There is a newer version of this course. Please see the schedule for the new JMP Software: Statistical Process Control course.
This course teaches you how to set up and maintain a statistical process control system using JMP software.
Learn how to
- describe variation
- generate and interpret basic quality charts
- generate and interpret control charts for measurement data
- improve control chart performance
- engineer an SPC system
- calculate and interpret process capability indices
- handle data that does not meet assumptions, such as batch processing, correlated data, attribute data, or multivariate data.
Who should attend
Individuals who want to learn how to use JMP to perform statistical process control and process capability analysis
Before attending this course, it is recommended you complete the JMP Software: A Case Study Approach to Data Exploration course or have equivalent experience.
This course addresses JMP software.
Control Charts for Measurement Data
- reviewing the historical perspective of SPC
- describing the concept of variation
- introducing basic quality tools
SPC System Engineering
- using JMP software's Control Chart Builder
- building XBar-R, XBar-S Charts
- building X-MR Charts
- applying additional rules
- using phases in the Control Chart Builder
- describing response variables
- constructing charts
- using Phase I/Phase II controls
- manufacturing Out-of-Control Action Plan (OCAP)
- using SPC System Monitoring
- calculating process capability indices
Nonstandard Control Charts
- generating Binomial and Poisson charts
- adjusting control charts for multiple sources of variability
- interpreting variance components
- creating rare event charts using the Control Chart Builder
- adding probability limits to a control chart
- measuring autocorrelation
- compensating for autocorrelation in control charts
- generating EWMA charts
- implementing multivariate control charts
- using the knowledge gained in the course to answer business questions