Statistical Quality Control A Modern Introduction 6th Ed
Download Statistical Quality Control A Modern Introduction 6th Ed PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Statistical Quality Control A Modern Introduction 6th Ed book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
STATISTICAL QUALITY CONTROL: A MODERN INTRODUCTION, 6TH ED
Market_Desc: Engineers. Special Features: · Includes a new chapter on the DMAIC project implementation process that describes the major tools needed· Presents new developments in the area of measurement systems analysis· Offers expanded chapters on statistical methods that include additional examples and techniques· Links the experimental design chapters more strongly to design for six sigma· Illustrates quality improvement activities in service and transactional organizations through the use of numerous new examples and exercises About The Book: Covering everything from basic principles to state-of-the-art concepts and applications, this book arms readers with a comprehensive understanding of modern statistical methods for quality control and improvement. The author covers basic and advanced methods of statistical process control (SPC), show how statistically designed experiments can be used for process design, development and improvement, and explore acceptance sampling. Throughout the pages, guidelines are provided for selecting the correct statistical technique to use in a variety of situations.
Introduction to Statistical Quality Control
Author: Douglas C. Montgomery
language: en
Publisher: John Wiley & Sons
Release Date: 2019-12-30
"Once solely the domain of engineers, quality control has become a vital business operation used to increase productivity and secure competitive advantage. Introduction to Statistical Quality Control offers a detailed presentation of the modern statistical methods for quality control and improvement. Thorough coverage of statistical process control (SPC) demonstrates the efficacy of statistically-oriented experiments in the context of process characterization, optimization, and acceptance sampling, while examination of the implementation process provides context to real-world applications. Emphasis on Six Sigma DMAIC (Define, Measure, Analyze, Improve and Control) provides a strategic problem-solving framework that can be applied across a variety of disciplines.Adopting a balanced approach to traditional and modern methods, this text includes coverage of SQC techniques in both industrial and non-manufacturing settings, providing fundamental knowledge to students of engineering, statistics, business, and management sciences.A strong pedagogical toolset, including multiple practice problems, real-world data sets and examples, provides students with a solid base of conceptual and practical knowledge."--
Frontiers in Statistical Quality Control 12
This book provides insights into important new developments in the area of statistical quality control and critically discusses methods used in on-line and off-line statistical quality control. The book is divided into three parts: Part I covers statistical process control, Part II deals with design of experiments, while Part III focuses on fields such as reliability theory and data quality. The 12th International Workshop on Intelligent Statistical Quality Control (Hamburg, Germany, August 16 – 19, 2016) was jointly organized by Professors Sven Knoth and Wolfgang Schmid. The contributions presented in this volume were carefully selected and reviewed by the conference’s scientific program committee. Taken together, they bridge the gap between theory and practice, making the book of interest to both practitioners and researchers in the field of quality control.