Statistical Process Control
Quality, Reliability, & Statistical Methods Training
SPC, DOE, MSA, Reliability Analysis, Regression, Hypothesis Testing
"I got more in three days than from 20+ years in manufacturing."
"The best seminar I have ever sat through. Will drive a change to the way we implement SPC."
"A joy to learn from."
"Very clear, easy to follow, very different approach."
"I have used much of the material I learned on my job in just the past 3 months."
Pinnacle Enterprise Group's (Pinnacle) gifted instructors present the application of statistical methods in a stimulating and exciting fashion. Through the use of real experiences as well as examples drawn directly from the participants' companies, they are able to present applications of statistical methods in a context that participants can identify with and understand. With a keen sense of what are typically confusing, misused, and misunderstood concepts, they have developed innovative materials, including the use of animations, to communicate key concepts in ways that are intuitive and easily understood.
Training Schedule
The following courses are held in Novi, Michigan.
All courses are held from 8:00 am to 4:00 pm.
For additional information regarding lodging and course location will be provided upon registration or by contacting Pinnacle at info@pinnacleeg.com or 248-706-1740.
Prices include meals and all course materials.
Course |
Price* |
2011 |
2012 |
Statistical Process Control - 3 days |
$1295 |
Sep. 12 - 14 |
Mar. 12 - 14 |
$1295 |
Nov. 7 - 9 |
Oct. 22 - 24 |
|
Design of Experiments - 4 days |
$1595 |
Oct. 3 - 6 |
Apr. 16 - 19 Oct. 1 - 4 |
$1295 |
Oct. 24 - 26 |
Nov 5 - 7 |
|
$495 |
Oct. 27 |
Nov. 8 |
|
$895 |
Sep. 15 - 16 |
Mar. 15- 16 |
|
$1295 |
Dec. 5 - 7 |
May 14 - 16 |
|
$895 |
Dec. 8 - 9 |
May 17 - 18 |
|
Statistics, Hypothesis Testing, & Regression - 4 days |
$1595 |
Oct. 18 - 21 |
Ap. 30 - May 3 Oct. 15 - 18 |
$495 |
Oct. 21 |
May 3 |
|
Problem Solving Methods - 1 day |
$495 |
Apr. 3 |
Oct. 1 |
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Instructors
"Dr. Wachs' teaching approach was exceptionally well suited for this course...Every time students had difficulty understanding a concept, Dr. Wachs was ready with an example to clarify the use of SPC in real engineering applications."
"Steve is an excellent instructor who taught a difficult subject in a way that was easier to understand."
"I thoroughly enjoyed the entire seminar. Steve taught us DOE methods in a simple and organized framework."
"Dr. Wachs was an outstanding instructor. She was able to bring to light many real-world examples to aid the teaching process. I felt her experience was particularly valuable. I have used much of the material I learned on my job just in the past 3 months."
"Steve is an excellent instructor who went out of his way to make sure you understood the information."
Allise Wachs, Ph.D.
Dr. Wachs has over 20 years of experience in the application of statistical methods to optimize manufacturing processes and product designs and to assess product liability risk. Her research includes the development of mathematical models to reveal optimal decision sequences. She is the president of Integral Concepts, Inc. where she assists manufacturers in the application of statistical methods to reduce variation and improve quality and productivity. Her areas of expertise include designed experimentation, statistical process control, measurement system assessment, reliability analysis, general statistical methods, and stochastic optimization. She has been an adjunct professor for the Industrial Operations & Engineering department at the University of Michigan. Dr. Wachs holds B.S. degrees in Mathematics and Statistics, a M.A. degree in Statistics, a M.S. degree in Industrial and Operations Engineering, and a Ph.D. in Operations Research, all from the University of Michigan.
Steven Wachs
Steven Wachs has a wide range of industry experience in both technical and management positions. Steve has worked as a statistician and Six Sigma Black Belt at Ford Motor Company where he has extensive experience in the development of statistical models, reliability analysis, designed experimentation, and statistical process control. Steve is currently a Principal Statistician at Integral Concepts, Inc. where he assists manufacturers in the application of statistical methods to reduce variation and improve quality and productivity. Steve has a B.S. degree in Mechanical Engineering from the University of Michigan, a M.B.A. from the University of Pittsburgh, and a M.A. in Applied Statistics from the University of Michigan.
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