Skip to main content
Springer Nature Link
Log in

Towards a Framework for Intelligent Cyber-Physical System (iCPS) Design

  • Conference paper
  • First Online:
Perspectives in Business Informatics Research (BIR 2023)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 493))

Included in the following conference series:

  • 593 Accesses

Abstract

Cyber-Physical Systems (CPS) are considered as an important tool in Industry 4.0. They provide companies with advantages and benefits by enabling the interconnection of machines and physical devices to digital systems, allowing a real-time data-driven decision-making process. However, for the CPS to be able to support decision-making within the production process of manufacturing companies, a set of technological components need to be implemented and integrated. This paper aims to identify those components by conducting an academic literature review that also allows to understand the use of intelligent CPS in the industry. From the identification of the components, a model for an CPS architecture is proposed. The aim of the model is helping companies be prepared and informed about the layers and components that need to be considered when adopting and implementing a CPS.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Mourtzis, D., Vlachou, E.: A cloud-based cyber-physical system for adaptive shop-floor scheduling and condition-based maintenance. J. Manuf. Syst. 47, 179–198 (2018). https://doi.org/10.1016/j.jmsy.2018.05.008

    Article  Google Scholar 

  2. Villalonga, A., et al.: A decision-making framework for dynamic scheduling of cyber-physical production systems based on digital twins. Annu. Rev. Control 51, 357–373 (2021). https://doi.org/10.1016/j.arcontrol.2021.04.008

    Article  Google Scholar 

  3. Doltsinis, S., Ferreira, P., Mabkhot, M.M., Lohse, N.: A Decision Support System for rapid ramp-up of industry 4.0 enabled production systems. Comput. Ind. 116 (2020). https://doi.org/10.1016/j.compind.2020.103190

  4. Attajer, A., Darmoul, S., Chaabane, S., Sallez, Y., Riane, F.: An analytic hierarchy process augmented with expert rules for product driven control in cyber-physical manufacturing systems. Comput. Ind. 143 (2022). https://doi.org/10.1016/j.compind.2022.103742

  5. Cimini, C., Pirola, F., Pinto, R., Cavalieri, S.: A human-in-the-loop manufacturing control architecture for the next generation of production systems. J. Manuf. Syst. 54, 258–271 (2020). https://doi.org/10.1016/j.jmsy.2020.01.002

    Article  Google Scholar 

  6. Zhou, T., Tang, D., Zhu, H., Zhang, Z.: Multi-agent reinforcement learning for online scheduling in smart factories. Robot Comput. Integr. Manuf. 72 (2021). https://doi.org/10.1016/j.rcim.2021.102202

  7. Waris, M.M., Sanin, C., Szczerbicki, E.: Smart innovation engineering: toward intelligent industries of the future. Cybern. Syst. 49(5–6), 339–354 (2018). https://doi.org/10.1080/01969722.2017.1418708

    Article  Google Scholar 

  8. Leng, J., Jiang, P., Liu, C., Wang, C.: Contextual self-organizing of manufacturing process for mass individualization: a cyber-physical-social system approach. Enterp. Inf. Syst. 14(8), 1124–1149 (2020). https://doi.org/10.1080/17517575.2018.1470259

    Article  Google Scholar 

  9. Pilar Lambán, M., Morella, P., Royo, J., Carlos Sánchez, J.: Using industry 4.0 to face the challenges of predictive maintenance: a key performance indicators development in a cyber physical system. Comput. Ind. Eng. 171 (2022). https://doi.org/10.1016/j.cie.2022.108400

  10. Upasani, K., Bakshi, M., Pandhare, V., Lad, B.K.: Distributed maintenance planning in manufacturing industries. Comput. Ind. Eng. 108, 1–14 (2017). https://doi.org/10.1016/j.cie.2017.03.027

    Article  Google Scholar 

  11. Rossit, D.A., Tohmé, F., Frutos, M.: Production planning and scheduling in cyber-physical production systems: a review. Int. J. Comput. Integr. Manuf. 32(4–5), 385–395 (2019). https://doi.org/10.1080/0951192X.2019.1605199

    Article  Google Scholar 

  12. Kim, J., Lee, J.Y.: Server-Edge dualized closed-loop data analytics system for cyber-physical system application. Robot Comput. Integr. Manuf. 67 (2021). https://doi.org/10.1016/j.rcim.2020.102040

