Articles

Gauge Repeatability and Reproducibility Studies and Measurement System Analysis: A Multimethod Exploration of the State of Practice

Authors
  • Rathel R. Smith (Southwest Missouri State University)
  • Steven W. McCrary (Missouri State University)
  • R. Neal Callahan (Southwest Missouri State University)

Abstract

The manufacturing environment, by its very nature, relies on two types of measurements to verify quality and to quantify performance: (1) measurement of its products, and (2) measurement of its processes. Therefore, product evaluation and process improvement require accurate and precise measurement techniques. Due to the fact that all measurements contain error, and in keeping with the basic mathematical expression: Observed value = True value + Measurement Error, understanding and managing "measurement error," generally called Measurement Systems Analysis (MSA), is an extremely important function in process improvement (Montgomery, 2005). In the early 1990's, the Automotive Industry Action Group formalized MSA in the automotive industry with its publication of Measurement Systems Analysis, Reference Manual, now in its Third Edition, eventually becoming a de facto standard of the entire manufacturing industry (AIAG, 1992, 2002).

Keywords: manufacturing|materials testing|metrology|quality control|research|statistical methods

How to Cite:

Smith, R. R. & McCrary, S. W. & Callahan, R. N., (2007) “Gauge Repeatability and Reproducibility Studies and Measurement System Analysis: A Multimethod Exploration of the State of Practice”, The Journal of Technology, Management, and Applied Engineering 23(1).

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Published on
01 Jan 2007
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