Safety, Risk, Reliability and Quality

This interdisciplinary field addresses hazard analysis, probabilistic risk assessment and system reliability modelling for engineering applications. Research on fault‐tree analysis, Monte Carlo simulation and Bayesian networks quantifies failure probabilities and supports decision‐making under uncertainty. Contributions on human factors engineering, safety culture metrics and quality-management frameworks inform organisational best practices. Case studies in aerospace, nuclear or process industries illustrate risk mitigation strategies and reliability-centered maintenance. Novel methods for real-time monitoring, anomaly detection and prognostics enhance operational safety and asset integrity.