| dc.description.abstract | Today, the demand for healthcare services has increased significantly. This phenomenon
results in the overloading of many hospitals, especically urban hospital. Thus, patients
confront multiple difficulties of having to wait so long for a consultation, and a standard
examination might take up for the entire day. To overcome that problem, a discrete event
simulation model simulating the real system of Children's Hospital 1 was built using
Arena simulation software to evaluate the system's behavior and patient flow. As a
result, based on the patients’ waiting time, the bottlenecks, where the patients flow is
slowed down, are identifed. After that, a schedule optimization model in the form of mix
integer linear programming model is developed to reassign the resources’ schedule so
that the waiting time is minimized. As a result, after solving the optimization model, the
resources’ schedules in simulation model will be changed, leading to the significant
decrease in patients’ total time and waiting time. Although the approach methods and
the solutions in this study may not be optimal and feasible to apply to solve real system
problems, it can be a suggested approach for future research. | en_US |
