Even early adopters of advanced manufacturing technologies are just starting to develop strategies. Implementation will require considerable time, resources, and commitment.
The idea of continuous improvement is logical but there are challenges to overcome.
A professor, who visited IMTS in September, discusses trends in machine tools.
SME Media's new senior editor introduces himself to readers.
Laser micro-cutting can increase precision and enable contactless cutting for machines, leading to higher-quality products.
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.
SME’s Smart Manufacturing Hub will be part of IMTS this year. Smart Manufacturing asked past Hub speakers to imagine what manufacturing will look like in 2030. Here are their visions:
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.
In the near absence of academic programs to teach undergraduate engineering students additive manufacturing, a California-based startup has stepped in to help fill the void through internships.
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.
