Six Sigma: Quality Improvement with MINITAB
Six Sigma: Quality Improvement with MINITAB by G. Robin Henderson, published by John Wiley & Sons on February 17, 2006, is a comprehensive guide that focuses on the essential statistical methods used in Six Sigma for quality improvement. This edition spans 454 pages and is written in English, making it accessible to a wide audience. The book emphasizes the importance of statistical techniques in various sectors, including manufacturing, services, and healthcare, and provides a structured approach to implementing these methods using the MINITAB software.
Readers will find detailed explanations of key statistical methods relevant to quality improvement, along with practical guidance suitable for both Six Sigma Green and Black Belts. The book includes follow-up exercises based on diverse scenarios to reinforce learning, and it utilizes random data generation in MINITAB to clarify statistical concepts. Additionally, a supporting website offers downloadable data sets and notes for the exercises, making this resource valuable for Six Sigma practitioners, students of quality improvement, and anyone interested in data analysis and statistical methods.
Official synopsis Publisher
Quality Improvement should be something everyone strives to achieve in the workplace, whether in manufacturing, services or healthcare. There are numerous strategies for Quality Improvement, but none to rival Six Sigma, both in terms of growing popularity, and the emphasis that it places on the use of statistical methods. Six Sigma Quality Improvement with MINITAB explains the most important statistical methods employed in Six Sigma and demonstrates their implementation via the very popular, and user-friendly, statistical software package MINITAB (Release 14). Introduction to key statistical methods for Quality Improvement using MINITAB. Minimal prior knowledge of statistical methods and no prior knowledge of MINITAB assumed. Easy-to-follow guidance for Six Sigma Green and Black Belts and others involved in Quality Improvement. Provides informative follow-up exercises, from a wide variety of scenarios, on each topic. Employs random data generation in MINITAB to aid understanding of key statistical concepts. Supported by a Website featuring data sets for download and notes and answers for the follow-up exercises. Developed from the authors wealth of experience gained from many years working both in education and consultancy.
This book will be of great value to Six Sigma practitioners, as well as those employing other strategies for Quality Improvement. Furthermore, students of Quality Improvement and anyone with an interest in data analysis and statistical methods and their implementation via MINITAB software will find this book invaluable.
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