Eva Selene

Member of the National System of Researchers (SNI)

Tecnológico de Monterrey, Campus Hidalgo.

Professors

Semblance

Master's degree in Industrial Engineering from Tecnológico de Monterrey.

Doctorate from the Universidad Autónoma del Estado de Hidalgo.

Master in Industrial Engineering at Tecnológico de Monterrey (best average of the 2005 generation of graduate students at the Campus Estado de México) with more than 10 years of experience assisting and supervising research projects involving classical combinatorial industrial engineering problems.

Member of the National System of Researchers (SNI).

Interest Areas

Optimization of classical industrial engineering problems
Data Science

Academic Publications

A two-stage Data Envelopment Analysis model for investigating the efficiency of the public security in Mexico https://performancemanager8.successfactors.com/xi/ui/pages/empfile/liveprofile.xhtml?selected_user=3500680&_s.crb=QawELtxXwRoxVVA6U%2bsekQQEh%2bQhpy0t4bUYeQS3Xuo%3d#:~:text=Detalle-,Ver%20Detalle,-Tipo
A Stochastic Programming Model for Multi-Product Aggregate Production Planning Using Validhttps://www.scopus.com/record/display.uri?eid=2-s2.0-85139848178&origin=resultslist
Metaheuristics in the humanitarian supply Chain https://www.scopus.com/record/display.uri?eid=2-s2.0-85121878864&origin=resultslist
Methodology for designing humanitarian supply chains: Distribution of covid-19 vaccines in mexico https://www.scopus.com/record/display.uri?eid=2-s2.0-85119581904&origin=resultslist
Production planning of a furniture manufacturing company with random demand and production capacity using stochastic programming https://www.scopus.com/record/display.uri?eid=2-s2.0-85108018857&origin=resultslist
Determination of Contribution Rates in the Retirement System of an Institution of Higher Education Through an Optimization Model https://www.scopus.com/record/display.uri?eid=2-s2.0-85111096426&origin=resultslist
Productivity improvement through reengineering and simulation: A case study in a footwear-industry https://www.scopus.com/record/display.uri?eid=2-s2.0-85089803685&origin=resultslist
The solution of the concurrent layout scheduling problem in the job-shop environment through a local neighborhood search algorithm https://www.scopus.com/record/display.uri?eid=2-s2.0-85075457697&origin=resultslist