Mathematics vs. COVID-19
Universidad Internacional Menéndez Pelayo (UIMP)
Mathematics plays an important role in mitigating the current situation of the Covid-19 crisis. In particular, I would like to emphasize the role of the area of Applied Mathematics known as Analytics. Analytics, also known as Operations Research, is a discipline that applies advanced analytical methods, based on Data, Mathematical Models and Algorithms, to help make better decisions and make better use of resources. Analytics methodologies have been applied with great success in different sectors and industries, and in this case, they can also help in the current health situation by proposing efficient and realistic solutions, and designing plans and future actions.
Las Matemáticas juegan un papel importante en mitigar la situación actual de la crisis Covid-19. En particular, me gustaría hacer énfasis en el papel del área de las Matemáticas Aplicadas conocida por Analytics. La Analytics, también conocida por Investigación Operativa, es una disciplina que aplica métodos analíticos avanzados, basados en Datos, Modelos Matemáticos y Algoritmos, para ayudar a tomar mejores decisiones y hacer un mejor uso de los recursos. Las metodologías de Analytics han sido aplicadas con mucho éxito en diferentes sectores e industrias, y en este caso, estas también pueden ayudar en la situación sanitaria actual proponiendo soluciones eficientes y realistas, y diseñando planos y actuaciones futuras.
The Business Analytics Research Group got funded to work on the project “Logistics Optimization of the Home Health Care and Social Services”.
The main objectives of the project are to extend mathematical models and algorithms from Operations Research and Analytics, successfully applied to different industries, to the Healthcare Logistics area by incorporating the particularities of this sector: the human factor, the risk and variability. The main goal is to help the healthcare manager to make better decisions and generate a positive impact in the patients, citizens, medical personal and the society in general.
This project is supported by the Ministry of Science, Innovation and Universities of the Government of Spain (Ministerio de Ciencia, Innovación y Universidades (MCIU), Agencia Estatal de Investigación (AEI), Fondo Europeo de Desarrollo Regional (FEDER))(RTI2018-095197-B-I00).
Read next the summary of the project…
MARCELUS FABRI LIMA presents if PhD thesis with title “Internal Logistics Optimization in the Automotive Industry”. Helena Ramalhinho (Universitat Pompeu Fabra) and Dr. Miquel Oliver (Universitat Pompeu Fabra) were their PhD advisors. Juan Carlos Muñoz (SEAT) was his advisor at the Seat.
The examination committee were: President: Dr. Mauricio Resende (Amazon.com), Dra. Jesica de Armas (UPF) and Dr. Tolga Bektas (University of Liverpool).
This thesis was done under Doctorats Industrials program, Generalitat de Catalunya.
Abstract: This thesis focus on internal logistics flows (ILF), which is defined as the flows of materials inside the same business or the same plant. Precisely, this work approaches the ILF of SEAT, a company in the Volkswagen group. So, a set of Operational Research or Business Analytics based methods is presented. These methods contribute both to enrich the literature and provide useful techniques to the industry. Those methods refer to new mathematical formulations, Iterated Local Search metaheuristics, simulation models appli- cations as well as data sets. So, the main purpose of this work is providing suitable methods to face internal logistics routing problems in car-assembling companies. Moreover, these methods were developed and applied consider- ing the SEAT’s workshop and data. The results expose several opportunities that can improve the company’s logistics operations as well as reducing some operational costs. The study was presented to the company’s employees that found it interesting and appropriate. Check the thesis in the TDX.
Helena Ramalhinho gave an invited talk on “Business Applications of the Iterated Local Search” in the II Escuela de Invierno de la Red HEUR, Campus de Móstoles de la Universidad Rey Juan Carlos, November 6-8, 2019.