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Study on the Home Health Caregiver Scheduling Problem under a Resource Sharing Mode considering Differences in Working Time and Customer Satisfaction

机译:考虑工作时间和客户满意度差异的资源共享模式下的家庭健康照顾者调度问题

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The stage of social aging and further deepening of population aging has been witnessed in China. The demand for home care is increasingly growing; meanwhile, medical human resources are insufficient. In this context, a home health caregiver scheduling problem under the resource sharing mode is studied in this paper. Under such mode, two types of caregivers, i.e., full-time caregiver and part-time caregiver, are regarded as the main labor force by HHC institutions. In HHC planning, different working times for the two kinds of caregivers will need to be considered. Consequently, in this paper, a corresponding mathematical model is established and a hybrid algorithm that combines the whale optimization algorithm (WOA) with the particle swarm optimization (PSO) algorithm is proposed to solve the model. The proposed algorithm is compared with the existing algorithms to verify its effectiveness through three example tests of different scales and Solomon example. Finally, the resource sharing model is compared with the traditional model through a case, and the rationality of home health caregiver scheduling in the resource sharing model is discussed in terms of cost structure and customer satisfaction.
机译:中国人口老龄化的社会衰老阶段并进一步深化中国。对家庭护理的需求日益增长;同时,医疗人力资源不足。在这方面,本文研究了资源共享模式下的家庭健康照顾者调度问题。在这种模式下,两类护理人员,即全职照顾者和兼职照顾者,被HHC机构视为主要的劳动力。在HHC规划中,需要考虑两种护理人员的不同工作时间。因此,在本文中,建立了相应的数学模型,并提出了将鲸尔优化算法(WOA)与粒子群优化(PSO)算法结合的混合算法来解决模型。将所提出的算法与现有算法进行比较,以通过不同尺度和所罗门示例的三个示例测试验证其有效性。最后,通过案例将资源共享模型与传统模型进行比较,并且在成本结构和客户满意度方面讨论了资源共享模型中的家庭健康照顾者调度的合理性。

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