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Integrating multi-criteria decision making and simulation modelling to improve health referral processing

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  • Mohammed A. Mahyoub

Abstract

This research introduces an integrated framework that combines the fuzzy analytic hierarchy process (FAHP) and discrete-event simulation (DES) for process improvement in the healthcare sector. By considering multiple criteria and uncertainties, the framework provides a systematic approach to selecting and evaluating optimal process improvement policies. A case study focusing on enhancing a health referral processing unit (HRPU) validates the effectiveness of the framework. Simulation experiments reveal significant reductions in average delay time (ADT) and average time in the system (ATIS) for specific alternatives. The FAHP-DES method ranks improvement policies based on multiple criteria, leading to the identification of the best alternative. This integrated approach offers a comprehensive methodology for healthcare process improvement, emphasising the importance of systematic decision-making to achieve substantial improvements.

Suggested Citation

  • Mohammed A. Mahyoub, 2025. "Integrating multi-criteria decision making and simulation modelling to improve health referral processing," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 24(2), pages 107-131.
    • Handle: RePEc:ids:ijmdma:v:24:y:2025:i:2:p:107-131
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