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How Collaborations Expedite Tooling Progress

Ongoing exchange between CAD/CAM software technology developers and cutting tool manufacturers is an excellent illustration of how technology collaborations can create productivity gains in manufacturing. Several examples involve our company and cutting tool manufacturers.

How a Race Team Improves Its Performance

Like most auto manufacturers, NASCAR race teams are motivated to make vehicle parts better, cheaper and faster. Hundreds of the leading Fortune 500 brands are highly visible on the evocative vehicle paint schemes, pointing to continued healthy investment in the sport.

Rethinking Control Systems for Multi-Well Pads

Drilling advancements have spurred the evolution of oil and gas operations from simplistic single-well pad fields to more complex multi-well pads. Today, many producers are using fracking and lateral drilling techniques to place 10 or more wells on one pad.

Taking the Factory’s Pulse with Shop-Floor Monitoring

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.

Quality Inspection and the CAD Connection

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 Gets Connected

“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.”