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.
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'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.
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Paperback. Condición: Fine. 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. Nº de ref. del artículo: GOR014331617
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