Abstract
Today’s information and communication technologies (ICT) which include interdisciplinary science integration, which meets applications in food manufacturing, are used for production processes and quality management. Food production and quality management are ever-developing together with the development of metrology, sensor-based measuring instruments, and ICT technology which is used to design for the evaluation. Quality management is starting from measuring the accurate and reliable data from the production. And it continues with the transfer/store of the collected data in a secure chain.
The data that collected from the food production process transform an information by the processing operations that contain artificial intelligence or statistical prediction system which helps the decision makers in food production management. This information shared with the experts and quality managers for the monitoring the system. This sharing process need to be done in secure way to keep safe the system from foreign/internal intervention.
Blockchain is a secured and distributed database solution that provides decentralized management of transaction data. Blockchain application structure focuses on three different structures: Blockchain ledger, Blockchain network and stakeholders. With the help of these structures, Blockchain applications have security, privacy, efficiency, performance, usability, data integrity and scalability features. With this study, we aim to further consolidate the quality processes by aiming to include the Blockchain technology, which has the specified features, with the quality processes.
Our designed model encompasses; wireless sensor network (WSN) which using for collecting, processing the sensor-based measuring data of the condition of a food production facility, and distributing the information using by blockchain technology. This approach targets; higher secured monitoring system, progress further reliable quality management and efficiency.
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References
Şen, K.Ö., Durakbasa, M., Baysal, M., Şen, G., Baş, G.: Smart factories: a review of situation, and recommendations to accelerate the evolution process. In: Durakbasa, N.M., Gencyilmaz, M.G. (eds.) ISPR 2018, pp. 464–479. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-92267-6_40
Zhou, K., Liu, T., Zhou, L., Liu, T.: Industry 4.0: towards future industrial opportunities and challenges. In: 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery FSKD 2015, pp. 2147–2152 (2016)
Chen, F., Gao, B., Selvaggio, M., et al.: A framework of teleoperated and stereo vision guided mobile manipulation for industrial automation, pp. 1641–1648 (2016)
Wang, S., Zhang, C., Wan, J.: A smart factory solution to hybrid production of multi-type products with reduced intelligence. In: 2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference, pp. 848–853. IEEE (2016)
Balogun, O.O., Popplewell, K.: Towards the integration of flexible manufacturing system scheduling. Int. J. Prod. Res. 37(15), 3399–3428 (1999)
Priore, P., de la Fuente, D., Puente, J., Parreño, J.: A comparison of machine-learning algorithms for dynamic scheduling of flexible manufacturing systems. Eng. Appl. Artif. Intell. 19(3), 247–255 (2006)
Liu, Q., Wan, J., Zhou, K.: Cloud manufacturing service system for industrial-cluster-oriented application. J. Internet Technol. 15(3), 373–380 (2014)
Mohamed, N., Al-Jaroodi, J.: Applying blockchain in industry 4.0 applications. In: 2019 IEEE 9th Annual Computing and Communication Workshop and Conference (CCWC), pp. 0852–0858. IEEE, January 2019
Nguyen, D.C., Pathirana, P.N., Ding, M., Seneviratne, A.: Integration of blockchain and cloud of things: architecture, applications and challenges. IEEE Commun. Surv. Tutor. 22(4), 2521–2549 (2020)
Panarello, A., Tapas, N., Merlino, G., Longo, F., Puliafito, A.: Blockchain and IoT integration: a systematic survey. Sensors 18(8), 2575 (2018)
Ferrag, M.A., Derdour, M., Mukherjee, M., Derhab, A., Maglaras, L., Janicke, H.: Blockchain technologies for the internet of things: research issues and challenges. IEEE Internet Things J. 6(2), 2188–2204 (2018)
Zhang, Y., He, D., Choo, K.K.R.: BaDS: blockchain-based architecture for data sharing with ABS and CP-ABE in IoT. Wireless Commun. Mob. Comput. 2018 (2018)
Stamatellis, C., Papadopoulos, P., Pitropakis, N., Katsikas, S., Buchanan, W.J.: A privacy-preserving healthcare framework using hyperledger fabric. Sensors 20(22), 6587 (2020)
Liang, X., Zhao, J., Shetty, S., Liu, J., Li, D.: Integrating blockchain for data sharing and collaboration in mobile healthcare applications. In: 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), pp. 1–5. IEEE, October 2017
