Abstract
The advent of Industry 4.0 has moved the manufacturing industry to recent models of Internet of Things (IoT), cyber physical systems (CPS), cloud manufacturing, fog computing, big data analytics, among others. Data has become more ubiquitous with the increase in the development of mobile and wireless networking technologies. Also, due to high expectations for productivity improvement, efficiency, and enabling innovative service through collaborative means, IoT is attracting much attention. CPS is the integration of computational objects in fitting together with the corporal biosphere and its procedures. CPSs are complicated manufacturing systems with the goal to combine and harmonize mechanism biosphere and industrial capability to the cyber computational space. Nevertheless, having thorough interconnectivity and a computational platform is essential for a practicable application of CPSs and smart factories. Smart manufacturing, also known as Industry 4.0 or Industry Internet of Things (IIoT), is increasingly becoming the common goal of various industrial and national strategies. For a better implementation of smart manufacturing, smart interconnection is one of the most significant issues. Current technologies, however, are not yet completely equipped for smart interconnection while working with heterogeneous hardware, fast setup, and delivery, as well as online service generation. In this chapter, the effects of IoT technology and CPS in the advancement and awareness of real-life smart manufacturing is addressed. An integrated IoT and CPS framework is recommended as a specification for researchers and industries toward the full realization of the potentials of IoT with CPS in the development of Industry 4.0 smart manufacturing technologies.
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References
Berger, C. (2014). Scenario pattern matching in large sensor recordings with simulation models for cyber-physical systems. In Proceedings of Society for Computer Simulation International’s Summer Simulation Multi-conference (p. 38).
Böhm, M., Leimeister, S., Ried, C., & Krcmar, H. (2011). Cloud computing—Outsourcing 2.0 or a new business model for IT provisioning? In F. Keuper, C. Oecking, & A. Degenhardt (Eds.), Proceedings of Application Management (pp. 31–56). Gabler.
Bordel, B., Alcarria, R., Robles, T., & Martin, D. (2017). Cyber-physical systems: Extending pervasive sensing from control theory to the Internet of Things. Pervasive and Mobile Computing. https://doi.org/10.1016/j.pmcj.2017.06.011.
Borgia, E. (2014). The internet of things vision: Key features, applications and open issues. Computer Communications, 54, 1–31. https://doi.org/10.1016/j.comcom.2014.09.008.
Brettel, M., Friederichsen, N., Keller, M., & Rosenberg, M. (2014). How virtualization, decentralization and network building change the manufacturing landscape: An Industry 4.0 perspective. International Journal of Mechanical, Industrial Science and Engineering, 8(1): 37–44.
Consortium, II. (2019). Industry 4.0 definition industrial internet factsheet. https://www.iiconsortium.org/docs/IIC_FACT_SHEET.pdf.
Drath, R., & Horch, A. (2014). Industrie 4.0: Hit or hype? IEEE Industrial Electronics Magazine, 8(2), 56–58.
Gunes, V., Peter, S., Givargis, T., & Vahid, F. (2014). A survey on concepts, applications, and challenges in cyber-physical systems. KSII Transactions on Internet and Information Systems, 8(12), 4242–4268. https://doi.org/10.3837/tiis.2014.12.001.
Hahanov, V. (2018). Cyber physical computing for IoT-driven services. In Cyber physical computing for IoT-driven services. https://doi.org/10.1007/978-3-319-54825-8.
Hahanov, V. I., Amer, T. B., Chumachenko, S. V., & Litvinova, E. I. (2015). Qubit technology analysis and diagnosis of digital devices. Electronic Modeling J, 37(3), 17–40.
Hehenberger, P., Vogel-Heuser, B., Bradley, D., Eynard, B., Tomiyama, T., & Achiche, S. (2016). Design, modelling, simulation and integration of cyber physical systems: Methods and applications. Computers in Industry, 82, 273–289. https://doi.org/10.1016/j.compind.2016.05.006.
