As additive manufacturing emerges from a long infancy, the industry is grappling with a key challenge: A file format and design tools from the 20th century are being asked to do 21st century jobs.
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Modernizing the smaller shop with the latest digital tools available from enterprise resource planning (ERP) software developers
Automotive supplier Faurecia (Nanterre, France) decided it needed to get serious about Industry 4.0 fast.
New ISO safety specification helps automation developers design safer robots for close encounters on the factory floor
I traveled to Toyota headquarters in Japan with Jeff Liker for a research project. We wanted to learn more about the engineering and collaboration that created the Toyota New Global Architecture (TNGA), the strategy and innovation behind hydrogen vehicles, and how they had adapted and improved their development system to meet the increasing demands of the ultra-competitive global auto industry.
Siemens is working to fulfill the Industry 4.0 vision with the digital twin, speakers from the software firm told people attending its namesake product lifecycle management (PLM) software conference this week in Orlando, FL.
PLM strategies move manufacturers ahead with improved simulations in the Digital Thread and the latest Industrial Internet of Things (IIoT) applications
When a manufacturer has excess inventory not adding value to the process, the inventory is hurting the company’s balance sheet, and is by definition wasteful.
Modern manufacturing is rapidly adopting model-based definition (MBD). When employing an MBD strategy, the CAD model becomes more than the nominal to which all parts are measured and inspected against. MBD keeps the all-important digital thread intact—from design to manufacturing to inspection and quality reporting.
“Metrology and its relationship to manufacturing is rapidly evolving,” Ken Woodbine, president, Wilcox Associates, a brand of Hexagon Metrology (North Kingstown, RI), recently observed. “We are seeing larger quantities and faster speeds of measurement data collection. The next challenge is what to do with all that data.”