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A three-level knowledge-based system for the generation of live and safe Petri nets for manufacturing systems

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Abstract

New generation manufacturing systems are involved in a transformation process which aims for more reliable production processes and with a lower response time to the demand of the market. This work presents an application of artificial intelligence planning techniques for the automatic generation of the control program for a manufacturing system expressed as a safe and live Petri net. The advantage of the system presented here is straightforward: it allows for a fast generation of sound results free of human errors, reducing the cost and duration of the development phase of control programs.

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References

  • AAAI (1996) American Association for Artificial Intelligence, special interest group on manufacturing. http://sigman.cs.umn.edu/.

  • Allen, J. F., Hendler, J. and Tate, A. (1990) Readings in Planning, Morgan-Kaufmann.

  • ANSI-ISA (1995) Batch control Part 1: models and terminology (SP-88). Instrument Society of America (ISA).

  • Ausfelder, C., Castelain, E. and Gentina, J. (1994) Hierarchical modelling of flexible manufacturing systems. IEEE Transactions on Systems, Man and Cybernetics, 24, 564–573.

    Google Scholar 

  • Aylett, R., Soutter, J., Petley, G. and Chung, P. (1998) AI Planning in a chemical plant domain. In European Conference on Artificial Intelligence.

  • Castillo, L. Development and application of nonlinear planning techniques for control programming in manufacturing systems (in Spanish). PhD thesis, Universidad de Granada, Electronically available at http://decsai.ugr.es/~lcv.

  • Castillo, L., Fdez-Olivares, J. and González, A. (1998) Automatic synthesis of control sequences: a nonlinear planning approach, in Luger, G. (Ed.) AAAI Special Interest Group in Manufacturing Workshop: Artificial Intelligence and Manufacturing, State of the Art and State of the Practice, AAAI Press, pp. 47–54.

  • Castillo, L. and González, A. (1997) MACHINE: A model of action for multi-agent domains, in European Conference on Planning ECP-97.

  • Castillo, L. and González, A. (1998) A nonlinear planner for solving sequential control problems in manufacturing systems, in Coelho, H. (Ed.) Progress in Artificial Intelligence, Lecture Notes in Artificial Intelligence. Springer-Verlag.

  • Esparza, J. (1990) Synthesis rules for Petri nets, and how they lead to new results, in CONCUR'90, pp. 182–198.

  • Fabian, M., Lennartson, B., Gullander, P., Andreasson, S. and Adlemo, A. (1997) Integrating process planning and control for flexible production systems, in European Control Conference.

  • Fikes, R. E. and Nilsson, N. J. (1971) STRIPS: A new approach to the application of theorem proving to problem solving, Artificial Intelligence, 2, 189–208.

    Google Scholar 

  • Fisher, T. (1990) Batch Control Systems: Design, application and implementation. Instrument Society of America (ISA).

  • Gruver, W. A. and Boudreaux, J. C. (1993) Intelligent Manufacturing: programming environments for CIM, Springer-Verlag, London.

    Google Scholar 

  • IEC (1988) Preparation of function charts for control systems. Technical Report, IEC-60848, International Electrotechnical Commission.

  • IMS (1995) Intelligent Manufacturing Systems, an international research and development program, http://www.ims.org/.

  • Jeng, M. D. and DiCesare, F. (1990) A review of synthesis techniques for Petri nets, in Conference on Integrated Manufacturing, pp. 348–355.

  • Klein, I. (1994) Automatic systhesis of control programs for an assembly line. Technical Report: TH-ISY-R-1806, Linkoping University.

  • McAllester, D. and Rosenblitt, D. (1991) Systematic nonlinear planning, in AAAI-91, pp. 634–639.

  • Nilsson, N. J. (1980) Principles of Artificial Intelligence Tioga Publishing.

  • Peterson, J. L. (1981) Petri nets theory and the modelling of systems. Prentice-Hall.

  • PLANET (1998) European Network of Excellence in Artificial Intelligence Planning, technical coordination unit in intelligent manufacturing. http://odl.education. salford.ac.uk/dan/pims/home.html.

  • Russell, S. and Norvig, P. (1995) Artificial Intelligence: A Modern Approach. Prentice Hall.

  • Silva, M. and Valette, R. (1990) Petri nets and flexible manufacturing systems, in Rozenberg, G. (Ed.) Advances in Petri nets, Springer-Verlag, pp. 374–417.

  • Tittus, M. (1995) Control synthesis for batch processes. PhD thesis, Chalmers University of Technology.

  • Valette, R. (1995) Petri nets for control and monitoring: speci®cation, veri®cation and implementation, Technical Report 95099, Laboratoire d'Analyse et d'Architecture des Systèmes, Toulouse, France.

  • Weld, D. (1995) An introduction to least commitment planning. AI Magazine, 15(4).

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Castillo, L., Fdez-Olivares, J. & Gonza´lez, A. A three-level knowledge-based system for the generation of live and safe Petri nets for manufacturing systems. Journal of Intelligent Manufacturing 11, 559–572 (2000). https://doi.org/10.1023/A:1026504523038

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  • DOI: https://doi.org/10.1023/A:1026504523038

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