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Blockchain-based ubiquitous manufacturing: a secure and reliable cyber-physical system

Author

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  • Ali Vatankhah Barenji
  • Zhi Li
  • W. M. Wang
  • George Q. Huang
  • David A. Guerra-Zubiaga

Abstract

With product customisation and emerging business opportunities, small and medium manufacturing enterprises (SMEs) must find ways to collaborate and share competency in a trustable manner to survive a turbulent market. Therefore, service industry turns to the manufacturing industry and SMEs migrate to cloud manufacturing (CM) and ubiquitous manufacturing. However, existing platforms use centralised networking, which suffers from security, scalability and big-data problems. In this paper, we propose a blockchain-based platform as a trustable network to eradicate third-party problems, which can improve the scalability, security and big-data problems for SMEs. Our proposed platform is developed based on a consortium blockchain which provides a peer-to-peer communication network between the end user and the service provider. We improve existing consensus mechanism and communication protocol based on a cyber-physical system (CPS), via an autonomous agent. Firstly, we provide a review of cloud manufacturing, ubiquitous manufacturing and blockchain-based manufacturing approaches by highlighting the main problems. Then, the proposed platform, blockchain ubiquitous manufacturing (BCUM), is explained, based on its architecture, consensus algorithm and CPS, with the help of autonomous agent communication. The proposed platform has been developed for 3D printing companies which are geographically distributed and tested based on network performance and three practical scenarios.

Suggested Citation

  • Ali Vatankhah Barenji & Zhi Li & W. M. Wang & George Q. Huang & David A. Guerra-Zubiaga, 2020. "Blockchain-based ubiquitous manufacturing: a secure and reliable cyber-physical system," International Journal of Production Research, Taylor & Francis Journals, vol. 58(7), pages 2200-2221, April.
    • Handle: RePEc:taf:tprsxx:v:58:y:2020:i:7:p:2200-2221
    DOI: 10.1080/00207543.2019.1680899
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    Citations

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    Cited by:

    1. Wang, Binni & Wang, Pong & Tu, Yiliu, 2021. "Customer satisfaction service match and service quality-based blockchain cloud manufacturing," International Journal of Production Economics, Elsevier, vol. 240(C).
    2. Amin Vafadarnikjoo & Hadi Badri Ahmadi & James J. H. Liou & Tiago Botelho & Konstantinos Chalvatzis, 2023. "Analyzing blockchain adoption barriers in manufacturing supply chains by the neutrosophic analytic hierarchy process," Annals of Operations Research, Springer, vol. 327(1), pages 129-156, August.
    3. Marie-Anne Le-Dain & Lamiae Benhayoun & Judy Matthews & Marine Liard, 2023. "Barriers and opportunities of digital servitization for SMEs: the effect of smart Product-Service System business models," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 359-393, March.
    4. Marić, Josip & Opazo-Basáez, Marco & Vlačić, Božidar & Dabić, Marina, 2023. "Innovation management of three-dimensional printing (3DP) technology: Disclosing insights from existing literature and determining future research streams," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    5. Choi, Tsan-Ming & Siqin, Tana, 2022. "Blockchain in logistics and production from Blockchain 1.0 to Blockchain 5.0: An intra-inter-organizational framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    6. Qingyu Zhang & Salman Khan & Safeer Ullah Khan & Ikram Ullah Khan, 2023. "Understanding Blockchain Technology Adoption in Operation and Supply Chain Management of Pakistan: Extending UTAUT Model With Technology Readiness, Technology Affinity and Trust," SAGE Open, , vol. 13(4), pages 21582440231, October.
    7. Archana A Mukherjee & Rajesh Kumar Singh & Ruchi Mishra & Surajit Bag, 2022. "Application of blockchain technology for sustainability development in agricultural supply chain: justification framework," Operations Management Research, Springer, vol. 15(1), pages 46-61, June.
    8. Bartsch, Devis & Winkler, Herwig, 2022. "Smart order as a new instrument for production control," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Jahn, Carlos & Blecker, Thorsten & Ringle, Christian M. (ed.), Changing Tides: The New Role of Resilience and Sustainability in Logistics and Supply Chain Management – Innovative Approaches for the Shift to a New , volume 33, pages 149-175, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    9. Leng, Jiewu & Ruan, Guolei & Jiang, Pingyu & Xu, Kailin & Liu, Qiang & Zhou, Xueliang & Liu, Chao, 2020. "Blockchain-empowered sustainable manufacturing and product lifecycle management in industry 4.0: A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    10. Francesco Mercuri & Gaetano della Corte & Federica Ricci, 2021. "Blockchain Technology and Sustainable Business Models: A Case Study of Devoleum," Sustainability, MDPI, vol. 13(10), pages 1-14, May.
    11. Zhi Li & Fuhe Liang & Henan Hu, 2023. "Blockchain-Based and Value-Driven Enterprise Data Governance: A Collaborative Framework," Sustainability, MDPI, vol. 15(11), pages 1-15, May.

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