This book provides insight into various aspects of design of experiments. Design of experiment is a powerful tool, which is used for process planning, designing and analyzing the experiment, and to obtain effective and efficient conclusion. Author has exploited his industrial and academic experience to provide detailed analysis of design of experiment with examples and hence this book is at centre stage for Decision Makers (DM). On studying this book, DM (engineers and managers) can easily apply design of experiment to real world problems and explore the influence of each and every parameter on the process performance.
This book is comprised of 9 sections, each presenting various aspects of design of experiments. First section addresses the introduction to DOE, which stresses on importance on experimentation in an organization. Second section discusses fundamentals of DOE with a framework to develop a measurement system and quality characteristics for industrial experiments. Section 3 illustrates the significance of interaction of process parameters, and provides graphical tools to handle them. Fourth section illustrates the concrete steps to plan, design, conduct and analyze the industrially designed experiments. Section 5 presents screening design, used for exploring, and discovers their influence on the process performance. Section 6 discusses the use of full factorial designs at 2 levels in industrial experiments and how to analyze and interpret the results of experiments using graphical tools generated by Mini tab software. Section 7 points out the importance to construct fractional factorial experiments. In section eight key points are depicted for making successful experiments. Last section provides eight real life industrial problems to illustrate the power of DOE.
One of the key facets of this book is enclosure of number of case studies, which exploits the capability to build knowledge base on design of experiments. This book also bridges the gap between real life problem and research work using design of experiments.
This book will be of great interest to students and researchers, who are most of the time aware of the existing theories but not conversant to select the best method or the value of process parameter which has significant effect on the performance metrics of the system. The book is well structured and contains ample case materials, reflective questions, and references to promote future research in this area. The book is easy to read, and likely to find its way on to the desk of practitioners, students and researchers.
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