Ebook Statistical Process Control, by John S Oakland
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Statistical Process Control, by John S Oakland
Ebook Statistical Process Control, by John S Oakland
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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. Offering a complete instructional guide to SPC for professional quality managers and students alike, all the latest tools, techniques and philosophies behind process management and improvement are supported by the author’s extensive consulting work with thousands of organisations worldwide. Fully updated to include real-life case studies, new research based on actual client work from an array of industries, a new chapter on process capability, and integration with the latest computer methods and Minitab software, the book also retains its valued textbook quality through clear learning objectives and end of chapter discussion questions. It will serve as a textbook for both student and practicing engineers, scientists, technologists and managers and for anyone wishing to understand or implement modern statistical process control techniques.
- Sales Rank: #1711312 in Books
- Brand: Brand: Routledge
- Published on: 2007-10-28
- Released on: 2007-09-26
- Original language: English
- Number of items: 1
- Dimensions: 9.21" h x 1.07" w x 6.14" l, 1.54 pounds
- Binding: Paperback
- 472 pages
- Used Book in Good Condition
Review
Reviews of previous editions:
'I was particularly impressed by the ease with which a reader could use it for implementing SPC. It should be in the library of all organisations and on the bookcase of all individuals involved in process design, evaluation, control and continuous improvement of performance, products or services.'
June 2005 edition of "Significance - statistics making sense", a publication of the Royal Statistical Society
'This new edition has been restructured to reflect the latest thinking in the field, giving the foundations of good quality management and process control. The book remains a solid and reliable reference to SPC.'
QUALITY WORLD
'...outlines all the techniques of SPC in a non-mathematical, practical way... useful in every industrial situation.'
BSI NEWS
'...if you want to know about and/or implement SPC you will gain much practical information and help from this book.'
QUALITY NEWS
'Whether your sector is manufacturing, sales, marketing, finance, service, or public, this instructional guide to the tools of SPC is an essential practical guide.' - QUALITY WORLD, FEB 2003
Great for the newcomer to SPC in industry or management, 4 April, 2001
Reviewer: (ian_ga@hotmail.com) from Ayrshire, Scotland
As a statistician working in industry I am constantly looking for books that can get the message of SPC across to a mixed audience of analysts, engineers and managers.
This book does just that in simple language, minimising the use of formulae and mathematical proofs with the added advantage of using examples that the reader can relate to. No prior knowledge of statistics is required to understand and apply the enclosed information.
Reviewer: Paul Smith (paulsmith@terasolutions.co.uk) from North West England, May 14, 2003
A really great book. Easy to read and understand, while catering for those new to SPC and the more experienced.
From the Back Cover
'Whether your sector is manufacturing, sales, marketing, finance, service, or public, this instructional guide to the tools of SPC is an essential practical guide.' - Quality World, Previous Edition Review
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. Ever greater interest in the role of SPC, and in related approaches such as Six Sigma, has led to the revision of this authoritative text to include new research, expanded case-study material and real-life examples from a number of industries, all supported by the author's extensive consulting work with thousands of organisations across the globe. John Oakland offers a complete instructional guide to SPC for professional quality managers and students alike, which presents in a practical, non-mathematical way all the latest tools, techniques and philosophies behind process management and improvement.
. The complete instructional guide to SPC, with links to Lean/Six Sigma approaches, helping managers to communicate the philosophy of process management and improvement as a key to business success
. Written by a leading guru on quality management, this fully modernised new edition includes real-life case studies, new research based on actual client work from an array of industries, and a new chapter on process capability
. An ideal textbook with clear learning objectives and end of chapter discussion questions, a non-mathematical and practical style, along with the integration of the latest computer methods and Minitab software
Providing the foundations of good quality management, this book offers clear guidance and all the necessary theory and techniques of modern statistical process control to fully understand how to manage processes for success.
John Oakland is the Executive Chairman of Oakland Consulting plc and Professor of Business Excellence and Quality Management at Leeds University Business School, UK. His work on helping organisations to improve performance has been published widely.
Most helpful customer reviews
2 of 2 people found the following review helpful.
OK for Managers or Chart Readers
By Brian
If you are looking for a sophisticated treatment of Statistical Process Control that will provide insight into the underlying mathematics of SPC look elsewhere. Oakland's treatment is primarily concerned with reading charts, including "statistical" in the book title is false advertising.
0 of 1 people found the following review helpful.
great
By Mohammadreza Andarz
This book really helped me, and met all of my requirements.I really suggest this book to my friends. Many thanks to author of the book.
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