Articles Tagged with ''data analysis''

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.

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.

I had a discussion recently with someone who, for three decades, had been performing a statistical function at a large manufacturing company. He couldn’t understand why, in spite of excellent job performance reviews, his company had furloughed him indefinitely.

Modern manufacturing relies on consistency, and tolerances are tighter than they’ve ever been. Production capabilities are up to the task, and CMM systems help ensure that completed or in-process parts are within tolerance. The real challenge comes when anything goes wrong.

Companies with robust quality programs often struggle to make sure that projects are on track and deliver results—and to aggregate data from thousands of projects so executives can see their overall impact.

Analyzing and acting on data transformed the way Crayola does business and has enabled the company to concentrate resources where they'll have the biggest impact.

The manufacturing world is drowning in data. A recent study published by The Economist evaluates the current state of manufacturing data.

According to a new report from Frost & Sullivan, the MES market faces a growing demand.

The purpose of the system is to continuously monitor static and dynamic measurements from distributed sensors inside the Arena di Verona.