What you'll learn:
- Understand the basics of Measurement System Analysis (MSA) to ensure accurate and reliable measurements for quality assurance.
- Learn how measurements of accuracy and precision impact the quality of your product or service.
- Grasp the effect of a poor measurement system on product quality, leading to incorrect conclusions and decisions.
- Perform and interpret a Type 1 Gage Study, including conditions for conducting the study, using Minitab examples, and understanding key statistics.
- Use run charts to get a visual understanding of your measurement system, simplifying complex data into easy-to-understand graphical formats.
- Conduct Gage Repeatability and Reproducibility (GRR) Studies, both crossed and nested, and understand each number and graph in the output.
- Gain a clear understanding of Attribute Agreement Analysis for discrete data, including all reports and plots, Kappa Value, and Kendall's Coefficient of Concord
- Master the concepts of hypothesis testing and process capability as they relate to MSA.
- Understand the Number of Distinct Categories (NDC) in GRR studies to gauge the discriminatory power of your measurement system.
- Boost your career prospects by mastering MSA, a critical component of quality assurance and Six Sigma methodologies.
Note: Students who complete this course can apply for the certification exam by Quality Gurus Inc. and achieve the Verified Certification from Quality Gurus Inc. It is optional, and there is no separate fee for it. Quality Gurus Inc. is the Authorized Training Partner (ATP # 6034) of the Project Management Institute (PMI®) and the official Recertification Partner of the Society for Human Resource Management (SHRM®)
The verified certification from Quality Gurus Inc. provides you with 6.0 pre-approved PMI PDUs and 6.0 SHRM PDCs at no additional cost to you.
This course is accredited by The CPD Group (UK). You are eligible to claim 6.0 CPDs for this course (Accreditation# 1016217)
Before you take measurements to ensure the quality of a product or a service, you need to ensure that you have a good measurement system in place. The data collected using a bad measurement system will lead you to incorrect conclusions.
This course will teach you about Measurement System Analysis (MSA), starting with the basics.
The course starts with the basic concepts related to measurement and measurement systems.
In this, you will learn:
The effect of measurement system variation on the quality
Two categories of Measurement System Analysis: Gage Repeatability/Reproducibility (for numeric data) and Attribute Agreement Analysis (for discrete data)
Resolution and discrimination
Accuracy and precision
Measurements of accuracy: Bias, Linearity and Stability
Measurements of precision: Repeatability and Reproducibility
Type 1 Gage Study - Conditions for conducting, Minitab Example, Basic Statistics, Bias, Capability (Cg and Cgk), Percent Variation. In addition to interpreting the results, this section will explain some basic concepts, such as Hypothesis Testing and Process Capability.
Run Chart - This will show the results of the gage study in an easy-to-understand graphical format.
Linearity and Bias Study
Gage Repeatability and Reproducibility (GRR) - Crossed - Range Method, Average and Range Method, ANOVA Method, Number of Distinct Categories (NDC). In addition to interpreting the results of the Crossed GRR Study, this section also covers a lecture to explain the basics of ANOVA.
Gage Repeatability and Reproducibility (GRR) - Nested - For destructive tests.
Attribute Agreement Analysis - for Nominal and Ordinal Data, Kappa Value and Kendall's Coefficient of Concordance (KCC)
