Managing, Controlling, and Improving Quality, 1st Edition

by Montgomery, Douglas C.; Jennings, Cheryl L.; Pfund, Michele E.

• ISBN13: 9780471697916
• ISBN10: 0471697915
• Edition: 1st
• Format: Hardcover
• Copyright: 2010-04-12
• Publisher: Wiley

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

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