Design of Experiments (DOE) Outline

Introduction
Objective versus subjective approach
Organizational requirements

Tests of Significance
Null Hypotheses
T, F and chi square tests

Analysis of Variance
ANOVA
Practical applications

Factorial Designs
Definitions
Full factorial designs
Replication, interactions

Taguchi Techniques
Optimization of manufacturing processes
Product improvements
Selection of factors and levels
Loss function
Orthogonal arrays
Signal/noise ratio

Application Case Studies
Chemical processes
Metal working manufacturing
Electronics manufacturing
Pharmaceutical/food

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