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

Antonio Miguel Cruz; William Ricardo Rodriguez Dueñas

doi:10.1007/978-981-10-4086-3_3

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

Antonio Miguel Cruz, William Ricardo Rodriguez Dueñas

Producción científica: Capítulo en Libro/Informe › Contribución 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 original	Inglés estadounidense
Título de la publicación alojada	7th Latin American Congress on Biomedical Engineering, CLAIB 2016
Editorial	Springer
Páginas	9-12
Número de páginas	4
Volumen	60
ISBN (versión impresa)	9789811040856
DOI	https://doi.org/10.1007/978-981-10-4086-3_3
Estado	Publicada - 2017
Evento	7th Latin American Congress on Biomedical Engineering, CLAIB 2016 - Bucaramanga, Santander, Colombia Duración: oct. 26 2016 → oct. 28 2016

Conferencia

Conferencia	7th Latin American Congress on Biomedical Engineering, CLAIB 2016
País/Territorio	Colombia
Ciudad	Bucaramanga, Santander
Período	10/26/16 → 10/28/16

Áreas temáticas de ASJC Scopus

Ingeniería biomédica
Bioingeniería

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10.1007/978-981-10-4086-3_3

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@inproceedings{f470437cfa16476ead099683bd056d32,

title = "Estimation of the optimal maintenance frequency of medical devices: A monte carlo simulation approach",

abstract = "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{\textquoteright}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.",

author = "Cruz, {Antonio Miguel} and Due{\~n}as, {William Ricardo Rodriguez}",

year = "2017",

doi = "10.1007/978-981-10-4086-3_3",

language = "English (US)",

isbn = "9789811040856",

volume = "60",

pages = "9--12",

booktitle = "7th Latin American Congress on Biomedical Engineering, CLAIB 2016",

publisher = "Springer",

address = "Germany",

note = "7th Latin American Congress on Biomedical Engineering, CLAIB 2016 ; Conference date: 26-10-2016 Through 28-10-2016",

}

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, 7th Latin American Congress on Biomedical Engineering, CLAIB 2016, Bucaramanga, Santander, Colombia, 10/26/16. https://doi.org/10.1007/978-981-10-4086-3_3

TY - GEN

T1 - Estimation of the optimal maintenance frequency of medical devices

T2 - 7th Latin American Congress on Biomedical Engineering, CLAIB 2016

AU - Cruz, Antonio Miguel

AU - Dueñas, William Ricardo Rodriguez

PY - 2017

Y1 - 2017

N2 - 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.

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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DO - 10.1007/978-981-10-4086-3_3

M3 - Conference contribution

AN - SCOPUS:85018447474

SN - 9789811040856

VL - 60

SP - 9

EP - 12

BT - 7th Latin American Congress on Biomedical Engineering, CLAIB 2016

PB - Springer

Y2 - 26 October 2016 through 28 October 2016

ER -

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

Resumen

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