No other sector other than manufacturing has seen a massive turnover like artificial intelligence. The future promises a cosy picture. Significant cuts to reduce unplanned downtime, quality driven products, and manufacturers are looking at ways to improve efficiency with safety of employees being on top of the agenda.
Let us now understand on how artificial intelligence in manufacturing would be of help
Smart maintenance and industry
In the domain of manufacturing maintenance of equipment and machinery poses to be a major challenge. It does have a critical impact, on an asset related production venture. Studies do showcase unplanned down time on the higher side recurring significant expense. The main cause of unplanned downtime is due to asset failure.
Because of this reason predictive maintenance is a must have solution for all manufacturers. They need to have an idea about the next failure of a system, machine or part. This cuts down drastically on the unplanned down time with prolonged use of machines and equipment. Some cases maintenance cannot be avoided so technicians need to be made aware before time which components need an overall inspection. The tools and equipment would focus you on repairs well in advance.
Quality at a different level
Products have become complex and short time deadlines are encountered for a product to reach an end customer. A manufacturing company fails it really difficult to comply with quality deadlines and even other regulations.
On the other side of the coin customers have gone on to expect quality prone products which forces the manufacturing companies to push up their product standards. The damage associated with high defective rates along with product recalls ends up doing a lot of damage to the company as a whole.
AI manufacturing companies rely on algorithms of dealing with production quality issues which are going to cause a lot of harm. A lot of faults are expected during the process of production that can be addressed via incorporating artificial intelligence system in place.
If you are able to address such issues higher levels of quality can be maintained. The producers are able to collect data and to better their performance in this domain they can work upon those. In both tactical and strategic development process product developmental teams would be of immense help.
Human and robot collaboration
By the end of this coming year it is expected there would be around 1.8 million robots at your work place premises. Once again as more and more jobs would be taken over by robots. As more and more robots will be taking over jobs, human capabilities can be put to use in advanced design, programming or maintenance.
Any development in AI would be central to this medium forcing the robots to take more cognitive tasks.
To conclude artificial intelligence is also taking over the way by which products are being designed. One of the standard methods would be a detailed input that is provided by engineers where AI is incorporated into a design module.