• Advanced Manufacturing

5 mistakes to avoid in the digital transformation of your plant

  • Advanced Manufacturing
Whatever the size of your factory, it’s time for all organizations to embark on the journey towards digital transformation in an aim to get the most out of the plant by applying the different solutions offered by Industry 4.0 (Artificial intelligence (AI), Machine learning (ML), Big data, Cloud, Data Analytics, Internet of Things (IoT) or Digital Twin) throughout the whole production chain.

The digitization of your company is now or never

  • Advanced Manufacturing
Not so long ago we were asking ourselves whether the industry was mature enough to deal with digitization processes. It wasn’t long before the market gave us its response, just like in many other areas, those that were ready were few, the majority found themselves in the middle ground waiting for others to get going to see whether the digitization process is as interesting as suggested or whether it failed to meet expectations, and then there was a third group of "deniers", a term that has become popular over the last few weeks and which includes those that systematically tend to apply the same phase for almost everything: "this isn’t for me".

When faster and more effective client response comes down to optimizing workloads

  • Advanced Manufacturing
The tendency in today’s world is to manage in an increasingly intelligent way and, unsurprisingly, this affects the industrial environment, the plants and industrial facilities in which the real-time planning and optimization of productive processes is fundamental for a business’ competitiveness. In practice, this is made possible through the incorporation of Industrial Internet of Things (IIoT) systems that streamline business processes and significantly improve productivity. The "all connected" and "in time" production trend is now a reality, but this race towards innovation has its advantages and its disadvantages.