Title:  Measurement Performance Improvement Using Statistical Tools

In today's business climate, it is important for the laboratory to be efficient in its operations including making continual measurement process improvements in the calibration and testing environment. Measurements made today are more precise and accurate and one cannot make a "decision on a hunch" as in the past. The measurement decision-making process, with its associated measurement uncertainty data, interpretations of specifications, and assignment of calibration intervals, requires use of statistical tools such as Statistical Process Control (SPC), False Accept Risk, Hypothesis Testing and others. The use of industry-proven tools covered in this workshop helps establish a laboratory's reputation in providing the correct solutions to its customers and maintaining its accreditation. 

http://www.a2la.org/training/MeasPerfImp.cfm?private=no