Abstract
In this paper, we extend the Product-Resource-Order-Staff-Architecture (PROSA) for holonic manufacturing systems towards ensuring adaptive behavior of agent-based manufacturing control systems. PROSA suggests the usage of decision-making and staff agents. Staff agents support the decision-making agents. We introduce adaptive staff agents. Adaptive staff agents make sure that the parameters of production control algorithms are adjusted properly in a situation-dependent manner. We describe the architecture of adaptive staff agents and their interaction with the other agents of the manufacturing control system. We present an example for using adaptive staff agents in the semiconductor manufacturing domain.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Brauer, W., Weiß, G.: Multi-machine Scheduling - A Multi-Agent Learning Approach. In: Proceedings of the Third International Conference on Multi-Agent Systems (ICMAS), pp. 42–48. IEEE Computer Society Press, Los Alamitos (1998)
Csaji, B.C., Kadar, B., Monostori, L.: Improving Multi-Agent Based Scheduling by Neurodynamic Programming. In: Mařík, V., McFarlane, D.C., Valckenaers, P. (eds.) HoloMAS 2003. LNCS (LNAI), vol. 2744, pp. 110–123. Springer, Heidelberg (2003)
Fowler, J.W., Feigin, G., Leachman, R.: Semiconductor Manufacturing Testbed: Data Sets (1995)
Geiger, C.D., Uzsoy, R., Aytuk, H.: Rapid Modeling and Discovery of Priority Dispatching Rules: An Autonomous Learning Approach. Journal of Scheduling 9(1), 7–34 (2006)
Maione, B., Naso, D.: Evolutionary Adaptation of Dispatching Agents in Heterarchical Manufacturing Systems. International Journal of Production Research 39(7), 1481–1503 (2001)
Mönch, L., Stehli, M.: ManufAG: a Multi-Agent-System Framework for Production Control of Complex Manufacturing Systems. Information Systems and e-Business Management 4(2), 159–185 (2006)
Mönch, L., Stehli, M.: An Ontology for Production Control of Semiconductor Manufacturing Processes. In: Schillo, M., Klusch, M., Müller, J., Tianfield, H. (eds.) Proceedings First German Conference on Multiagent System Technologies (MATES). LNCS (LNAI), vol. 2831, pp. 156–167. Springer, Heidelberg (2003)
Mönch, L., Stehli, M., Zimmermann, J.: FABMAS - an Agent Based System for Semiconductor Manufacturing Processes. In: Mařík, V., McFarlane, D.C., Valckenaers, P. (eds.) HoloMAS 2003. LNCS (LNAI), vol. 2744, pp. 258–267. Springer, Heidelberg (2003)
Mönch, L., Stehli, M., Zimmermann, J., Habenicht, I.: The FABMAS Multi-Agent-System Prototype for Production Control of Waferfabs. Design, Implementation, and Performance Assessment. Production Planning & Control 17(7), 701–716 (2006)
Monostori, L.: AI and Machine Learning Techniques for Managing Complexity, Changes and Uncertainties in Manufacturing. Engineering Applications of Artificial Intelligence 16(4), 277–291 (2003)
Odell, J., Parunak, H.V.D., Fleischer, M.: Modeling Agent Organizations Using Roles. Software and Systems Modeling 2, 76–81 (2003)
Pinedo, M.: Scheduling Theory, Algorithms, and Systems. Prentice Hall, New Jersey (2002)
Piramuthu, S., Raman, N., Shaw, M.J., Park, S.H.: Integration of Simulation Modelling and Inductive Learning in an Adaptive Decision Support System. Decision Support Systems 9, 127–142 (1993)
Schömig, A., Fowler, J.W.: Modeling Semiconductor Manufacturing Operations. In: Proceedings of the 9th ASIM Dedicated Conference Simulation in Production and Logistics, pp. 55–64 (2000)
Utgoff, P.E.: Decision Trees. The MIT Encyclopedia of Cognitive Sciences, Bradford (1998)
Van Brussel, H., Wyns, J., Valckenaers, P., Bongaerts, L., Peeters, P.: Reference Architecture for Holonic Manufacturing Systems: PROSA. Computers in Industry 37(3), 225–276 (1998)
Weiß, G. (ed.): Adaption and Learning in Multi-Agent Systems. LNCS (LNAI), vol. 1042. Springer, Heidelberg (1996)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zimmermann, J., Mönch, L. (2007). Design and Implementation of Adaptive Agents for Complex Manufacturing Systems. In: Mařík, V., Vyatkin, V., Colombo, A.W. (eds) Holonic and Multi-Agent Systems for Manufacturing. HoloMAS 2007. Lecture Notes in Computer Science(), vol 4659. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74481-8_26
Download citation
DOI: https://doi.org/10.1007/978-3-540-74481-8_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74478-8
Online ISBN: 978-3-540-74481-8
eBook Packages: Computer ScienceComputer Science (R0)