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The application of a reinforcement learning agent to a multi-product manufacturing facility

Creighton, Douglas and Nahavandi, Saeid 2002, The application of a reinforcement learning agent to a multi-product manufacturing facility, in IEEE ICIT' 02 : 2002 IEEE International Conference on Industrial Technology : productivity reincarnation through robotics & automation : 11-14 December 2002, Shangri-La Hotel, Bangkok, Thailand, IEEE Xplore, Piscataway, N.J., pp. 1229-1234.

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Title The application of a reinforcement learning agent to a multi-product manufacturing facility
Author(s) Creighton, Douglas
Nahavandi, Saeid
Conference name IEEE International Conference on Industrial Technology (2002 : Bangkok, Thailand)
Conference location Bangkok, Thailand
Conference dates 11-14 December 2002
Title of proceedings IEEE ICIT' 02 : 2002 IEEE International Conference on Industrial Technology : productivity reincarnation through robotics & automation : 11-14 December 2002, Shangri-La Hotel, Bangkok, Thailand
Editor(s) Parnichkun, Manukid
Publication date 2002
Conference series IEEE International Conference on Industrial Technology
Start page 1229
End page 1234
Publisher IEEE Xplore
Place of publication Piscataway, N.J.
Keyword(s) Discrete event simulation
economic lot size problem
reinforcement learning
schedule optimisation
Summary An intelligent agent-based scheduling system, consisting of a reinforcement learning agent and a simulation model has been developed and tested on a classic scheduling problem. The production facility studied is a multiproduct serial line subject to stochastic failure. The agent goal is to minimise total production costs, through selection of job sequence and batch size. To explore state space the agent used reinforcement learning. By applying an independent inventory control policy for each product, the agent successfully identified optimal operating policies for a real production facility.
Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
ISBN 0780376579
9780780376571
Language eng
Field of Research 080110 Simulation and Modelling
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2002, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30004872

Document type: Conference Paper
Collections: School of Engineering and Technology
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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.