Process Control System Considering the Machines Functional Flexibilities

  • Osvaldo L. Asato
  • Guilherme M. Dobrianskyj
  • Fabrício Junqueira
  • Diolino J. Santos Filho
  • Paulo E. Miyagi
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 372)

Abstract

The evolution of tool-machines shows a trend for integration of different machining functionalities such as, milling, turning, and drilling, on a same machine. These machines are result of the mechatronics development that allows the aggregation of different functionalities into a unique machine (named multifunctional machine tool - MMT). However from the point of view of the production process there is a limitation of the conventional process control solution, i.e., when the systems are composed by MMTs, their functional flexibilities are considered only during scheduling and encapsulated at this level, and during the process execution, MMTs are viewed as traditional ones. Then, the multi-functionalities are not explored for resources allocation. Thus, a new process control approach is proposed here to dynamically allocate the resources exploring the functional flexibilities of MMTs.

Keywords

Multifunctional Machine Tools Functional flexibility Petri net Ant Colony Optimization 

References

  1. 1.
    Aronson, R.B.: Machine-tools basics part1. Manufacturing Engineering 126(3), 54–56 (2001)Google Scholar
  2. 2.
    Cangea, O.: Designing a control structure for discrete event systems described by Petri nets. In: Annals of DAAM and Proc. (2010)Google Scholar
  3. 3.
    He, L.: Research on job shop scheduling aiming at instant customerisation. In: Proc. of IEEE International Conference on Automation and Logistics (2008)Google Scholar
  4. 4.
    Li, X.: A review on integrated process planning and scheduling. Int. J. Manufacturing Research 5(2), 161–180 (2010)CrossRefGoogle Scholar
  5. 5.
    Matsusaki, C.T.M., Santos Filho, D.J.: Modeling of distributed collaborative control systems of production systems. In: ABCM Symp. Series in Mechatronics, vol. 2, pp. 345–352 (2006)Google Scholar
  6. 6.
    Moriwaki, T.: Multi-functional machine tool. CIRP Annals Manufacturing Technology 57(2), 736–749 (2008)MathSciNetCrossRefGoogle Scholar
  7. 7.
    Santos Filho, D.J., Nakamoto, F.Y., Junqueira, F., Miyagi, P.E.: Task Control of Intelligent Transportation Vehicles In Manufacturing Systems. In: Dutra, M.S., Lengerke, O. (eds.) Mechatronics Series 1: Intelligent Transportation Vehicles, vol. 1, pp. 146–169. Bentham Science Publishers, Dubai (2011)Google Scholar
  8. 8.
    Nakamoto, F.Y.: Resources allocation control in flexible manufacturing systems using the deadlock avoidance method. ABCM Series in Mechatronics, vol. 3, pp. 454–460 (2008)Google Scholar
  9. 9.
    Shin, M.: Self-evolution framework of manufacturing systems based on fractal organization. Computers & Industrial Engineering 56(3), 1029 (2009)CrossRefGoogle Scholar
  10. 10.
    Wiendalhal, H.P., et al.: Changeable manufacturing classification, design and operation. CIRP Annals Manufacturing Technology 56(2), 783–810 (2007)CrossRefGoogle Scholar
  11. 11.
    Dorigo, M., Di Caro, G.: The ant colony optimization metaheuristic. In: Corne, D., Dorigo, M., Glover, F. (eds.) New Ideas in Optimization, pp. 11–32. McGraw-Hill, New York (1999)Google Scholar
  12. 12.
    Asato, O.L., Junqueira, F., Santos Filho, D.J., Miyagi, P.E., Araujo Junior, L.O.: Control of Productive Systems with Functional Flexibility Level. In: ETFA 16th IEEE International Conference on Emerging Technologies and Factory Automation. proceedings of ETFA, pp. 1–4. IEEE, Piscataway (2011)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2012

Authors and Affiliations

  • Osvaldo L. Asato
    • 1
  • Guilherme M. Dobrianskyj
    • 1
  • Fabrício Junqueira
    • 1
  • Diolino J. Santos Filho
    • 1
  • Paulo E. Miyagi
    • 1
  1. 1.Escola Politécnica da Universidade de São PauloBrazil

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