Measurement System Analysis
Improvement decisions rely on data. When measurement systems are inconsistent, biased, or unstable, organisations risk acting on noise rather than reality. Measurement System Analysis (MSA) provides a structured way to test whether data is reliable enough to justify improvement, control, and investment decisions.
Technique Overview
Measurement System Analysis Definition
Measurement System Analysis (MSA) is a structured evaluation of how a measurement system performs relative to the process it is intended to measure. It examines sources of variation arising from equipment, people, methods, and conditions to determine whether observed data reflects true process performance or measurement error (Burdick, Borror and Montgomery, 2003).
Measurement System Analysis Description *
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Business Evidence
Strengths, weaknesses and examples of Measurement System Analysis *
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Business Application
Implementation, success factors and measures of Measurement System Analysis *
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Professional Tools
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Further Reading
Measurement System Analysis web and print resources *
Measurement System Analysis references (4 of up to 20) *
- Burdick, R.K., Borror, C.M. and Montgomery, D.C., 2003. A review of methods for measurement systems capability analysis. Journal of Quality Technology, 35(4), pp.342–354.
- Doshi, J.A. and Desai, D.A., 2019. Measurement system analysis for continuous quality improvement in automobile SMEs: multiple case study. Total Quality Management & Business Excellence, 30(5-6), pp.626-640. https://doi.org/10.1080/14783363.2017.1324289
- Galli, B.J., 2020. Measurement system analysis and system thinking in Six Sigma: How they relate and how to use them. International Journal of System Dynamics Applications (IJSDA), 9(1), pp.44-62.
- Hultman, V., 2016. Capability study and measurement system analysis: Case of Bosch Rexroth AB. Luleå University of Technology.
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