在不确定性下的双客观家庭医疗护理路由和安排问题
Jiao Zhao1, Tao Wang2, Thibaud Monteiro1
1INSA Lyon, Université Lumière Lyon 2, Université Claude Bernard Lyon 1, Université Jean Monnet Saint-Etienne, DISP UR4570, 69621 Villeurbanne, France.
概括
本研究介绍了家庭医疗保健路由和安排的优化模型,解决不确定的服务时间,以提高效率和患者满意度. 拟议的适应性大社区搜索方法有效地管理运营成本和护理人员的工作负载.
科学领域:
- 运营研究 运营研究
- 医疗保健管理的管理
- 应用数学 应用数学 应用数学
背景情况:
- 家庭医疗保健的需求正在上升,需要高效的运营成本管理.
- 在家庭护理中不确定的患者服务时间导致延误和服务质量降低.
- 平衡患者需求,护理人员工作量和运营成本至关重要.
研究的目的:
- 开发一个双目标优化模型,用于在不确定性下进行家庭医疗保健路由和调度.
- 将护理人员的资格和工作量纳入优化问题中.
- 为解决复杂的路由和调度挑战提出一个高效的算法.
主要方法:
- 为优化问题开发了一种混合整数线性编程公式.
- 建议在增强的多方向本地搜索 (ALNS-EMDLS) 框架中嵌入适应性大邻里搜索.
- 引入了ALNS-EMDLS的随机版本,以处理不确定的服务时间.
主要成果:
- 拟议的ALNS-EMDLS方法在评估双目标问题的帕雷托前线方面表现出了效率.
- 敏感性分析证实了开发的模型和算法方法的稳定性.
- 该方法成功地应用于现实生活中的家庭医疗保健案例.
结论:
- 开发的优化模型和ALNS-EMDLS算法有效地解决了在家庭医疗保健中的不确定性下路由和调度的问题.
- 这些发现为改善家庭医疗保健运营和服务质量提供了坚实的框架.
- 根据现实生活中的案例应用,提供管理建议.
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