The latest statistical process control software offers manufacturers easy-to-use and effective real-time process quality control
The classic manufacturing conundrum is how to make products quicker, cheaper, and better.
All fixtures are designed to hold a workpiece in position firmly and accurately during a manufacturing process.
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Visitors to the Valley of the Sun were recently treated to a dizzying display of software technology at Arizona’s Phoenix Convention Center. From June 4-7, the Siemens PLM Connection—Americas 2018 user conference hosted thousands of visitors from hundreds of manufacturing companies.
It’s the machine tool acronym you never bother to put into words: CNC. And much of the time it’s probably OK to view your “computer numerical control” as a black box doing magic. But if you’re struggling with high-speed machining, need better surface finishes or higher accuracy, have training and retention problems, or want a better handle on your production efficiency, the answer just might be the latest iterations of those three little letters.
Unveiled at its Insights 2017 customer conference today, Epicor Software Corporation, a global provider of industry-specific enterprise software to promote business growth, introduced the latest version of Epicor ERP, the global enterprise resource planning solution in use today by thousands of customers in 150 countries worldwide.
With the latest product lifecycle management (PLM) tools, manufacturers take aim at speeding developments using the Digital Thread, an integrated set of CAD/CAM/CAE and cPDM (collaborative Product Data Management) solutions that weave together new Digital Twins of manufacturing processes.
In the aerospace world, as in all sectors of manufacturing, the race is on for faster, more automated and connected machining operations. Aerospace builders have steadily pushed for more automotive-like automation over the past several years in order to improve productivity and more effectively handle large order backlogs in commercial aviation.
Today, the ideal factory can achieve levels of self-controlling (and perhaps self-learning) production processes, in which production reacts autonomously to changes or faults and takes appropriate measures.