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Transformation of the Workplace by the Introduction of IIOT


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1 Professor, Department of Management Studies, K.K.Wagh Institute of Engineering Education & Research, Nashik, Maharashtra, India
     

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With the advent of I4 which started almost a decade ago the digitalization process of industry assumed importance with dominance of IOT. IIOT is a logical confluence of the device layer, network level and content level. IIOT is also asub domain of IOT and combines intelligent industrial components for improving productivity. The subject matter under consideration arrogates a positional advantage of IIOT. One of the identified benefits of IIOT is a complete transformation of the workplace by improved productivity. In this paper, the ability of IIOT to transform traditional and linear manufacturing supply chains to variegated interconnected systems as accretion and to bring safer working environment which supports the intransigent societal considerations are considered amongst other aspects.The impact of IIOT in the workplace to the extent of job loss can evanescent by skill development.

Keywords

IIOT, IOT, Digitalization, Cyber-physical Systems, Artificial Intelligence
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  • Ayoub, W., Samhat, A.E., Mroue, M., Joumaa, H.,Nouvel, F., Prévotet, J.C. (2020). Technology selection for iot-based smart transportation systems. Springer.
  • Aazam, M., Zeadally, S., Harras, K.A. (2018). Deploying fog computing in Industrial internet of things and industry 4.0. IEEE Transactions on Industrial Informatics,14 (10), 4674-4682.
  • Bader, S.R., Maleshkova, M., Lohmann, S. (2019). Structuring reference architectures for the Industrial internet of things. Future Internet, 11(7), 151. 10.3390/fi11070151.
  • Boyes, H., Hallaq, B., Cunningham, J., Watson, T. (2018). The industrial internet of things (IIoT): An analysis framework. Computers in Industry, 101, 1-12. 10.1016/j.compind.2018. 04.015.
  • Buttazzo, G.C. (2011). Hard Real-Time Computing Systems (3 ed.).Springer.
  • Cha, S.C., Hsu, T.Y., Xiang, Y., Yeh, K.H. (2018). Privacy enhancing technologies in the internet of things: Perspectives and challenges. IEEE Internet of Things Journal, 6(2), 2159-2187.
  • Cirillo, F., Gomez, D., Diez, L., Maestro, I.E., Gilbert, T.B.J., Akhavan, R. (2020). Smart city IoT services creation through large-scale collaboration.IEEE Internet of Things Journal, 7(6), 5267-5275.
  • Da Xu, L., He, W., Li, S.(2014). Internet of things in industries: A survey. IEEE Transactions on Industrial Informatics, 10(4), 2233-2243.
  • Domingo, M.C. (2012). An overview of the internet of things for people with disabilities. Journal of Network and Computer Applications, 35(2), 584-596.
  • Figueroa-Lorenzo, S., Añorga, J., Arrizabalaga, S. (2020). A survey of IIoT protocols: A measure of vulnerability risk analysis based on CVSS. ACM Computing Surveys, 53(2), 1-53.
  • Fortino, G., Messina, F.,Rosaci, D., Sarne, G.M., Savaglio, C. (2020). A trust-based team formation framework for mobile intelligence in smart factories. IEEE Transactions on Industrial Informatics, 16(9), 6133-6142.
  • Galkin, P., Golovkina, L., Klyuchnyk, I. (2018). Analysis of single-board computers for IoT and IIoT solutions in embedded control systems. Proceedings of the 2018 International ScientificPractical Conference Problems of Infocommunications. Science and Technology (PIC S&T),Ukraine. 10.1109/INFOCOMMST.2018.8632069.
  • Gaitan, N.C., Gaitan, V.G.,Moisuc, E.E.C. (2014). Improving interrupt handling in the nMPRA.
  • Proceedings of the 2014 International Conference on Development and Application Systems (DAS), Romania. 10.1109/DAAS.2014.6842419
  • Hylving, L.,Schultze, Ulrike. (2013). Evolving the modular layered architecture in digital innovation: The case of the car's instrument cluster. Proceedings of the International Conference on Information Systems, Italy. http://www.iiconsortium.org/IIRA.htm.
