Data mining and Big Data are hot topics. Your company develops process mining software; how does it differ from data mining?
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Automotive supplier Faurecia (Nanterre, France) decided it needed to get serious about Industry 4.0 fast.
The aerospace industry continues to increase its use of composites, a phenomenon that’s pushing academics, trade groups and manufacturers to research and develop methods to enhance the techniques and tools for using the materials.
Our focus has always been on helping manufacturers improve quality, productivity and visibility. In Sight Machine 2.0, among other things, we’ve added a set of enhancements to improve visibility.
To run factories at optimal efficiency, plant managers need to mine real-time shop-floor operational data as fast as possible, to quickly determine where and when any manufacturing process bottlenecks occur. With today’s shop-floor data management software and related hardware solutions, manufacturers can leverage more key production performance data than ever in order to fine-tune their manufacturing processes.
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
The latest statistical process control software offers manufacturers easy-to-use and effective real-time process quality control
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.”