Solving Einstein’s riddle
Albert Einstein

Solving Einstein’s riddle

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.

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Video playlists on Operations Research
Álvaro García

Video playlists on Operations Research

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.

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ROI of Prescriptive Analytics applications

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.

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Ant Colony Optimisation Algorithm
Photo by Poranimm Athithawatthee from Pexels;

Ant Colony Optimisation Algorithm

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.

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Sparklines for Excel

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…

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OptNAR team (UPM) in final of AIMMS/MOPTA modeling competition

mopta

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.

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