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Introduction to statistical quality control / Douglas C. Montgomery

Main Author Montgomery, Douglas C. Country Estados Unidos. Edition 5th ed Publication New York : John Wiley & Sons, cop. 2005 Description XVI, 759 p. : il. ; 26 cm ISBN 0-471-65631-3 CDU 519.248 658.56
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Monografia Biblioteca da UMinho no Campus de Azurém
BPG 519.248 - M Available 358278

Mestrado em Engenharia e Gestão da Qualidade Ferramentas da Qualidade 1º semestre

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Enhanced descriptions from Syndetics:

This book is about the use of modern statistical methods for quality control and improvement. It provides comprehensive coverage of the subject from basic principles to state-of-art concepts and applications. The objective is to give the reader a sound understanding of the principles and the basis for applying them in a variety of both product and nonproduct situations. While statistical techniques are emphasized throughout, the book has a strong engineering and management orientation. Guidelines are given throughout the book for selecting the proper type of statistical technique to use in a wide variety of product and nonproduct situations. By presenting theory, and supporting the theory with clear and relevant examples, Montgomery helps the reader to understand the big picture of important concepts. Updated to reflect contemporary practice and provide more information on management aspects of quality improvement.

Table of contents provided by Syndetics

  • Chapter 1 Quality Improvement in the Modern Business Environment
  • Part I Statistical Methods Useful in Quality Control and Improvement
  • Chapter 2 Modeling Process Quality
  • Chapter 3 Statistics and Sampling Distributions
  • Part II Basic Methods of Statistical Process Control and Capability Analysis
  • Chapter 4 Methods and Philosophy of Statistical Process Control
  • Chapter 5 Control Charts for Variables
  • Chapter 6 Control Charts for Attributes
  • Chapter 7 Process and Measurement System Capability Analysis
  • Part III Other Statistical Process-Monitoring and Control Techniques
  • Chapter 8 Cumulative Sum and Exponentially Weighted Moving Average Control Charts
  • Chapter 9 Other Univariate Statistical Process Monitoring and Control Techniques
  • Chapter 10 Multivariate Process Monitoring and Control
  • Chapter 11 Engineering Process Control and SPC
  • Part IV Process Design and Improvement with Designed Experiments
  • Chapter 12 Factorial and Fractional Factorial Experiments for Process Design and Improvement
  • Chapter 13 Process Optimization with Designed Experiments
  • Part V Acceptance Sampling
  • Chapter 14 Lot-by-Lot Acceptance Sampling for Attributes
  • Chapter 15 Other Acceptance-Sampling Techniques
  • Appendices
  • Answers to Selected Problems
  • Index

Author notes provided by Syndetics

Douglas C. Montgomery: Arizona State University

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