Abstract
Industry 4.0 involves major changes in manufacturing process management. Both the Internet of Things and cloud computing allow online interactions between third parties, such as providers, customers and suppliers, with the traceability system of a factory. Several blockchain-based approaches have been proposed to increase confidence in traceability data and reinforce trust. However, the transparency brought may be at the cost of risks to factory’s confidential data exposure. This paper investigates the way these critical data, which are necessary to post-assembly audit, could be included into traceability data, and validated through the related transactions by the third parties, without compromising their confidentiality. Accordingly, this proposal includes the description of a blockchain-based traceability system and its implementation using the Multichain platform. In addition to its confidentiality-preserving feature, we discuss the way energy consumption and storage volume induced could be managed so as to favor its effective adoption by manufacturing factories.
Similar content being viewed by others
References
Bougdira A, Ismail A, Ahaitouf A (2020) A traceability proposal for Industry 4.0. Journal of Ambient Intelligence and Humanized Computing 11
Olsen P, Borit M (2018) The components of a food traceability system. Trends Food Sci Technol 77:143–149. https://doi.org/10.1016/j.tifs.2018.05.004
Zhong RY, Xu X, Wang L (2017) IoT-enabled smart factory visibility and traceability using laser-scanners. Procedia Manufacturing 10:1–14. https://doi.org/10.1016/j.promfg.2017.07.103. 45th SME North American Manufacturing Research Conference, NAMRC 45, LA, USA
Cohin O, Sondi P (2015) Internet of Things for smart factory. IEEE COMSOC MMTC E-Letter 10
Razak GM, Hendry LC, Stevenson M (2021) Supply chain traceability: a review of the benefits and its relationship with supply chain resilience. Production Planning & Control
Syed NF, Shah SW, Trujillo-Rasua R, Doss R (2022) Traceability in supply chains: a cyber security analysis. Computers & Security 112:102536. https://doi.org/10.1016/j.cose.2021.102536
Bettín-Díaz R, Rojas AE, Mejía-Moncayo C. (2018) Methodological approach to the definition of a blockchain system for the food industry supply chain traceability. In: Gervasi O, Murgante B, Misra S, Stankova E, Torre CM, Rocha AMAC, Taniar D, Apduhan BO, Tarantino E, Ryu Y (eds) Computational science and its applications – ICCSA 2018. Springer, pp 19–33
Barata J, da Cunha P, Gonnagar A, Mendes M (2017) A systematic approach to design product traceability in Industry 4.0: insights from the ceramic industry. In: Paspallis N, Raspopoulos M, Barry C, 0001 ML, Linger H, Schneider C (eds) Information systems development: advances in methods, tools and management - Proceedings of the 26th International Conference on Information Systems Development, ISD 2017, Larnaca, Cyprus, University of Central Lancashire Cyprus, September 6-8, 2017. ISD. Citations: dblp
Panetto H, Dassisti M, Tursi A (2012) Onto-pdm: product-driven ontology for product data management interoperability within manufacturing process environment. Adv Eng Inform 26(2):334–348. https://doi.org/10.1016/j.aei.2011.12.002. Knowledge based engineering to support complex product design
Niu X, Wang M, Qin S (2022) Product design lifecycle information model (pdlim). Int J Adv Manuf Technol 118:2311–2337. https://doi.org/10.1007/s00170-021-07945-z
Hasan HR, Salah K, Jayaraman R, Ahmad RW, Yaqoob I, Omar M (2020) Blockchain-based solution for the traceability of spare parts in manufacturing. IEEE Access 8:100308–100322. https://doi.org/10.1109/ACCESS.2020.2998159
Alkhader W, Alkaabi N, Salah K, Jayaraman R, Arshad J, Omar M (2020) Blockchain-based traceability and management for additive manufacturing. IEEE Access 8:188363–188377. https://doi.org/10.1109/ACCESS.2020.3031536
Leng J, Ruan G, Jiang P, Xu K, Liu Q, Zhou X, Liu C (2020) Blockchain-empowered sustainable manufacturing and product lifecycle management in Industry 4.0: a survey. Renew Sustain Energy Rev 132:110112. https://doi.org/10.1016/j.rser.2020.110112
Tönnissen S, Teuteberg F (2020) Analysing the impact of blockchain-technology for operations and supply chain management: an explanatory model drawn from multiple case studies. Int J Inf Manag 52:101953
