Concepts
of Control Charts
Statistical Process Control (SPC) is the
application of statistical techniques to determine if the
outputs of a process conform to target product or service
models. One of the most common and useful tools in SPC is
the control chart. Concepts of Control Charts demonstrates
how to analyze control chart data so that quality technicians
and other professionals can judge whether a process has changed,
and by how much. They will also be able to associate patterns
on a chart with specific influences that are affecting a process
to decide whether they want to address these influences.
Course Format
This is a self-paced course that can be started at any time.
You have 365 days to complete this course.
COURSE LENGTH: 16 Hours
CEU'S: 1.6
Learning Outcomes
Upon the completion of this course, you will be able to:
- Identify the benefits and main components
of control charts
- Identify commonly used attributes and
variables control charts, including how the charts measure
different types of variation in processes
- Distinguish and identify nonrandom patterns
commonly displayed in control charts
- Identify initial considerations when
planning a control chart analysis
- Given a sample of data, construct commonly
used variables charts (X-bar & range, mean, median,
standard deviation) and interpret the results
- Given a sample of data, construct commonly
used attributes charts (proportion defective, number of
defectives, number of defects, number of defects per unit)
and interpret the results
Seminar Fee: $415
Each participant will receive a Certificate of Completion
upon successful completion of the seminar.
Related Courses
Concepts of Control Charts Executive
Overview
|
