Experiment Design Made Easy

Achieve Peak Performance
Response Surface Methods (RSM) can lead you to the peak of process performance. The RSM for Process Optimization workshop teaches you how to produce precise maps based on statistical models. Learn how to put all your responses together via sophisticated optimization approaches. Find the "sweet spot" where you meet all specifications at minimal cost.



Learn Sophisticated Statistical Methods
During the RSM for Process Optimization workshop you will learn how to:
•  Set up central composite designs (CCD), Box-Behnken and other RSM designs
•  Select appropriate regression models
•  Evaluate design properties
•  Generate response and standard error contours
•  Find robust operating conditions
•  Optimize multiple responses numerically

"Clearly presented with emphasis on application."
—Dennis Passe, Food Scientist


Use Powerful Software to do Case Studies and Simulations
Design-Expert ? software, used in the RSM for Process Optimization workshop, provides the essential computing power for RSM. Several simulations, interspersed throughout the workshop, test knowledge in a realistic fashion. Myers and Montgomery's text, Response Surface Methodology, is optional.

"Using software helped me gain confidence."
—Bryan Baab, Senior Scientist


*Prior Knowledge of DOE Needed

Courses Outline
Response Surface Methods for Process Optimization (3 Days)

Day 1

Section 1—Review & Introduction

· Factorial with center points
· Introducing Response Surface Methods (RSM)
· Augmenting to central composite design (CCD)

Section 2—Response Surface Methodology

· "Good" response surface designs
· Response surface tutorial · Details of response surface analysis

Lunch Section 3—Building and Analyzing CCDs
· Customized CCDs
· Model reduction
· Homework assignment  

Day 2

Section 4—Response Surface Optimization

· Optimization tutorial
· Numerical
· Graphical
· Propagation of error (POE)
· Whey with 3 responses  

Lunch
Section 5—Response Surface Designs
· Alternative central composite designs
· Small Draper-Lin versus a regular CCD
· MR-5 CCDs
· Box-Behnken designs
· Response transformation
· CCD with an outlier
· Face-centered CCD (FCD)
· Practical alpha values  

Day 3

Section 6—Advanced RSM Tools

· D-optimal designs
· Multiple Linear Constraints (MLC)
· Factorial candidate points  

Lunch

· Categoric factors
· User-defined candidate set
· Design augmentation

Section 7—Homework & Optional Exercises

· Homework
· Optional exercises
· Optional #1: Arc-welding
· Optional #2: Spray coating  

Reference
Section 8—Appendix
· Derringer article
· MLC write-up

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