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

Universidad del Rosario

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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’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.

Original language	English
Title of host publication	7th Latin American Congress on Biomedical Engineering, CLAIB 2016
Editors	John Bustamante, Daniel A. Sierra, Isnardo Torres
Publisher	Springer Verlag
Pages	9-12
Number of pages	4
ISBN (Print)	9789811040856
DOIs	https://doi.org/10.1007/978-981-10-4086-3_3
State	Published - 2017
Externally published	Yes
Event	7th Latin American Congress on Biomedical Engineering, CLAIB 2016 - Bucaramanga, Santander, Colombia Duration: 26 Oct 2016 → 28 Oct 2016

Publication series

Name	IFMBE Proceedings
Volume	60
ISSN (Print)	1680-0737

Conference

Conference	7th Latin American Congress on Biomedical Engineering, CLAIB 2016
Country/Territory	Colombia
City	Bucaramanga, Santander
Period	26/10/16 → 28/10/16

Keywords

Biomedical engineering
Component: Monte Carlo simulation
Maintenance optmization
Preventive maintenance frequency

Access to Document

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

Cite this

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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.",

keywords = "Biomedical engineering, Component: Monte Carlo simulation, Maintenance optmization, Preventive maintenance frequency",

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

note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2017.; 7th Latin American Congress on Biomedical Engineering, CLAIB 2016 ; Conference date: 26-10-2016 Through 28-10-2016",

year = "2017",

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

language = "English",

isbn = "9789811040856",

series = "IFMBE Proceedings",

publisher = "Springer Verlag",

pages = "9--12",

editor = "John Bustamante and Sierra, \{Daniel A.\} and Isnardo Torres",

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

address = "Germany",

}

Cruz, AM & Dueñas, WRR 2017, Estimation of the optimal maintenance frequency of medical devices: A monte carlo simulation approach. in J Bustamante, DA Sierra & I Torres (eds), 7th Latin American Congress on Biomedical Engineering, CLAIB 2016. IFMBE Proceedings, vol. 60, Springer Verlag, pp. 9-12, 7th Latin American Congress on Biomedical Engineering, CLAIB 2016, Bucaramanga, Santander, Colombia, 26/10/16. 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. ed. / John Bustamante; Daniel A. Sierra; Isnardo Torres. Springer Verlag, 2017. p. 9-12 (IFMBE Proceedings; Vol. 60).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

N1 - Publisher Copyright: © Springer Nature Singapore Pte Ltd. 2017.

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.

KW - Biomedical engineering

KW - Component: Monte Carlo simulation

KW - Maintenance optmization

KW - Preventive maintenance frequency

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

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AN - SCOPUS:85018447474

SN - 9789811040856

T3 - IFMBE Proceedings

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

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PB - Springer Verlag

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ER -

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

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Keywords

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