• Advanced Manufacturing

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6 steps for building the Digital Smart Factory

  • Advanced Manufacturing
When we talk about the Digital Smart Factory we mean intelligent and advanced manufacturing supported by digitization and the interconnection of processes and machines to collect and process data. It involves the participation of all the departments of a plant, from production planning to remote maintenance, including system integration or data analytics.

Smart Nesting, when the tool and the engineer go hand in hand

  • Nesting
Material waste and a lack of agility in nesting or the nesting of parts are two of the most common problems faced by metal processing companies which slow down the company’s response time for its clients and make the process more expensive. This is due to them not using the appropriate technology in order to fully exploit each piece of sheet metal during the cutting process and/or the fact that this process is completed manually or using slower solutions. Equally, the work of the production engineer mustn’t be knocked as they are experts in the optimization of nesting and machining; the maximization of the margin for each production order received depends on their intervention.

Five reasons for applying machine learning in manufacturing

  • Machine Learning
The Spanish industrial sector is facing an enormous challenge in order to become more competitive in the midst of digital transformation and in a market in which new consumer habits are pushing us towards a new form of manufacturing. The client in the digital era wants THEIR order (in capital letters because they don’t want what’s standard, they want something that’s customized) and they want it in record time, which requires us to be more streamlined and fast.