Model development to improve the predictive maintenance reliability of medical devices
Medical devices are essential in healthcare, and their availability and reliability are critical for quality service. In most Saudi hospitals, maintenance schedules for these devices follow manufacturer recommendations, which often do not account for Saudi Arabia's unique climate and lifestyle...
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| Format: | Article |
| Language: | English |
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Lublin University of Technology
2025-03-01
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| Series: | Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska |
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| Online Access: | https://ph.pollub.pl/index.php/iapgos/article/view/6459 |
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| _version_ | 1850061094833356800 |
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| author | Khalid Musallam Alahmadi Essam Rabea Ibrahim Mahmoud Fitrian Imaduddin |
| author_facet | Khalid Musallam Alahmadi Essam Rabea Ibrahim Mahmoud Fitrian Imaduddin |
| author_sort | Khalid Musallam Alahmadi |
| collection | DOAJ |
| description |
Medical devices are essential in healthcare, and their availability and reliability are critical for quality service. In most Saudi hospitals, maintenance schedules for these devices follow manufacturer recommendations, which often do not account for Saudi Arabia's unique climate and lifestyle. This research introduces a mathematical model to optimize maintenance schedules tailored to Saudi conditions. Three governmental hospitals in Riyadh, Jeddah, and Madinah were selected for a case study. The research developed the Medical Equipment Maintenance Prioritization Factor (MEMPF) model to enhance maintenance schedules. This model uses ten parameters: device function, failure consequence risk, maintenance complexity, device age, utilization rate, failure frequency, maintenance/repair cost, causes of downtime, backup availability, and downtime duration. These parameters were weighted based on their importance. The model was tested on a dataset of 3,640 medical devices from 54 healthcare sections. The outcomes defined maintenance priorities for each device based on the MEMPF value, categorizing them into high, moderate, low, and very low priority. Implementing this model in the case study hospitals could reduce maintenance costs by 36% over ten years.
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| format | Article |
| id | doaj-art-b1b8f156de3e47118544febd6b33fe7f |
| institution | DOAJ |
| issn | 2083-0157 2391-6761 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Lublin University of Technology |
| record_format | Article |
| series | Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska |
| spelling | doaj-art-b1b8f156de3e47118544febd6b33fe7f2025-08-20T02:50:22ZengLublin University of TechnologyInformatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska2083-01572391-67612025-03-0115110.35784/iapgos.6459Model development to improve the predictive maintenance reliability of medical devicesKhalid Musallam Alahmadi0https://orcid.org/0009-0004-4162-2436Essam Rabea Ibrahim Mahmoud1Fitrian Imaduddin2https://orcid.org/0000-0001-6478-018XIslamic University of Madinah, Faculty of Engineering, Department of Mechanical EngineeringIslamic University of Madinah, Faculty of Engineering, Department of Mechanical EngineeringIslamic University of Madinah, Faculty of Engineering, Department of Mechanical Engineering; Universitas Sebelas Maret, Faculty of Engineering, Department of Mechanical Engineering Medical devices are essential in healthcare, and their availability and reliability are critical for quality service. In most Saudi hospitals, maintenance schedules for these devices follow manufacturer recommendations, which often do not account for Saudi Arabia's unique climate and lifestyle. This research introduces a mathematical model to optimize maintenance schedules tailored to Saudi conditions. Three governmental hospitals in Riyadh, Jeddah, and Madinah were selected for a case study. The research developed the Medical Equipment Maintenance Prioritization Factor (MEMPF) model to enhance maintenance schedules. This model uses ten parameters: device function, failure consequence risk, maintenance complexity, device age, utilization rate, failure frequency, maintenance/repair cost, causes of downtime, backup availability, and downtime duration. These parameters were weighted based on their importance. The model was tested on a dataset of 3,640 medical devices from 54 healthcare sections. The outcomes defined maintenance priorities for each device based on the MEMPF value, categorizing them into high, moderate, low, and very low priority. Implementing this model in the case study hospitals could reduce maintenance costs by 36% over ten years. https://ph.pollub.pl/index.php/iapgos/article/view/6459Maintenance management predictive maintenance medical devices predictive maintenance model |
| spellingShingle | Khalid Musallam Alahmadi Essam Rabea Ibrahim Mahmoud Fitrian Imaduddin Model development to improve the predictive maintenance reliability of medical devices Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska Maintenance management predictive maintenance medical devices predictive maintenance model |
| title | Model development to improve the predictive maintenance reliability of medical devices |
| title_full | Model development to improve the predictive maintenance reliability of medical devices |
| title_fullStr | Model development to improve the predictive maintenance reliability of medical devices |
| title_full_unstemmed | Model development to improve the predictive maintenance reliability of medical devices |
| title_short | Model development to improve the predictive maintenance reliability of medical devices |
| title_sort | model development to improve the predictive maintenance reliability of medical devices |
| topic | Maintenance management predictive maintenance medical devices predictive maintenance model |
| url | https://ph.pollub.pl/index.php/iapgos/article/view/6459 |
| work_keys_str_mv | AT khalidmusallamalahmadi modeldevelopmenttoimprovethepredictivemaintenancereliabilityofmedicaldevices AT essamrabeaibrahimmahmoud modeldevelopmenttoimprovethepredictivemaintenancereliabilityofmedicaldevices AT fitrianimaduddin modeldevelopmenttoimprovethepredictivemaintenancereliabilityofmedicaldevices |