Skip to main content

Abstract

Industry 5.0 integrates human-centered production systems with cyber-physical systems, the Internet of Things (IoT), and machine learning technologies to create flexible, efficient, and environmentally friendly manufacturing processes. Small and medium-sized enterprises (SMEs), despite their importance in the manufacturing sector, typically need more resources and skills to implement Industry 5.0 technology. This article presents a blockchain-based supplier collaboration network to support small and medium-sized enterprises migrating to Industry 5.0. Small suppliers, manufacturers, and other supply chain stakeholders can engage securely and transparently within the proposed framework. The underlying blockchain technology allows for secure, immutable storage and real-time data sharing and collaboration. The proposed approach uses smart contracts to automate cooperation procedures and integrates blockchain with emerging technologies like IoT and machine intelligence. Moreover, the underlying method can boost SMEs businesses’ competitiveness and market access. The proposed approach will therefore be of benefit to companies that have limited resources to build their own supply chain management systems. Finally, we discuss the challenges and limitations of the proposed system for implementing a blockchain-enabled supplier collaboration network for SMEs in Industry 5.0.

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

Access this chapter

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

References

  1. Abbas, K., Afaq, M., Ahmed Khan, T., Song, W.C.: A blockchain and machine learning-based drug supply chain management and recommendation system for smart pharmaceutical industry. Electronics 9(5), 852 (2020)

    Article  Google Scholar 

  2. Abbas, K., Tawalbeh, L.A., Rafiq, A., Muthanna, A., Elgendy, I.A., Abd El-Latif, A.A.: Convergence of blockchain and IoT for secure transportation systems in smart cities. Secur. Commun. Networks 2021, 1–13 (2021)

    Article  Google Scholar 

  3. Ampel, B., Patton, M., Chen, H.: Performance modeling of hyperledger sawtooth blockchain. In: 2019 IEEE International Conference on Intelligence and Security Informatics (ISI), pp. 59–61. IEEE (2019)

    Google Scholar 

  4. Bareche, I., Xia, Y.: Selective velocity distributed indexing for continuously moving objects model. In: Wen, S., Zomaya, A., Yang, L.T. (eds.) ICA3PP 2019. LNCS, vol. 11945, pp. 339–348. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-38961-1_30

    Chapter  Google Scholar 

  5. Bareche, I., Xia, Y.: A distributed hybrid indexing for continuous KNN query processing over moving objects. ISPRS Int. J. Geo Inf. 11(4), 264 (2022)

    Article  Google Scholar 

  6. Bellavista, P., Esposito, C., Foschini, L., Giannelli, C., Mazzocca, N., Montanari, R.: Interoperable blockchains for highly-integrated supply chains in collaborative manufacturing. Sensors 21(15), 4955 (2021)

    Article  Google Scholar 

  7. Decker, C., Wattenhofer, R.: Information propagation in the bitcoin network. In: IEEE P2P 2013 Proceedings, pp. 1–10. IEEE (2013)

    Google Scholar 

  8. Feng, Q., He, D., Zeadally, S., Liang, K.: BPAS: blockchain-assisted privacy-preserving authentication system for vehicular ad-hoc networks. IEEE Trans. Industr. Inf. 16, 4146–4155 (2019)

    Article  Google Scholar 

  9. Gaur, N., Desrosiers, L., Ramakrishna, V., Novotny, P., Baset, S.A., O’Dowd, A.: Hands-On Blockchain with Hyperledger: Building Decentralized Applications with Hyperledger Fabric and Composer. Packt Publishing Ltd. (2018)

    Google Scholar 

  10. Gupta, S., Sadoghi, M.: Blockchain transaction processing (2019)

    Google Scholar 

  11. Hang, L., Kim, D.H.: Design and implementation of an integrated IoT blockchain platform for sensing data integrity. Sensors 19(10), 2228 (2019)

    Article  Google Scholar 

  12. Jasra, J., Hunjra, A.I., Rehman, A.U., Azam, R.I., Khan, M.A.: Determinants of business success of small and medium enterprises. Int. J. Bus. Soc. Sci. 2(20) (2011)

