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MSA is a structured method to understand the measurement uncertainties using various statistical methods.
MEASUREMENT SYSTEM ANALYSIS (MSA)
89259 06892
Duration | 8 Hours – 2hrs/day VILT
+ 8 Hrs Practical session at Training centre
ELIGIBILITY:
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Working professionals with any degree/Diploma and minimum of 1 year experience
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Knowledge on SPC - Preferably SPC course completion
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Measurement skill to use Vernier & micrometer
CERTIFICATION CRITERIA:
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Attendance – 90% Min
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Assignment completion – 100%
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Post-test assessment score – 70% Min
HIGHLIGHTS
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MSA concepts explained with real time industry case studies
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Hands-on sessions on Excel / Minitab for statistical analysis
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End of Module Assessments enable instructor to ascertain whether students have understood the program
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Practical sessions on the application of MSA concepts enhance the knowledge
CONTENTS
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Types of Data
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Basic Statistics
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Overview and importance of MSA
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Sources of measurement variation (Repeatability, Reproducibility, Linearity, Bias)
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MSA for continuous variable data – Gage R&R
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MSA for Attribute data – Kappa, Miss rate , False alarm rate, Kendall coefficient
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Practical exercise for Gage R&R and Attribute MSA
OUTCOMES
By The End Of Course The Learner Will:
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Have an overview of Measurement system analysis
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Be able to determine Gage R&R for continuous variable data
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Be able to perform MSA for attribute data
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Be able to improve the measurement systems at their respective workplace