Full Factorial Designed Experiments

Description

Intermediate lecture on planning, executing, and analyzing full factorial DOE (2–7 factors) for industrial maintenance and reliability. Covers factor/level selection, design matrices, randomization/blocking/replication, MSA, main and interaction effects, ANOVA, power, robustness, and confirmation runs. Emphasizes visual tools and practical plant constraints, culminating in a pump reliability case study. Provides a 7-question quiz and references.