  • Jia, X., Feng, Q., Fan, T., Lei, Q. (2012). RFID technology and its applications in Internet of Things (IoT). Proceedings of the 2012 2nd International Conference on Consumer Electronics, Communications and Networks (CECNet), China. 10.1109/CECNet.2012.6201508
  • Oztemel, E., Gursev, S. (2020). Literature review of Industry 4.0 and related technologies. Journal of Intelligent Manufacturing, 31, 127-182. 10.1007/s10845-018-1433-8.
  • Pisching, M.A., Pessoa, M.A.O., Junqueira, F., Filho, D.J.D.S., Miyagi, P.E. (2018). An architecture based on RAMI 4.0 to discover equipment to process operations required by products. Computers &Industrial Engineering, 125, 574-591. https://www.sciencedirect.com/science/article/abs/pii/ S0360835217306034
  • Qi, Q., Tao, F. (2019). A smart manufacturing service system based on edge computing, fog computing, and cloud computing. IEEE Access, 7, 86769-86777. https://ieeexplore.ieee.org/ document/8740963
  • Samuel, A., Sipes, C. (2019). Making internet of things real. IEEE Internet of Things Magazine, 2(1), 10-12.
  • Seetharaman, A., Patwa, N., Saravanan, A., Sharma, A. (2019). Customer expectation from industrial internet of things (IIOT). Journal of Manufacturing Technology Management, 30(8), 1161-1178.
  • Sengupta, J., Ruj, S., Das Bit, S. (2020). A secure fog based architecture for industrial internet of things and industry 4.0. IEEE Transactions on Industrial Informatics,17(4), 2316-2324.
  • Sisinni, E., Saifullah, A., Han, S., Jennehag, U.,Gidlund, M. (2018). Industrial internet of things: Challenges, opportunities, and directions. IEEE Transactions on Industrial Informatics, 14(11),4724-4734.
  • Tange, K., De Donno, M., Fafoutis, X., Dragoni, N. (2020). A systematic survey of industrial internet of things security: Requirements and fog computing opportunities. IEEE Communications Surveys and Tutorials, 99. 10.1109/COMST.2020.3011208
  • Ungurean, I., Brezulianu, A.(2017). An internet of things framework for remote monitoring of the healthcare parameters. Advances in Electrical and Computer Engineering, 17(2), 11-16.
  • Urbina, M., Acosta, T., Lázaro, J., Astarloa, A., Bidarte, U. (2019). Smart sensor: SoC architecture for the industrial internet of things. IEEE Internet of Things Journal, 6(4), 6567-6577.
  • Yu, Y., Chen, R., Li, H., Li, Y., Tian, A.(2019).Toward data security in edge intelligent IIoT. IEEE Network, 33(5), 20-26.
  • Zhu, W.,Wang, Z., Zhang, Z. (2020). Renovation of automation system based on industrial internet of things: A case study of a sewage treatment plant. Sensors, 20(8), 2175. 10.3390/s20082175.
  • Zurawski, R. (2018). The Industrial Information Technology Handbook. CRC Press.

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  • Transformation of the Workplace by the Introduction of IIOT

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Authors

Sankar Rajeev
Professor, Department of Management Studies, K.K.Wagh Institute of Engineering Education & Research, Nashik, Maharashtra, India

Abstract


With the advent of I4 which started almost a decade ago the digitalization process of industry assumed importance with dominance of IOT. IIOT is a logical confluence of the device layer, network level and content level. IIOT is also asub domain of IOT and combines intelligent industrial components for improving productivity. The subject matter under consideration arrogates a positional advantage of IIOT. One of the identified benefits of IIOT is a complete transformation of the workplace by improved productivity. In this paper, the ability of IIOT to transform traditional and linear manufacturing supply chains to variegated interconnected systems as accretion and to bring safer working environment which supports the intransigent societal considerations are considered amongst other aspects.The impact of IIOT in the workplace to the extent of job loss can evanescent by skill development.

Keywords


IIOT, IOT, Digitalization, Cyber-physical Systems, Artificial Intelligence

References