突发传染疾病下居家养老服务调度研究
Research on Home Health Care Scheduling Considering Sudden Outbreak of Infectious
陈鑫 1李平 1周颖1
作者信息
- 1. 安徽工业大学管理科学与工程学院 安徽马鞍山 243002
- 折叠
摘要
随着我国人口老龄化加剧和医疗资源短缺,在"未富先老"的特殊国情下,居家养老模式将成为我国未来养老的主要形式.特别是中国新冠肺炎疫情防控进入新阶段,居家养老模式也随之发生改变以适应现状.针对突发传染疾病下居家养老护理员路径与调度问题,考虑服务对象需求的差异性,引用模糊时间窗描述不同紧急性下的客户需求并区分惩罚成本,建立了以最小化成本为目标的机会约束规划模型.针对问题的特点,通过优化适应度函数和自适应交叉和变异概率,并在此基础上设计局部搜索策略,设计改进了混合遗传模拟退火算法.通过不同规模的算例试验和算法比较,验证了算法的有效性.
Abstract
With the exacerbation of the Chinese aging population and the shortage of healthcare resources,home health care(HHC)model would become the main form of elderly care in our country's future,given the unique na-tional situation of"aging before affluence".Especially with the new phase of COVID-19 epidemic prevention and control in China,the HHC model had also changed to adapt to the current situation.The paper focused on the routing and schedu-ling issues of HHC caregivers during sudden infectious disease outbreaks.The opportunity constrained planning model with the objective of minimizing cost was established by considering the variability of service recipients'demands and invoking fuzzy time windows to describe customer demands under different urgencies.For the characteristics of the problem,the hy-brid genetic simulated annealing algorithm was designed and improved by optimizing the fitness function and adaptive cross-over and variation probability,and designing a local search strategy based on them.The effectiveness of the algorithm was verified through the experiments of different scales of arithmetic cases and algorithm comparison.
关键词
居家养老/路径与调度/紧急性/混合遗传模拟退火算法Key words
Home health care/Routing and scheduling/Customer urgency/Hybrid algorithm引用本文复制引用
基金项目
安徽省高校人文社会科学研究项目(SK2020ZD16)
出版年
2024
NETL
NSTL
维普
万方数据