Evaluating the Measurement Process: A Better Way to Do Reliability & Reproducibility Studies

Evaluating the Measurement Process: A Better Way to Do Reliability & Reproducibility Studies

Evaluating the Measurement Process or EMP, is a technique based on process behavior charts that allows you to discover what is happening in the data more efficiently. Designed under the guidance of statistician, author and quality expert Donald J. Wheeler, the EMP study begins much like a gage reliability & reproducibility study, but then immediately places the data on an average and range chart. An emphasis on the qualitative assessment of the data prior to computing estimates of the various quantities can result in a more informed and useful analysis than that obtained by a computational approach alone.

While the EMP approach can be adapted to many different data structures and collection schemes, this paper illustrates the basic EMP study using the same data collection strategy used in a gage R&R study.

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  향후 JMP 사용자를 위한 월간 뉴스레터인 Monthly User Guide를 수신하는 데 동의합니다.
  향후 JMP에서 제공하는 제품 정보 및 서비스를 수신하는 데 동의합니다. 언제든지 JMP에서 이메일을 수신 거부할 수 있습니다.

JMP는 SAS Institute Inc.의 한 부서이며 귀하의 정보는 SAS 개인 정보 보호 정책 준칙에 따라 존중하며 보호합니다.

 
 

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