Abstract
Nowadays de-centralized scheduling architecture with flexibility and robustness is required in manufacturing system. This paper studies the abilities of multi-agent paradigm with simple architecture and primitive algorithm to move appropriately in relation to several process machines. Efficient individual behaviour is obtained, and self-organized work flow is formulated with coordinated motions. An evolutionary mechanism is introduced into the self organized scheduling methodology and improves scheduling performance in terms of efficiency and robustness in our simulation model. The evolved work agents are capable of robustness and reliability and facilitate autonomous scheduling system.
Chapter PDF
References
Ishida, T. (1995) Discussion on Agents, Journal of Japan AI Society, Vol.10 No.5, 663–667.
Kaihara, T. and Imai, H. (1996a) A Scheduling Methodology for Large Scaled Job Shop Manufacturing Line, Journal of the University of Marketing and Distribution Sciences-Information, Economics & Management Science A Scheduling Methodology for Large Scaled Job Shop Manufacturing Line; Vol.5, No.1, 99–108.
Kaihara, T. (1996b) A Study on Multi Agent Scheduling, Journal of the University of Marketing and Distribution Sciences-Information, Economics & Management Science-; Vol.5, No.2, 113–120.
Kaihara, T. and Fujii, S.(1997), A self-organization scheduling paradigm using coordinated autonomous agents, Rapid Product Development, Chapman & Hall, London, 489-498.
Langton, C.G. (1986) Studying artificial life with cellular automata, Physica D, Vol.22, 120–149.
Shoham, Y. (1993) Agent-Oriented Programming, Artificial Intelligence., Vol.60, No.1, 51–92.
Shone, H. (1984) The Spatial Orientation of Behaviour in Animals and Man, Princeton Series in Neurobiology and Behaviour, Princeton University Press.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1998 Springer Science+Business Media New York
About this chapter
Cite this chapter
Kaihara, T., Fujii, S., Kunimasa, S. (1998). An Evolutionary Scheduling Paradigm Using Coordinated Autonomous Agents. In: Jacucci, G., Olling, G.J., Preiss, K., Wozny, M.J. (eds) Globalization of Manufacturing in the Digital Communications Era of the 21st Century. PROLAMAT 1998. IFIP - The International Federation for Information Processing, vol 4. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-35351-7_44
Download citation
DOI: https://doi.org/10.1007/978-0-387-35351-7_44
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4899-0124-8
Online ISBN: 978-0-387-35351-7
eBook Packages: Springer Book Archive