Optimizing Resource Allocation using Simulation-Optimization Approach at Private Specialist Centre

Le résumé fourni par la source

Long waiting times refer to the prolonged length of time patients spend waiting for medical treatment. This is due to a lack of human resources or equipments such as doctors, nurses or treatment rooms. This study investigates the optimization of resources allocation in private specialist centre to address long waiting times and enhance operational efficiency. A simulation model was developed by using Discrete Event Simulation (DES) approach to represent the actual patient flow in the centre and identify system bottlenecks that contributed to the prolonged waiting times. To determine the most effective resource configuration, the DES model was optimized using the Simulation-Optimization capabilities of OptQuest in Arena software. The optimization process focused on minimizing the Total Average Waiting Time (TAWT) while adhering to operational constraints such as limited staff and equipment. The results significantly improved the Total Average Waiting Time (TAWT) by 52.74%, reduction from 234.26 minutes to 110.71 minutes. This finding highlights the effectiveness of Simulation-Optimization approach in healthcare resource planning and offers valuable insights for optimizing operations in private specialist centres as well as reducing the congestion.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.