Practical Statistical Methods for Injection Molding: Using Excel and Minitab

This book is a comprehensive guide to applying statistical methods in injection molding, designed specifically for engineers, quality professionals, and technical managers seeking to optimize manufacturing performance. Bridging the gap between theory and practice, it demystifies complex statistical concepts and translates them into actionable tools tailored for the unique challenges of injection molding. Whether you are troubleshooting, improving cycle times, or balancing multiple quality characteristics, this book equips you with the analytical strategies needed to make data-driven decisions with confidence.

The book emphasizes the importance of analyzing variability in your molded parts, molding process and in the measurement process. It highlights the power of designed experiments, regression modeling, and multi-response optimization — all within the context of real-world molding scenarios. Readers will learn how to prepare for a molding study, interpret interaction effects, and use software tools like Minitab and Excel to streamline analysis and visualize results. Special attention is given to the nuances of molding processes, including material variability, machine dynamics, and the interplay of thermal and mechanical factors, making the statistical techniques not just relevant but indispensable.

What sets this book apart is its clarity, practicality, and deep respect for the realities of manufacturing. It is written by an engineer for engineers: with insight, and a relentless focus on solving problems that matter. Whether you're new to statistical analysis or looking to sharpen your skills, this book will become your go-to reference for elevating injection molding from art to science.

Brad Johnson has been teaching at Penn State Erie, The Behrend College's plastics engineering technology program since 1994. Prior to joining Penn State, he accumulated over 10 years of industrial experience and served in various roles in the plastics industry: manufacturing engineer, manufacturing supervisor, design engineer, and program manager.