MSA | Measurement System Analysis

What is Measurement System?

Every decision taken in our organization, society our daily life is based on data. therefore every data is collected using measurement or inspection activity.

In industry, lots of data are measure, on that basis they make decisions for the product or process.

So the collection of operations, procedures, gauges and other equipment, software and personnel used to assign number to characteristics being measured. Similarly, the complete process is to obtaining data by measurement is called the measurement system.

What is Measurement System Analysis (MSA)?

First of all, if our measurement system has an error, then we get the incorrect data. Therefore the decision taken based on wrong data will result in the failure of the process or product.

So, by using statistical study and experiments conducted, we analyze the variation present in the result of inspection, measurement & test equipment system.

Hence the Measurement System Analysis is defined as the method of determination of variation in the process due to measurement system.

For the reason that the measurement system analysis (MSA) is a core element in Production Part Approval Process (PPAP).

The Guideline says that before going for process analysis through Statistical Process Control (SPC), the Measurement system should have an acceptable level of variation. Therefore MSA should be done before SPC.

The source of variation in measurement system is due to the following:

• Man – The appraiser/Operator
• Machine – The measuring device, Gauges, instrument, software etc.
• Material – The object/Part being measure
• Method – Method of test, use of gauge, sample preparation etc.
• Environment – Temperature, Light’s Lux level etc.

So the total variation consist of 5 types

1. Process related –
   • Part To part Variation
   • Within Part Variation
2. Measurement system related
   • Equipment Variation
   • Appraiser variation
   • Variation due to interaction

Measurement System Errors

So the measurement system errors can be classified into two categories

1. Accuracy (Location Variation) – It is described as the difference between the measured value and actual / reference value also known as bias.

2. Precision (Width variation) – It is described as the variation in the inspection due to measurement system error also known as measurement variation.

What are the errors to be understand & categories for MSA studies?

1. Bias – Difference between measured value & actual value so called bias.

2. Linearity – Difference in Bias over the expected operating range of gage.

3. Stability – Difference in Bias over the extended time period hence called as stability (Time period is days- Stable over time period Uses).

Types of Measurement System Analysis (MSA) studies / Methods

1. Bias Study

Bias is the deviation of the average observed average of measurement from the true value.

2. Linearity Study

The difference between the bias over the expected operating range of instrument is known as the linearity. “Does your gauge have the same bias over the entire operating range?”

3. Stability

The change in bias over the extended time period is called stability. Therefore the total variation observed with measurement system on the same master part, over an extended time period.

4. Gage Repeatability & Reproduciblity Study

Gauge R & R gives the combine variation of repeatability & reproducibility. This study conducted by two methods,

1. Range Method
2. Average and Range Method

learn more in detail about Gage Repeatability & Reproducibility (Gage R&R).

5. Attribute Measurement study

Finally, the Attribute characteristics are those characteristics where measurement values is one of a finite number of characteristics or we are not getting any measurement values. the most common example of the attribute measurement system is a go / No go gauge or visual inspection.

learn more in detail about Attribute Measurement Analysis study.

Purpose of MSA

• To quantify the variation present in Measurement system
• Ensure the stability of measurement system
• Also initiate appropriate actions to minimize the measurement system variation contributed in total process variation.

Pre-conditions while performing MSA study

• Data should be measure under routine measurement conditions.
• Basic control should be exists, so that it used without required measurement system analysis.
  • Equipment should be calibrate
  • Adequate discrimination
  • Persons are qualified
  • Un-necessary causes of variations do not exist etc.