救护车管理的决策支持系统：葡萄牙EMS的案例研究

IF 6.7 1区工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computers & Industrial Engineering Pub Date : 2025-04-02 DOI:10.1016/j.cie.2025.111044

A.S. Carvalho, M.E. Captivo

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引用次数: 0

摘要

本文介绍了一种名为 "救护车管理工具"（AMT）的决策支持系统（DSS），其开发目的是为紧急医疗服务（EMS）中的决策过程提供支持。我们将重点放在操作层面的决策上，考虑救护车的调度和搬迁任务。在 AMT 中嵌入了地理信息系统 (GIS)，以帮助紧急医疗服务管理人员进行决策。该系统可在地图上直观显示急救服务的特征（如医院、基地）、紧急情况和救护车的位置。AMT 包括两种解决调度和搬迁问题的优化方法：数学模型和启发式。我们将葡萄牙的急救服务作为一个案例进行研究，重点关注里斯本地区的急救服务运行情况，在该地区，调度和搬迁决策目前是一项手工制作的任务。我们考虑了现实生活中的一些特点，如多种救护车和紧急情况类型以及救护车的工作轮班。

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A decision-support system for ambulance management: A case study of the Portuguese EMS

This paper presents a decision-support system (DSS) named ambulance management tool (AMT), which was developed to support the decision-making process in the Emergency Medical Service (EMS) context. We focus on the operational level of decision by considering ambulances’ dispatching and relocation tasks. A Geographic Information System (GIS) is embedded in the AMT to help the EMS managers in the decision-making process. It allows the visualization on the map of the EMS features (e.g., hospitals, bases), emergencies’ and ambulances’ location. The AMT includes two optimization approaches to solve the dispatching and relocation problems: a mathematical model and a heuristic. We present the Portuguese EMS as a case study focusing on the EMS operation in the Lisbon area, where dispatching and relocation decisions are currently handmade tasks. Real life features such as multiple ambulance and emergency types and the ambulances’ working shifts are considered.

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来源期刊

Computers & Industrial Engineering 工程技术-工程：工业

CiteScore

12.70

自引率

12.70%

发文量

794

审稿时长

10.6 months

期刊介绍： Computers & Industrial Engineering (CAIE) is dedicated to researchers, educators, and practitioners in industrial engineering and related fields. Pioneering the integration of computers in research, education, and practice, industrial engineering has evolved to make computers and electronic communication integral to its domain. CAIE publishes original contributions focusing on the development of novel computerized methodologies to address industrial engineering problems. It also highlights the applications of these methodologies to issues within the broader industrial engineering and associated communities. The journal actively encourages submissions that push the boundaries of fundamental theories and concepts in industrial engineering techniques.