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A practical methodology for analysing and improving the measurement system.

G Knowles¹, J Antony, G Vickers

¹University of Warwick, Coventry, United Kingdom.

Quality Assurance (San Diego, Calif.)

|January 19, 2002

Summary

Manufacturing relies on measurement systems for critical decisions, but data quality is often overlooked. Evaluating the Measurement Process (EMP) by Wheeler and Lyday provides the best approach for accurate and useful data.

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Area of Science:

Industrial Engineering
Quality Management
Metrology

Background:

Measurement systems are crucial for manufacturing decisions, including product acceptance and process control.
Often, the quality of data generated by these measurement systems is not adequately considered.
Flawed data can compromise critical manufacturing decisions and undermine overall quality.

Purpose of the Study:

To review available technical and practical approaches for evaluating measurement processes.
To identify the most effective method for process improvement practitioners.
To highlight the importance of data quality in manufacturing decision-making.

Main Methods:

Literature review of existing technical and practical approaches for measurement system evaluation.
Analysis of methods based on the priorities of process improvement practitioners.
Comparative assessment of different evaluation techniques.

Main Results:

Several approaches for measurement process evaluation exist, varying in technical depth and practical applicability.
The Evaluation of the Measurement Process (EMP) by Wheeler and Lyday is identified as a key method.
EMP offers a favorable balance between accuracy and practical utility for manufacturing contexts.

Conclusions:

The Evaluation of the Measurement Process (EMP) is recommended for its balance of accuracy and utility.
Prioritizing measurement data quality is essential for effective manufacturing decision-making.
Implementing robust measurement evaluation methods enhances process improvement initiatives.