JMP Software: Process Control Design Using SPC
Duration: 2.0 days CEU: 1.2
This course covers the basic concepts and methodologies associated with designing closed loop process controls using statistical process control for variables and attributes data.
Learn how to
- select the correct controls for a process
- create a process control system
- determine the capability of a process
- develop a contol implementation strategy.
Who should attend
Employees who actively work on any aspect of process development and controls associated with the measurement of continuous variables. This course is required for process engineers, QA engineers, and their managers.Prerequisites
There are no prerequisites for this course, although it is recommended that you attend JMP Software: Design and Analysis of Experiments and JMP Software: ANOVA and Regression before taking this course.Course Contents
Introduction and Basic Statistics- SPC a basis for control
- basic statistics
- normal distribution
- standard error of the mean
- central limit theorem
- simple linear regression
- clear product specifications
- effective metrology
- process characterization
- sampling plan
- control chart selection (variables and attributes)
- alarms and out of control action plans (OCAP)
- process documentation
- operator and engineering training
- database
- routine line audits
- determining process stability prior to computation of capability
- Cp and Cpk
- application of specifications and yield estimation
- tests for normality
- distribution fitting
- Sigma and z as measures of process capability
- measures of process capability for attributes
- Management
- Process Engineer
- Process Control Specialist
- Supervisor
- Operator