RSUSCI-2022 & RSUSOC-2022

IN22-089 Prioritized factors of decision making of medical equipment analyzer purchasing by using fuzzy analytic hierarchy process: a case study of Health Service Support department

Presenter: Wittita Pannao
Biomedical Engineering, College of Biomedical Engineering, Rangsit

Abstract

The objective of this research is to prioritize the criteria that impact the decision to acquire medical equipment analyzers. By using a fuzzy hierarchical analysis process to gather judgment from experts with accountabilities aligned with the organizational structure and more than two decades of experience in the Department of Health Service Support’s medical device calibration mission. The study’s findings indicate that the seven major criteria were weighted in descending order: (1) Diagnostic failures 24.34 percent, (2) Impact on tested services 21.69 percent, (3) Analyzer age 15.41 percent, (4) After-sales support 13.39 percent, (5) Analyzer-related costs 9.42 percent, (6) Preferences for staff 8.25 percent, and (7) Tested medical equipment 7.49 percent. The consistency ratio (C.R.) for the primary judgment criterion was 0.03, which is satisfactory. However, based on the net score weights of the 16 sub-criteria, it was determined that the backup equipment sub-criteria has the highest priority at 11.76 percent, while the type of tested medical equipment has the lowest value at 0.96 percent.

Citation format:

Pannao, W., Boonyagul, S., Wongkamhang, A., & Nirapai, A.. (2022). Prioritized factors of decision making of medical equipment analyzer purchasing by using fuzzy analytic hierarchy process: a case study of Health Service Support department. Proceeding in RSU International Research Conference, April 30, 2022. Pathum Thani, Thailand.