How do we turn all the data collected at each step of the manufacturing process into something usable?
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What do you think of when you hear the word factory? Probably some huge space, with machines humming and personnel walking around with notepads in their hands.
CGTech, a developer of verification and simulation software technology for the manufacturing industry, has appointed Mark Forth as Global Business Development Manager. Forth joined CGTech’s corporate headquarters in Irvine, Calif. on Oct. 1.
Industrial robots are becoming easier to program, more versatile, more cost-effective, more accurate and more mobile. These changes are lowering barriers to entry, shortening return on investment and making robots a more practical investment.
The second level of machining automation is here. It may not be at every shop or factory yet, but it’s coming.
With an influx of investment in digital factories, the playing field is changing and the ROI for digitizing production is becoming ever more apparent. However, restraints, such as company size and a disconnect between IT and OT, means the road to a successful digital transformation is one very few will be able to do alone.
For years, companies have struggled to understand how additive manufacturing (AM) can add value to their businesses. This makes sense because for a long time, additive tech didn’t meet the threshold for producing industrial-grade parts.
Cloud technology presents manufacturers with opportunities to improve the flexibility, scalability and efficiency of their operations. Realizing these benefits will require more than simply doing a one-to-one transfer of current technology to cloud-based servers.
More and more manufacturers are seeing productivity as a crucial factor to their business success. In the meantime, business models are changing from the large quantities and few variants to small quantities with frequently changed variants. This change requires high flexibility during production.
Much has changed in the world of automotive accessory designing, engineering, and manufacturing in the past few years. Sales and after sales of automotive parts have witnessed a surge in data-usage across the horizontal and vertical value chains between suppliers, business partners, internal departments, and the end-customers.