Nguyen, D.C., Pathirana, P.N., Ding, M., Seneviratne, A.: Blockchain for secure EHRs sharing of mobile cloud based e-health systems. IEEE Access 7, 66792–66806 (2019)
Benhamouda, F., Halevi, S., Halevi, T.: Supporting private data on hyperledger fabric with secure multiparty computation. IBM J. Res. Dev. 63(2/3), 1–3 (2019)
Pahontu, B., Arsene, D., Predescu, A., Mocanu, M.: Application and challenges of blockchain technology for real-time operation in a water distribution system. In: 2020 24th International Conference on System Theory, Control and Computing (ICSTCC), pp. 739–744. IEEE, October 2020
Chen, J.: Flowchain: a distributed ledger designed for peer-to-peer IoT networks and real-time data transactions. In: Proceedings of the 2nd International Workshop on Linked Data and Distributed Ledgers (LDDL2), January 2017
Li, J., Liu, Z., Chen, L., Chen, P., Wu, J.: Blockchain-based security architecture for distributed cloud storage. In: 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), pp. 408–411. IEEE, December 2017
Lee, J., Azamfar, M., Singh, J.: A blockchain enabled cyber-physical system architecture for industry 4.0 manufacturing systems. Manuf. Lett. 20, 34–39 (2019)
Chen, Y., Li, H., Li, K., Zhang, J.: An improved P2P file system scheme based on IPFS and Blockchain. In: 2017 IEEE International Conference on Big Data (Big Data), pp. 2652–2657. IEEE, December 2017
Rathee, G., Balasaraswathi, M., Chandran, K.P., Gupta, S.D., Boopathi, C.S.: A secure IoT sensors communication in industry 4.0 using blockchain technology. J. Ambient Intell. Humaniz. Comput. 12(1), 533–545 (2021). https://doi.org/10.1007/s12652-020-02017-8
Ozyilmaz, K.R., Yurdakul, A.: Designing a Blockchain-based IoT with Ethereum, swarm, and LoRa: the software solution to create high availability with minimal security risks. IEEE Consum. Electron. Mag. 8(2), 28–34 (2019)
Ghaderi, M.R., Asgari, S., Ghahyazi, A.E.: How can hyperledger fabric blockchain platform secure power plants remote monitoring. In: 2020 28th Iranian Conference on Electrical Engineering (ICEE), pp. 1–7. IEEE, August 2020
Iansiti, M., Lakhani, K.: The truth about blockchain. Harv. Bus. Rev. 95, 118–127 (2017)
Manav Gupta, J.W.: Blockchain for Dummies 3rd IBM Limited Edition (2020). IBM: https://www.ibm.com/tr-tr/blockchain/what-is-blockchain
Subic, A., Xiang, Y., Pai, S., de La Serve, E.B.: Industry 4.0: Why Blockchain is at the Heart of the Fourth Industrial Revolution and Digital Economy. Capgemini, Paris, France (2017)
Şen, K., Durakbasa, M., Baş, G., Şen, G., Akçatepe, O.: An implementation of cloud based simulation in production. In: Durakbasa, N.M., Gençyılmaz, M.G. (eds.) ISPR -2019. LNME, pp. 519–524. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-31343-2_45
Şen, K.Ö., Durakbaşa, M.N., Erdöl, H., Berber, T., Bas, G., Sevik, U.: Implementation of digitalization in food industry. In: DAAAM International Scientific Book 2017, pp. 091–104 (2017). Chapter 08
Safe Quality Food: SQF Quality Code, Edition 8 (SQF Standard No. 200) (2017). https://www.sqfi.com/wp-content/uploads/2018/08/SQF-Code-Edition-8-Quality-Guidance-FINAL.pdf
Global Food Safety Initiative: Governance Model and Rules of Procedure (2018). https://www.mygfsi.com/images/GFSI_Governance_Model_And_Rules_Of_Procedure/GFSI_Governance_Model_June2018_.pdf
British Retail Consortium (BRC): BRC Global Standard for Food Safety ISSUE 8 (2018). https://www.brcbookshop.com/bookshop/brc-global-standard-food-safety-issue-8/c-24/p-414153
International Featured Standards (IFS): IFS Food 6.1 (2018). https://www.ifs-certification.com/index.php/en/download-standards?item=251
United States Food and Drug Administration (FDA): Hazard Analysis Critical Control Point (HACCP), Food HACCP and the FDA Food Safety Modernization Act: Guidance for Industry (2017). https://www.fda.gov/downloads/Food/GuidanceRegulation/GuidanceDocumentsRegulatoryInformation/UCM569798.pdf
International Organization for Standardization: Occupational health and safety management systems - Requirements with guidance for use (ISO/DIS Standard No. 45001) (2018). http://www.iso.org/iso/catalogue_detail?csnumber=63787
Acknowledgment
We thank TÜBİTAK (The Scientific and Technological Research Council of Turkey) and Durukan Şekerleme San. Tic. A.Ş. for encouraging us in our study.
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Şen, G., Medeni, İ.T., Şen, K.Ö., Durakbasa, N.M., Medeni, T.D. (2022). Sensor Based Intelligent Measurement and Blockchain in Food Quality Management. In: Durakbasa, N.M., Gençyılmaz, M.G. (eds) Digitizing Production Systems. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-90421-0_27
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