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A Michigan company that displays instructions for manual manufacturing processes on work stations via augmented reality (AR) is adding wearables to provide similar guidance.

I just returned from IMTS in Chicago and my first thought was, “where will I be able to rack up all those bonus steps I got last week?” On the easiest day, I walked 7.9 miles, and I topped 10 miles on two other days. It’s easy to understand why.

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.

Aerospace and defense manufacturing is known for its complex designs, continual changes and the need to negotiate tight margin requirements. At Elite Aviation Products (EAP), a division of Elite Aerospace Group (Irvine, CA), we face these challenges every day.

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.

The trials and tribulations of 2020 have given manufacturers a moment of clarity, a vice president of IFS says in a commentary.

In 2020, the ability for manufacturers to rapidly pivot to changing market demands and challenges became critical for success—and in many cases, survival.

Two attorneys explain why a strong sales contract is a necessity in the metals industry.

In IIoT-based smart factory setups, AI-enabled digital assistants are linked into all assets and all data. It is this intelligence that takes the IIoT beyond data collection to predictions and decisions.

Industry 4.0 initiatives need to consider safety as well as other functions