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Statistical Quality Design and Control Contemporary Concepts and Methods

by: DeVor, Richard E.; Chang, Tsong-how; Sutherland, John W.

Statistical Quality Design and Control Contemporary Concepts and Methods

by: DeVor, Richard E.; Chang, Tsong-how; Sutherland, John W.

ISBN 13:
9780130413444
ISBN 10:
0130413445
Edition: 2nd
Format: Paperback
Copyright: 07/25/2006
Publisher: Pearson

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Summary

Features a blend of statistical process control (SPC) and design of experiments (DOE) concepts and methods for quality design and improvement. The book places particularly strong emphasis on proper methods for data collection, control chart construction and interpretation, and fault diagnosis for process improvement.

Part I Fundamental Concepts and Methods

(134)

Evolution of Quality Design and Control

(31)

Introduction

(1)

Quality Revolution of the 1980s

(2)

Historical Perspective of the Management of Quality

(7)

Quality and the Engineering Design Process

(4)

Strategic View of Quality Design and Improvement

(9)

Beyond the 1980s---The Institutionalization of Quality in the Organization

(8)

Chapter Summary

(1)

Exercises

(3)

Conceptual Framework for Quality: Design and Control

(30)

Introduction

(1)

Deming Philosophy of Never-Ending Improvement

(14)

Traditional View of Quality

(3)

Taguchi's Definition of Quality

(5)

Cost-of-Quality Issue

(7)

Exercises

(2)

Statistical Methods and Probability Concepts for Data Characterization

(42)

Introduction

(1)

Characterizations and Representations of Data

(7)

Some Important Concepts of Probability and Probability Distributions

(7)

Normal Distribution

(4)

Some Other Useful Graphical Representations of Data

(24)

Exercises

(11)

Sampling Distributions and Statistical Hypothesis Testing

106

(29)

Introduction

106

(1)

Purpose and Nature of Sampling

107

(3)

Sampling Distribution of X

110

(5)

Hypothesis Testing of a Population Mean

115

(11)

Confidence Interval Estimation of the mean

126

(9)

Exercises

130

(5)

Part II Process Control and Improvement

135

(388)

Conceptual Framework for Statistical Process Control

137

(38)

Introduction

137

(1)

Origins and Characteristic Behavior of Variability

138

(4)

Process Behavior Over Time

142

(5)

Shewhart's Concept of Statistical Control

147

(4)

Control Chart Approach to the Management of Process Variation

151

(7)

The Process of Statistical Process Control

158

(3)

Deming's Famous Red Bead Experiment

161

(9)

The Debilitating Effects of Tampering

170

(5)

Exercises

172

(3)

Shewhart Control Charts for Variable Data

175

(62)

Introduction

175

(1)

Statistical Basis for Shewhart Control Charts

175

(3)

Control Chart for Averages, X

178

(3)

Control Chart for Ranges

181

(2)

Setting Up X and R Control Charts

183

(2)

Interpretation of Shewhart Control Chart Patterns

185

(8)

Closing the Loop Using the Process of SPC

193

(7)

Cylinder Liner Boring Case Study---Demonstrating the Process of SPC

200

(12)

A Note on Computer Software

212

(25)

Exercises

213

(24)

Importance of Rational Sampling

237

(23)

Introduction

237

(1)

Concept of Rational Sampling

237

(3)

Merits of Consecutive Versus Distributed Sampling

240

(1)

Some Common Pitfalls in Subgroup Selection

241

(6)

Examples of the Stratification Phenomenon

247

(13)

Exercises

254

(6)

Interpretation of X and R Control Charts: Use of Sampling Experiments

260

(29)

Introduction

260

(1)

Analysis of Control Chart Patterns: A Sampling Experiment

261

(13)

Illustration of Stratification of Subgroups

274

(15)

SPC Workshop #1: Process Simulation, PROSIM

287

(2)

Some Control Chart Methods for Individual Measurements

289

(38)

Introduction

289

(1)

X and Rm Control Charts

290

(2)

Case Study: White Millbase Dispersion Process

292

(9)

Exponentially Weighted Moving Average Control Charts

301

(26)

Exercises

313

(14)

Process Capability Assessment

327

(39)

Introduction

327

(1)

Process Capability Versus Process Control

327

(3)

Statistical Assessment of Process Capability: A Case Study Revisited

330

(6)

Some Common Indices of Process Capability

336

(3)

Loss Function Approach to Capability Assessment

339

(9)

The Dilemma of Cpk: A Case Study

348

(18)

Exercises

357

(9)

The Design and Analysis of Tolerances

366

(38)

Introduction

366

(1)

Tolerancing and Competitiveness

367

(5)

Statistical Interpretation of Six Sigma Quality

372

(5)

Tolerance Design and Analysis

377

(6)

Statistical Assessment and Assignment of Tolerances

383

(8)

Statistical Process Control and the Statistical Tolerance Model

391

(13)

Exercises

395

(9)

Statistical Thinking for Process Study: A Case Study

404

(41)

Introduction

404

(1)

Overview of the Case Study

405

(2)

Product Versus Process Control: Management Strategy

407

(7)

Finding Improvement Opportunities Through Charting

414

(10)

Process Capability Versus Process Control

424

(8)

Seeking Further Improvement Through Design of Experiments

432

(13)

Chapter Summary

440

(1)

Exercises

441

(2)

