DOE Simplified

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This book offers a structured approach to understanding cause and effect through the design of experiments (DOE), drawing on the authors' extensive experience in training and consulting for industrial experimenters. It equips readers with statistical tools to analyze variable interactions, making it ideal for those aiming to enhance product quality and process efficiency through systematic experimentation. Building on its successful predecessors, this edition presents the fundamentals of DOE in an engaging manner, incorporating entertaining sidebars and anecdotes to simplify complex concepts. It covers methods for data collection and display, comparative experiments for hypothesis testing, and techniques for blocking sources of variation. The text delves into two-level factorial designs and analysis of variance, while introducing a four-step planning process that emphasizes statistical power. Notably, this edition features a significant update to the accompanying software and introduces designs that limit the randomization of challenging factors. A new chapter on split plots and coverage of recent developments in experiment design and analysis are also included. Readers will find case studies, practice problems, a glossary of terms and symbols, and access to dynamic online lectures that enhance the learning experience.