{"id":4770,"date":"2021-09-21T18:11:43","date_gmt":"2021-09-21T17:11:43","guid":{"rendered":"https:\/\/www.theleansixsigmacompany.africa\/en\/?p=4770"},"modified":"2021-09-21T18:11:43","modified_gmt":"2021-09-21T17:11:43","slug":"measurement-system-analysis","status":"publish","type":"post","link":"https:\/\/www.theleansixsigmacompany.africa\/en\/blog\/algemeen\/measurement-system-analysis\/","title":{"rendered":"Measurement System Analysis"},"content":{"rendered":"
Basic Principles of Measurement<\/strong><\/p>\n It\u2019s an argument can be made for asserting that quality begins with measurement. Only when quality is quantified can meaningful discussion about improvement begin. Conceptually, measurement is quite simple: measurement is the assignment of numbers to observed phenomena according to certain rules. Measurement is a sine qua non of any science, including management science.<\/p>\n What is MSA (Measurement System Analysis) <\/strong><\/p>\n \u201cIf you can measure what you are talking about and you can express it with the numbers, then I believe that you have knowledge about the topic!\u201d\u00a0 Lord Kelvin<\/p>\n<\/blockquote>\n Measurement System Analysis uses specifically designed experiments to identify components of variation in a measurement system. The resulting data are analyzed to ensure the integrity of data produced by the measurement system. We also analyze the data to understand the impact of measurement error on decision making with that data<\/p>\n If a measurement system cannot be made capable it may be necessary to establish temporary data collection by another method to move the project forward<\/p>\n So MSA is a study that analyzes the impact of:<\/p>\n Each component affects the assignment of a value to a measurement characteristic<\/p>\n MSA is not just calibration and is not just Gage Repeatability and Reproducibility (R&R)<\/p>\n When shall we use MSA? <\/strong><\/p>\n Before you\u2026<\/p>\n You should\u2026<\/p>\n Bad Data = Bad Decision<\/strong><\/p>\n Poor measurement systems can be costly by Rejecting satisfactory outputs or accepting unsatisfactory outputs or causing a capable process to appear to have poor capability or even Creating unnecessary expense of trying to fix a process where the primary source of variability is from the measurement system<\/p>\n Components of Variation<\/strong><\/p>\n Fundamentally, any item measure should meet two tests:<\/p>\n A good measurement system possesses certain properties. First, it should produce a number that is \u2018\u2018close\u2019\u2019 to the actual property being measured, i.e., it should be accurate. Second, if the measurement system is applied repeatedly to the same object, the measurements produced should be close to one another, i.e., it should be repeatable. Third, the measurement system should be able to produce accurate and consistent results over the entire range of concern, i.e., it should be linear. Fourth, the measurement system should produce the same results when used by any properly trained individual, i.e., the results should be reproducible. Finally, when applied to the same items the measurement system should produce the same results in the future as it did in the past, i.e., it should be stable.<\/p>\n Below the components of the Measurement variation<\/p>\n All these components are covered in details in the green belt training<\/a> and theblack belt training<\/a> that we deliver.<\/p>\n Measurement system problems fall into two categories<\/p>\n Let\u2019s see together what are the guidelines of Gage R&R<\/p>\n Gage R&R Study Guidelines<\/strong><\/p>\n If you are working with attribute data, you can run Attribute Gage R&R<\/p>\n Running an Attribute Gage R&R<\/strong><\/p>\n If you need to know more and practice some exercises on the MSA, enroll for one of our Green Belt Courses<\/a> or Black Belt courses<\/a><\/p>\n <\/p>\n","protected":false},"excerpt":{"rendered":" Basic Principles of Measurement It\u2019s an argument can be made for asserting that quality begins with measurement. Only when quality is quantified can meaningful discussion about improvement begin. Conceptually, measurement is quite simple: measurement is the assignment of numbers to observed phenomena according to certain rules. Measurement is a sine qua non of any science, […]<\/p>\n","protected":false},"author":10204,"featured_media":4776,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[27,39],"yoast_head":"\n\n
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