Global digitalisation is undeniable and has become increasingly apparent in recent years. We are facing the fourth industrial revolution. This means, among other things, that we have to work with more and more data, requiring more complex techniques to analyze it, leading to the need to improve how information is displayed to the user and how the user interacts with digital products.
In Industry 4.0 context and, in general, the 4.0 world, appear products and services whose organisation poses extremely complex problems. Dealing with them well or badly can be the difference between a profitable business and an unprofitable one.
The first step in developing an optimisation solution is to find out where there is a suitable scenario to work on, where and why a business process is lacking, and what are those indications that will help us to focus the shot, to bet on projects that will be clear winners.
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.
Last 16th of December, baobab soluciones organised a round table together with the Innovation Centre for Logistics and Merchandise Transport (CITET) in which we had three executives from leading companies in the sector.
The use of autonomous vehicles promises to achieve a significant reduction in the transport costs of the final section of distribution.
What is AutoML? What tasks does it facilitate? What limitations does it have? Introduction to Automated Machine Learning technologies from the analysis of all phases of a Machine Learning project in production.
The Franz Edelman Award for Achievement in Advanced Analytics, Operations Research, and Management Science is considered as the Nobel Prize in its field.
The term "Logistics 4.0" was coined a few years ago in close association with the wider known "Industry 4.0" concept, which refers to successive industrial revolutions: from mechanization with steam engines, through electrification and computerization, and reaching the use of intelligent and automated systems based on data in the 4th revolution. In Logistics, the same evolution has been followed and it is now the moment in which Artificial Intelligence is beginning to be used to improve processes.