Measurement system capability reference manual

Everyday our lives are being impacted by more and more data. We have become a data driven society. In business and industry we are using data in more ways than ever before.

Today manufacturing companies gather massive amounts of information through measurement and inspection. When this measurement data is being used to make decisions regarding the process and the business in general it is vital that the data is accurate. If there are errors in our measurement system we will be making decisions based on incorrect data.

We could be making incorrect decisions or producing non-conforming parts. A properly planned and executed Measurement System Analysis MSA can help build a strong foundation for any data based decision making process. MSA is defined as an experimental and mathematical method of determining the amount of variation that exists within a measurement process.

Variation in the measurement process can directly contribute to our overall process variability. Before we dive further into MSA, we should review the definition of a measurement system and some of the common sources of variation. A measurement system has been described as a system of related measures that enables the quantification of particular characteristics. It can also include a collection of gages, fixtures, software and personnel required to validate a particular unit of measure or make an assessment of the feature or characteristic being measured.

The sources of variation in a measurement process can include the following:. All of these possible sources of variation should be considered during Measurement System Analysis. Evaluation of a measurement system should include the use of specific quality tools to identify the most likely source of variation. Most MSA activities examine two primary sources of variation, the parts and the measurement of those parts.

The sum of these two values represents the total variation in a measurement system. An effective MSA process can help assure that the data being collected is accurate and the system of collecting the data is appropriate to the process. Good reliable data can prevent wasted time, labor and scrap in a manufacturing process. A major manufacturing company began receiving calls from several of their customers reporting non-compliant materials received at their facilities sites.

The parts were not properly snapping together to form an even surface or would not lock in place. Selecting a universal measuring instruments for linear dimensions up to mm, Moscow, Publisher Standards, All Rights Reserved.

Registration Log In. Paper Titles. Methods for Selection of Measuring Instruments p. Neutrosophic Modeling of Investment Architectures p. Sustainable Development Achievements in a Database System p. Conceptual Product Design Inspired from Nature p.

Methods for Selection of Measuring Instruments. Eyes get tired, memories will dull, and energy lag. Recalibrate them now and then to keep them sharp and performing measurement at peak levels. MSA is a scientific and statistically based process that assesses the variation and precision of a measurement system. MSA measures the repeatability, reproducibility, bias, stability, resolution, and linearity of a measurement system.

Yes, it is quite common to use MSA on such non manufacturing operations such as Call Centers, where an Attribute Agreement Analysis is done to assess Call Associates performance in responding to customer phone calls. Data is all around us. Organizations are using the latest technology to capture, analyze, and utilize data to make better data-driven decisions.

But, can you always trust the data? Maybe not. Using the MSA approach, you will be able to determine whether the data that is being captured and analyzed is valid and representative of the truth. Interested in assessing your knowledge of Lean Six Sigma? Preparing for certifications? Testing your students and trainees? This test is useful for anyone interested in assessing their knowledge of Lean Six Sigma on the Black Belt level. Training your company has just become easier!

With this course you will be able to train anyone in your company on the proper techniques for achieving proper resolution of any type of problem, whether it be a transactional process, manufacturing issue, medical procedure, or personnel issue. They are: Repeatability: We say the measurement system is Repeatable if the same person measuring the same object multiple times with the same device gets the same results.

Reproducibility: The measurement system is said to be reproducible if multiple people measure the same object multiple times with the same device and all get the same results. Stability: The measurement system is said to be stable if its variation holds steady over time. Bias: Bias is a one-directional tendency of the measurement system. From our example, your scale always seems to weigh higher than it should. Bias can be adjusted for by altering the setting on the scale.

Linearity: Can the measurement system hold steady over the entire continuum of desired measurements? You want your scale to measure you and your spouse with accuracy and precision but you also want it to do the same for your pet mouse and pet elephant. That is your desired continuum of possible weights.