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Statistical process control and data analytics / John Oakland and Robert Oakland.

By: Contributor(s): Material type: TextTextPublication details: Abingdon, Oxon ; New York, NY : Routledge, 2025.Edition: Eighth editionDescription: 1 online resourceISBN:
  • 9781003439080
  • 100343908X
  • 9781040105009
  • 1040105009
  • 9781040104989
  • 1040104983
Subject(s): DDC classification:
  • 658.5/62 23/eng/20240430
Online resources: Summary: "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 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. 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 consulting work with thousands of organisations 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 for anyone wishing to understand or implement modern statistical process control techniques and data analytics"-- Provided by publisher.
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Item type Current library Call number Materials specified Status Date due Barcode Item holds
E-Books E-Books National Library of India Online Resource 658.5/62 (Browse shelf(Opens below)) Available EBK000055125
Total holds: 0

"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 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. 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 consulting work with thousands of organisations 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 for anyone wishing to understand or implement modern statistical process control techniques and data analytics"-- Provided by publisher.

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