Estimation of the optimal maintenance frequency of medical devices: A monte carlo simulation approach

Resultado de la investigación: Contribución a libro /Tipo informe o reporteContribución en conferencia

Resumen

This paper aims to implement and validate a Monte Carlo-based algorithm to determine the optimal interval of preventive maintenance of medical devices. The optimization criterion used was that which maximizes the equipment’s achieved availability. The Monte Carlo algorithm was implemented and tested using maintenance data from infusion pumps, electrocardiographs, and ECG monitors from both primary and secondary data source of information. The performance of the algorithm behaved well; it had a 65-sec response time for 10,000 simulations. The accuracy of the calculations did not exceed 1%. In addition to that, the implementation of the Monte Carlo algorithm was able to determine the better availability curve for the interval of preventive maintenance “tuned” with the mean time to failure for each medical devices population type.

Idioma originalEnglish (US)
Título de la publicación alojada7th Latin American Congress on Biomedical Engineering, CLAIB 2016
EditorialSpringer
Páginas9-12
Número de páginas4
Volumen60
ISBN (versión impresa)9789811040856
DOI
EstadoPublished - 2017
Evento7th Latin American Congress on Biomedical Engineering, CLAIB 2016 - Bucaramanga, Santander
Duración: oct 26 2016oct 28 2016

Conference

Conference7th Latin American Congress on Biomedical Engineering, CLAIB 2016
PaísColombia
CiudadBucaramanga, Santander
Período10/26/1610/28/16

Huella dactilar

Preventive maintenance
Availability
Electrocardiography
Pumps
Monte Carlo simulation

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Bioengineering

Citar esto

Cruz, A. M., & Dueñas, W. R. R. (2017). Estimation of the optimal maintenance frequency of medical devices: A monte carlo simulation approach. En 7th Latin American Congress on Biomedical Engineering, CLAIB 2016 (Vol. 60, pp. 9-12). Springer. https://doi.org/10.1007/978-981-10-4086-3_3
Cruz, Antonio Miguel ; Dueñas, William Ricardo Rodriguez. / Estimation of the optimal maintenance frequency of medical devices : A monte carlo simulation approach. 7th Latin American Congress on Biomedical Engineering, CLAIB 2016. Vol. 60 Springer, 2017. pp. 9-12
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Cruz, AM & Dueñas, WRR 2017, Estimation of the optimal maintenance frequency of medical devices: A monte carlo simulation approach. En 7th Latin American Congress on Biomedical Engineering, CLAIB 2016. vol. 60, Springer, pp. 9-12, Bucaramanga, Santander, 10/26/16. https://doi.org/10.1007/978-981-10-4086-3_3

Estimation of the optimal maintenance frequency of medical devices : A monte carlo simulation approach. / Cruz, Antonio Miguel; Dueñas, William Ricardo Rodriguez.

7th Latin American Congress on Biomedical Engineering, CLAIB 2016. Vol. 60 Springer, 2017. p. 9-12.

Resultado de la investigación: Contribución a libro /Tipo informe o reporteContribución en conferencia

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AB - This paper aims to implement and validate a Monte Carlo-based algorithm to determine the optimal interval of preventive maintenance of medical devices. The optimization criterion used was that which maximizes the equipment’s achieved availability. The Monte Carlo algorithm was implemented and tested using maintenance data from infusion pumps, electrocardiographs, and ECG monitors from both primary and secondary data source of information. The performance of the algorithm behaved well; it had a 65-sec response time for 10,000 simulations. The accuracy of the calculations did not exceed 1%. In addition to that, the implementation of the Monte Carlo algorithm was able to determine the better availability curve for the interval of preventive maintenance “tuned” with the mean time to failure for each medical devices population type.

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Cruz AM, Dueñas WRR. Estimation of the optimal maintenance frequency of medical devices: A monte carlo simulation approach. En 7th Latin American Congress on Biomedical Engineering, CLAIB 2016. Vol. 60. Springer. 2017. p. 9-12 https://doi.org/10.1007/978-981-10-4086-3_3