电动汽车的多期家庭医疗护理路线和调度问题
Osman Atilla Yazır1, Çağrı Koç1, Eda Yücel2
1Department of Business Administration, Social Sciences University of Ankara, Ankara, Turkey.
OR spectrum : quantitative approaches in management
|June 26, 2023
概括
这项研究优化了使用电动汽车进行家庭医疗保健的每周护士安排,通过考虑患者需求和收费策略来降低成本. 有效的路由和调度是减少整体医疗保健开支的关键.
科学领域:
- 运营研究 运营研究
- 医疗保健管理的管理
- 可持续的物流可持续的物流
背景情况:
- 家庭医疗保健服务面临复杂的后勤挑战,在路由和安排护士到分散的患者地点.
- 电动汽车 (EV) 的整合为医疗保健物流引入了独特的考虑因素,例如充电策略和能源成本.
- 患者访问频率和时间窗口的限制进一步增加了多期调度问题的复杂性.
研究的目的:
- 解决涉及同质电动汽车和患者时间窗口的多期家庭医疗护理路线和调度问题 (HHRSP).
- 尽量减少总运营成本,包括护士利用,电动汽车收费和患者服务.
- 为解决这个复杂的优化问题,开发和评估一个高效的元启发术.
主要方法:
- 为家庭医疗保健路由和调度问题制定数学模型.
- 适应性大邻里搜索 (ALNS) 的开发,以问题特定的特征量身定制的元启发.
- 在基准实例上进行广泛的计算实验,以验证启发式的性能和分析问题的特征.
主要成果:
- 适应性大邻里搜索元启发表现出电动汽车解决HHRSP的竞争力.
- 分析显示,在仓库或充电站优化充电策略 (正常,快速,超快速) 会影响总体成本.
- 该研究强调了护士与患者需求之间的能力水平匹配的重大成本影响.
结论:
- 拟议的ALNS元启发式提供了一种有效的方法,以电动汽车优化家庭医疗保健物流.
- 对电动汽车充电技术和护士安排的战略考虑对于具有成本效益的医疗保健服务至关重要.
- 确保医疗保健提供者之间的适当能力水平匹配对于降低运营成本和提高服务效率至关重要.
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