Statistical Process Control - Brossura

Oakland, John S.

Brossura

ISBN 10: 0750657669 ISBN 13: 9780750657662

Casa editrice: Butterworth-Heinemann, 2002

Riassunto

A highly successful title from one of the UK's leading exponents of TQM. The book features user-friendly presentation and reflects the latest thinking in the field. It will serve as a textbook for self or group instruction for both student and practicing engineers, scientists, technologists and managers and will prove invaluable to all.

Statistical process control is a tool, which enables both manufacturers and suppliers to achieve control of product quality by means of the application of statistical methods in the controlling process. This book gives the foundations of good quality management and process control, including an explanation of what quality is, and control of conformance and consistency during production. The text offers clear guidance and help to those unfamiliar with either quality control or statistical applications and coves all the necessary theory and techniques in a practical and non-mathematical manner. This book will be essential reading for anyone wishing to understand or implement modern statistical process control techniques.

* New edition is fully updated and includes a new chapter on Six Sigma
* Well-known, authoritative author who introduced statistical process control to thousands of organizations throughout the world
* Written in a practical way that minimizes the use of formulas and assumes no prior knowledge of statistics

Su questo libro

Recensione

"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 (Feb 2003)

"Written for managers, technologists, engineers, scientists and students alike, the book uses the minimum of formulas and assumes no prior knowledge of statistics. It covers all the necessary theory and techniques in a practical and non-mathematical manner.
The book gives the foundations of good quality management and process control, including an explanation of what quality is, and discusses control of conformance and consistency during production."
-WORKS MANAGEMENT (Jan 2003)

People in management and leadership positions often do not understand variation. As a result, instead of having a stabilising effect, they
frequently over-react to events - leading to wasted efforts, disorganisation and chaos. The author's advice is: "Don't just do something,
sit there (and think)!" Statistical process control
(SPC) is a tool for understanding processes, and thus helping managers in decision-making, so that
organisations can improve quality and reduce wasted resources. It is a method to "stop producing
chaos" by reducing management interference. This soft-cover book is a practical guide for SPC and does not presuppose prior statistical or process
management knowledge. It also sets out the philosophy-essential to the practice-of process management and improvement. There are 15 chapters divided into five sections, with 11 appendices. Each chapter has figures and tables that enhance elucidation, and examples of real-world applications are scattered throughout. The first section, "Process understanding", looks at design, conformance and costs of quality. Next, "Process
variability" is split into two chapters. "Process control" has four chapters that discuss control charts for variables and attributes, and cumulative sum charts. The shortest section, "Process capability", has only 14 pages, but adequately presents several capability indices
(however, not the well-known CPM index). The last section, Process Improvement, has five chapters, including a new chapter on six sigma. There is a good five-page index and each chapter ends with a list of references. This book would be an excellent
tool for managers, engineers and others actively involved in understanding, analysing and improving
processes. It is also suitable for business and engineering students, with each chapter providing learning objectives and discussion questions. I was particularly impressed by the ease with which a reader could use it for implementing SPC. It should be in the library of all organisations
and on the bookcase of all individuals involved in process design, evaluation, control and continuous
improvement of performance, products or services.
Mark A. Best, Eastview, June 2005 edition of "Significance - statistics making sense", a publication of the Royal Statistical Society

Contenuti

Part 1: Process Understanding. Part 2: Process Variability. Part 3: Process Control. Part 4: Process Capability. Part 5: Process Improvement. Appendices.

Dettagli dell?edizione

• Editore: Butterworth-Heinemann
• Data di pubblicazione: 2002
• ISBN 10: 0750657669
• ISBN 13: 9780750657662
• Rilegatura: Copertina flessibile
• Lingua: Inglese
• Numero edizione: 5
• Numero di pagine: 480
• Contatto del produttore: non disponibile