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Statistical process control and quality improvement

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Published by Merrill in New York .
Written in English

Subjects:

  • Process control -- Statistical methods.,
  • Production management -- Quality control.

Book details:

Edition Notes

Includes index.

StatementGerald Smith.
Classifications
LC ClassificationsTS156.8 .S618 1991
The Physical Object
Paginationxvi, 487 p. :
Number of Pages487
ID Numbers
Open LibraryOL1880666M
ISBN 100675211603
LC Control Number90041213

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This new edition of Statistical Process Control and Quality Improvement has been updated to include a "reader-friendly" environment that allows for quick comprehension of the ideas and concepts covered in this book. With its easy readability, this text sets a foundation for charting, interpreting, and analyzing process capability, while also introducing the reader to other basic /5(6). Statistical Process Control (SPC) is a tool that measures and achieves quality control, providing managers from a wide range of industries with the ability to take appropriate actions for business success. techniques and philosophies behind process management and improvement are supported by the author’s extensive consulting work with. Use of DMAIC model as well as other statistical quality tools is a way to achieve continuous quality improvement. © The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Organizing Committee of BEM Keywords: Quality, Improvement, Statistical Process Control, DMAIC, Variability by: Statistical process control (SPC) is a method of quality control which employs statistical methods to monitor and control a process. This helps to ensure that the process operates efficiently, producing more specification-conforming products with less waste (rework or scrap).SPC can be applied to any process where the "conforming product" (product meeting specifications) output .

ISBN: OCLC Number: Description: xv, pages: illustrations ; 25 cm: Contents: uction to Quality Concepts and Statistical Process Control ng for Quality: Management's Problem and Management's Solution uction to Variation and Statistics zation of Data: Introduction to Tables, Charts, and Graphs . Statistical Process Control and Quality Improvement book. Read 2 reviews from the world's largest community for readers. A text for use in two- and four- /5.   Statistical Methods for Quality Improvement, Third Edition is an excellent book for courses on quality control and design of experiments at the upper-undergraduate and graduate levels. the book also serves as a valuable reference for practicing statisticians, engineers, and physical scientists interested in statistical quality improvement. Provides models which demonstrate the utility of statistical process control. The book treats quality control as a technical solution to problems in .

The foundation for Statistical Process Control was laid by Dr. Walter Shewart working in the Bell Telephone Laboratories in the s conducting research on methods to improve quality and lower costs. He developed the concept of control with regard to variation, and came up with Statistical Process Control Charts which provide a simple way to File Size: KB. Statistical Process Control: The Deming Paradigm and Beyond, Second Edition reveals even more of Deming's philosophy and provides more techniques for use at the managerial level. Explaining that CEOs and service industries need SPC at least as much as production managers, it offers precise methods and guidelines for their use. Statistical process control (SPC) is a process to determine the appropriate statistical methods including monitoring, measurement, analysis and improvement to increase the visibility to quality information of process capability and product characteristics at control plan during implementation of advanced quality planning. The personnel involve.   A statistical approach to the principles of quality control and management. Incorporating modern ideas, methods, and philosophies of quality management, Fundamentals of Quality Control and Improvement, Third Edition presents a quantitative approach to management-oriented techniques and enforces the integration of statistical concepts into quality assurance .