When money is invested in an application to achieve savings or increase the income of a company, it is convenient to estimate its Return of Investment to decide if acquiring or developing the application is worth it.
Next April 3 we will join our AIMMS partners in Amsterdam for the AIMMSFEST 2020.
In the discipline of Operations Research, the Ant Colony Optimization algorithm (ACO) is a technique to solve complex combinatorial problems inspired by the behaviour shown by ants in nature, swarm intelligence.
Three UPM students are finalist AIMMS/MOPTA modeling competition. The OptNAR team, consisting of Raúl Pulido, Natalia Ibañez and Adrián Aguirre (INTEC), will present the results of their solution to a specific ‘Operating theater planning problem’ at the MOPTA conference on 14-16 August in Bethlehem, America.
They are researching at the UPM, in the Industrial Engineering doctorate program in the Math-based Decision Making in Logistics and Operations.
In this competition, teams consider a particular instance of an OR scheduling and sequencing problem. The goal of each team is to develop effective, quantitative, user-friendly tools to support an OR manager’s scheduling and sequencing decisions by using the AIMMS modeling environment.