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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 ...

The goal of this book is to provide the readers with examples of application of a wide set of quantitative methods for Quality Management, making it a useful resource for both students and practitioners who are willing to understand the basics of statistical thinking applied to industrial domains (both Manufacturing and Service operations). Students will find the ideal support and guidance for getting confident with the subject, while practiti...