Hackathon photo by Andrew Eland.
Baobab optimization hackathon
Inspired by kaggle competitions and other similar events, a few months ago we decided to arrange an internal optimization hackathon at baobab.
Prescriptive analytics: optimisation and simulation.
Optimization and simulation are two very powerful tools that allow you to tackle complex problems and make better decisions.
How to use Prescriptive Analytics to reduce operating rooms’ waiting lists
The average times on the waiting list for surgical interventions by the National Health System (SNS) in Spain began to increase around the year 2012 and, after slight fluctuations, reached…
Dimensioning an ambulance service
The situations where an ambulance may be needed are potentially life-threatening. Improving the allocation of ambulances to their bases and guaranteeing response time is a problem worth solving by maths.
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.
Baobab, scientific solutions for your business challenges
Join us at AIMMSFEST 2020
Next April 3 we will join our AIMMS partners in Amsterdam for the AIMMSFEST 2020.
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.
OptNAR team (UPM) in final of AIMMS/MOPTA modeling competition
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.