• Machine Learning

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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.

Automated Machine Learning (AutoML) for Sheet Metal

  • Digital Transformation
Automated Machine Learning (AutoML) has become a trending topic in the industry due to the implementation of numerous algorithms by groups dedicated to academic research on artificial intelligence (AI) in recent years. AutoML is a tool for streamlining the development of AI solutions in the industry by providing explainable and reproducible results in an automatic and simple way.

Smart pricing

  • Advanced Manufacturing
It is generally quite difficult to know exactly how much each process contributes to a product’s value chain. The sheet metal world is not immune to the difficulty of estimating the right price for the product. There is an infinite number of processes that add value to a product: material used, scrap generated, cutting time, consumables used, labor associated with production, miscellaneous indirect costs, etc.