Smart Manufacturing posts

Industrial servitization is a hot topic right now as new technologies emerge that harness real-time data. In an increasingly competitive market servitization is the way to open new business lines, improve customer loyalty and, in addition, comply with sustainability goals. Manufacturers can now make a profit from services by making their products last longer and avoid waste as much as possible. They can also recycle parts of broken products for reuse or recycle an integral part of these services.

One of the main applications of artificial intelligence in industrial environments is predictive maintenance. If before there was a human maintenance team, with protocols and routines for 'review and monitoring' (and repair if necessary) of each segment or area of the production chain, AI can do it much more accurately and with fewer resources.

The digital revolution is accelerating industrial transformation. Ubiquitous innovation, global markets, and increasingly demanding customers who no longer seek just a product, but a comprehensive service tailored to their needs are forcing manufacturers to transform their business models and move from one-off sales to one of higher value-added services.

New technologies are changing maintenance techniques. In just five years, predictive maintenance has gone from an uncertain use case to a fast-growing application with a clear return on investment.

"To the human being we have to give back the values that with the pure and hard Taylorism of repetitive tasks was the antithesis of what Modern Industry is." Diego Galar

With the Fourth Industrial Revolution, many small companies and start ups appear with much more affordable, much cheaper technology and start deploying data collection architecture in all types of large, medium and small companies and start providing services to companies that previously could not afford it.