Skip to main content

Smartness Versus Embeddability: A Tradeoff for the Deployment of Smart AGVs in Industry

  • Chapter
  • First Online:
Service Orientation in Holonic and Multi-Agent Manufacturing

Abstract

In order to deploy AGVs in industry, it is mandatory to consider the tradeoff between smartness and embeddability. This paper aims at making the manufacturing research community more sensitive about this tradeoff and its consequences. Nowadays, AGVs are widely chosen by manufacturers to implement flexible material-handling systems which are necessary to cover the industrial requirements. However, many issues, presented in this paper, must be tackled to deploy these AGVs. A tradeoff-oriented procedure is proposed by considering these issues in flexible manufacturing system applications. Then, an approach is proposed to illustrate this procedure by providing simulation and experimental results. This approach is also used to roughly describe the smartness/embeddability tradeoff.

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

Access this chapter

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

Institutional subscriptions

Notes

  1. 1.

    Available at: https://www.youtube.com/watch?v=KUY7cBRx9vI&feature=youtu.be.

References

  1. Alba, E.: Parallel Metaheuristics: A New Class of Algorithms, vol. 47. Wiley (2005)

    Google Scholar 

  2. Bader, M., Richtsfeld, A., Suchi, M., Todoran, G., Holl, W., Vincze, M.: Balancing centralised control with vehicle autonomy in AGV systems for industrial acceptance. In: 11th International Conference on Autonomic and Autonomous Systems (2015)

    Google Scholar 

  3. Berger, T., Sallez, Y., Trentesaux, D.: Open control of FMS and its application to potential field. In: 42nd Conference on Manufacturing Systems (2009)

    Google Scholar 

  4. Canny, J.: The Complexity of Robot Motion Planning. MIT Press (1988)

    Google Scholar 

  5. Defoort, M., Veluvolu, K.C.: A motion planning framework with connectivity management for multiple cooperative robots. J. Int. Robot. Syst. 75(2), 343–357 (2014)

    Article  Google Scholar 

  6. Demesure, G., Defoort, M., Bekrar, A., Trentesaux, D., Djemaï, M.: Cooperation mechanisms in multi-agent robotic systems and their use in distributed manufacturing control: issues and literature review. In: IECON 2014-40th Conference of the IEEE, pp. 2538–2543. IEEE (2014)

    Google Scholar 

  7. Demesure, G., Defoort, M., Bekrar, A., Trentesaux, D., Djemaï, M.: Navigation scheme with priority-based scheduling of agents: application to AGV-based FMS. J. Int. Robot. Syst. 1–18 (2015)

    Google Scholar 

  8. Erol, R., Sahin, C., Baykasoglu, A., Kaplanoglu, V.: A multi-agent based approach to dynamic scheduling of machines and AGVs in manufacturing systems. App. Soft Comput. 12(6), 1720–1732 (2012)

    Article  Google Scholar 

  9. Gilmour, K.: Amazon warehouse, Amazon adventure. Int. Mag. (2003)

    Google Scholar 

  10. Kuo, T.C., Huang, S.H., Zhang, H.C.: Design for manufacture and design for ‘x’: concepts, applications, and perspectives. Comput. Ind. Eng. 41(3), 241–260 (2001)

    Article  Google Scholar 

  11. Malinowski, A., Yu, H.: Comparison of embedded system design for industrial applications. IEEE Trans. Ind. Inf. 7(2), 244–254 (2011)

    Article  Google Scholar 

  12. Martínez-Barberá, H., Herrero-Pérez, D.: Autonomous navigation of an automated guided vehicle in industrial environments. Robot. Comp.-Int. Man. 26(4), 296–311 (2010)

    Google Scholar 

  13. Masehian, E., Sedighizadeh, D.: Classic and heuristic approaches in robot motion planning—a chronological review. World Acad. Sci. Eng. Technol. 23, 101–106 (2007)

    Google Scholar 

  14. Masehian, E., Sedighizadeh, D.: A multi-objective PSO-based algorithm for robot path planning. In: IEEE International Conference on Industrial Technology (ICIT), pp. 465–470. IEEE (2010)

    Google Scholar 

  15. Saska, M., Macaš, M., Přeučil, L., Lhotska, L.: Robot path planning using particle swarm optimization of ferguson splines. In: IEEE Conference on Emerging Technologies and Factory Automation, pp. 833–839. IEEE (2006)

    Google Scholar 

  16. Thyagarajan, R.: A motion control algorithm for steering an AGV in an outdoor environment. Ph.D. thesis, College of Engineering, Osmania University, India (2000)

    Google Scholar 

  17. Trentesaux, D.: Distributed control of production systems. Eng. Appl. Art. Int. 22(7), 971–978 (2009)

    Google Scholar 

  18. Trentesaux, D., Pach, C., Bekrar, A., Sallez, Y., Berger, T., Bonte, T., Leitão, P., Barbosa, J.: Benchmarking flexible job-shop scheduling and control systems. Cont. Eng. Pract. 21(9), 1204–1225 (2013)

    Google Scholar 

  19. Ueda, K.: Emergent synthesis approaches to biological manufacturing systems. In: Digital Enterprise Technology, pp. 25–34. Springer (2007)

    Google Scholar 

  20. Wurman, P.R., D’Andrea, R., Mountz, M.: Coordinating hundreds of autonomous vehicles in warehouses. AI Mag. 29(1), 9 (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Guillaume Demesure .

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

Demesure, G. et al. (2018). Smartness Versus Embeddability: A Tradeoff for the Deployment of Smart AGVs in Industry. 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_30

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-73751-5_30

  • 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