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Design
of Experiments II (DOE II)
Enhance basic experimental practices with an advanced set of DOE tools for
accelerated optimization of a process. Learn how to efficiently build upon
results obtained from screening (e.g. fractional factorial) experiments. Advanced
experimental designs necessary for optimizing processes are covered in detail.
Seminar Content
Review of DOE Basics
Review of Definitions
Review of Factorial Designs
Review of Design Resolution
Unreplicated Designs
Identifying Significant Effects
Review of Model Development
Reflected Designs
Reflected Designs to Improve Resolution
Mathematical Model Development
Nesting and Blocking
Description and analysis of nested factors
Description of Blocking Variables
Designs with Blocking Variables
Split-Plot Designs
Optimzation
Multi-Level Designs
Central Composite Designs
Response Surface Methods
Missing Data
Preventing Missing Responses
Analyzing Incomplete Data Sets
Mixture Designs
Simple Lattice Designs and Models
Simplex Centroid Designs and Models
Who Should Attend
Practitioners and facilitators of process improvement and optimization.
Prerequisites
A practical understanding of elementary applied statistics and a basic background
in DOE are important. This seminar will build upon topics presented in the
EMU seminar, Design of Experiments I.
Related Seminars
Design of Experiments I
Statistical Process Control I and II
Statistical Analysis for Process Improvement
Seminar Fee: $795
All meals, excluding dinner, are included.
Each participant will receive a comprehensive
manual and a Certificate of Completion at the close of the
seminar.
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