SPC (Statistical Process Control)
Introductory and Advanced

This course will introduce participants to statistical thinking and will develop the foundation for the application of practical SQC tools and techniques most often used. The course will be taught in two phases: Introductory and Advanced. 

The introductory course is for personnel who will be responsible for collecting data, observing trends, and alerting decision makers when out of tolerance results occur. It is a “how to do it course”, with some rationale as to why. The advanced course is for personnel who will be expected to oversee the use of SPC and to make decisions based on the data the trend charts are presenting.  This course covers the basic “how to” but with a much heavier emphasis on why. It will also get into an introduction to Design of experiments so decision makers can take pro-active decisions on correcting processes where multi-variable causes are suspect.

The introductory course does not require extensive math background beyond high school algebra. For this course we also recognize that participants may be rusty in applications of math involving fractions and decimals as well as basic algebra. Therefore we start off with eight or twelve hours of math review, the amount of time determined by a pre-test.

The advanced course requires that participants have good understanding of algebra and a basic knowledge of elementary calculus, not so much to perform calculations but appreciate where theory is derived from.  It also requires some basic understanding of probability and statistics.

The topics covered in both courses are similar, but content is delved into more deeply for the advanced course.

Topics covered:

Phase I: An Introduction to Statistical Process Control

• Objectives of Statistical Process Control (SPC)
• Shop math review
• Tools for process control
• The importance of distribution
• Measures of central tendency
• Measures of dispersion (variation)
• Computing the average, range, and standard deviation with negative numbers in the data
• Definition of a process in control
• Control limits vs specification limits
• Attribute control charts
• Process capability
• Standard deviation
• Definition of a capable process
• Distribution comparisons
• Some alternatives for incapable processes
• Capability studies: control chart method
• Using the Cp and Cpk
• Limitation to Using the Cp and Cpk

Phase II: Advanced Understanding of Statistical Process Control

• Objectives of Statistical Process Control (SPC)
• Tools for process control
• The importance of distribution
• Measures of central tendency
• Measures of dispersion (variation)
• Computing the average, range, and standard deviation with negative numbers in the data
• Definition of a process in control
• Control limits vs specification limits
• Attribute control charts
• Process capability
• Standard deviation
• Definition of a capable process
• Distribution comparisons
• Some alternatives for incapable processes
• Capability studies: control chart method
• Using the Cp and Cpk
• Limitation to Using the Cp and Cpk
• Design of experiments (DOE)
• Where to use DOE
• Statistics for DOE
• Fundamental Applications
• Basic analysis of variances (ANOVA)

Below are the dates, times, location and other registration information for this course.

5 weeks (Total 20 hours)

WHAT:                Learn the principles and techniques for SPC.

WHEN:                Every Wednesday, February 21 - March 21, 2007

TIME:                   12:30 a.m. - 4:30 p.m.

WHERE:             SFMA Training Room
                       1000 W. McNab Road
                       Pompano Beach, FL 33069
                       954.941.3558

COST:            $395.00 - Members

                      $495.00 - Non-members

BACK to main Training page