Hader M, Tchoffa D, Mhamedi AE, Ghodous P, Dolgui A, Abouabdellah A (2022) Applying integrated blockchain and big data technologies to improve supply chain traceability and information sharing in the textile sector. J Ind Inf Integr 28:100345. https://doi.org/10.1016/j.jii.2022.100345
Xu X, Tatge L, Xu X, Liu Y (2022) Blockchain applications in the supply chain management in German automotive industry. Production Planning & Control 0(0):1–15. https://doi.org/10.1080/09537287.2022.2044073
Chen S, Cai X, Wang X, et al. (2022) Blockchain applications in plm towards smart manufacturing. Int J Adv Manuf Technol 118:2669–2683. https://doi.org/10.1007/s00170-021-07802-z
Mullet V, Sondi P, Ramat E (2021) A review of cybersecurity guidelines for manufacturing factories in Industry 4.0. IEEE Access 9:23235–23263. https://doi.org/10.1109/ACCESS.2021.3056650
Galvez JF, Mejuto JC, Simal-Gandara J (2018) Future challenges on the use of blockchain for food traceability analysis. TrAC Trends Anal Chem 107:222–232. https://doi.org/10.1016/j.trac.2018.08.011
Bodkhe U, Tanwar S, Parekh K, Khanpara P, Tyagi S, Kumar N, Alazab M (2020) Blockchain for Industry 4.0: a comprehensive review. IEEE Access 8:79764–79800. https://doi.org/10.1109/ACCESS.2020.2988579
Mohamed N, Al-Jaroodi J (2019) Applying blockchain in Industry 4.0 applications. In: 2019 IEEE 9Th annual computing and communication workshop and conference (CCWC), pp 0852–0858, DOI https://doi.org/10.1109/CCWC.2019.8666558, (to appear in print)
Leng J, Ye S, Zhou M, Zhao JL, Liu Q, Guo W, Cao W, Fu L (2021) Blockchain-secured smart manufacturing in Industry 4.0: a survey. IEEE Transactions on Systems, Man, and Cybernetics: Systems 51(1):237–252. https://doi.org/10.1109/TSMC.2020.3040789
Ko T, Lee J, Ryu D (2018) Blockchain technology and manufacturing industry: real-time transparency and cost savings. Sustainability 10(11)
De Giovanni P (2020) Blockchain and smart contracts in supply chain management: a game theoretic model. Int J Prod Econ 228:107855. https://doi.org/10.1016/j.ijpe.2020.107855
Lee J, Azamfar M, Singh J (2019) A blockchain enabled cyber-physical system architecture for Industry 4.0 manufacturing systems. Manufacturing Letters 20:34–39. https://doi.org/10.1016/j.mfglet.2019.05.003
Li Z, Barenji AV, Huang GQ (2018) Toward a blockchain cloud manufacturing system as a peer to peer distributed network platform. Robot Comput Integr Manuf 54:133–144. https://doi.org/10.1016/j.rcim.2018.05.011
Fernández-Caramés TM, Blanco-Novoa O, Froiz-Míguez I, Fraga-Lamas P (2019) Towards an autonomous Industry 4.0 warehouse: a UAV and blockchain-based system for inventory and traceability applications in big data-driven supply chain management. Sensors 19(10)
Wang Y, Kogan A (2018) Designing confidentiality-preserving blockchain-based transaction processing systems. Int J Account Inf Syst 30:1–18. https://doi.org/10.1016/j.accinf.2018.06.001. 2017 Research Symposium on Information Integrity and Information Systems Assurance
Cohen Y, Naseraldin H, Chaudhuri A, et al. (2019) Assembly systems in Industry 4.0 era: a road map to understand assembly 4.0. Int J Adv Manuf Technol 105:4037–4054. https://doi.org/10.1007/s00170-019-04203-1
Nakamoto S (2009) Bitcoin: a peer-to-peer electronic cash system. Cryptography Mailing list at https://metzdowd.com
Acknowledgements
The authors acknowledge the support of ETAPLES 4.0 project which is co-financed by the European Regional Development Fund and the Industry of the future program of the Hauts de France Region Council.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare no competing interests.
Additional information
Author contribution
Valentin Mullet and Patrick Sondi conceived the BPCAT approach. Patrick Sondi formalised the confidentiality preserving mechanism. Valentin Mullet specified and carried out the BPCAT implementation with Multichain. Eric Ramat supervised the research work and verified the implementation. All authors wrote and reviewed the manuscript.
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Patrick Sondi and Eric Ramat contributed equally to this work.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Mullet, V., Sondi, P. & Ramat, E. A blockchain-based confidentiality-preserving approach to traceability in Industry 4.0. Int J Adv Manuf Technol 124, 1297–1320 (2023). https://doi.org/10.1007/s00170-022-10431-9
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00170-022-10431-9