Design of holonic manufacturing systems

• Autorzy: Van Brussel H. , Valckenaers P.
• Języki publikacji: EN

Abstrakty

EN

The introduction of CIM (Computer Integrated Manufacturing) systems in the 1980s, aiming at integrating automatic workstations into fully automated factories, was not successful. The root causes of this failure were that the subsystems to be integrated were not suitably designed for easy integration into a larger system. This situation stimulated the authors to embark on a research programme on ‘design for the unexpected’. It defined how subsystems have to be designed so that integration into larger systems becomes easier and how such an integrated system can be controlled so that it can cope with change and disturbances. In the paper, the design principles and salient features of holonic manufacturing systems (HMS) are outlined. The PROSA reference architecture, defining the basic structure of any HMS, is described. It is further explained how coordination and control of the HMS is achieved by a holonic manufacturing execution system (HMES), based on the combination of the PROSA reference architecture and a biologically inspired Delegate Multiagent System (DMAS). Finally, the power and universality of the PROSA/DMAS system is demonstrated by some case studies from manufacturing, robotics and open air engineering.

Słowa kluczowe

EN

holonic manufacturing systems; integration; control; reference architecture; virtual execution

• Wydawca: Wydawnictwo Wrocławskiej Rady FSNT NOT
• Czasopismo: Journal of Machine Engineering
• Rocznik: 2017
• Tom: Vol. 17, No. 3
• Strony: 5--23
• Opis fizyczny: Bibliogr. 12 poz., rys.

Twórcy

autor

Van Brussel H.

• Faculty of Engineering Science, KU Leuven, Belgium

autor

Valckenaers P.

• Faculty of Engineering Technology, KU Leuven, Belgium

Bibliografia

• [1] VALCKENAERS P., VAN BRUSSEL H., 2016, Design for the unexpected. From holonic manufacturing systems towards a humane mechatronics society, Elsevier.
• [2] SUH N.P., 1997, Design of systems, Annals of the CIRP, 46/1, 75-80.
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• [4] KOESTLER A., 1967, The ghost in the machine, The Macmillan Company.
• [5] SIMON H.A., 1990, The sciences of the artificial, MIT Press, Cambridge, MA.
• [6] SAINT GERMAIN B., VALCKENAERS P., VAN BRUSSEL H., VAN BELLE J., 2011, Networked manufacturing control: an industrial case, CIRP Journal of Manufacturing Science and Technology, 4/3, 324-326.
• [7] PHILIPS J., VALCKENAERS P., BRUYNINCKX H., VAN BRUSSEL H., 2012, Scalable and robust coordination of multiple mobile robots using PROSA and delegate MAS. Proc. International Symposium on Robotics (ISR), 527-532.
• [8] ALI O., VALCKENAERS P., VAN BELLE J., SAINT GERMAIN B., VERSTRAETE P., VAN OUDHEUSDEN D., 2013, Towards online planning for open-air engineering processes, Computers in Industry, 64/3, 242-251.
• [9] HADELI, VALCKENAERS P., KOLLINGBAUM M., VAN BRUSSEL H., 2004, Multiagent coordination and control using stigmergy, Comput. Ind., 53/1, 75-96.
• [10] BUSSMANN S., JENNINGS N.R., Wooldridge, M., 2004, Multi-agent systems for manufacturing control: a design methodology, In: Series on Agent Technology, Springer Verlag, Berlin, Germany.
• [11] XPRESS, Flexible production experts for reconfigurable assembly technology, FP6-NMP Project nᵒ26674, 2007-2011.
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