    Google Scholar 

  13. Jiang, R., et al.: A trust transitivity model of small and medium-sized manufacturing enterprises under blockchain-based supply chain finance. Int. J. Prod. Econ. 247, 108469 (2022)

    Article  Google Scholar 

  14. Karadag, H.: Financial management challenges in small and medium-sized enterprises: a strategic management approach. EMAJ Emerg. Markets J. 5(1), 26–40 (2015)

    Article  Google Scholar 

  15. Khan, P.W., Byun, Y.C., Park, N.: A data verification system for CCTV surveillance cameras using blockchain technology in smart cities. Electronics 9(3), 484 (2020)

    Article  Google Scholar 

  16. Khan, P.W., Byun, Y.C., Park, N.: IoT-blockchain enabled optimized provenance system for food industry 4.0 using advanced deep learning. Sensors 20(10), 2990 (2020)

    Article  Google Scholar 

  17. Khan, P.W., Byun, Y.: A blockchain-based secure image encryption scheme for the industrial internet of things. Entropy 22(2), 175 (2020)

    Article  MathSciNet  Google Scholar 

  18. Lanzini, F., Ubacht, J., De Greeff, J.: Blockchain adoption factors for SMES in supply chain management. J. Supply Chain Manag. Sci. 2(1–2), 47–68 (2021)

    Google Scholar 

  19. Leng, J., et al.: Secure blockchain middleware for decentralized IIoT towards industry 5.0: a review of architecture, enablers, challenges, and directions. Machines 10(10), 858 (2022)

    Article  Google Scholar 

  20. Leng, J., Sha, W., Lin, Z., Jing, J., Liu, Q., Chen, X.: Blockchained smart contract pyramid-driven multi-agent autonomous process control for resilient individualised manufacturing towards industry 5.0. Int. J. Prod. Res. 1–20 (2022)

    Google Scholar 

  21. Leng, J., et al.: Industry 5.0: Prospect and retrospect. J. Manuf. Syst. 65, 279–295 (2022)

    Article  Google Scholar 

  22. Liu, W., Liu, X., Shi, X., Hou, J., Shi, V., Dong, J.: Collaborative adoption of blockchain technology: a supply chain contract perspective. Front. Eng. Manag. 10(1), 121–142 (2023)

    Article  Google Scholar 

  23. Mittal, S., Romero, D., Wuest, T.: Towards a smart manufacturing toolkit for SMEs. In: Chiabert, P., Bouras, A., Noël, F., Ríos, J. (eds.) PLM 2018. IAICT, vol. 540, pp. 476–487. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-01614-2_44

    Chapter  Google Scholar 

  24. Nasir, Q., Qasse, I.A., Abu Talib, M., Nassif, A.B.: Performance analysis of hyperledger fabric platforms. In: Security and Communication Networks 2018 (2018)

    Google Scholar 

  25. Repsol: Repsol Technology Lab: Industry (2023). https://www.repsol.com/en/technology-and-digitalization/technology-lab/industry/index.cshtml. Accessed 06 Jun 2023

  26. Zhang, S., Zhou, E., Pi, B., Sun, J., Yamashita, K., Nomura, Y.: A solution for the risk of non-deterministic transactions in hyperledger fabric. In: 2019 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), pp. 253–261. IEEE (2019)

    Google Scholar 

Download references

Acknowledgements

This material is based upon work supported by: i) the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE) under the Advanced Manufacturing Office Award Number DE-EE0007613. Disclaimer: This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States government nor any agency thereof, nor any of its employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness; ii) the National Science Foundation under Grant No. 2119654. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Thorsten Wuest .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 IFIP International Federation for Information Processing

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Khan, P.W., Bareche, I., Wuest, T. (2023). Towards Industry 5.0: Empowering SMEs with Blockchain-Based Supplier Collaboration Network. In: Alfnes, E., Romsdal, A., Strandhagen, J.O., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures. APMS 2023. IFIP Advances in Information and Communication Technology, vol 689. Springer, Cham. https://doi.org/10.1007/978-3-031-43662-8_52

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-43662-8_52

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-43661-1

  • Online ISBN: 978-3-031-43662-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics