• Advanced Manufacturing

Sherlock Edge: linking the factory to the cloud

  • Advanced Manufacturing
Imagine a sheet metal factory. Hundreds of processes are taking place at the same time and all of them generate (or can potentially generate) a huge amount of invaluable data. That data can be processed and fed into the data analysis pipelines that Lantek is developing to provide advanced services targeted at improving the efficiency and performance of factories. Some of those advanced services are already in the market, like Lantek Analytics. Soon that data will also feed machine learning algorithms that will revolutionize the way we work and interact with sheet metal software.

Lantek MES Wos to control production in the workshop and increase efficiency

  • Advanced Manufacturing
What do we ask of our factories? Efficiency and maximum quality. To do this, we need a plant data collection program at the operator’s post, the objective of which is the monitoring, control and validation of each one of the manufacturing processes, from reception of the order to the completion of production. And all of this, of course, in real time and automated, so that production can be performed with greater agility and optimization. Without administrative tasks that cause delays and can even lead to mistakes.

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.