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Training on
Uncover Design of Experiments (DoE)
Understanding variation to experimental design
process
Solutions 4U Training Center @ Puchong
19 & 20 JAN, 2021 






" understand applicability and concept of DOE in details
followed by analysis and interpretation of
results
in a simple and understandable manner ..." 
Scientists and Engineers no longer can afford to
experiments in a trialanderror manner, changing one factor at a time, the way Edison have done in
developing the light bulb. A far more effective method is to apply a computerenhanced, systematic
approach to experimentation, one that considers all factor simultaneously. This approach is known as
Design of Experiments (DoE), and corporations across the globe are adopting it as a cost effective way to solve serious problems afflicting to their
operations.
DoE provides information about the
interaction of factors and the way the total system works, something not obtainable through testing one factor at a time while holding other factor constant. Another advantage of DoE is that it shows how
interconnected factors respond over a wide range of values, without requiring the testing of all possible values directly.






Course Benefits
This 2 day course intends to meet the needs of
professionals, engineers and researcher, begins with the fundamentals of Design of Experiments (DoE) methods and continues with concepts, principles and requirements. Topics include full factorial designs,
fractional factorial designs, screening designs, the
response surface methodology and reliability DOE., with
intensive, handson training using latest software tools.
Carefully selected course exercises and application
examples provide participants with TheorytoSkills Building knowledge transfer, enabling them to achieve
proficiency in applications development.
Highly interactive workshop with practical examples and exercises to understand applicability and concept of DOE in details followed by analysis and
interpretation of results in a simple and
understandable manner. Statistical software Design Expert will be used during the workshop


Course Outline
 Basic Statistical Concepts
 Concept of variation
 Normal distribution & probability using standard normal curve
 Hypothesis testing concepts
 Basic statistical test
(ztest, ttest, 2ttest & ANOVA)
 Design of Experiments
 The Experimental Design Process
 Screening and Optimization designs.
 Terminologies of DoE
 Basic Principles of DoE
 Selection of appropriate designs
 Factorial Designs
 Full Factorial designs at two level (2K)
 Fractional Factorial Design (2KP)
 Phenomenon of Confounding
 Understanding of CentrePoint, Blocking & Randomization
 Analyzing of DoE Results
(Significant Factors, Main Effect, Interacton Effects, Residuals)
 Prediction Equation and Optimizing Response
 Plackett Burman Screening Design
 Response Surface Designs
 Central Composite Designs
 Box Behnken Designs
 Handson Exercises


Who Should Attend
The courses have been designed for individuals:
Involved in R&D, product development, process
optimization, quality control & monitoring.
Professional scientists, researchers, improvement engineers and managers involved in quality
engineering, S.Q.C / SPC, production, Laboratory and quality assurance and regulatory affairs.
Prerequisites
Math skills, knowledge of basic statistics. No prior knowledge of DesignExpert is required to attend this program.
Note: Due to the nature of the course and the learning expectations, the availability seats are limited. You need to register early to obtain confirmation of your space. 
19 & 20 JAN, 2021 @ MY
Venue : Solutions 4U Training Center @ Puchong
10 % Early Registration Discount before 19 DEC
2020
10 % Group Discount for 3 or more from same organization

Sign Up Now

Other upcoming courses to enrich and enhance your technical computing capability and data anaysls skillset, Just click onto the Title to find out more details.
For more information, please contact us at enquiry@solutions4uasia.com

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