Measurement Systems Analysis Flashcards
1
Q
Measurement Systems Analysis (MSA)
A
- A tool for analyzing for analyzing the variation present in each type of inspection, measurement, and test equipment.
- The system to access the quality of the measurement system
- Allows us to make sure that variation in our measurement is minimal compared to the variation in our process
- Experimental and mathematical method of determining how much variation within the measurement process contributes to over all process variation.
2
Q
Measurement Data
A
- Collection of methods, tools, or gages and operators used to obtain the measurements.
3
Q
Total Variation Formula
A
Total Variation = Process Variation + Measurement Variation
4
Q
Why Perform Measurement Systems Analysis?
A
- The main objection is to gauge the validity of the measuring system and try to minimize the leading to process variation due to the measurement system.
- Gauges the quality of the measurement system or instrument
- Organizations normally consider measurement data is making decisions regarding the process or business, hence should be accurate
- Data accuracy is one of the fundamental requirements in DMAIC process. It helps to evaluate the effect of the measurement system on the collected data
- If the measurement system data is inaccurate, we will make the decision based on incorrect data
- Monitoring and measuring resources is an important requirement in quality management systems such as ISO 9001, AS9100 etc.
5
Q
Fundamentals of Accurate Measurement System
A
- Measurement System Analysis aims to qualify a measurement system for us by quantifying its accuracy, precision, and stability.
-
Measurements are said to be accurate: if their tendency is to center around the actual value of the entity being measured. Attained when the measured value as a little deviation from the actual value.
- Bias
- Linearity
- Stability
-
Measurements are precise: if they differ from one another by a small amount
- Repeatability
- Reproducibility
-
Measurements are said to be accurate: if their tendency is to center around the actual value of the entity being measured. Attained when the measured value as a little deviation from the actual value.
6
Q
Accuracy
A
- The difference between the true average and the observed average.
- If the average value differs from the true average, then the system is not accurate
- This is indication of an inaccurate system
- If the average value differs from the true average, then the system is not accurate
7
Q
Accuracy
Bias
A
- The difference between observed average measurement to be the true or reference value
- To measure the Bias first needs to measure the same part number of times and then calculate the average of measurement
Simply Bias = Average of measurement value - reference or true value
8
Q
Accuracy
Linearity
A
- The difference in Bias value over the normal operating range of the measuring instrument.
- In other words, it is the change in Bias over the operating range of the measurement equipment.
9
Q
Accuracy
Stability
A
- Refers to the capacity of the measurement system to produce the same values over time when measuring the same sample.
- In other words, it is the difference in the average of at least 2 sets of measurements with a gage over time.
- A measurement system is stable if there is no special cause of variation affecting the measurement system bias over time.
10
Q
Precision
A
- The precision of the measurement system is he degree to which repeated measurement under unchanged conditions show the same result.
- In other words, precision refers to the closeness of two or more measurements to each other
11
Q
Precision
Repeatability
A
- The variation between successive measurements of the same part, same characteristic, by the same person using the same gage.
- In other words, how much variation do we see in measurements taken by the same person, on the same part, using the same tool?
12
Q
Precision
Reproducibility
A
- The difference in the average of the measurements made by different people using the same instrument when measuring the identical characteristic on the same part.
- In other words, how much variation do we see in measurements taken by different people on the same part, using the same tool?
13
Q
Measurement Error
A
- Measurement Error is considered to be the difference between a value measured and the true value.
- It depends upon two things:
- What kind of instrument you are using
- Who is the person using an instrument
- Therefore, anytime you are using an instrument, keep your mind open about measurement error possibilities
- It depends upon two things:
14
Q
How much Measurement Error is Acceptable
A
- According to AIAG (2002), a general rule of thumb for measurement system acceptability is:
- Under 10% error is satisfactory
- 10% to 30% error suggests that the system is acceptable. Also, it depends on the importance of the application, cost of the measurement device, cost of repair, and other factors
- Consider over 30% error is unacceptable and you should improve the measurement system