Most of the nearly 400 C-suite manufacturing executives recently surveyed by SME.org and the software firm Plataine on plans for factory digitization expect at least single-digit business growth over the next three years, Plataine’s Ofer Abramsohn said here today, presenting the survey results for the first time at the Smart Manufacturing Experience.
At the RAPID + TCT conference here, Vader Systems this week announced three unique offerings based on its patented Magnet-o-Jet technology.
It’s said you don’t know where you’re going if you don’t know where you’ve been. For Industry 4.0 and advanced manufacturing, digital libraries provide that map.
Jabil Inc. (St. Petersburg, FL) said it’s establishing a global network of 3D printing facilities as the company expands its additive manufacturing business.
Four universities—Iowa State University, University of Minnesota, University of Wisconsin-Madison and North Dakota State University (NDSU)—competed in the inaugural 3M Industrial Adhesives and Tapes Disruptive Design Challenge (DDC) at 3M’s headquarters (St. Paul, MN), Friday, April 13.
The next cycle of technology disruption is upon us. Artificial Intelligence (AI) is taking hold in every industry and manufacturing is no exception. AI enables companies—from medical device and electronics manufacturers to pharmaceutical firms—to leverage their Big Data and IoT investments to see new patterns and insights and to perform tasks more efficiently and quickly than ever before.
Remember the boy with endless learning capacities in the 2001 film “AI Artificial Intelligence”? He’s quickly coming to life. Today, AI is no longer fictional; it’s reality.
Speed, safety and efficiency are important to running a successful manufacturing floor. The more efficient workers are on the floor, the quicker products can be finished and sent to their destination. The major opponent to efficiency on the floor is, of course, waste.
Smart manufacturing is about making the best decisions in the shortest time possible based on the most accurate real-time data—whether those decisions are made by people, machines or cyber-physical systems.
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.
