Industry 4.0 Multi-agent System Based Knowledge Representation Through Blockchain

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 806)


In a world where technology evolves at an exponential rate and society tends to be ever more connected with technological tools, consumers tend to have a more well-built opinion on product manufacturing and personalization. This associated with the introduction of Internet of Things powered devices into everyday lives, creates a demand for an evolution in industry, moving it into its fourth industrial revolution. This revolution, often called industry 4.0 is the next big change in industry and in the whole manufacturing process. At the same time, blockchain tends to be a powerful technology, that coupled with the concept of industry 4.0, can create endless possibilities for companies to share value and knowledge, in a decentralized environment, giving them advantage in a competitive world. In this paper, an overview of blockchain will be presented, as well a presentation of existing blockchain-based models. It is also introduced our approach to mitigate the problem of dependencies between companies, using a multi-agent system.


Multi-agent system Blockchain Industry 4.0 


  1. 1.
    Abeyratne, S.A., Monfared, R.P.: Blockchain ready manufacturing supply chain using distributed ledger. Int. J. Res. Eng. Technol. 05(09), 1–10 (2016). Scholar
  2. 2.
    Bahga, A., Madisetti, V.K.: Blockchain platform for industrial internet of things. J. Softw. Eng. Appl. 9, 533–546 (2016). Scholar
  3. 3.
    Deloitte: Industry 4.0. Challenges and solutions for the digital transformation and use of exponential technologies, pp. 1–30. Deloitte (2015)Google Scholar
  4. 4.
    Glavic, M.: Agents and multi-agent systems: a short introduction for power engineers, pp. 1–21 (2006)Google Scholar
  5. 5.
    Hovland, G., Kucera, J.: Nonlinear feedback control and stability analysis of a proof-of-work blockchain. Model. Identif. Control. Nor. Res. Bull. 38(4), 157–168 (2017). Scholar
  6. 6.
    Kang, H.S., Lee, J.Y., Choi, S., Kim, H., Park, J.H., Son, J.Y., Kim, B.H., Noh, S.D.: Smart manufacturing: past research, present findings, and future directions. Int. J. Precis. Eng. Manuf. Green Technol. 3(1), 111–128 (2016). Scholar
  7. 7.
    Lu, Q., Xu, X.: Adaptable blockchain-based systems: a case study for product traceability. IEEE Softw. 34(6), 21–27 (2017). Scholar
  8. 8.
    Marreiros, G., Santos, R., Ramos, C., Neves, J.: Context-aware emotion-based model for group decision making. IEEE Intell. Syst. Mag. 25(2), 31–39 (2010)CrossRefGoogle Scholar
  9. 9.
    Oprea, M.: Applications of Multi-agent Systems.
  10. 10.
    Pilkington, M.: blockchain technology: principles and applications. In: Research Handbook on Digital Transformations, pp. 1–39 (2015).
  11. 11.
    Qin, J., Liu, Y., Grosvenor, R.: A categorical framework of manufacturing for industry 4.0 and beyond. Procedia CIRP 52, 173–178 (2016). Scholar
  12. 12.
    Rabah, K.: Overview of blockchain as the engine of the 4th industrial revolution. Mara Res. J. Bus. Manag. 1(1), 125–135 (2016). The Africa Premier Research Publishing Hub www.mrjournals.orgGoogle Scholar
  13. 13.
    Santos, R., Marreiros, G., Ramos, C., Bulas-Cruz, J.: Argumentative agents for ambient intelligence ubiquitous environments. In: Proceedings of Artificial Intelligence Techniques for Ambient Intelligence, ECAI 2008 – 18th European Conference on Artificial Intelligence (2008)Google Scholar
  14. 14.
    Wang, S., Wan, J., Li, D., Zhang, C.: Implementing smart factory of industrie 4.0: an outlook. Int. J. Distrib. Sens. Netw. 12(1), 3159805 (2016). Scholar
  15. 15.
    Wright, A., De Filippi, P.: Decentralized Blockchain Technology and the Rise of Lex Cryptographia. SSRN Electron. J. (2015) .
  16. 16.
    Xiong, Z., Zhang, Y., Niyato, D., Wang, P., Han, Z.: When mobile blockchain meets edge computing: challenges and applications, pp. 1–17 (2017).
  17. 17.
    Zhang, F., Liu, M., Shen, W.: Operation modes of smart factory for high-end equipment manufacturing in the internet and big data era. Smc2017.Org (2017).

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.ESTG.IPP, School of Management and TechnologyInstitute Polytechnic of PortoPortoPortugal
  2. 2.CIICESI, Center for Research and Innovation in Business Sciences and Information SystemsFelgueiras, PortoPortugal

Personalised recommendations