A Simulation-Based Optimization Evaluation of Operating Room in Healthcare under Limitation Capacity: A Multi-objective Approaches

Authors

DOI:

https://doi.org/10.31181/sems2120247h

Keywords:

Operating Rooms, Scheduling, Simulation-Based Optimization, Healthcare Operations, Multi-Objective Optimization

Abstract

Operating room scheduling comprises determining the specific start timings for surgeries and allocating the necessary resources to each scheduled surgery. It takes into account multiple limitations to ensure a comprehensive surgical process, including the availability of resources, specialties, and restrictions. Several surgeons have different specialties, and each has a waiting list of patients whose surgeries must be scheduled on the days the surgeons are in one of the operating rooms. In addressing this matter, two objectives are taken into account: minimizing expenses associated with overtime and unutilized operating rooms, while maximizing the number of days patients wait for surgery. The resolution of this problem involves two approaches: mathematical modeling and optimization through simulation-based methods. The findings indicate that when addressing the operating room scheduling issue, the simulation-based optimization solution matches the quality of the solution provided by the mathematical model for smaller problems and offers a timely and satisfactory solution for larger-scale problems.

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References

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Published

2024-07-16

How to Cite

Ala, A. (2024). A Simulation-Based Optimization Evaluation of Operating Room in Healthcare under Limitation Capacity: A Multi-objective Approaches. Spectrum of Engineering and Management Sciences, 2(1), 85-99. https://doi.org/10.31181/sems2120247h

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