Artificial intelligence, in addition to making production processes more efficient, will also be used in companies to perform preventive maintenance
The development of artificial intelligence will be key to the large-scale adoption of Industry 4.0. Artificial intelligence will facilitate the use of new equipment and new technologies, making production more efficient and less expensive. But smart machines will also change maintenance within companies.
With new smart machines, employees will be able to collaborate and make their work more efficient. Using less time and effort. But the strides made in recent years by artificial intelligence suggest more than just improvements in production. In fact, the machines will record all production data and, thanks to artificial intelligence, will notice when something starts to malfunction. Notifications will alert employees so that they can carry out preventive maintenance. This type of intervention will cost less than complex repairs and will extend the life of the machines themselves.
Efficiency and lower costs
It's not just a question of damage in use, preventive maintenance will also serve to reduce waste and improve the quality of the final product. In fact, machines, thanks to sensors and Internet of Things objects, will communicate with each other and alert employees if abnormal data has been recorded in the last period. As for example the excessive use of a material to realize a product. But also the making of too many defective items and similar manufacturing issues. Not forgetting emissions. In fact, the machinery will be regulated to report any pollution and environmental impact problems. For the management of this information employees will be given tables and graphs, through specific programs, so that they too can notice possible problems. But that's not all. Thanks to artificial intelligence, it will also be possible to create forecasting models. Obviously, we will be able to customize the forecasts also according to the moment or the different investments made during a certain period of time.