Hermann, M., Pentek, T., & Otto, B. (2016). Design principles for industrie 4.0 scenarios. In Proceedings of the Annual Hawaii International Conference on System Sciences, 2016-March, (pp. 3928–3937). https://doi.org/10.1109/HICSS.2016.488.
Hunter, T., Das, T., Zaharia, M., Abbeel, P., & Bayen, A. M. (2013). Large-scale estimation incyber physical systems using streaming data: A case study with arterial tra ± c estimation. IEEE Transactions on Automation Science and Engineering, 10(4), 884–898.
Hyseni, D., Çiço, B., & Selimi, B. (2016). Conception, design and implementation of an interface for security in cloud controlled by the end user. International Journal on Information Technologies & Security, 8(2).
Kagermann, H., & Wahlster, W. (2016). Industrie 4.0: Smart manufacturing for the future. Berlin, Germany: Germany Trade and Invest.
Kim, S., & Park, S. (2017). CPS (cyber physical system) based manufacturing system optimization. Procedia Computer Science, 122, 518–524. https://doi.org/10.1016/j.procs.2017.11.401.
Kumar, A., & Nayyar, A. (2020). si3-Industry: A sustainable, intelligent, innovative, internet-of-things industry. In A roadmap to Industry 4.0: Smart production, sharp business and sustainable development (pp. 1–21). Cham: Springer.
Lasi, H., Fettke, P., Kemper, H. G., Feld, T., & Hoffmann, M. (2014). Industry 4.0. Business & Information Systems Engineering, 6(4), 239–242. https://doi.org/10.1007/s12599-014-0334-4.
Lee, E. A. (2008). Cyber physical systems: Design challenges in object oriented real-time distributed computing. In 11th IEEE International Symposium on Distributed Computing (ISORC) (pp. 363–369).
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.
Liu, L., Zhao, S., Yu, Z., & Dai, H. (2015). A big data inspired chaotic solution for fuzzy feedback linearization model in cyber-physical systems. Ad Hoc Networks, 35, 97–104.
Lu, Y. (2017). Industry 4.0: A survey on technologies, applications and open research issues. Journal of Industrial Information Integration, 6, 1–10. https://doi.org/10.1016/j.jii.2017.04.005.
Marini, A., & Bianchini, D. (2016). Big data as a service for monitoring cyber-physical production systems. In ECMS, (pp. 579–586).
Mell, P. M., & Grance, T. (2011). The NIST definition of cloud computing (800–145).
Monostori, L., Kadar, B., Bauernhansl, T., Kondoh, S., Kumara, S., Reinhart, G., & Ueda, K. (2016). Cyber-physical systems in manufacturing. CIRP Annals-Manufacturing Technology, 65(2) 621–641 (2016).
Niggemann, O., Biswas, G., Kinnebrew, J. S., Khorasgani, H., Volgmann, S., & Bunte, A. (2015). Data-driven monitoring of cyber-physical systems leveraging on big data and the internet-of-things for diagnosis and control. In DX@ safe process (pp. 185–192).
O’donovan, P., Gallagher, C., Bruton, K., & O’Sullivan, D. T. (2018). A fog computing industrial cyber-physical system for embedded low-latency machine learning Industry 4.0 applications. Manufacturing Letters, 15, 139–142.
Ochoa, S. F., Fortino, G., & Di Fatta, G. (2017). Cyber-physical systems, internet of things and big data. Future Generation Computer Systems, 75, 82–84. https://doi.org/10.1016/j.future.2017.05.040.
Padikkapparambil, J., Ncube, C., Singh, K. K., & Singh, A. (2020). Internet of things technologies for elderly health-care applications. In Emergence of pharmaceutical industry growth with industrial IoT approach (pp. 217–243). Academic Press.
Ruhse, K. U., & Baturova, M. (2012). Cloud computing: Cloud computing as an integral part of a modern IT strategy. ISACA Journal, 3, 6.
Sehgal, A., Agrawal, R., Bhardwaj, R., & Singh, K. K. (2020). Reliability analysis of wireless link for IOT applications under shadow-fading conditions. Procedia Computer Science, 167, 1515–1523.
