EURO 2024 Copenhagen
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2770. Ambulance routing problem for emergency medical services

Invited abstract in session MA-10: EMS logistics, stream OR in Health Services (ORAHS).

Monday, 8:30-10:00
Room: 11 (building: 116)

Authors (first author is the speaker)

1. Issam Nouaouri
University of Artois / LGI2A
2. Hamid Allaoui
University of Artois

Abstract

In recent years, and particularly following the Covid 19 pandemic, an increase in the number of patients in hospital has been noted. Medical transportation is essential for an effective and efficient healthcare system. Demand continues to grow with the increase in needs from medicine (city or country medicine) and healthcare structures. The costs linked to medical transport are constantly increasing. Also, during an emergency, transport can be a determining factor in saving human lives.
In this context, the problem is to reduce cost with better regulation and efficient use of resources, while guaranteeing the quality of service to patients. Medical transportation problem is known in the literature as the Ambulance Routing Problem (ARP). To deal with this problem, we propose two approaches: a Mixed Linear Programming (MILP) and a meta-heuristics based on evolutionary and local search algorithms. The goal is to minimize patient waiting time, travel time, and travel cost. This involves developing a decision support tool for planning and optimizing ambulance routes. The first results of the experimental study show that the proposed approaches improve the objective function.

Keywords

Status: accepted


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