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A Bayesian two-stage approach to integrate simulator data and expert judgment in human error probability estimation
Greco, S. F., Podofillini, L., & Dang, V. N. (2023). A Bayesian two-stage approach to integrate simulator data and expert judgment in human error probability estimation. Safety Science, 159, 106009 (19 pp.). https://doi.org/10.1016/j.ssci.2022.106009
A human operator model for simulation-based resilience assessment of power grid restoration operations
Kottmann, F., Kyriakidis, M., Sansavini, G., & Dang, V. (2023). A human operator model for simulation-based resilience assessment of power grid restoration operations. Reliability Engineering and System Safety, 238, 109450 (18 pp.). https://doi.org/10.1016/j.ress.2023.109450
A traceable process to develop Bayesian networks from scarce data and expert judgment: a human reliability analysis application
Podofillini, L., Reer, B., & Dang, V. N. (2023). A traceable process to develop Bayesian networks from scarce data and expert judgment: a human reliability analysis application. Reliability Engineering and System Safety, 230, 108903 (17 pp.). https://doi.org/10.1016/j.ress.2022.108903
A Bayesian model to treat within-category and crew-to-crew variability in simulator data for Human Reliability Analysis
Greco, S. F., Podofillini, L., & Dang, V. N. (2021). A Bayesian model to treat within-category and crew-to-crew variability in simulator data for Human Reliability Analysis. Reliability Engineering and System Safety, 206, 107309 (19 pp.). https://doi.org/10.1016/j.ress.2020.107309
Crew performance variability in human error probability quantification: a methodology based on behavioral patterns from simulator data
Greco, S. F., Podofillini, L., & Dang, V. N. (2021). Crew performance variability in human error probability quantification: a methodology based on behavioral patterns from simulator data. Proceedings of the Institution of Mechanical Engineers, Part O: Journal or Risk and Reliability, 235(4), 637-659. https://doi.org/10.1177/1748006X20986743
Enhancing infrastructure resilience by using dynamically updated damage estimates in optimal repair planning: the power grid case
Kottmann, F., Kyriakidis, M., Dang, V. N., & Sansavini, G. (2021). Enhancing infrastructure resilience by using dynamically updated damage estimates in optimal repair planning: the power grid case. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 7(4), 04021048 (15 pp.). https://doi.org/10.1061/AJRUA6.0001159
A scoping method for human performance integrity and reliability assessment in process industries
Kyriakidis, M., & Dang, V. N. (2021). A scoping method for human performance integrity and reliability assessment in process industries. Process Safety Progress, 40(4), 224-233. https://doi.org/10.1002/prs.12260
Analysis of recent operational events involving inappropriate actions: influencing factors and root causes
Podofillini, L., Reer, B., & Dang, V. N. (2021). Analysis of recent operational events involving inappropriate actions: influencing factors and root causes. Reliability Engineering and System Safety, 216, 108013 (20 pp.). https://doi.org/10.1016/j.ress.2021.108013
Incorporating human factors in emergency evacuation - an overview of behavioral factors and models
Wang, Y., Kyriakidis, M., & Dang, V. N. (2021). Incorporating human factors in emergency evacuation - an overview of behavioral factors and models. International Journal of Disaster Risk Reduction, 60, 102254 (15 pp.). https://doi.org/10.1016/j.ijdrr.2021.102254
Crew performance variability in simulator data for human reliability analysis: investigation of modelling options
Greco, S. F., Podofillini, L., & Dang, V. N. (2020). Crew performance variability in simulator data for human reliability analysis: investigation of modelling options. In M. Beer & E. Zio (Eds.), Proceedings of the 29th European safety and reliability conference (ESREL) (pp. 240-247). https://doi.org/10.3850/978-981-11-2724-3_0722-cd
Modelling crew performance variability in emergency situations from simulator data for human reliability analysis
