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Purpose: Today we face a demands always quickly varied market. For the machine tools manufacturers, reducing the development cycle of a product to be modified is much meaningful, and meanwhile, they have to improve (at least keep) the new machines performance. Consequently, an assistant-software has a certain degree of intelligent ability will have more advantages to improve the design quality and short design cycle simultaneously. Design/methodology/approach: The development of machine tools is a typical work of a distributed cooperative process supported by CAX. MAS (Multi-Agent system) is now the mainstream of contemporary studies on distributed intelligent software system, and can provide a foundation for the establishment of such system. Findings: In this paper, a MAS-based agile collaborative development system for MC (Machining Center) was set up using JADE (Java Agent DEvelopment framework). The whole system was divided into several functional modules that can carry out its typical mission. By taking the intelligent collaborative design module as an example, the configuration of Agents society was expatiated particularly. This module can provide intellectualized conceptual design help for MC designers. Research limitations/implications: Whereas, the other modules of this system have not been established, so in order to make it more perfect, some interfaces are left for the next expansion of other modules. Practical implications: A development process supported by this system for a customer ordered MC is taken to execute the prototype case study. According to the customer order information, three feasible proposals that have the greatest similarity are presented by the intelligent reasoning of CADDesignerAgents. By performing the parametric design and intelligent optimization, 3D dynamic MC model which is the customer satisfied is proposed and shown. Originality/value: The platform supported with those intelligent abilities has shown that it is a powerful tool on the MC family design for shorten the development cycle and improve the design quality.
Wydawca
Rocznik
Tom
Strony
518--525
Opis fizyczny
Bibliogr. 8 poz., wykr., rys.
Twórcy
autor
autor
autor
- School of Mechanical Engineering, Southeast University, Nanjing, Jiangsu, China, lifangtju@yahoo.com.cn
Bibliografia
- [1] N. R. Jennings, The archon system and its application, Proceedings of the 2nd International Working Conference on Cooperating Knowledge Based Systems, Dake Centre, University of Keele, UK (1944) 13-29.
- [2] N. Neagu, K. Dorer, D. Greenwood, et al, LS/ATN: Reporting on a successful Agent-based solution for transport logistics optimization, Proceedings of the IEEE 2006 Workshop on Distributed Intelligent Systems, Prague (2006) 213-218.
- [3] D. Greenwood, G. Vitaglione, L. Keller, et al, Service level agreement management with adaptive coordination, Proceedings of the International Conference on Networking and Service, Silicon Valley, USA, 2006.
- [4] M. Albert, T. Laengle, H. Woern, et al, Multi-Agent systems for industrial diagnostics, Proceedings of 5th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, Washington, DC (2003) 483-388.
- [5] M. J. Wooldridge, N. R. Jennings, Intelligent Agents: theory and practice, The Knowledge Engineering Review 10/2 (1995) 115-152.
- [6] J. Madejski, Agent architecture for intelligent manufacturing systems, Journal of Achievements in Materials and Manufacturing Engineering 29/2 (2008) 167-170.
- [7] Foundation for Intelligent Physical Agents (FIPA), Publicly available Agent platform implementations [EB/OL], http://www.fipa.org/resources/livesystems.html.
- [8] N. R. Jennings, M. J. Wooldridge, Applications of intelligent Agents, Agent Technology: Foundations, Applications, and Markets, Secaucus, NJ, Springer-Verlag, Berlin (1998) 3-28.
Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-article-BWAN-0004-0003