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Operant Sensation Seeking in the Mouse
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A hybrid genetic algorithm for operating room scheduling.

Yang-Kuei Lin1, Yin-Yi Chou2

  • 1Department of Industrial Engineering and Systems Management, Feng Chia University, P.O. Box 25-097, Taichung, 40724, Taiwan, Republic of China. yklin@mail.fcu.edu.tw.

Health Care Management Science
|March 29, 2019
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Summary
This summary is machine-generated.

This study optimizes operating room scheduling to maximize room utilization and minimize costs. A hybrid genetic algorithm (HGA) significantly improves surgery schedules, reducing wasted time and overtime expenses.

Keywords:
Genetic algorithmHeuristicsOperating roomsScheduling

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Area of Science:

  • Operations Research
  • Healthcare Management
  • Computer Science

Background:

  • Operating room scheduling is complex, involving efficient assignment of surgeries to multifunctional rooms.
  • Current scheduling methods may lead to suboptimal resource utilization, increased overtime, and wasted time.

Purpose of the Study:

  • To develop an optimized approach for operating room scheduling.
  • To maximize operating room utilization.
  • To minimize overtime and unused time costs.

Main Methods:

  • A revised mathematical model was developed for weekly surgery-to-room assignment.
  • Four heuristics were proposed for efficient feasible solution generation.
  • Four local search procedures were introduced for solution improvement.
  • A hybrid genetic algorithm (HGA) integrated these components.

Main Results:

  • The HGA efficiently finds near-optimal solutions for small instances.
  • For large instances, the HGA significantly outperforms the proposed heuristics.
  • Schedules generated by HGA demonstrate reduced wasted time and overtime costs.

Conclusions:

  • The HGA is a highly effective method for operating room scheduling.
  • Optimized schedules lead to higher operating room utilization.
  • The HGA reduces overall operational costs in surgical scheduling.