• Advanced Manufacturing

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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.

Artificial Intelligence, the symbiosis between human and machine

  • Advanced Manufacturing
Contrary to popular belief, Artificial Intelligence (AI) is not going to replace people, but should rather be seen as an ally, given that it’s more geared towards optimizing business processes, such as task automation processes. The most widespread AI is currently based on learning from questions and suggestions made to humans to deal with the challenges presented by the different processes. Full automation is only possible in very simple processes, generally with little added value.

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.