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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish (US)
Title of host publication7th Latin American Congress on Biomedical Engineering, CLAIB 2016
PublisherSpringer
Pages9-12
Number of pages4
Volume60
ISBN (Print)9789811040856
DOIs
StatePublished - 2017
Event7th Latin American Congress on Biomedical Engineering, CLAIB 2016 - Bucaramanga, Santander, Colombia
Duration: Oct 26 2016Oct 28 2016

Conference

Conference7th Latin American Congress on Biomedical Engineering, CLAIB 2016
CountryColombia
CityBucaramanga, Santander
Period10/26/1610/28/16

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Bioengineering

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