@inproceedings{d8ff4088b63d41d3a04e06e52c8230bb,
title = "An Optimization Model for the Placement of Mobile Stroke Units",
abstract = "Mobile Stroke Units (MSUs) are specialized ambulances that can diagnose and treat stroke patients; hence, reducing the time to treatment for stroke patients. Optimal placement of MSUs in a geographic region enables to maximize access to treatment for stroke patients. We contribute a mathematical model to optimally place MSUs in a geographic region. The objective function of the model takes the tradeoff perspective, balancing between the efficiency and equity perspectives for the MSU placement. Solving the optimization problem enables to optimize the placement of MSUs for the chosen tradeoff between the efficiency and equity perspectives. We applied the model to the Blekinge and Kronoberg counties of Sweden to illustrate the applicability of our model. The experimental findings show both the correctness of the suggested model and the benefits of placing MSUs in the considered regions.",
keywords = "MILP, Mobile Stroke Unit (MSU), MSU Placement, Optimization, Time to Treatment",
author = "{Amouzad Mahdiraji}, Saeid and Abid, {Muhammad Adil} and Johan Holmgren and Mihailescu, {Radu Casian} and Fabian Lorig and Jesper Petersson",
year = "2024",
doi = "10.1007/978-3-031-48858-0_24",
language = "English",
isbn = "9783031488573",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media B.V.",
pages = "297--310",
editor = "Teresa Guarda and Filipe Portela and Diaz-Nafria, {Jose Maria}",
booktitle = "Advanced Research in Technologies, Information, Innovation and Sustainability - 3rd International Conference, ARTIIS 2023, Proceedings",
address = "United States",
note = "3rd International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2023 ; Conference date: 18-10-2023 Through 20-10-2023",
}