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Measurement System Analysis

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CIRP Encyclopedia of Production Engineering

Synonyms

Measurement system capability analysis; MSA

Definition

According to international standards, measurement system analysis is defined as “a series of studies that explains how a measurement system performs” (ISO 13053-2 2011) and consists of “a set of methods used to evaluate the uncertainty of a measurement process under the range of conditions in which the process operates” (ISO 22514-1 2014).

[The following is added in the definition of “measurement system” since it is not available in the encyclopedia: A measurement system is a “collection of operations, procedures, devices and other equipment, software, and personnel used to assign a value to the characteristic being measured” (ISO/TR 14468 2010).]

Theory and Application

Introduction

Due to the fact that all measurements contain errors, it is impossible to determine the exact variation of a production process. The observed process variation is always the superposition of the production process variation (part variation) and...

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References

  • Automotive Industry Action Group (AIAG) (1992) QS 9000: measurement systems analysis. Chrysler Group LLC/Ford Motor Company/General Motors Corporation, Michigan

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Correspondence to Robert Heinrich Schmitt .

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Schmitt, R.H., Bauza, M. (2018). Measurement System Analysis. In: The International Academy for Produ, Laperrière, L., Reinhart, G. (eds) CIRP Encyclopedia of Production Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35950-7_16795-2

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  • DOI: https://doi.org/10.1007/978-3-642-35950-7_16795-2

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35950-7

  • Online ISBN: 978-3-642-35950-7

  • eBook Packages: Springer Reference EngineeringReference Module Computer Science and Engineering

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Chapter history

  1. Latest

    Measurement System Analysis
    Published:
    03 January 2018

    DOI: https://doi.org/10.1007/978-3-642-35950-7_16795-2

  2. Original

    Measurement System Analysis
    Published:
    15 September 2014

    DOI: https://doi.org/10.1007/978-3-642-35950-7_16795-1