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In an industry where efficiency is everything, the use of artificial intelligence can prove to be supremely useful. That’s why the manufacturing industry has been one of the largest adopters of this technology, and is continuing doing so.
Several industries are using AI for all sorts of innovative processes, such as programming robots to make and assemble more robots in Japan where there aren’t enough people to build them manually, to using AI for predicting the health of machines and anticipating breakdowns before they disrupt or pause processes.
Let’s have a look at three cool ways in which AI is transforming the manufacturing sector –
1. Predictive maintenance
Maintenance is one of the major expenditures that manufacturing companies have to bear. Machines and devices often break down when least expected and companies have to shell out a lot of money to find replacements, especially if it happens in the middle of a job. It is estimated that unexpected breakdowns cost $50 billion a year to corporations world-over.
This is where AI and predictive maintenance come into the picture. AI-based tools constantly monitor the health of various components of machines, vehicles, devices etc. and are able to predict which part is most likely to fail and when. GE has already made the first move by coming up with Predix, an AI-based predictive maintenance tool that’s being adopted across different industries.
2. Virtual designing
Remember the part in the first installment of Iron Man where Tony Stark Jr. puts his palm on a virtual cube to see what it feels like?
With the help of AI, manufacturing companies will now be able to design tools and equipment to just about anything. But to avoid the cost of reworking on the designs until a perfect prototype is built, companies will have virtual 3D printers that will work on AI-driven software. It will help the companies in creating the perfect prototypes and get a real-world feel of the same before zeroing down on the specifications that they need to send to their plants.
3. Minimizing wastage and improving overall efficiency
The world is witnessing a shift in the overall demographics. More and more people are entering the middle to upper-middle income segment, so the need for goods is more than ever today. Factories are ramping up production, which leads to one question – how good is the quality control? Quality control is the need of the hour more than ever. It’s impossible for humans to manually check such voluminous goods. An AI tool in conjunction with a camera can do this job almost real-time and raise a red flag if there is any manufacturing defect.
Supply chain relies heavily on demand and supply estimates, seasonality calculations etc. By taking in massive amounts of sales and production data, AI can make the work of manufacturers very easy by letting them know exactly what to produce and how much to produce in particular periods of time.
AI and deep learning will find extensive utility in the manufacturing sector, and to meet that demand, they will require the help of engineers and data scientists who are experts in AI. If you are looking for a fulfilling and rewarding career, right now is the best time to upskill yourself.
Manipal ProLearn is all set to launch a PG Certificate Program in Artificial Intelligence and Deep Learning, which will help you in developing a career in this upcoming and coveted field. The future is in front of you, it’s time to make the most of it!