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Routledge Statistical Process Control

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Product Description The business, commercial and public-sector world has changed dramatically since John Oakland wrote the first edition of Statistical Process Control – a practical guide in the mid-eighties. Then people were rediscovering statistical methods of ‘quality control’ and the book responded to an often desperate need to find out about the techniques and use them on data. Pressure over time from organizations supplying directly to the consumer, typically in the automotive and high technology sectors, forced those in charge of the supplying production and service operations to think more about preventing problems than how to find and fix them. Subsequent editions retained the ‘took kit’ approach of the first but included some of the ‘philosophy’ behind the techniques and their use. The theme which runs throughout the 7th edition is still processes - that require understanding, have variation, must be properly controlled, have a capability, and need improvement - the five sections of this new edition. SPC never has been and never will be simply a ‘took kit’ and in this book the authors provide, not only the instructional guide for the tools, but communicate the management practices which have become so vital to success in organizations throughout the world. The book is supported by the authors' extensive and latest consulting work within thousands of organisations worldwide. Fully updated to include real-life case studies, new research based on client work from an array of industries, 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 can still serve as a textbook for both student and practicing engineers, scientists, technologists, managers and for anyone wishing to understand or implement modern statistical process control techniques. Review This is the go-to book for information on process control. It keeps the customer and the voice of the customer as its central thread throughout the book. It is refreshing to see the customer frequently referenced in the chapters... Statistical Process Control, 7th Edition, provides an in-depth practical guide for statistical process control, divided into digestible chapters with learning outcomes. This is suitable for quality professionals in a variety of industries, and students who want a useful guide for robust techniques. Jigisha Solanki, Quality Assurance Lead at Volkswagen Financial Services, UK John and Robert Oakland’s 7th edition of SPC shows in an excellent way that understanding of processes still matters in 21st century. The logical structure, the combination of sound knowledge and profound application experience makes this book a must-read. The fundamental concepts are easy to read, with the right level of detail and excellent new case examples, enriched with insights from Oakland’s vast experience in consulting work. Harald Schubert, Head of Quality and Business Excellence, Bystronic Laser The 7th edition remains the go-to reference for the practical application of SPC, smartly updated to recognise the huge impact that quantum computing, interconnectivity, big data and artificial intelligence will increasingly have on organisations, and the inevitable need to transform business models, systems and processes at speed to retain competitive advantage. Vincent Desmond, CEO; Chartered Quality Institute SPC 7th Edition excellently reflects how to take into account the variation in the way that services are delivered in the current digital era, understanding where the effort needs to be focused to make improvements in our organisations. Carlos Vazquez, Head of Performance Management, Transport for London, Programme Management Office The updated edition of ‘Statistical Process Control’ continues to form part of the essential reference text for anyone looking to make sense of data used in everyday busine

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
17 October 2018
Listed Since
11 November 2017

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No barcode data available

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