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Oakland J.S. Statistical Process Control

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Oakland J.S. Statistical Process Control
6th ed. — Elsevier, 2007. — 472 p. — ISBN: 0750669624, 9780750669627.
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 authors 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.
The complete instructional guide to SPC, with links to Six Sigma/Lean approaches, helping managers to communicate the philosophy of process management and improvement as a key to business success
Written by a leading guru on total 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
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