Measurement System Analysis

Course Pre-requisite:

No pre-requisite is required to take this course.

Lean Six Sigma Acclerator™ Program

Online Bootcamp, Live-Instructor Led

Program Overview

MSA training is used to determine if a measurement system can generate accurate data, and if the accuracy is adequate to achieve your objectives, therefore participants should comprise of engineers, quality professionals, supervisors and metrology technicians.

Measurement system analysis (MSA) is an experimental and mathematical method of determining how much the variation within the measurement process contributes to overall process variability. The five parameters which constitute the focus of MSA are: bias, linearity, stability, repeatability and reproducibility.

Who Should Attend:

Course Customizations and Durations

VRI offers fully customizable Workshops to fit any industry or schedule.

Learning Objectives:

What Our Students Have To Say

“I commend VRI and our Instructor for the comprehensive structure of the course and all the materials and information provided that were a value-added component to my professional development.”

“I liked the virtual activities. It broke up the lectures really well and I really enjoyed being in a team and using the breakout rooms.”

“Overall, this course was a highlight for my career – Thank you!”

“I thought the online software was very well done and extremely easy to navigate and operate.”

“What I like most is the thoroughness of the information and hands-on examples.”

“The course has greatly prepared me to take on a project on variance reduction. The instructor did a great job of keeping the material engaging and enriching. Explanations of concepts were straight to the point.””

“The exercises that required the use of the analysis software were some of the best. Like any tool, the more practice, the more efficient you will be.”

“The course was very structured and followed the DMAIC path.”

“The real-world examples where we practiced using the software to analyze. I also like the focus on data.”