Evaluating & Monitoring Your Process Using MSA and SPC
Jul 8, 2020 9:49 AM
Fish Mastering MSA.zip
Understand measurement system analysis principles, including comparing Gauge R&R to the EMP (Evaluating the Measurement Process) approach described by Don Wheeler in the book EMP III –Using Imperfect Data (2006). Use the attached data to use to practice using some of the techniques presented. The data, updated regularly, is also found at goldensnowball.com.
See how to:
Quantify measurement system variation and how it impacts your process
Understand basic measurement system evaluation principles
Understand purposes and types of Gauge Studies
Understand considerations for conducting a Gauge Study: Random part order, time of day, operator confidentiality, following standard procedures, monitoring but not interfering with tests
Use EMP method to achieve an interclass correlation perspective for classifying a measurement system
Interpret Range Charts, Parallel Plots, EMP Results, Gauge Classification
Understand purpose of Process Screening: To determine if process is steady, stable and predictable so you can use it to monitor future performance and/or evaluate impact of changes on the process
Examine Voice of Process: Is process in control and exhibiting minimal variance?
Examine Voice of Customer: Is process yielding good/best parts that are within specification?
Use Control Chart Builder to examine process capability
Interpret Individual and Moving Range Charts, Limit Summaries, XBar and R Charts, Process Capability Analysis
Understand purpose of Multivariate Control Charts introduced in JMP 15: To identify two or more interrelated process variables where the interrelation might impact process capability although the individual processes might appear in control