Business View Magazine | Volume 8, Issue 10

13 BUSINESS VIEW MAGAZINE VOLUME 8, ISSUE 10 8 MANUFACTURING TRENDS TO KEEP YOUR EYE ON IN 2022 OPENING L INES By George J. Newton W ith the arrival of Industry 4.0 and the Covid-19 pandemic, the manufacturing industry has been undergoing a lot of changes in 2021. It looks like these changes are set to continue for the next year. Here are the 8 industry trends that will dominate manufacturing in 2022. 1. IIoT-Internet of Things “IIoT, even though it has become more widespread in the industry field, is still at the top of the list for upcoming trends in 2022,” says Robert Smith, a journalist at Brit student and Write my X. The Industrial Internet of Things, due to its adaptability, innovation, and predictive maintenance capabilities, saves companies time and money. This is essential in today’s industry and therefore will continue to be a top trend in 2022. 2. 3D Printing 3D printing is another example of new technology that has had a massive impact on industry and will continue to do so in the upcoming year. 3D printing allows for the production of more reliable and efficient components faster and with fewer resources. This, in turn, improves overall manufacturing performance. With so many different types of products that can be produced in this manner, from engine parts, to appliances, even some food products, 3D printing is here to stay. 3. Predictive Maintenance Predicting failures and avoiding downtime is dominating the field of industry right now. “Downtime in your production line costs big money,” explains Angela Clement, a writer at Origin Writings and 1 Day 2 write. Ninety-eight percent of businesses report that a single hour of downtime costs them over $100,000. That’s a lot of money to be wasting, which is why adopting preventative maintenance strategies is essential to keep costs down. Minimizing unplanned downtime and extending the life of your factory machinery will always be trendy in up-and- coming years. 4. Data Mining and Big Data These are hot topics right now within the manufacturing industry. With the interest in IIoT and predictive maintenance, data mining and big data is critical. A perk to IIoT is that with every input and move, everything is registered and therefore can be studied. You