Statistical Control Charts for Automated and High-quality Manufacturing Processes PDF Download

Author: Xiaosheng Lu
Publisher:
ISBN:
Category : Manufacturing processes
Languages : en
Pages : 504

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Book Description

Author: Min Xie
Publisher: Springer Science & Business Media
ISBN: 1461510155
Category : Business & Economics
Languages : en
Pages : 282

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Book Description
Control charts are widely used in industry to monitor processes that are far from Zero-Defect (ZD), and their use in a near Zero-Defect manufacturing environment poses many problems. This book presents techniques of using control charts for high-quality processes, and some recent findings and applications of statistical control chart techniques for ZD processes are presented. A powerful technique based on counting of the cumulative conforming (CCC) items between two nonconforming ones is discussed in detail. Extensions of the CCC chart are described, as well as applications of cumulative sum and exponentially weighted moving average techniques to CCC-related data, multivariate methods, economic design of control chart procedures, and modeling and analysis of trended but regularly adjusted processes. Many examples, charts, and procedures, are presented throughout the book, and references are provided for those interested in exploring the details. A number of questions and issues are posed for further investigations. Researchers and students may find many ideas in this book useful in their academic work, as a foundation is laid for the exploration of many further theoretical and practical issues.

Author: Bert Keats
Publisher: CRC Press
ISBN: 1000103722
Category : Science
Languages : en
Pages : 313

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Book Description
This book provides an introduction to statistical process control in automated manufacturing and suggests implementation strategies. It focuses on time series applications in statistical process control and explores the role of knowledge-based systems in process control.

Author: Fred W. Kear
Publisher: CRC Press
ISBN: 100011015X
Category : Science
Languages : en
Pages : 239

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Book Description
Emphasizing the importance of understanding and reducing process variation to achieve quality manufacturing performance, this work establishes how statistical process control (SPC) provides powerful tools for measuring and regulating manufacturing processes. It presents information derived from time-tested applications of SPC techniques at on-site process situations in manufacturing. It is designed to assist manufacturing organizations in explaining and implementing successful SPC programmes.

Author: Edward Staples Smith
Publisher:
ISBN:
Category : Quality control
Languages : en
Pages : 184

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Book Description

Author: Leonard A. Doty
Publisher: Industrial Press Inc.
ISBN: 9780831130695
Category : Business & Economics
Languages : en
Pages : 396

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Book Description
This in-depth introduction to SPC examines the technical aspects of the practices and procedures that are used to apply the quality management system in manufacturing. As in the successful first edition, the author provides a description and history of SPC along with an analysis of how it is applied to control quality costs, productivity, product improvement, and work efficiency. New to this edition are an explanation of seven basic tools, new charts, and an exploration of current trends.

Author: Roger W. Berger
Publisher: CRC Press
ISBN: 1000103412
Category : Science
Languages : en
Pages : 80

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Book Description
This guide aims to strip away the mystery surrounding statistical process control and to present its concepts and principles in as simple and straightforward a manner as possible. It is directed primarily at American business managers.

Author: Muhammad Aslam
Publisher: John Wiley & Sons
ISBN: 1119528437
Category : Mathematics
Languages : en
Pages : 288

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Book Description
An Introduction to the Fundamentals and History of Control Charts, Applications, and Guidelines for Implementation Introduction to Statistical Process Control examines various types of control charts that are typically used by engineering students and practitioners. This book helps readers develop a better understanding of the history, implementation, and use-cases. Students are presented with varying control chart techniques, information, and roadmaps to ensure their control charts are operating efficiently and producing specification-confirming products. This is the essential text on the theories and applications behind statistical methods and control procedures. This eight-chapter reference breaks information down into digestible sections and covers topics including: ● An introduction to the basics as well as a background of control charts ● Widely used and newly researched attributes of control charts, including guidelines for implementation ● The process capability index for both normal and non-normal distribution via the sampling of multiple dependent states ● An overview of attribute control charts based on memory statistics ● The development of control charts using EQMA statistics For a solid understanding of control methodologies and the basics of quality assurance, Introduction to Statistical Process Control is a definitive reference designed to be read by practitioners and students alike. It is an essential textbook for those who want to explore quality control and systems design.

Author: J. Bert Keats
Publisher: CRC Press
ISBN: 9780824797119
Category : Science
Languages : en
Pages : 530

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Book Description
This work presents significant advances and new methods both in statistical process control and experimental design. It addresses the management of process monitoring and experimental design, discusses the relationship between control charting and hypothesis testing, provides a new index for process capability studies, offers practical guidelines for the design of experiments, and more.

Author: Kim Phuc Tran
Publisher:
ISBN: 9783030838201
Category :
Languages : en
Pages : 0

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Book Description
This book introduces the latest research on advanced control charts and new machine learning approaches to detect abnormalities in the smart manufacturing process. By approaching anomaly detection using both statistics and machine learning, the book promotes interdisciplinary cooperation between the research communities, to jointly develop new anomaly detection approaches that are more suitable for the 4.0 Industrial Revolution. The book provides ready-to-use algorithms and parameter sheets, enabling readers to design advanced control charts and machine learning-based approaches for anomaly detection in manufacturing. Case studies are introduced in each chapter to help practitioners easily apply these tools to real-world manufacturing processes. The book is of interest to researchers, industrial experts, and postgraduate students in the fields of industrial engineering, automation, statistical learning, and manufacturing industries.