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.idea
.idea
 
 
Flowcharts
Flowcharts
 
 
Phase I.pdf
Phase I.pdf
 
 
Phase II.pdf
Phase II.pdf
 
 
Phase III.pdf
Phase III.pdf
 
 
README.md
README.md
 
 
Report.pdf
Report.pdf
 
 
Warm-up analysis - 1st System.svg
Warm-up analysis - 1st System.svg
 
 
Warm-up analysis - 2nd System.svg
Warm-up analysis - 2nd System.svg
 
 
base.py
base.py
 
 
get_result.py
get_result.py
 
 
output.xlsx
output.xlsx
 
 
sensitivity_Lq_Preoperative_vs_Normal Arrival Exp Param.svg
sensitivity_Lq_Preoperative_vs_Normal Arrival Exp Param.svg
 
 
sensitivity_average_time_in_system_vs_Normal Arrival Exp Param.svg
sensitivity_average_time_in_system_vs_Normal Arrival Exp Param.svg
 
 
sensitivity_immediately_admitted_emergency_patients_percentage_vs_Emergency Capacity.svg
sensitivity_immediately_admitted_emergency_patients_percentage_vs_Emergency Capacity.svg
 
 
sensitivity_rho_Emergency_vs_Emergency Capacity.svg
sensitivity_rho_Emergency_vs_Emergency Capacity.svg
 
 
sensitivity_rho_Laboratory_vs_Normal Laboratory Param.svg
sensitivity_rho_Laboratory_vs_Normal Laboratory Param.svg
 
 
simulation_results.xlsx
simulation_results.xlsx
 
 
surgery_data.xlsx
surgery_data.xlsx
 
 
systems_comparison_table.xlsx
systems_comparison_table.xlsx
 
 
warm_up_analysis.py
warm_up_analysis.py
 
 

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Simulation-Project

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Multi-queue Hospital Simulation: Python-based modeling and optimization of a multi-queue system. Includes statistical parameter estimation, data analysis, distribution fitting, and sensitivity analysis to evaluate policy impacts on custom KPIs. Tech: Pandas, NumPy, SciPy, Matplotlib, Seaborn.

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data-analysisdiscrete-event-simulationoperations-researchoptimizationqueueing-theory

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