Skip to main content

Holonic Condition Monitoring and Fault-Recovery System for Sustainable Manufacturing Enterprises

  • Chapter

Part of the book series: Studies in Computational Intelligence ((SCI,volume 544))

Abstract

Relatively new technologies such as sensor networks and automated identification, and increased computational power available through distributed computing offer the advantage of real-time monitoring of manufacturing resources and production orders. This work integrates the distributed manufacturing concept, largely used previously in constructs such as agent-based and holonic manufacturing systems with the new sensor network and distributed computing technologies embedded within the manufacturing system for condition monitoring and fault-recovery purposes. Failure, mode, and effects analysis method is also considered in the model. Through this integration the simulated operations of the proposed manufacturing enterprise model receive more visibility, flexibility, and agility and, ultimately, provide a sustainable enterprise model able to address in real-time the uncertainties of the manufacturing environment for the entire lifetime of the manufactured products, as well as the lifecycle of the manufacturing equipment.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD   169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Mejjaouli, S., Babiceanu, R.F.: Distributed intelligent real-time condition monitoring and recovery system for sustainable manufacturing enterprises. In: Borangiu, T. (ed.) Service Orientation in Holonic and Multi-Agent Manufacturing and Robotics, pp. 55–64. AGIR Publishing House (2013)

    Google Scholar 

  2. Pereira, C.E., Carro, L.: Distributed Real-Time Embedded Systems: Recent Advances, Future Trends and Their Impact on Manufacturing Plant Control. Annual Reviews in Control 31(1), 81–92 (2007)

    Article  Google Scholar 

  3. Stecke, K.E.: Design, Planning, Scheduling, and Control Problems of Flexible Manufacturing Systems. Annals of Operations Research 3(1-4), 3–12 (1985)

    Google Scholar 

  4. Van Brussel, H., Wyns, J., Valckenaers, P., Bongaerts, L., Peeters, P.: Reference Architecture for Holonic Manufacturing Systems: PROSA. Computers and Industry 37(3), 255–274 (1998)

    Article  Google Scholar 

  5. Babiceanu, R.F., Chen, F.F., Sturges, R.H.: Framework for the Control of Automated Material-Handling Systems Using the Holonic Manufacturing Approach. International Journal of Production Research 42(17), 3551–3564 (2004)

    Article  Google Scholar 

  6. Babiceanu, R.F., Chen, F.F.: Development and Applications of Holonic Manufacturing Systems: a Survey. Journal of Intelligent Manufacturing 17(1), 111–131 (2006)

    Article  Google Scholar 

  7. Babiceanu, R.F., Chen, F.F., Sturges, R.H.: Real-time Holonic Scheduling of Material Handling Operations in a Dynamic Manufacturing Environment. Robotics and Computer Integrated Manufacturing 21(4-5), 328–337 (2005)

    Article  Google Scholar 

  8. Zhang, X., Balasubramanian, S., Brennan, R.W., Norrie, D.H.: Design and Implementation of a Real-time Holonic Control System for Manufacturing. Information Sciences 127(1-2), 23–44 (2000)

    Article  Google Scholar 

  9. Koomsap, P., Shaikh, N.I., Prabhu, V.V.: Integrated Process Control and Condition Based Maintenance Scheduler for Distributed Manufacturing Control Systems. International Journal of Production Research 43(8), 1625–1641 (2005)

    Article  MATH  Google Scholar 

  10. Shaikh, N.I., Prabhu, V.V.: Monitoring and Prioritizing Alerts for Exception Analytics. International Journal of Production Research 47(10), 2785–2804 (2009)

    Article  MATH  Google Scholar 

  11. Enright, J., Lewis, H., Ryan, A.: FMEA as applied to electronics manufacturing: a revised approach to develop a more and robust and optimised solution. In: Proceedings of the 23rd International Conference on Flexible Automation and Intelligent Manufacturing, Porto, Portugal (2013)

    Google Scholar 

  12. Lopez, C., Subias, A., Combacau, M.: An adapted FMEA-based approach for failure diagnosis in distributed architectures. In: Proceedings of the 17th IMACS World Congress, Paris, France (2005)

    Google Scholar 

  13. Sankar, N.R., Prabhu, B.S.: Modified approach for prioritisation of failures in a system failure mode and effects analysis. International Journal of Quality and Reliability Management 18(3), 324–335 (2001)

    Article  Google Scholar 

  14. Chin, K.S., Wang, Y.M., Poon, G., Yang, J.B.: Failure mode and effects analysis using a group-based evidential reasoning approach. Computers and Operations Research 36(6), 1768–1779 (2009)

    Article  MATH  Google Scholar 

  15. Babiceanu, R.F., Tudoreanu, M.E.: Incorporation of Sensor Networks into Holonic Enterprise Systems for Life-cycle Process Monitoring. In: Johnson, A., Miller, J. (eds.) Proceedings of the 2010 Industrial Engineering Research Conference, Miami, FL (2010)

    Google Scholar 

  16. Yang, G.: Life Cycle Reliability Engineering. John Wiley & Sons, Inc., Hoboken (2007)

    Google Scholar 

  17. Pecht, M.: Product Reliability, Maintainability and Supportability Handbook, 2nd edn. Taylor & Francis Group, LLC, Boca Raton, FL (2009)

    Book  Google Scholar 

  18. Wessels, W.R.: Practical Reliability Engineering and Analysis for System Design and Life-Cycle Sustainment. Taylor & Francis Group, LLC, Boca Raton, FL (2010)

    Book  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sobhi Mejjaouli .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Mejjaouli, S., Babiceanu, R.F. (2014). Holonic Condition Monitoring and Fault-Recovery System for Sustainable Manufacturing Enterprises. In: Borangiu, T., Trentesaux, D., Thomas, A. (eds) Service Orientation in Holonic and Multi-Agent Manufacturing and Robotics. Studies in Computational Intelligence, vol 544. Springer, Cham. https://doi.org/10.1007/978-3-319-04735-5_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-04735-5_3

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-04734-8

  • Online ISBN: 978-3-319-04735-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics