A multiobjective approach for weekly Green Home Health Care routing and scheduling problem with care continuity and synchronized services

IF 3.7 4区 管理学 Q2 OPERATIONS RESEARCH & MANAGEMENT SCIENCE
Salma Makboul , Said Kharraja , Abderrahman Abbassi , Ahmed El Hilali Alaoui
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引用次数: 0

Abstract

Home Health Care (HHC) services are essential for delivering healthcare programs to patients in their homes, with the goal of reducing hospitalization rates and improving patients’ quality of life. However, HHC organizations face significant challenges in scheduling and routing caregivers for home care visits due to complex criteria and constraints. This paper addresses these challenges by considering both caregiver assignments and transportation logistics. The objective is to minimize the total travel distance and CO2 emissions while ensuring a balanced workload for caregivers, meeting patients’ preferences, synchronization, precedence, and availability constraints. To tackle this problem, we propose a multiperiodic Green Home Health Care (GHHC) framework. In the first stage, we utilize multiobjective programming and the NSGA-II algorithm to generate Pareto front solutions that consider travel distance and CO2 emissions. In the second stage, a Mixed-Integer Linear Programming (MILP) model is proposed to balance caregivers’ workload by assigning them to the patient routes generated in the first stage. The results highlight the trade-off between shorter routes and lower emissions. Furthermore, we examine the impact of prioritizing continuity of care and patient satisfaction. This research provides valuable insights into addressing the scheduling and routing challenges in HHC services, contributing to a more efficient and environmentally friendly healthcare delivery.

针对具有护理连续性和同步服务的每周绿色家庭保健路由和调度问题的多目标方法
家庭医疗保健(HHC)服务对于在患者家中为其提供医疗保健项目至关重要,其目标是降低住院率和提高患者的生活质量。然而,由于复杂的标准和限制因素,家庭医疗保健组织在安排和安排护理人员进行家庭护理访问时面临着巨大的挑战。本文通过考虑护理人员的分配和交通物流来应对这些挑战。我们的目标是最大限度地减少总行程和二氧化碳排放量,同时确保护理人员的均衡工作量,满足病人的偏好、同步性、优先性和可用性限制。为了解决这个问题,我们提出了一个多周期绿色家庭医疗保健(GHHC)框架。在第一阶段,我们利用多目标程序设计和 NSGA-II 算法来生成考虑旅行距离和二氧化碳排放量的帕累托前沿解决方案。在第二阶段,我们提出了一个混合整数线性规划(MILP)模型,通过将护理人员分配到第一阶段生成的病人路线来平衡他们的工作量。结果凸显了缩短路线与降低排放量之间的权衡。此外,我们还研究了优先考虑护理连续性和患者满意度的影响。这项研究为解决医疗保健服务中的调度和路线选择难题提供了宝贵的见解,有助于提供更高效、更环保的医疗保健服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Operations Research Perspectives
Operations Research Perspectives Mathematics-Statistics and Probability
CiteScore
6.40
自引率
0.00%
发文量
36
审稿时长
27 days
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