Shih, C. S., Chou, J. J., Reijers, N., & Kuo, T. W. (2016). Designing CPS/IoT applications for smart buildings and cities. IET Cyber-Physical Systems: Theory & Applications, 1(1), 3–12. https://doi.org/10.1049/iet-cps.2016.0025.
Singh, A. K., Firoz, N., Tripathi, A., Singh, K. K., Choudhary, P., & Vashist, P. C. (2020a). Internet of things: From hype to reality. In An industrial IoT approach for pharmaceutical industry growth (Vol. 2, pp. 191).
Singh, P., Nayyar, A., Kaur, A., & Ghosh, U. (2020b). Blockchain and fog based architecture for internet of everything in smart cities. Future Internet, 12(4), 61.
Singh, M., Sachan, S., Singh, A., & Singh, K. K. (2020c). Internet of things in pharma industry: Possibilities and challenges. In Emergence of pharmaceutical industry growth with industrial IoT approach (pp. 195–216). Academic Press.
Sztipanovits, J., Koutsoukos, X., Karsai, G., Kottenstette, N., Antsaklis, P., Gupta, V., et al. (2012). Toward a science of cyber-physical system integration. Proceedings of the IEEE, 100(1), 29–44.
Tan, Y., Yang, W., Yoshida, K., & Takakuwa, S. (2019). Application of IoT-aided simulation to manufacturing systems in cyber-physical system. Machines, 7(1), 2.
Tao, F., Qi, Q., Wang, L. & Nee, A. Y. C. (2019). Digital twins and cyber–physical systems toward smart manufacturing and Industry 4.0: Correlation and comparison. Engineering, 5(4), 653–661.
Tu, M. K., Lim, M., & Yang, M. F. (2016). Internet of things-based production logistics and supply chain system-Part 2 : IoT-based cyber-physical system : A framework and evaluation. Industrial Management & Data Systems, 118(1), 96–125. https://doi.org/10.1108/imds-11–2016-0504.
Xu, L. D., & Duan, L. (2019). Big data for cyber physical systems in Industry 4.0: A survey. Enterprise Information Systems, 13(2), 148–169.
Zhang, L. (2014). A framework to specify big data driven complex cyber physical control systems. In Proceedings of IEEE International Conference on Information and Automation (ICIA), (Hailar, China, pp. 548–553).
Zhang, L. (2014). Designing big data driven cyber physical systems based on AADL. In Proceedings of IEEE International Confernce on Systems, Man and Cybernetics (SMC), (San Diego, CA, US, pp. 3072–3077).
Zhang, Y., Guo, Z., Lv, J., & Liu, Y. (2018). A framework for smart production-logistics systems based on CPS and industrial IoT. IEEE Transactions on Industrial Informatics, 14(9), 4019–4032. https://doi.org/10.1109/TII.2018.2845683.
Zhang, Y., Qiu, M., Tsai, C. W., Hassan, M. M., & Alamri, A. (2015a). Health-CPS: Healthcare cyber-physical system assisted by cloud and big data. IEEE Systems Journal, 11(1), 88–95.
Zhang, D., Zhao, J., Zhang, F., & He, T. (2015). Urban CPS: A cyber-physical system based on multi-source big infrastructure data for heterogeneous model integration. In Proceedings ACM/IEEE Sixth International Conference on Cyber-Physical Systems, (pp. 238–247).
Zheng, P., Sang, Z., Zhong, R. Y., Liu, Y., Liu, C., Mubarok, K., … & Xu, X. (2018). Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives. Frontiers of Mechanical Engineering, 13(2), 137–150.
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Abikoye, O.C. et al. (2021). Application of Internet of Thing and Cyber Physical System in Industry 4.0 Smart Manufacturing. In: Singh, K.K., Nayyar, A., Tanwar, S., Abouhawwash, M. (eds) Emergence of Cyber Physical System and IoT in Smart Automation and Robotics. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-030-66222-6_14
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