Did you know that calculating university or college timetables is one of the most difficult problems to solve? In this post, we present the fundamental aspects of this problem and explain how we can improve the schedules of educational institutions.
The column generation method is used to efficiently solve complex combinatorial problems as diverse as cutting metal bars, designing personnel shifts, routing vehicles, scheduling production or planning site visits by sales or maintenance teams. In this article, we will use a simple example to explain how this method works.
The production scheduling problem is an operational problem that must be addressed very frequently.
A few years ago we published on this blog a riddle attributed to Einstein that only 2% of people are said to be able to solve. Here we explain how to solve it using prescriptive analytics.
As an supplement to his course at the UPM ETSII, our cofounder Dr. Álvaro García records and shares short videos and playlists on Operations Research, both in English and Spanish.
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.
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.
At baobab soluciones we took the challenge of improving the current solution using linear programming techniques.
A set of free User Defined Functions for Microsoft Excel® to create Sparklines. The simple, intense, word-sized graphics invented by Edward Tufte & implemented by Fabrice Rimlinger. Very good graphics…
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.