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A heuristic algorithm for medical staff's scheduling problems with multiskills and vacation control.
Peng-Sheng You1, Yi-Chih Hsieh2
1Department of Business Administration, 63107National Chiayi University.
Science Progress
|October 18, 2021
Summary
This study presents an optimized approach for medical staff scheduling and vacation control, effectively balancing staff skills, preferences, and operational costs for better healthcare efficiency.
Area of Science:
- Operations Research
- Healthcare Management
- Computer Science
Background:
- Effective medical staff scheduling is crucial for hospital operations.
- Current methods struggle to optimize multiskilling and vacation preferences simultaneously.
Purpose of the Study:
- To develop an optimized duty scheduling and vacation permission system for medical staff.
- To minimize costs associated with patient waiting, staff overtime, and unmet vacation requests.
Main Methods:
- Formulated the problem as a multiperiod mixed integer nonlinear programming model.
- Developed a hybrid heuristic combining genetic algorithms and linear programming.
Main Results:
- The proposed hybrid heuristic efficiently solved complex scheduling problems.
- Outperformed Lingo optimization software in finding superior solutions for larger problem instances.
Conclusions:
- The developed approach effectively addresses medical staff scheduling and vacation control.
- Provides efficient compromise solutions superior to existing optimization software.
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