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Probabilistic risk analysis in manufacturing situational operation: application of modelling techniques and causal structure to improve safety performance.

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Probabilistic risk analysis in manufacturing situational operation: application of modelling techniques and causal structure to improve safety performance.

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Pereira, JC.; Alves Lima, GB. (2015). Probabilistic risk analysis in manufacturing situational operation: application of modelling techniques and causal structure to improve safety performance. International Journal of Production Management and Engineering. 3(1):33-42. doi:http://dx.doi.org/10.4995/ijpme.2015.3287.

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/50375

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Title: Probabilistic risk analysis in manufacturing situational operation: application of modelling techniques and causal structure to improve safety performance.
Author:
Issued date:
Abstract:
[EN] The use of probabilistic risk analysis in jet engines manufacturing process is essential to prevent failure. The objective of this study is to present a probabilistic risk analysis model to analyze the safety of this ...[+]
Subjects: Probabilistic Risk Analysis , Situation Model , Bayesian Belief Net-work
Copyrigths: Reconocimiento - No comercial (by-nc)
Source:
International Journal of Production Management and Engineering. (issn: 2340-5317 ) (eissn: 2340-4876 )
DOI: 10.4995/ijpme.2015.3287
Publisher:
Editorial Universitat Politècnica de València
Publisher version: https://doi.org/10.4995/ijpme.2015.3287
Type: Artículo

References

Clément, B., Haste, T., Krausmann, E., Dickinson, S., Gyenes, G., Duspiva, J., … Sartmadjiev, A. (2005). Thematic network for a Phebus FPT1 international standard problem (THENPHEBISP). Nuclear Engineering and Design, 235(2-4), 347-357. doi:10.1016/j.nucengdes.2004.08.057

Cooke, R.M. (1991). Experts in uncertainty. Opinion and subjective probability in science. Oxford University Press.

Kumamoto, H., Henley, E.J. (1996). Probabilistic risk assessment and management for engineers and scientists. IEEE Press. [+]
Clément, B., Haste, T., Krausmann, E., Dickinson, S., Gyenes, G., Duspiva, J., … Sartmadjiev, A. (2005). Thematic network for a Phebus FPT1 international standard problem (THENPHEBISP). Nuclear Engineering and Design, 235(2-4), 347-357. doi:10.1016/j.nucengdes.2004.08.057

Cooke, R.M. (1991). Experts in uncertainty. Opinion and subjective probability in science. Oxford University Press.

Kumamoto, H., Henley, E.J. (1996). Probabilistic risk assessment and management for engineers and scientists. IEEE Press.

Pereira, J. C., Lima, G. B. A., Sant'Anna, A. P., Peres, L., Pizzolato, N. (2014). Causal Model for Probabilistic Risk Analysis of Jet Engine Failure in Manufacturing Situational Operation (CAPEMO). International Journal of Engineering Science and Innovative Technology, 3(3): 701-717.

Petersen, D. (2000). Safety management our strengths & weaknesses. Professional Safety, 16-19.

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