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Developing three-phase modified bat algorithms to solve medical staff scheduling problems while considering minimal
Ping-Shun Chen1, Chia-Che Tsai1, Jr-Fong Dang2,3
1Department of Industrial and Systems Engineering, Chung Yuan Christian University, Taoyuan, Taiwan.
Summary
This study introduces modified bat algorithms (BAs) to optimize medical staff scheduling by balancing preferences and workload. The BA3 variant demonstrated superior performance in minimizing staff dissatisfaction and ensuring equitable workload distribution.
Area of Science:
- Operations Research
- Healthcare Management
- Algorithm Optimization
Background:
- Addresses complex medical staff scheduling problems.
- Incorporates government and hospital regulations (hard constraints).
- Considers medical staff preferences (soft constraints).
Purpose of the Study:
- Minimize violations of medical staff preferences.
- Develop efficient algorithms for staff scheduling.
- Ensure balanced workload among medical staff.
Main Methods:
- Developed three variants of the three-phase modified bat algorithms (BA1, BA2, BA3).
- Ensured satisfaction of hard constraints and minimization of soft constraint violations.
- Achieved workload balance without increasing objective function values.
Main Results:
- BA3 significantly outperformed BA1, BA2, and particle swarm optimization (PSO).
- Demonstrated the robustness of the developed bat algorithm variants.
- Validated the effectiveness of the proposed scheduling approach.
Conclusions:
- The developed framework offers a reference for hospital staff scheduling.
- Highlights the potential of modified bat algorithms in healthcare optimization.
- Suggests future research directions in medical staff scheduling.
Keywords:
Bat algorithm (BA)medical staff schedulingmedical staff’s preferencesnurse scheduling/rosteringworkload balanceMore Related Videos
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