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Risk and Reliability Analysis in the Era of Digital Transformation

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Advances in Reliability, Failure and Risk Analysis

Part of the book series: Industrial and Applied Mathematics ((INAMA))

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Abstract

Evolution of Industry 4.0 and the integration of the digital, physical, and human worlds, reliability and safety engineering must evolve in order to address the challenges currently and in the future. This chapter aimed to describe the application of digital transformation in the reliability engineering and risk analysis. In this chapter, the principle of digital transformation is introduced as well as some of the opportunities and challenges in reliability engineering. New directions for research in system modeling, big data analysis, health management, cyber-physical system, human–machine interaction, uncertainty, jointly optimization, communication, and interfaces are proposed. Various topics may be investigated individually, however, we present here a perspective on safety and reliability analysis in the era of digital transformation that would be suitable for discussion and consideration by scientists interested in this topic. The digital transformation combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems.

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Abbreviations

Notation :

Main acronyms

CPS:

Cyber-physical systems

IoT:

Internet of Things

IT:

Information technology

ML:

Machine learning

ANN:

Artificial neural networks

AI:

Artificial intelligence

ITU:

International Telecommunication Union

FTA:

Fault tree analysis

FMEA:

Failure modes and effects analysis

HAZOP:

Hazard and operability methodology

MBE:

Model-based engineering

GTST-MLD:

Goal tree-success tree and master logic diagram

STPA:

System theoretic process analysis

CIA:

Confidentiality, integrity, and availability

References

  1. Sergi, D., Ucal Sari, I.: Prioritization of public services for digitalization using fuzzy Z-AHP and fuzzy Z-WASPAS. Complex Intelligent Syst. 7(2), 841–856 (2021)

    Article  Google Scholar 

  2. Bradbury, S., Carpizo, B., Gentzel, M., Horah, D., Thibert, J.: Digitally Enabled Reliability: Beyond Predictive Maintenance. McKinsey and Company (2018)

    Google Scholar 

  3. Zio, E.: Some challenges and opportunities in reliability engineering. IEEE Trans. Reliab. Inst. Electrical Electronics Eng. 65(4), 1769–1782 (2016)

    Google Scholar 

  4. Farsi, M.A., Zio, E.: Industry 4.0: some challenges and opportunities for reliability engineering. Int. J. Reliab. Risk Safety: Theor. Appl. 2(1), 23–34 (2019)

    Google Scholar 

  5. Muhuri, P.K., Shukla, A.K., Abraham, A.: Industry 4.0: a bibliometric analysis and detailed overview. Eng. Appl. Artif. Intell. 78, 218–235 (2019)

    Article  Google Scholar 

  6. Shahbakhsh, M., Emad, G.R., Cahoon, S.: Industrial revolutions and transition of the maritime industry: the case of Seafarer’s role in autonomous shipping. Asian J. Shipping Logistics 38(1), 10–18 (2022)

    Article  Google Scholar 

  7. Torres, M.B., Gallego-García, D., Gallego-García, S., García-García, M.: Development of a business assessment and diagnosis tool that considers the impact of the human factor during industrial revolutions. Sustainability 14(2), 940 (2022)

    Article  Google Scholar 

  8. Panetto, H., Iung, B., Ivanov, D., Weichhart, G., Wang, X.: Challenges for the cyber-physical manufacturing enterprises of the future. In: Annual Reviews in Control (2019)

    Google Scholar 

  9. Alcácer, V., Cruz-Machado, V.: Scanning the Industry 4.0: A Literature Review on Technologies for Manufacturing Systems, Engineering Science and Technology, An International Journal, In Press (2019)

    Google Scholar 

  10. Vaidya, S., Ambad, P., Bhosle, S.: Industry 4.0—a glimpse. Proc. Manuf. 20, 233–238 (2018)

    Google Scholar 

  11. Rauch, E., Linder, C., Dallasega, P.: Anthropocentric perspective of production before and within Industry 4.0. In: Computers & Industrial Engineering, Published Online (2019). https://doi.org/10.1016/j.cie.2019.01.018

  12. Tao, F., Qi, Q., Liu, A., Kusiak, A.: Data-driven smart manufacturing. J. Manuf. Syst. 48, 157–169 (2018)

    Article  Google Scholar 

  13. Albright, B.: Deep Learning and Design Engineering, addressed by (2019) https://www.digitalengineering247.com/article/deep-learning-and-designengineering

  14. Kolar, D., Lisjak, D., Curman, M., Pająk, M.: Condition monitoring of rotary machinery using industrial IOT framework: step to smart maintenance. Tehnički glasnik 16(3), 343–352 (2022)

    Article  Google Scholar 

  15. Fuenmayor, E., Parra, C., González-Prida, V., Crespo, A., Kristjanpoller, F., Viveros, P.: Calculating the optimal frequency of maintenance for the improvement of risk management: plausible models for the integration of cloud and IoT. In: IoT and Cloud Computing for Societal Good, pp. 209–219. Springer, Cham (2022)

    Google Scholar 

  16. Dehbashi, N., SeyyedHosseini, M., Yazdian-Varjani, A.: IoT based condition monitoring and control of induction motor using raspberry pi. In: 2022 13th Power Electronics, Drive Systems, and Technologies Conference (PEDSTC), pp. 134–138 (2022)

    Google Scholar 

  17. Singh, R., Sharma, R., Akram, S.V., Gehlot, A., Buddhi, D., Malik, P.K., Arya, R.: Highway 4.0: Digitalization of highways for vulnerable road safety development with intelligent IoT sensors and machine learning. Safety Sci. 143, 105407 (2021)

    Google Scholar 

  18. Killeen, P., Ding, B., Kiringa, I., Yeap, T.: IoT-based predictive maintenance for fleet management. Proc. Comput. Sci. 151, 607–613 (2019)

    Article  Google Scholar 

  19. Vogel, J.: The new relevant alternatives theory. Philos. Perspect. 13, 155–180 (1999)

    Google Scholar 

  20. Lee, J., Bagheri, B.: Cyber-physical systems in future maintenance. In: 9th WCEAM Research Papers, pp. 299–305. Springer, Cham (2015)

    Google Scholar 

  21. Wang, B., Wang, Y.: Big data in safety management: an overview. Saf. Sci. 143, 105414 (2021)

    Article  Google Scholar 

  22. Wang, B., Wu, C.: Study on the innovation research of safety science based on the safety big data. Sci. Technol. Manag. Res. 37–43 (2017)

    Google Scholar 

  23. Stouffer, K., Falco, J., Scarfone, K.: Guide to industrial control systems (ICS) security. NIST Spec. Publ. 800(82), 29–32 (2011)

    Google Scholar 

  24. Dzung, D., Naedele, M., Von Hoff, T.P., et al.: Security for industrial communication systems. Proc. IEEE 93(6), 1152–1177 (2005)

    Article  Google Scholar 

  25. ISO/IEC 27001: Information Technology Security Techniques Information Security Management Systems—Requirements (2013)

    Google Scholar 

  26. Cheminod, M., Durante, L., Valenzano, A.: Review of security issues in industrial networks. IEEE Trans. Ind. Inf. 9(1), 277–293 (2013)

    Article  Google Scholar 

  27. Peng, Y., Lu, T., Liu, J., et al.: Cyber-physical system risk assessment. In: Proceedings of the 9th International Conference Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2013, Beijing, China, October 2013, 16–18 (2013)

    Google Scholar 

  28. Lyu, X., Ding, Y., Yang, S.H.: Safety and security risk assessment in cyber-physical systems. IET Cyber-Phys. Syst.: Theor. Appl. 4(3), 221–232 (2019)

    Article  Google Scholar 

  29. Yuan, X., Anumba, C.J.: Cyber-physical systems for temporary structures monitoring. In: Cyber-Physical Systems in the Built Environment, pp. 107–138 (2020)

    Google Scholar 

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Correspondence to Fatemeh Afsharnia .

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Afsharnia, F. (2023). Risk and Reliability Analysis in the Era of Digital Transformation. In: Garg, H. (eds) Advances in Reliability, Failure and Risk Analysis. Industrial and Applied Mathematics. Springer, Singapore. https://doi.org/10.1007/978-981-19-9909-3_12

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