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The MUST-KNOW for Engineering professionals who
want to be ahead of the times
A course that has been rated 4.4 on a scale of
1 to 5 by past participants
Are you having these problems ...
 yields and quality indices are stagnating;
further improvements from current levels seem like a
formidable uphill task ...
there are still too many customer complaints
...
processes are highly unstable; crisis and
fire-fighting are a way of life ?!
Let Design of Experiments put an end to
your troubles. DOE will enable you to ...
make breakthroughs in yield
and quality
solve customer and field problems
stabilise the process and minimise crises
determine the critical parameters to SPC
Come to the most extensive and
comprehensive
DOE
course in town. We cover the
following topics and more ...
W H
O S H O U L D A T T E N D
Managers, engineers and engineering assistants
in R&D; Quality & Reliability; Process Engineering;
Manufacturing or Production Engineering; Equipment or
Maintenance Engineering
The
only DOE course that covers both the
Taguchi
and the Classical
schools
We
recommend a software
that will take the number-crunching
out of
DOE
Learn
it from the former Quality & Reliability Engineering
Manager of
Texas Instruments, the first
winner of the
Singapore Quality
Award
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Day 1
 Intro to statistical methods
- Mean and std deviation
-
Population and sample
- Normal distributions
- Standard z-distribution
- Central Limit Theorem
Linear regression
Correlation analysis
Confidence intervals
Hypothesis
testing
Day 2
t-tests
Chi-square
tests
Full factorials
-
calculating effects
- understanding
Interactions
- mathematical modelling
- testing significance of effects
- replication
Day 3
Diagnosing
experiments that fail
Multi-response
systems
Fractional
factorial designs
Understanding
confounding
Screening
designs
Day
4
Process Optimisation
Response Surface Methodology
Concept of orthogonality
Taguchi Methods
- variation reduction
- quality engineering
- orthogonal arrays
- DOE using Taguchi's OAs
3-level designs
Response selection
Sample size determination
Case studies
Design of real life experiments
Presentations | 
