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9780471697916

Managing, Controlling, and Improving Quality, 1st Edition

by ; ;
  • ISBN13:

    9780471697916

  • ISBN10:

    0471697915

  • Edition: 1st
  • Format: Hardcover
  • Copyright: 2010-04-12
  • Publisher: Wiley

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Summary

This book presents an organized approach to quality management, control, and improvement. Because quality problems usually are the outcome of uncontrolled or excessive variability, statistical tools and other analytical methods play an important role in solving these problems. However, these techniques need to be implemented within a management structure that will ensure success. This text focuses on both the management structure and the statistical and analytical tools. It organizes and presents this material according to many years of teaching, research, and professional practice across a wide range of business and industrial settings.

Author Biography

DOUGLAS C. MONTGOMERY, PhD, is Regents Professor of Industrial Engineering and Statistics at Arizona State University. Dr. Montgomery is a Fellow of the American Statistical Association, the American Society for Quality, the Royal Statistical Society, and the Institute of Industrial Engineers and has more than thirty years of academic and consulting experience. He has devoted his research to engineering statistics, specifically the design and analysis of experiments, statistical methods for process monitoring and optimization, and the analysis of time-oriented data. Dr. Montgomery is the coauthor of Generalized Linear Models: With Applications in Engineering and the Sciences, Second Edition and Introduction to Time Series Analysis and Forecasting, both published by Wiley.

Table of Contents

Introduction to Quality
The Meaning of Quality and Quality Improvement
A Brief History of Quality Control and Improvement
Statistical Methods for Quality Control and Improvement
Quality and Productivity
Quality Costs
Legal Aspects of quality
Implementing Quality Improvement
Management Aspects of Quality
Introduction
Quality Philosophy and Management Strategies
The DMAIC Process
Tools and Techniques for Quality Control and Improvement
Introduction
Chance and Assignable Causes of Quality Variation
The Control Chart
The Rest of the Magnificent Seven
Implementing SPC in a Quality Improvement Program
An Application of SPC
Applications of Quality Process and Quality Improvement Tools in Transactional and Service Businesses
Statistical Inference about Product and Process Quality
Describing Variation
Probability Distributions
The Normal Distribution
Statistical Inference
Statistical Inference for a Single Sample
Statistical Inference for Two
Control Charts for variables
Introduction
and R x Charts
and S Charts
Shewart Control Chart for Individual Measurements
Summary of Procedures for , R, S, and Individuals Charts
Example Applications of , R, S, and Individuals Charts
Cumulative Sum Control Charts
Exponentially Weighted Moving Average Control Charts
Process Capability Analysis Using Control Charts
Control Charts for Attributes
Introduction
The Control Chart for Fraction Nonconforming
Control Charts for Nonconformities (Defects)
Choice between Attributes and Variables Control Charts
Guidelines for Implementing Control Charts
Lot-by-Lot Acceptance Sampling Procedures
The Acceptance Sampling Problem
Single-Sampling Plans for Attributes
Double, Multiple, and Sequential Sampling
Military Standard 105E (ANSI/ASQC Z1.4, ISO 2859)
The DodgeRomig Sampling Plans
Military Standard 414 (ANSI/ASQ Z1.9)
Chain Sampling
Continuous Sampling
Skip-Lot Sampling Plans
Process Design and Improvement with Designed Experiments
What Is Experimental Design?
Examples of Designed Experiments in Process and Product Improvement
Guidelines for Designing Experiments
The Analysis of Variance
Factorial Experiments
The 2k Factorial Design
Fractional Replication of the 2k Design
Response Surface Methods
Robust Product and Process Design
Reliability
Basic Concepts of Reliability
Life Distributions
Instantaneous Failure Rate
Life Cycle Reliability
Determining System Reliability from Component Reliabilities
Life Testing and Reliability Estimation
Availability and Maintainability
Failure Mode and Effects Analysis
References
Glossary
Appendix
Summary of Common Probability Distribution Cities Used in Quality Control and Improvement
Cumulative Standard Normal Distribution
Percentage Points of the Distribution
Percentage Points of the t Distribution
Percentage Points of the F Distribution
Factors for Constructing Variables Control Charts
Answers to Selected Exercises
Index
Table of Contents provided by Publisher. All Rights Reserved.

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