Abstract
In this study, an Agent-Based Collaborative Scheduling System is represented as a model of scheduling among shops. Agent-based system describes the behaviors of distributed decision maker agents in manufacturing systems. Agents in the system are Production Planning Agent and Shop-Floor Agents. Shop-Floor Agents are semi-autonomous agents so that the degree of autonomy is determined by the Production Planning Agent. The distributed system forming heterogeneous units was designed by hybrid control architecture. The study focuses on constructing an Agent-Based Collaborative Scheduling System that is capable of conducting scheduling negotiations among shop-floor agents. The designed system is capable of scheduling by considering heterogeneous objectives of the shop-floor agents within a collaborative manufacturing environment. Negotiation is co-operative not competitive. Shop-Floor Agents generates collaboratively their schedules. The schedule for the best interest of the system as a whole is selected by the Production Planning Agent.
Keywords
- Agent-Based Production Systems
- Collaborative Scheduling
- Cooperative Decision-Making
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References
Veeramani, D., Wang, K.-J.: Performance Analysis of Auction-Based Distributed Shop-Floor Control Schemes from the Perspective of the Communication Systems. International Journal of Flexible Manufacturing Systems 9, 121–143 (1997)
O’Hare, G.M.P., Jennings, N.R. (eds.): Foundations of Distributed Artificial Intelligence. Wiley, New York (1996)
Li, J.-H., Liu, W.-J.: Development of an Agent-Based System for Collaborative Multi-Project Planning and Scheduling. In: Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, August 2005, Guangzhou (2005)
Kadar, B., Monostori, L., Szelke, E.: An Object-Oriented Framework for Developing Distributed Manufacturing Architectures. Journal of Intelligent Manufacturing 9, 173–179 (1998)
Maturana, F., Shen, W., Norrie, D.H.: MetaMorph: An Adaptive Agent-Based Architecture for Intelligent Manufacturing. International Journal of Production Research 37(10), 2159–2173 (1999)
Fox, M., Barbuceanu, M., Teigen, R.: Agent-Oriented Supply-Chain Management. The International Journal of Flexible Manufacturing Systems 12, 165–188 (2000)
Ottaway, T.A., Burns, J.R.: An Adaptive Production Control System Utilizing Agent Technology. International Journal of Production Research 38(4), 721–737 (2000)
Huang, C.-Y., Nof, S.Y.: Formation of Autonomous Agent Networks for Manufacturing Systems. International Journal of Production Research 38(3), 607–624 (2000)
Gjerdrum, J., Shah, N., Papageorgiou, L.G.: A Combined Optimization and Agent-Based Approach to Supply Chain Modeling and Performance Assessment. Production Planning & Control 12(1), 81–88 (2001)
Maione, B., Naso, D.: Evolutionary Adaptation of Dispatching Agents in Heterarchical Manufacturing Systems. International Journal of Production Research 39(7), 1481–1503 (2001)
Lu, T.-P., Yih, Y.: An Agent-Based Production Control Framework for Multiple-line Collaborative Manufacturing. International Journal of Production Research 39(10), 2155–2176 (2001)
Tang, H.P., Wong, T.N.: Reactive Multi-Agent System for Assembly Cell Control. Robotics and Computer-Integrated Manufacturing 21, 87–98 (2005)
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Sarıçiçek, İ., Yüzügüllü, N. (2007). Cooperative Decision-Making with Scheduler Agents. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2007. Lecture Notes in Computer Science, vol 4674. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74780-2_24
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DOI: https://doi.org/10.1007/978-3-540-74780-2_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74779-6
Online ISBN: 978-3-540-74780-2
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