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Related Experiment Video

Updated: Feb 15, 2026

Principles of Rodent Surgery for the New Surgeon

Principles of Rodent Surgery for the New Surgeon

Published on: January 6, 2011

Operating room scheduling and surgeon assignment problem under surgery durations uncertainty.

Hongwei Liu, Tianyi Zhang, Shuai Luo

Technology and Health Care : Official Journal of the European Society for Engineering and Medicine

|January 15, 2018

Summary

This summary is machine-generated.

This study introduces a practical surgery scheduling model to optimize operating room (OR) utilization and reduce costs. The proposed method effectively manages ORs and surgeons, improving efficiency and satisfaction.

Keywords:

OR scheduling sample average approximation stochastic programming surgeon assignment

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Area of Science:

Healthcare Management
Operations Research
Hospital Administration

Background:

Chinese hospitals face challenges balancing healthcare demand and supply.
Operating theatres are critical bottlenecks and high-cost centers.
Effective surgery scheduling is essential for efficient hospital management.

Purpose of the Study:

To enhance operating theatre (OR) utilization and decrease costs.
To improve surgeon satisfaction through better scheduling.
To provide a practical surgery scheduling model for hospital managers.

Main Methods:

Predicting surgery durations by fitting distribution models.
Developing a two-step mixed integer programming model.
Utilizing the Sample Average Approximation (SAA) method to address duration uncertainty.

Main Results:

Surgery durations were found to follow log-normal distributions.
The proposed model and SAA method yielded effective solutions across various sample sizes.
Numerical experiments validated the model's performance.

Conclusions:

The model incorporates real-life constraints and duration uncertainty.
The scheduling model is highly practical for hospital implementation.
Increasing the number of surgeons stabilizes and reduces average OR overtime, offering insights for OR management.