多目标家庭医疗护理路由:一个可变的邻里搜索方法
Gh Kordi1, A Divsalar1, S Emami1
1Present Address: Department of Industrial Engineering, Babol Noshirvani University of Technology, Babol, Iran.
概括
本研究介绍了家庭医疗保健 (HHC) 服务的优化规划模型,通过平衡成本,排放,工作量和服务质量来提高效率和患者舒适度. 新模式提高了医疗保健服务的生产力.
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:
- 家庭医疗保健 (HHC) 服务对于患者的方便和社会福祉至关重要.
- 在HHC中,手动护士规划导致时间,成本和整体生产率的低效.
- 需要先进的规划模型来优化HHC运营.
研究的目的:
- 开发一个多目标混合整数编程模型,以优化家庭医疗保健 (HHC) 计划.
- 为了平衡财务目标与服务质量,环境影响和工作负载分配.
- 为了解决患者对服务水平的偏好,并考虑不同的员工资格和车辆类型.
主要方法:
- 为HHC规划制定了一个多目标混合整数模型.
- 对于小规模问题实例,CPLEX使用了epsilon-constraint方法.
- 为大规模实例开发了一种具有九个邻里移动的多目标可变邻里搜索 (MOVNS) 算法.
主要成果:
- MOVNS算法在解决实用规模的HHC规划问题方面表现出有效性.
- 灵敏度分析突出了拟议的MOVNS算法的优缺点.
- 该模型的适用性通过使用实际数据的现实世界案例研究来验证.
结论:
- 拟议的多目标模型为高效和高质量的家庭医疗保健 (HHC) 规划提供了一个强大的框架.
- MOVNS算法为优化复杂的HHC物流提供了一个可扩展的解决方案.
- 这项研究有助于提高HHC部门的运营效率和服务提供.
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