Optimizing Mobile Unit Deployment Based on Accessibility and Risk Indicators

This project will extend the Maximal Covering Location Problem with Accessibility Indicators (MCLPA) by incorporating mobile units (MUs) to enhance service areas and optimize accessibility. The proposed Maximal Covering Location Problem with Accessibility Indicators and Mobile Units (MCLPAMU) will consider facilities and MUs with varying service areas and capacities, as well as customer mobility areas. The model will aim to optimize six accessibility indicators: coverage, minimum access, mobility costs, proximity of service, number of opportunities, and geographical segregation. The MCLPAMU will be applied to the context of COVID-19 testing centers in Mexico, demonstrating its potential to improve the efficiency of medical services during a pandemic. By integrating data analytics, the model will optimize the locations and capacities of testing centers, forecast future outbreaks, and enable proactive resource allocation, ultimately enhancing the response to public health crises.

Faculty Supervisor:

Fabiola Regis Hernández

Student:

Partner:

Tecnológico de Monterrey (Monterrey Campus)

Discipline:

Engineering

Sector:

Health and Related Sciences & Technology; Other

University:

Université TÉLUQ

Program: