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

Resultado de la investigación: Capítulo en Libro/Reporte/ConferenciaContribución a la conferencia

1 Cita (Scopus)

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 originalInglés estadounidense
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
EstadoPublicada - 2017
Evento7th Latin American Congress on Biomedical Engineering, CLAIB 2016 - Bucaramanga, Santander, Colombia
Duración: oct 26 2016oct 28 2016

Conferencia

Conferencia7th Latin American Congress on Biomedical Engineering, CLAIB 2016
PaísColombia
CiudadBucaramanga, Santander
Período10/26/1610/28/16

    Huella digital

All Science Journal Classification (ASJC) codes

  • Ingeniería biomédica
  • Bioingeniería

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