• Machine Learning

5 challenges for the metal and sheet metal cutting industry

  • Advanced Manufacturing
Ultimately, the crux of the matter is to optimize plant production in order to mass-produce customized parts without increasing costs and while also boosting productivity, that’s why using Industry 4.0 enabling technologies is vital. We’re talking about both the sensorization of plants with Internet of Things (IoT) technology and advanced software developed using Artificial Intelligence and Machine Learning hosted in Cloud environments.

Adaptation and customization, beyond software

  • Advanced Manufacturing
In the age of digitization, a company’s ability to customize their offer is crucial to enable them to become the preferred choice of current and future customers. This is an adaptation which is necessary in every sector, and the metal industry is not exempt: how do you differentiate yourself from the competition? The key is not in the product, nor in the software per se, but in the processes and in the way that the various pieces of software are adapted to them.

Machine Communication Standards

  • Advanced Manufacturing
We all know that our goal is to achieve online connectivity between our IT systems and the real processes taking place in our factories. However, in reality, nowadays there is no single communication standard which allows us to communicate our IT solutions (ERP/MRP/MES) to any given machine from any given manufacturer and, of all these terms, it is not easy to understand which are important in each case.