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Design
of Experiments |
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structured
approach to efficiently characterize, improve, and optimize
a process by systematically changing process inputs (e.g.
temperature and pressure) and analysing the results. |
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Tool
Matching, Sampling and Problem Solving |
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systematic data collection and analysis to understand
current process performance and identify areas for improvement.
The course includes machine matching, sampling plan selection,
variance components, process stability
and capability (Cpk), and graphical data analysis.
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Introduction
to JMP and Exploratory Data Analysis |
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commonly used graphs
and data manipulation capabilities of the JMP statistical
data analysis software. The course goes well beyond a description
of the software to include exploratory data analysis. |
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| Expertise. Dr.
Czitrom has
trained more than 5,000 engineers and managers from industry worldwide. |
Training
approach. The training is centered on the engineering needs
to understand and improve process performance. The approach is
practical. The material covers only the statistical topics that
are needed, and these are introduced on an
as-needed basis.
The emphasis is on graphical data analysis, which makes the results
easy to understand. Dr.
Czitrom’s degrees
in statistics, physics and engineering as well as her work in industry
and academe back this blend of statistics with practical engineering
applications.
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Training
material. The material Dr. Czitrom developed
is rich in real industrial examples, most taken from the semiconductor
and related industries. |
Software.
The training incorporates the JMP statistical
data analysis software. This allows engineers to apply the concepts
covered in class to their own data immediately after training.
Dr. Czitrom has introduced the JMP software to engineers in several
companies in the United
States, Asia and Europe. She is a SAS Accredited
Trainer in JMP. |
Duration. The
most effective way to organize the three-course suite for on-site
training is over a two-week period, with training in the mornings
and one-on-one consulting with engineers in the afternoons. Consulting
immediately after training helps engineers to quickly apply the
new concepts to their own data, providing an optimal learning
experience. |
Prerequisites. No previous statistical knowledge is necessary. |
Customization. Training
can be tailored to meet specific company needs. |
Six
Sigma. The courses
cover the technical content of the DMAIC (Define, Measure, Analyze,
Improve, Control) methodology of Six Sigma. |
Language. Dr.
Czitrom speaks English slowly and clearly without
slang, making it easier for non-native speakers to understand.
She has been doing training and consulting in Asia since the
year 2000. Also, because much of the training is hands-on using
the computer, during training engineers can see what needs to
be done from the screen on the wall. The training material
is in clear simple English. Dr. Czitrom also speaks Spanish and
French. |
Class
Size. Groups of
12 to 15 participants are optimal due to the computer-based hands-on
nature of the training, but the number can be adjusted to suit customer
needs. |
Training
Room Setup. Each participant must have the
JMP software installed on a computer. A free trial copy that
lasts 40 days may be downloaded from the JMP
website. One of the computers should project onto a screen on the wall. |
Training Manuals. |
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The
three training manuals are available for purchase on one CD. |
CD contents:
- Introduction to JMP
- Tool Matching and Sampling
- Design of Experiments
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Cost: US$20
plus transportation |
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