Abstract
Selecting optimal medical equipment is a complex decision involving multiple criteria. This study aimed to assess the sensitivity of equipment selection outcomes to variations in both offer parameters and criteria weights in the context of a magnetic resonance imaging scanner selection where the analytic hierarchy process was used. The analysis involves a 2-pronged approach: (1) systematically modifying parameters of the winning offer to assess rank stability and (2) conducting a Monte Carlo simulation to evaluate the impact of varying criteria weights on the final ranking. Results indicated that although the winning offer generally maintained its rank, weight assignment, parameters variability, data preprocessing, and threshold definition exerted significant influence. These findings underscore the importance of conducting comprehensive sensitivity analyses to mitigate decision risks in medical equipment selection.
Published Version
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