Introduction To Statistical Quality Control - Couverture rigide

Montgomery, Douglas

Couverture rigide

ISBN 10 : 0471303534 ISBN 13 : 9780471303534

Editeur : John Wiley and Sons (WIE), 1996

Synopsis

This text contains the material needed to teach a modern, comprehensive first course in statistical quality control to students with only a modest statistical background. It covers important aspects of process capability analysis. Other features include: practical examples and problems, including real situations and revised homework problems that make use of packages such as Statgraphics; a practical focus, with new coverage of statistical process control and application of control charts; and the reduction of advanced topics such as acceptance sampling and economic models; and a two-colour book.

A propos du livre

Quatrième de couverture

IN A RAPIDLY CHANGING FIELD, ONE TEXT KEEPS THE PACE.

The field of statistical quality control and improvement is moving quickly, but one text keeps the pace. Douglas Montgomery′s modern introduction to SQC prepares readers for professional practice with up–to–date coverage of the most current techniques and procedures, as well as more traditional methods. His new Fourth Edition is completely Updated with the latest developments in the field, new examples, and integrated and expanded coverage of computer software such as Minitab and Excel. Readers will learn how to apply state–of–the–art techniques for statistical process monitoring and control, design experiments for process characterization and optimization, conduct process robustness studies, and implement quality management techniques such as the six–sigma approach.

FEATURES

• All basic SPC methods involving Shewhart control charts as well as techniques for process and measurement systems capability analysis are conveniently integrated in Part II.
• coverage intermediate and advanced methods for process monitoring and control, including cusum and EWMA control charts, short– run SPC, monitoring autocorrelated processes, multivariate process monitoring, and process monitoring with feedback adjustment is presented in Part III.
• Montgomery SQC Web site(www.wiley.com/college/montgomery) provides electronic versions of all data sets in the text, as well as supplemental text material.
• Includes new material on implementing quality improvement techniques, such as the six–sigma initiative.
• Comprehensive coverage of the subject ranges from basic principles to state–of–the–art applications.
• Emphasizes statistical techniques in the context of a strong engineering and management orientation.
• Many examples and exercises in the book utilize date from real applications.

Now available with SPC and DOX for ExcelTM Educational Version 2.0 SPC and DOX for Excel software, Educational Version 2.0 (ISBN: 0–471–39412–2) is an essential tool for users of Montgomery′s INTRODUCTION TO STATISTICAL QUALITY CONTROL. This Microsoft® Excel add–in application provides integrated statistical process control (SPC ) and design of experiment (DOX) functionality within a spreadsheet. The Educational Version is time–limited with full industrial functionality, and is compatible with Windows® and Macintosh® systems.

Quatrième de couverture

Expert guidance  on modern SQC methods, from the name you trust!

Douglas Montgomery′s modern iintroduction to SQC prepares you for professional practice with comprehensive coverage of current statistical methods for quality control and improvement. With this text, you′ll learn how to apply state–of–the–art techniques for statistical process monitoring and control, design experiments for process characterization and optimization, conduct process robustness studies, and implement quality management techniques such as the six–sigma approach.

Fullu updated and revised, this Fifth Edition features more fully integrated coverage of Minitab, new homework problems, new and more modern examples, and more.

Introduction to Statistical Quality Control, Fifth Edition:

• Provides guidelines throughout  the book for selecting the proper type of statistical technique to use in a wide variety of product and non–product situations.
• Presents comprehensive coverage ranging from basic principles to state–of–the–art applications.
• Provides clear and relevant examples, including new examples that illustrate applications of statistical quality improvement techniques in non–manufacturing settings. many examples and exercises are based on real data.
• Reflects contempory practice and provides more information on management aspects of quality improvement.
• Emphasizes statistical techniques in the context of a strong engineering and management orientation.
• Includes electronic versions of all data sets in the text, supplemental text material, and all instructor resources on the Montgomery SQC website www.wiley.com/college/montgomery.

Détails de l'édition

• Éditeur: John Wiley and Sons (WIE)
• Date d'édition: 1996
• Langue: anglais
• ISBN 10: 0471303534
• ISBN 13: 9780471303534
• Reliure: Relié
• Numéro d'édition: 3
• Nombre de pages: 728
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible