Abstract
The paper presents a model of mass-customisation in manufacturing based on designing and deploying intelligent software agents. We illustrate how this mass-customisation would work in a novel scenario — making a perfect ‘Gin and Tonic’. We also discuss some of the benefits this balanced approach can offer businesses in terms of pragmatic holonic software engineering within complex environments and a formal representation of holon operations to academia.
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Keywords
- Supply Chain
- Autonomous Agent
- Drinking Station
- Intelligent Manufacture System
- Holonic Manufacturing System
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6. References
S. Davis, Future Perfect, 10 th anniversary edition, Addison-Wesley, ISBN 020159045X, 1996.
M. d’Inverno and M. Luck, Understanding Agent Systems, Springer, 2001.
HMS Project, http://hms.ifw.uni-hannover.de/public/overview.html, 2003.
A. Koestler, The Ghost in the Machine, Arkana, 1967.
M. Luck and M. d’Inverno, Unifying Agent Systems, Annals of Mathematics and Artificial Intelligence, 37(1–2), 2003.
V. Mařik, M. Fletcher and M. Pěchouček, Holons and Agents: Recent Developments and Mutual Impacts, in Multi-Agent Systems and Applications II, Springer, 2002.
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© 2005 International Federation for Information Processing
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Fletcher, M., Pěchouček, M. (2005). Making a Perfect ‘Gin and Tonic’: Mass-Customisation Using Holons. In: Camarinha-Matos, L.M. (eds) Emerging Solutions for Future Manufacturing Systems. BASYS 2004. IFIP International Federation for Information Processing, vol 159. Springer, Boston, MA. https://doi.org/10.1007/0-387-22829-2_3
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DOI: https://doi.org/10.1007/0-387-22829-2_3
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-22828-0
Online ISBN: 978-0-387-22829-7
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