Skip to main content

Empowering a Cyber-Physical System for a Modular Conveyor System with Self-organization

  • Chapter
  • First Online:

Part of the book series: Studies in Computational Intelligence ((SCI,volume 762))

Abstract

The Industry 4.0 advent, advocating the digitalization and transformation of current production systems towards the factories of future, is introducing significant social and technological challenges. Cyber-physical systems (CPS) can be used to realize these Industry 4.0 compliant systems, integrating several emergent technologies, such as Internet of Things, big data, cloud computing and multi-agent systems. The paper analyses the advantages of using biological inspiration to empower CPS, and particularly those developed using distributed and intelligent paradigms such as multi-agent systems technology. For this purpose, the self-organization capability, as one of the main drivers in this industrial revolution is analysed, and the way to translate it to solve complex industrial engineering problems is discussed. Its applicability is illustrated by building a self-organized cyber-physical conveyor system composed by different individual modular and intelligent transfer modules.

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 EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
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

References

  1. ACATECH: Cyber-physical systems: driving force for innovation in mobility, health, energy and production. Technical report, ACATECH – German National Academy of Science and Engineering, Dec 2011

    Google Scholar 

  2. Barbosa, J., Leitão, P., Adam, E., Trentesaux, D.: Dynamic self-organization in holonic multi-agent manufacturing systems: the ADACOR evolution. Comput. Ind. 66, 99–111 (2002)

    Article  Google Scholar 

  3. Bauer, H., Baur, C., Camplone, G., et. al.: Industry 4.0: how to navigate digitization of the manufacturing sector. Technical report, McKinsey Digital (2015)

    Google Scholar 

  4. Bellifemine, F., Caire, G., Greenwood, D.: Developing Multi-Agent Systems with JADE. Wiley (2007)

    Google Scholar 

  5. Bussmann, S., Schild, K.: Self-organizing manufacturing control: an industrial application of agent technology. In: Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS’00), pp. 87–94 (2000)

    Google Scholar 

  6. EFFRA: Factories of the future, multi-annual roadmap for the contractual PPP under H2020. Technical report, European Commission (2013)

    Google Scholar 

  7. ElMaraghy, H.: Flexible and reconfigurable manufacturing systems paradigms. Int. J. Flex. Manuf. Syst. 17, 261–271 (2006)

    Article  MATH  Google Scholar 

  8. Ferber, J.: Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence. Addison-Wesley (1999)

    Google Scholar 

  9. IEC—International Electrotechnical Commission: IEC 61131: Programmable controllers—Part 3: Programming Languages (2012)

    Google Scholar 

  10. IEC—International Electrotechnical Commission: IEC 61499: Function Blocks—Part 1–4 (2012)

    Google Scholar 

  11. Kagermann, H., Wahlster, W., Helbig, J.: Securing the future of German manufacturing industry: recommendations for implementing the strategic initiative INDUSTRIE 4.0. Technical report, ACATECH – German National Academy of Science and Engineering (2013)

    Google Scholar 

  12. Lee, E.A.: Cyber physical systems: design challenges. In: Proceedings of the 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC’08), pp. 363–369 (2008)

    Google Scholar 

  13. Leitão, P.: Holonic rationale and bio-inspiration on design of complex emergent and evolvable systems. In: Hameurlain, A., Küng, J., Wagner, R. (eds.) Transactions on Large Scale Data and Knowledge Centered Systems. Lecture Notes in Computer Science, vol. 5740, pp. 243–266. Springer (2009)

    Google Scholar 

  14. Leitão, P.: Agent-based distributed manufacturing control: a state-of-the-art survey. Eng. Appl. Artif. Intell. 22(7), 979–991 (2009)

    Article  Google Scholar 

  15. Leitão, P., Karnouskos, S., Colombo, A.W.: Industrial automation based on cyber-physical systems technologies: prototype implementations and challenges. Comput. Ind. 81, 11–25 (2016)

    Article  Google Scholar 

  16. Leitão, P., Restivo, F.: ADACOR: a holonic architecture for agile and adaptive manufacturing control. Comput. Ind. 57(2), 121–130 (2009)

    Article  Google Scholar 

  17. Miller, P.: The Genius of Swarms. National Geographic (2007)

    Google Scholar 

  18. Murata, T.: Petri nets: properties. IEEE Anal. Appl. 77(4), 541–580 (1989)

    Google Scholar 

  19. Valckenaers, P., Hadeli, K., Kollingbaum, M., Brussel, H., Bochmann, O.: Stigmergy in holonic manufacturing systems. J. Integr. Comput.-Aided Eng. 9(3), 281–289 (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to José Barbosa .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Barbosa, J., Leitão, P., Teixeira, J. (2018). Empowering a Cyber-Physical System for a Modular Conveyor System with Self-organization. In: Borangiu, T., Trentesaux, D., Thomas, A., Cardin, O. (eds) Service Orientation in Holonic and Multi-Agent Manufacturing. Studies in Computational Intelligence, vol 762. Springer, Cham. https://doi.org/10.1007/978-3-319-73751-5_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-73751-5_12

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73750-8

  • Online ISBN: 978-3-319-73751-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics