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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

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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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Notation :

Main acronyms


Cyber-physical systems


Internet of Things


Information technology


Machine learning


Artificial neural networks


Artificial intelligence


International Telecommunication Union


Fault tree analysis


Failure modes and effects analysis


Hazard and operability methodology


Model-based engineering


Goal tree-success tree and master logic diagram


System theoretic process analysis


Confidentiality, integrity, and availability


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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.

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