASME International Conference (2013 : Wollongong, New South Wales)

Pagination

955 - 960

Publisher

IEEE

Location

Wollongong, New South Wales

Place of publication

Piscataway, N.J.

Start date

2013-07-09

End date

2013-07-12

ISBN-13

9781467353205

ISBN-10

1467353205

Language

eng

Publication classification

E1 Full written paper - refereed

Copyright notice

2013, IEEE

Title of proceedings

AIM 2013 : Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics

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