This repository contains a discrete-event simulation study modeling patient flow through hospital wards and intensive care units (ICUs). The project analyzes congestion, diversion policies, and capacity utilization using Simio and scenario-based experimentation.
The work was completed in Fall 2022 as part of a Systems Modeling and Simulation course.
Hospitals must balance fluctuating patient arrivals with limited inpatient and ICU capacity. This project builds a detailed simulation model to examine:
- Patient arrival patterns and routing decisions
- Ward and ICU service-time distributions
- Queueing behavior and bed utilization
- Diversion thresholds under congestion
- Scenario comparisons across operating policies
Multiple experimental scenarios were run to evaluate how changes in capacity, thresholds, and demand affect throughput and waiting times.
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Hospital_Ward_ICU_Simulation_Report.pdf
Final written report describing assumptions, model structure, experiments, and findings. -
simio/hospital_flow_simio.spfx
The complete Simio project file. Download and open this file in Simio to run the model. -
simio/project-files/
Extracted project contents included for transparency and version control.
To explore the simulation:
- Install the Simio desktop application.
- Download
simio/hospital_flow_simio.spfx. - Open the file directly in Simio.
- Use the experiment panels to run scenarios and view results.
Large experiment output files were excluded from the repository to keep it lightweight. Summary results are provided in the report.
- Discrete-event simulation
- Queueing analysis
- Scenario experimentation
- Capacity planning
- Diversion-threshold evaluation
- Healthcare operations modeling
- Simio (desktop simulation environment)
- Experiment Manager and scenario runner
- Input modeling and distribution fitting (R and Excel)
- CSV/XLSX exports for analysis