在多个地点优化医院值班安排:一种协作式的元启发式方法
Faiza Ajmi1, Sarah Ben Othman2, Jean-Marie Renard3
1ICL, Junia, Université Catholique de Lille, LITL, F-59000 Lille, France.
Studies in health technology and informatics
|August 8, 2025
概括
本研究介绍了一种使用协作优化算法进行医务人员调度的多代理系统 (MAS). 这种方法提高了公平性,优化了偏好,并平衡了工作负载以提高效率.
科学领域:
- 运营研究 运营研究
- 医疗保健管理的管理
- 计算机科学 计算机科学
背景情况:
- 医务人员的安排是一个关键的,但又复杂的运营挑战.
- 不有效的安排会影响患者护理质量和医疗保健专业人员的福祉.
- 现有的方法往往难以平衡各种约束和偏好.
研究的目的:
- 开发和评估一个创新的多代理系统 (MAS) 以优化医务人员轮班分配.
- 提高工作负载分配的公平性,并适应员工的偏好.
- 在复杂的调度场景中尽量减少约束违规.
主要方法:
- 实现一个多代理系统 (MAS),集成多个协作优化算法.
- 利用启发式方法来管理多个动态时间表.
- 用模拟和现实世界的医疗安排数据测试系统.
主要成果:
- 采用MAS方法在调度效率和适应性方面取得了显著的改进.
- 该系统有效地平衡了工作负载,优化了员工的偏好,并将限制违规行为降到最低.
- 启发式听觉技术在管理复杂,多时间表的环境中尤其有效.
结论:
- 在MAS中的协作优化为复杂的医疗人员安排提供了强大的解决方案.
- 这种方法提高了医疗保健机构的运营效率和员工满意度.
- 开发的系统为应对现实世界调度挑战提供了灵活和可适应的工具.
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