HIERARCHICAL EXPERT-BASED ASSESSMENT OF FACTORS AFFECTING THE OPERATIONAL EFFICIENCY OF MEDICAL EQUIPMENT

Authors

  • Talat Magrupov Department of Biomedical Engineering. Tashkent State Technical University named after Islam Karimov. Tashkent, Uzbekistan
  • Maloxat Magrupova Department of Biomedical Engineering. Tashkent State Technical University named after Islam Karimov. Tashkent, Uzbekistan
  • Seit Abdihalikov Department of Intellectual Systems. Joint Belarusian-Uzbek Intersectoral Institute of Applied Technical Qualifications in Tashkent. Tashkent, Uzbekistan

DOI:

https://doi.org/10.5281/zenodo.23672800

Abstract

This study presents a comprehensive methodology for evalu-ating the operational efficiency of medical equipment based on a hierarchical expert model and the Analytic Hierarchy Process (AHP). The proposed approach integrates technical, operatio-anl, and organizational factors into a unified quantitative indica-tor. A structured algorithm for expertas sessment, consistency control, and weight coefficient calculation is developed. The methodology is validated using computed tomography (CT) systems as a case study. The results demonstrate that equipment reliability and technical condition exert dominan tinfluence on operational efficiency. The proposed framework provides a systematic and reproducible tool for supporting technical man-agement decisions in healthcare institutions .
Keywords medical equipmentoperational efficiencyexpert evaluationanalytic hierarchy processreliabilitycomputed tomography.

References

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Published

2026-07-07

How to Cite

Talat, M., Maloxat, M., & Seit, A. (2026). HIERARCHICAL EXPERT-BASED ASSESSMENT OF FACTORS AFFECTING THE OPERATIONAL EFFICIENCY OF MEDICAL EQUIPMENT. Economics and Innovative Technologies, 14(3), 126–132. https://doi.org/10.5281/zenodo.23672800

Issue

Vol. 14 No. 3 (2026): "Economics and Innovative Technologies"

Section

Статьи

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

DOI

https://doi.org/10.5281/zenodo.23672800

Pages

126-132

Citation

Open in Google Scholar