When several devices need to be accurately sequenced in a machine vision system, the usual solution was to program a PLC to generate the necessary signals. However, a PLC is a significant investment and requires specialist knowledge to program the Relay Ladder Logic.
“Work smarter, not harder.” It’s a term often heard by just about anyone who has ever set out to perform a task. It can be found on inspirational posters and do-it-yourself home repair manuals as well as articles on life management and corporate handbooks.
The digital age promises data driven decision-making that monetizes data in ways never seen before. Is your company prepared to leverage all of its data to its full benefit? Does your company recognize data as a strategic asset to be used to strengthen competitive advantages?
Today’s software systems are advancing faster than any other time in history. Each is going in different directions. The competition is not necessarily with the software company that creates and sells a specific software such as a calibration or quality management solution—the real differences are the platforms behind the scenes.
How do you commit to realistic forecasts and timelines when resources are limited or gathering real data is too expensive or impractical? Can simulated data be trusted for accurate predictions? That’s when Monte Carlo simulation comes in.
Digital transformation is a competitive technology and business strategy that leverages data gathering to drive business efficiencies, new revenue growth, and new business models.
Turn Gage R into a tool for continuous quality improvement.
October 10, 2017
Many quality engineers don’t know the Gage Repeatability and Reproducibility, or Gage R&R, of their leak test. Many, frankly, don’t want to know because they fear how poor it may be.
Socrates said, “The only true wisdom is in knowing you know nothing.” Another great mind, Ed Morse (in his keynote address at this past year’s Coordinate Metrology Society Conference), said, “Data is only as good as what you can do with it.” If you were so inclined to put these two thoughts together, you could see the current dilemma regarding Big Data.
To produce a quality product--and continue to do so--you need data.
February 1, 2017
Quality is based on a series of facts and statistics collected together and analyzed. To produce a quality product—and continue producing a quality product—you need data.