Artificial Intelligence in Manufacturing.
The ship has not sailed yet.
If you are a manufacturing or processing company and have not yet taken the big decision on using Artificial Intelligence – wondering what’s the fuss is all about or weighing return on investment – you are not alone. But you will soon be in a minority and will be left out of the revolution sooner than you can imagine.
Today, no other sector is being transformed by artificial intelligence the way manufacturing is. From achieving significant cuts in downtime to generating better-designed products and improving the safety of employees, artificial intelligence is truly evolving manufacturing.
In a Forbes Insights survey on artificial intelligence, 44% of respondents from the automotive and manufacturing sectors classified AI as “highly important” to the manufacturing function in the next five years, while almost half—49%—said it was “absolutely critical to success.”
The key is to take advantage of this trend in time to ensure that your company does not lose out to the competition. The scope of application for artificial intelligence in manufacturing is remarkably vast –from real-time maintenance of machinery to better supply chain models that allow your company to adapt to an ever-changing market.
So let us look at some key ways in which AI is improving manufacturing:
Ongoing maintenance of machinery is a huge expense for manufacturers and the shift from reactive to predictive maintenance has become a must for all manufacturers. By using advanced AI algorithms and artificial neural networks to formulate predictions regarding asset malfunction and briefing technicians ahead of time, AI has managed to save businesses valuable time and resources.
In addition, predictive maintenance has helped extend the life of machines and has resulted in an overall reduction in labor costs.
With a marked rise in consumerism, manufacturers are struggling to meet the demand for increased customization and product quality. Enter generative design – a process where designers can now input various parameters like material types, available production methods, budget limitations and time constraints into an AI algorithm referred to as generative design software to get a list of possible configurations. The algorithm also uses Machine Learning to test the possible configurations in order to hone in the best options.
The main advantage of the generative design process is the fact that it eliminates human bias and tests design options in a variety of manufacturing scenarios to ensure that performance demands are met adequately.
Optimizing supply chain
Artificial intelligence algorithms can also help optimize manufacturing supply chains by stimulating market demand ahead of time.
By taking a variety of parameters into account like location, weather patterns, and socioeconomic conditions, AI algorithms can forecast market demand accurately that helps companies optimize their go-to-market strategies well in advance.
Machine Learning algorithms today can detect minute defects, which are well beyond the resolution of the human eye, and send alerts in advance to the machine as well as technicians.
These are just some of the ways in which AI is transforming manufacturing and there is no question regarding the fact that AI is key to staying relevant in today’s competitive market.
According to the Forbes survey, more than half of the participating companies in the automotive and manufacturing sectors plan to increase their AI spending by up to 10%. By not digitalizing their manufacturing process, companies will incur greater costs and lose market share to the competition.
If you are ready to take your manufacturing process to the next level by incorporating AI, feel free to talk to us at firstname.lastname@example.org.