Savaşer Sinem Kınay, Kara Bahar Yetis
Joseph L. Rotman School of Management, University of Toronto, Toronto, ON M5S 3E6 Canada.
Department of Industrial Engineering, Bilkent University, 06800 Ankara, Turkey.
OR Spectr. 2022;44(3):875-910. doi: 10.1007/s00291-022-00670-3. Epub 2022 Mar 15.
In this study, we focus on the delivery of mobile healthcare services in rural areas, where doctors visit remote villages which do not have a healthcare facility nearby. The aim is to increase the accessibility of healthcare services for such population centers. We aim to determine the village assignments of the doctors, their monthly visit schedules and base hospitals where they start and end their tours. We model this as a periodic location routing problem and use the policies of Ministry of Health of Turkey as a basis for our mathematical formulation. These policies include the essential components of mobile healthcare services, namely, continuity of care and determining evenly distributed periodic visits. We determine the visit schedules, i.e. routes, of doctors endogenously while satisfying these policies. We also develop a heuristic algorithm based on a cluster first-route second approach and solve larger instances more effectively. The computational experiments support that this solution methodology can effectively find optimal or near-optimal solutions and improve the computational times significantly.
在本研究中,我们专注于农村地区移动医疗服务的提供,医生会前往附近没有医疗设施的偏远村庄。目的是提高此类人口中心获得医疗服务的可及性。我们旨在确定医生的村庄分配、每月出诊时间表以及他们开始和结束巡回的基地医院。我们将此建模为一个周期性选址路径问题,并以土耳其卫生部的政策为数学公式的基础。这些政策包括移动医疗服务的基本组成部分,即持续护理和确定均匀分布的定期出诊。在满足这些政策的同时,我们内生地确定医生的出诊时间表,即路线。我们还基于先聚类后定路线的方法开发了一种启发式算法,并更有效地解决更大规模的实例。计算实验表明,这种求解方法能够有效地找到最优或接近最优的解,并显著缩短计算时间。