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Sinopsis
This revised and updated 8th edition retains its focus on processes that require understanding, have variation, must be properly controlled, have a capability, and need improvement - as reflected in the five sections of the book.
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Acerca del autor
John Oakland is one of the world’s top ten gurus in quality and operational excellence; Executive Chairman, Oakland Group; Emeritus Professor of Quality & Business Excellence at Leeds University Business School; Fellow of the Chartered Quality Institute (CQI); Fellow of the Royal Statistical Society (RSS); Fellow of the Cybernetics Society (CybSoc); Fellow of Research Quality Association (RQA).
Robert Oakland is Director in the Oakland Group and works across the globe helping complex organizations to unlock the power in their data using advanced analytical and statistical techniques to improve the quality, cost and delivery of their products and services.
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- EditorialRoutledge
- Año de publicación2024
- ISBN 10 1032569026
- ISBN 13 9781032569024
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas386
- Contacto del fabricanteno disponible
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Statistical Process Control and Data Analytics
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Statistical Process Control and Data Analytics
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Condición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. Nº de ref. del artículo: ABNR-45362
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Statistical Process Control and Data Analytics
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Statistical Process Control and Data Analytics
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Statistical Process Control and Data Analytics
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Condición: New. pp. 400 8th Edition NO-PA16APR2015-KAP. Nº de ref. del artículo: 26401958325
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Statistical Process Control and Data Analytics
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STATISTICAL PROCESS CONTROL AND DATA AN
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Statistical Process Control and Data Analytics
Publicado por
Taylor & Francis Ltd, 2024
ISBN 10: 1032569026
ISBN 13: 9781032569024
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Statistical Process Control and Data Analytics
Impresión bajo demandaLibrería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The business, commercial and public-sector world has changed dramatically since John Oakland wrote the first edition of Statistical Process Control in the mid-1980s. 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 'tool kit' approach of the first but included some of the 'philosophy' behind the techniques and their use.Now entitled Statistical Process Control and Data Analytics, this revised and updated eighth edition retains its focus on processes that require understanding, have variation, must be properly controlled, have a capability and need improvement - as reflected in the five sections of the book. In this book the authors provide not only an 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 consulting work with thousands of organizations worldwide. A new chapter on data governance and data analytics reflects the increasing importance of big data in today's business environment.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 software, the book also retains its valued textbook quality through clear learning objectives and online end-of-chapter discussion questions. It can still serve as a textbook for both student and practicing engineers, scientists, technologists, managers and anyone wishing to understand or implement modern statistical process control techniques and data analytics. 388 pp. Englisch. Nº de ref. del artículo: 9781032569024
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