  13. Ansari, F., Glawar, R., Nemeth, T.: PriMa: a prescriptive maintenance model for cyber-physical production systems. Int. J. Comput. Integr. Manuf. 32(4–5), 482–503 (2019). https://doi.org/10.1080/0951192X.2019.1571236.A

  14. Fantini, P., Pinzone, M., Taisch, M.: Placing the operator at the centre of Industry 4.0 design: modelling and assessing human activities within cyber-physical systems.Comput. Ind. Eng. 139 (2020). https://doi.org/10.1016/j.cie.2018.01.025

  15. Nounou, A., Jaber, H., Aydin, R.: A cyber-physical system architecture based on lean principles for managing industry 4.0 setups. Int. J. Comput. Integr. Manuf. 35(8), 890–908 (2022). https://doi.org/10.1080/0951192X.2022.2027016.C

  16. Sanin, C., Haoxi, Z., Shafiq, I., Waris, M.M., Silva de Oliveira, C., Szczerbicki, E.: Experience based knowledge representation for internet of things and cyber physical systems with case studies. Futur. Gener. Comput. Syst. 92, 604–616 (2019). https://doi.org/10.1016/j.future.2018.01.062

    Article  Google Scholar 

  17. Ahmed, F., Jannat, N.E., Schmidt, D., Kim, K.Y.: Data-driven cyber-physical system framework for connected resistance spot welding weldability certification. Robot Comput. Integr. Manuf. 67 (2021). https://doi.org/10.1016/j.rcim.2020.102036

  18. Stadnicka, D., Bonci, A., Pirani, M., Longhi, S.: Information management and decision making supported by an intelligence system in kitchen fronts control process. In: Advances in Intelligent Systems and Computing, pp. 249–259. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-64465-3_25

  19. Liu, M., Li, X., Li, J., Liu, Y., Zhou, B., Bao, J.: A knowledge graph-based data representation approach for IIoT-enabled cognitive manufacturing. In: Advanced Engineering Informatics, vol. 51, January 2022. https://doi.org/10.1016/j.aei.2021.101515

  20. Bin Islam, S.O., Lughmani, W.A., Qureshi, W.S., Khalid, A.: A connective framework to minimize the anxiety of collaborative cyber-physical system. Int. J. Comput. Integr. Manuf. (2023). https://doi.org/10.1080/0951192X.2022.2163294

  21. Yaqot, M., Franzoi, R.E., Islam, A., Menezes, B.C.: Cyber-physical system demonstration of an automated shuttle-conveyor-belt operation for inventory control of multiple stockpiles: a proof of concept. IEEE Access 10, 127636–127653 (2022). https://doi.org/10.1109/ACCESS.2022.3226942

    Article  Google Scholar 

  22. Lee, J., Bagheri, B., Kao, H.A.: A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manuf. Lett. 3, 18–23 (2015). https://doi.org/10.1016/j.mfglet.2014.12.001

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Universidad de Los Andes, Cra 1 Nº 18A-12, Bogota, Colombia

    Sofía Abadía & Oscar Avila

  2. ICube INSA Strasbourg, 24 Boulevard de la Victoire, Strasbourg, France

    Sofía Abadía & Virginie Goepp

Authors
  1. Sofía Abadía
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Oscar Avila
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Virginie Goepp
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sofía Abadía .

Editor information

Editors and Affiliations

  1. FHNW, Olten, Switzerland

    Knut Hinkelmann

  2. University of Zaragoza, Zaragoza, Spain

    Francisco J. López-Pellicer

  3. University of Camerino, Camerino, Italy

    Andrea Polini

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Abadía, S., Avila, O., Goepp, V. (2023). Towards a Framework for Intelligent Cyber-Physical System (iCPS) Design. In: Hinkelmann, K., López-Pellicer, F.J., Polini, A. (eds) Perspectives in Business Informatics Research. BIR 2023. Lecture Notes in Business Information Processing, vol 493. Springer, Cham. https://doi.org/10.1007/978-3-031-43126-5_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-43126-5_19

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-43125-8

  • Online ISBN: 978-3-031-43126-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics