This book is intended to offer a theoretical support and a practical guide to understand and use a wide set of quantitative tools for Quality Management. The most common tools and methods are first explained and then applied in industrial examples: Basic Statistics, Graphical Approach, Pareto, Hypothesis Testing, ANOVA, DoE, Control Chart, Acceptance Sampling are some of the covered topics. The goal of this book is to provide the readers both with theory recall and examples of application to understand the approach and ...
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This book is intended to offer a theoretical support and a practical guide to understand and use a wide set of quantitative tools for Quality Management. The most common tools and methods are first explained and then applied in industrial examples: Basic Statistics, Graphical Approach, Pareto, Hypothesis Testing, ANOVA, DoE, Control Chart, Acceptance Sampling are some of the covered topics. The goal of this book is to provide the readers both with theory recall and examples of application to understand the approach and master the application. Thus the book is projected to be a useful resource for both students and practitioners in manufacturing and service operations. Students will find the ideal support and guidance for getting confident with the subject, while practitioners will be provided with theoretical and practical insights to deeply understand the ground on which most of commonly used quality tools are built on. The book will explain the topics starting from the easiest-to-understand, gradually increasing the level of complexity in the tools and in the numerical examples. This third edition of the book has widened the theory support and re-organized the topics. This new organization will both support a deeper understanding of the statistical basics and facilitate the mastering of the more complex quality tools.
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