Statistical Process Control
Summary:
Statistical Process Control, or SPC, is a technique used by design, manufacturing, process, and quality engineers to determine whether a process (manufacturing, service) is being run consistently. SPC is implemented to control special processes [processes that are outside of normal variability]. Please see Design of Experiments for controlling or minimizing normal variability.
Attendees:
ISO/TS 16949 requires this skill in every department to participate in the process; however, many other industries have found this course to be especially useful to manufacturing and engineering. Previous attendees have included both manufacturing engineers and production operators; manufacturing support personnel; and equipment engineers and technicians.
Topics:
Introduction
Overview
Measurement Accuracy and Errors
Roundoff Rules
Tolerance
Distributions
Control Charts
p
np
c
u
x-bar, R
Capability and Control
Texts Used:
McDCG Class Notes and Text, Statistical Process Control
Course Duration:
In-house offering: 2 days, plus one additional day at outset to prepare company-specific examples for use in class. Recommended additional day one month after class completion for follow-up review and resetting of group to ensure that the path being worked on is correct. If class is to be given more than once, it is more cost effective to schedule subsequent classes in monthly intervals and instructor will stay course duration + one day for consultation.





