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Statistical Process Control (SPC) Books
It provides comprehensive coverage of the subject from basic principles to state-of-the-art concepts and applications. While statistical techniques are emphasized throughout,
the book has a strong engineering and management orientation, showing how modern engineers use
quality control today.
Arranged in alphabetical order for quick reference, this book provides the quality practitioner with a single resource that illustrates, in a practical manner, how to execute specific statistical methods frequently used in the quality sciences. Each method is presented in a stand-alone fashion and includes computational steps, application comments, and a fully illustrated brief presentation on how to use the tool or technique. This comprehensive study and reference guide is a
valuable addition to any quality practitioner's bookshelf.
He is internationally recognized for his teaching skills, and is listed in Who's Who in the Mid-West and in American Men and Women of Science. Hy Pitt developed and administered the world-famous
ASQ-certified quality engineer (CQE) exam program.
No mathematical background is needed. You'll learn how to set up and use variable control
charts and attribute control charts, and how to analyze frequency histograms, machine and process
capability. New sections cover such problem-solving tools as checksheets, flow charts, and scatter
diagrams. The final module examines how the tools of SPC are used in organizations committed to TQM
and continuous improvement.
SPC: Practical Understanding of Capability by Implementing Statistical Process Control, third edition debunks the myth that SPC is only for engineers or technical managers. In fact, SPC is the proper set of tools for any operation where a product is created using a continuously repeated process. This is true for both manufacturing and service industries (sometimes the "product" is actually a service to people.) Author James Abbott uses everyday language to explain WHAT makes SPC work, WHY it will work for every situation, and HOW it fits into the overall decision-making process. This third edition of SPC is the result of years of
feedback and refinement. An expanded appendix provides complete glossaries of terms, constants,
formulas, and a practice question and answer section.
Statistical Process Control (SPC) is the driving force. Along with defining and detailing SPC, Statistical Analysis Simplified discusses ways to use measurement, numbers, and data to make better business decisions. Filled with self-tests, exercises, games, formulas, and
simulations, this book presents today's complex methodologies in a practical and entertaining style.
With its clear and accessible descriptions, statistics become easy to grasp and use to make better
decisions.
A Training Guide to Learning SPC
(James R. Evans)
Only the necessary mathematics is presented, with math material reviewed at the introduction of each new topic. Topics include quality concepts, the normal probability distribution, variables and attributes control charts, problem solving, and acceptance sampling. Includes worked examples, worksheets and control charts for students to fill out, and completed worksheets and charts for checking results, plus appendices on basic math concepts, charts and tables, and a glossary. This third edition contains more exercises and expanded
material on quality and applications in the service sector.
Experience has long shown that statistical methods, sometimes quite sophisticated in character, can be of great value in improving the efficiency of laboratory and pilot-plant investigations made by specially trained chemists and engineers. What originally motivated the introduction of EVOP,
however, was the idea that the widespread and daily use of simple statistical design and analysis
during routine production by process operatives themselves could reap enormous additional rewards.
Understanding Statistical
Process Control (Donald J. Wheeler, David S. Chambers)
Pierre Gy's Sampling Theory and
Sampling Practice : Heterogeneity, Sampling Correctness, and Statistical Process Control (Francis F.
Pitard)
Statistical Process Control (John S Oakland), ISBN 0750644397 Statistical process control enables manufacturers and suppliers to achieve control of product quality by applying statistical methods. This text provides the foundations of good quality management process control, covering all theory and techniques.
The pocket statistician - a practical guide to quality improvement (Shirley Coleman, Tony Greenfield, Roger Jones, Clare Morris, Ian Puzey), ISBN 034067721x
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Introduction
to Statistical Quality Control (Douglas C. Montgomery)
The
Desk Reference of Statistical Quality Methods (Mark L. Crossley)
SPC
for the Rest of Us (Hy Pitt)
SPC
Simplified: Practical Steps to Quality (Robert T. Amsden, Howard E. Butler, Davida M. Amsden)
SPC,
third edition: Practical Understanding of Capability by Implementing Statistical Process Control
(James C. Abbott)
Statistical
Analysis Simplified: The Easy-to-Understand Guide to SPC and Data Analysis (H. James Harrington,
Glen D. Hoffherr, Robert P. Reid)
Statistical
Process Control for Quality Improvement :
Statistical
Process Control and Quality Improvement (Gerald M. Smith)
Multivariate
Statistical Process Control with Industrial Application (Robert Lee Mason, John C. Young)
Evolutionary
Operation : A Statistical Method for Process Improvement (Wiley Publication in Applied Statistics)
(George E. Box, Norman R. Draper)
Statistical
process control and the use of designed experimentation in industry have led to some remarkable
successes in recent years. Many of these have been well-publicized, as has the contribution of
statistical method to the development of industrial supremacy in the Pacific Rim nations.
Nevertheless, statisticians are often heard to bewail the fact that these methods are not so widely
used as they might be. The purpose of this text is therefore to provide a practical guide to the use
of statistics in industry. Rather than expounding the underlying theory, the authors have provided
insight into what methods can do and how they do it. A data disk is included so that the analyses
can be practiced immediately.