In 2020, the ability for manufacturers to rapidly pivot to changing market demands and challenges became critical for success—and in many cases, survival.
My instincts tell me we need a sense of urgency around the use of artificial intelligence (AI) in manufacturing. The urgency is driven by how quickly technology can move today, and how an unexpected breakthrough can quickly dominate.
When I graduated with an engineering degree some decades ago, I learned that the organizations I was going to work for had internal communication problems. This was especially true for those that designed and manufactured complex machinery such as engines, aircraft, or automobiles.
A Michigan company that displays instructions for manual manufacturing processes on work stations via augmented reality (AR) is adding wearables to provide similar guidance.
My original intention for this column was to discuss a phrase getting a lot of buzz lately, artificial intelligence (AI). By any measure, interest in AI is expanding exponentially, both in the number of articles one can read on the subject and, according to Google Trends, the number of searches for those articles.
U.S. Manufacturers looking to retain customers and maximize profits need to innovate their operations, including changing how they get paid.
Buckle Up, it’s going to be a bumpy ride to economic recovery—but, hopefully, a relatively short one.
Steve Plumb, senior editor of SME Media, outlines changes for Manufacturing Engineering magazine in 2023.
One of the reasons the aerospace industry is so often talked about in trade journals is that it lives on the edge of new manufacturing technology development.
With vaccinations on the rise, the in-person collaboration that is still essential to doing business, including trade shows, is growing. But challenges to recovery from the pandemic remain. Global supply chains are struggling with multiple disruptions. Shipping rates are historically high. Computer chip shortages are curbing output.
