Measurement Training

Interactive learning

With this course you will learn to identify sources of variation in measurement systems. You will learn methods for reducing variation so that you have more reliable, more repeatable and less variable measurements.

Why be limited to Gage Reproducibility and Repeatability (GR and R) studies when you can use the full power of designed experiments and regression analysis to reduce variation in your measurement systems?

The wave tank

An ideal way to learn measurement improvement techniques

Course participants use the wave tank to learn and apply statistical methods for reducing variation in measurement systems.

The velocity of the waves with the depth of the water changes according to known physical laws. You can thus apply techniques such as designed experiments and regression to see whether your measurements are accurate (on target), and precise (small variation).

It is a fun, interactive, challenging way to learn a useful technique.

Phone 905-271-6262

Click here to email Phil

This innovative two-day course provides you with the practical and theoretical tools to create and mainitain reliable measurement systems.For additional information on my services related to measuring performance, please click here.

• Two-day course
• Taught at your facilities
• Option to combine it with projects
• Focus is application of techniques from wave tank to real life situations
• Use statistical software (such as Minitab^TM) to conduct measurement studies to improve the precision, accuracy and linearity of measurement systems

"Phil's course enabled us to look beyond our internal knowledge of statistics and question our methods of measurement analysis." Amy Webb, Quality Assurance Superintendent, Kerr-McGee Chemical

Course Agenda

Module 1: measurement fundamentals

Six steps for improving measurement

What is measurement?

1. Define the objective of the measurement

2. Determine what to measure

Proactive or reactive indicators

3. Communicate and build trust

4. Select the measurement tools

Are we perturbing what we measure?

Quality of measurement devices and procedures

6. Monitor data quality

Five levels of management and measurement

Module 2: statistical reasoning and thinking applied to measurement

Statistical fundamentals and measurement error

The measurement error model

Measurement error expressed as a regression (linear model)

Multiple samples versus multiple measurements

QC testing

Sampling twice

Errors in measuring conformance or compliance

Module 3: analyzing measurement systems

Analyzing measurement systems

Using regression and designed experiments to analyze measurement systems

Scale reading errors

Repeatability (precision)

Expressing repeatability

Using tolerance intervals to express repeatability

Expressing repeatability for transformed measurements

Bias (error due to “methods”)

Constant bias

Implications for calibration

Linearity (nonconstant bias)

Differences between instruments and appraisers 

Stability

Sampling error>

Case Study: designing and analyzing a measurement system for the wave tank.