Home health care routing and scheduling problems considering patient classification and outsourcing: Modeling and a solution algorithm

IF 4.1 2区 工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Xiaomeng Ma , Xujin Pu , Yaping Fu , Kaizhou Gao , Yuchen Xu
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Abstract

Home health care (HHC) is treated as a substitute for hospitalization and plays a crucial role in relieving the pressure of medical resources resulting from population aging. HHC routing and scheduling problems have received much attention in modeling and optimization fields. This paper proposes a multi-objective HHC routing and scheduling problem considering patient classification and outsourcing operation, in which patients are classified into two types, i.e., VIP patients and ordinary patients. All the patients are assigned to an HHC center or outsourced to third-party service providers. Then, the caregivers in the HHC center are scheduled to provide services for the assigned patients. First, a mixed integer programming model with minimizing total operation cost and minimizing total tardiness is established. Second, a Q-learning-based multi-objective evolutionary algorithm with problem-specific knowledge (QMEA-K) is specially devised. At last, numerous experiments are carried out by making comparisons between QMEA-K and four algorithms and an exact solver CPLEX. The acquired results prove the effectiveness and advantages of QMEA-K in tackling the concerned problem.
考虑病人分类和外包的家庭保健路线和调度问题:建模和解决算法
家庭卫生保健(HHC)被视为住院治疗的替代品,在缓解人口老龄化带来的医疗资源压力方面发挥着至关重要的作用。HHC路由调度问题在建模和优化领域受到广泛关注。本文提出了一个考虑患者分类和外包操作的多目标HHC路由调度问题,将患者分为VIP患者和普通患者两类。所有患者都被分配到HHC中心或外包给第三方服务提供商。然后,安排HHC中心的护理人员为指定的患者提供服务。首先,建立了总运行成本最小和总延误最小的混合整数规划模型。其次,设计了一种基于q学习的问题特定知识多目标进化算法(QMEA-K)。最后,对QMEA-K算法和四种算法以及精确求解器CPLEX进行了大量的实验比较。所得结果证明了QMEA-K在解决相关问题方面的有效性和优越性。
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来源期刊
Computers & Operations Research
Computers & Operations Research 工程技术-工程:工业
CiteScore
8.60
自引率
8.70%
发文量
292
审稿时长
8.5 months
期刊介绍: Operations research and computers meet in a large number of scientific fields, many of which are of vital current concern to our troubled society. These include, among others, ecology, transportation, safety, reliability, urban planning, economics, inventory control, investment strategy and logistics (including reverse logistics). Computers & Operations Research provides an international forum for the application of computers and operations research techniques to problems in these and related fields.
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