Greco, S. F., Podofillini, L., & Dang, V. N. (2020). Modelling crew performance variability in emergency situations from simulator data for human reliability analysis. In P. Baraldi, F. Di Maio, & E. Zio (Eds.), Proceedings of the 30th European safety and reliability conference and the 15th probabilistic safety assessment and management conference (pp. 2624-2631). https://doi.org/10.3850/978-981-14-8593-0_4897-cd
Quantification of a human reliability analysis method for radiotherapy applications based on expert judgment aggregation
Pandya, D., Podofillini, L., Emert, F., Lomax, A. J., Dang, V. N., & Sansavini, G. (2020). Quantification of a human reliability analysis method for radiotherapy applications based on expert judgment aggregation. Reliability Engineering and System Safety, 194, 106489 (22 pp.). https://doi.org/10.1016/j.ress.2019.05.001
An analysis of recent operational events involving errors of commission
Podofillini, L., & Dang, V. N. (2020). An analysis of recent operational events involving errors of commission. In M. Beer & E. Zio (Eds.), Proceedings of the 29th European safety and reliability conference (ESREL) (pp. 199-206). https://doi.org/10.3850/978-981-11-2724-3_0728-cd
OECD/NEA WGRISK: overview on ongoing and potential future activities
Roewekamp, M., Ahn, K. I., Shin, S. M., Bareith, A., Dang, V. N., & Porthin, M. (2020). OECD/NEA WGRISK: overview on ongoing and potential future activities. In P. Baraldi, F. Di Maio, & E. Zio (Eds.), Proceedings of the 30th European safety and reliability conference and the 15th probabilistic safety assessment and management conference (pp. 4106-4110). https://doi.org/10.3850/978-981-14-8593-0_4950-cd
Early-design improvement of human reliability in an experimental facility: a combined approach and application on SPES
Giardina, M., Buffa, P., Dang, V., Greco, S. F., Podofillini, L., & Prete, G. (2019). Early-design improvement of human reliability in an experimental facility: a combined approach and application on SPES. Safety Science, 119, 300-314. https://doi.org/10.1016/j.ssci.2018.08.008
Human performance, levels of service and system resilience
Kyriakidis, M., & Dang, V. N. (2019). Human performance, levels of service and system resilience. In S. Wiig & B. Fahlbruch (Eds.), SpringerBriefs in applied sciences and technology. Saftey management. Exploring resilience. A scientific journey from practice to theory (pp. 41-49). https://doi.org/10.1007/978-3-030-03189-3
Assessment of HRA method predictions against operating crew performance: part I: study background, design and methodology
Liao, H., Forester, J., Dang, V. N., Bye, A., Chang, Y. H. J., & Lois, E. (2019). Assessment of HRA method predictions against operating crew performance: part I: study background, design and methodology. Reliability Engineering and System Safety, 191, 106509 (6 pp.). https://doi.org/10.1016/j.ress.2019.106509
Assessment of HRA method predictions against operating crew performance: part II: overall simulator data, HRA method predictions, and intra-method comparisons
Liao, H., Forester, J., Dang, V. N., Bye, A., Chang, Y. H. J., & Lois, E. (2019). Assessment of HRA method predictions against operating crew performance: part II: overall simulator data, HRA method predictions, and intra-method comparisons. Reliability Engineering and System Safety, 191, 106510 (7 pp.). https://doi.org/10.1016/j.ress.2019.106510
Assessment of HRA method predictions against operating crew performance: part III: conclusions and achievements
Liao, H., Forester, J., Dang, V. N., Bye, A., Chang, Y. H. J., & Lois, E. (2019). Assessment of HRA method predictions against operating crew performance: part III: conclusions and achievements. Reliability Engineering and System Safety, 191, 106511 (10 pp.). https://doi.org/10.1016/j.ress.2019.106511
A comparison of dynamic event tree methods - case study on a chemical batch reactor
Karanki, D. R., Dang, V. N., MacMillan, M. T., & Podofillini, L. (2018). A comparison of dynamic event tree methods - case study on a chemical batch reactor. Reliability Engineering and System Safety, 169, 542-553. https://doi.org/10.1016/j.ress.2017.10.003
 

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