SPC Workshop #2: Turning Simulation, TURNSIM

443

(2)

Shewhart Control Charts for Attribute Data

445

(58)

Data Characterization by Attributes

445

(4)

Control Chart for Fraction Defective

449

(14)

Variable-Sample-Size Considerations for the p Chart

463

(6)

Control Chart for Number of Defectives

469

(2)

Control Chart for Number of Defects

471

(8)

Control Chart for Number of Defects per Unit

479

(24)

Exercises

483

(20)

Attribute Control Chart Implementation for Process Improvement: Two Case Studies

503

(20)

Introduction

503

(1)

Implementation of SPC Methods: A Case Study on ``Press 120''---Visual Defects in a Molding Process

503

(9)

Improvement of an Accounts Payable Process

512

(11)

Part III Product/Process Design and Imoprovement

523

(383)

Conceptual Framework for Planned Experimentation

525

(38)

Introduction

525

(1)

Role of Experimentation in Quality Design and Improvement

525

(3)

Some Important Issues in Planned Experimentation

528

(9)

Dealing with Noise in the Experimental Environment

537

(8)

Role of Planned Experimentation in Taguchi Methods

545

(11)

Contrasting Philosophies for Dealing with Nuisance or Noise Factors

556

(7)

Exercises

558

(5)

Design and Analysis of Simple Comparative Experiments

563

(50)

Introduction

563

(1)

Comparing Two Alternatives Using an External Reference Distribution--Car Mileage Example

563

(4)

Comparing Two Alternatives via an Internal Reference Distribution

567

(6)

Comparing Two Alternatives Using a Blocked Design

573

(7)

Comparison of k Treatments Using Analysis of Variance---One-Way ANOVA

580

(12)

Comparison of Multiple Treatments Using a Blocked Design---Two-Way ANOVA

592

(21)

Chapter Summary

602

(1)

Exercises

603

(10)

Design and Interpretation of 2k Factorial Experiments

613

(52)

Introduction

613

(1)

Process Study Using a Two-Level Factorial Design: Chemical Calibration for the Foam Molding Process

614

(2)

Construction of the 23 Factorial Design

616

(2)

Calculation and Interpretation of Main Effects

618

(6)

Calculation and Interpretation of Interaction Effects

624

(9)

Generalized Method for the Calculation of Effects

633

(2)

Mathematical Model of the Response

635

(6)

Least-Squares Approach to Model Fitting

641

(24)

Exercises

651

(14)

Analysis of Two-Level Factorial Designs

665

(30)

Introduction

665

(1)

Analysis of Replicated 2k Experiments

666

(7)

Determination of Statistically Significant Effects

673

(7)

Analysis of the Results of Unreplicated Two-Level Factorials

680

(15)

Chapter Summary

684

(1)

Exercises

685

(10)

Model Building for Design and Improvement Using Two-Level Factorial Designs

695

(56)

Introduction

695

(1)

Glove Box Door Alignment Study Revisited

696

(5)

Diagnostic Checking of the Fitted Model

701

(8)

Checking the Assumption of Common Variance of the Responses

709

(3)

Using the Fitted Model for Quality Improvement

712

(4)

Another Case Study: Surface Finish of a Machined Part

716

(8)

Use of Analysis of Variance for Two-Level Factorial Design Effect Evaluation

724

(7)

Use of Analysis of Variance on the Glove Box Door Alignment Study

731

(20)

Exercises

735

(14)

DOE Workshop #1: Turning Simulation, TURN5DOE

749

(2)

Two-Level Fractional Factorial Designs

751

(46)

Rationale for, and Consequences of, Fractionation of Two-Level Factorials

751

(4)

System to Define the Confounding Pattern of a Two-Level Fractional Factorial

755

(7)

Procedure for Design Characterization: Another Example

762

(3)

Concept of Resolution of Two-Level Fractional Factorial Designs

765

(3)

Case Study Application: The Sandmill Experiment Revisited

768

(7)

Orthogonal Arrays and Two-Level Fractional Factorial Designs

775

(22)

Exercises

784

(13)

Sequential and Iterative Nature of Experimentation

797

(35)

Value of Sequential Experimentation: A Case Study

797

(13)

Sequential Assembly of Fractional Factorials

810

(8)

Soybean Whipped-Topping Example: Summary and Interpretation

818

(14)

Exercises

821

(9)

DOE Workshop #2: Turning Simulation, TURN9DOE

830

(2)

Robust Design Case Studies

832

(26)

Taguchi's Approach to Robust Design

832

(1)

Overview of Approaches to Robust Design

832

(2)

Case Study 1: Fuel Gage Calibration

834

(5)

Case Study 2: Glove Box Closing Effort Analysis

839

(5)

Case Study 3: Automobile Door Closing Effort

844

(2)

Case Study 4: Simultaneous Engineering of a Product and Its Manufacturing Process

846

(12)

Modeling of Response Surfaces and Response Optimization

858

(48)

Introduction

858

(2)

Modeling the Response Surface

860

(1)

Response Surface Methodology---A Brief Description

861

(7)

RSM Example-A Pulp Whitening Process

868

(13)

Soldering Process Optimization---A Case Study

881

(25)

Exercises

895

(9)

DOE Workshop #3: Response Surface Methodology, RSMGAME

904

(2)

References and Further Readings

906

(9)

Appendix Tables

915

(12)

Index

927

Amazon no longer offers textbook rentals. We do!

Statistical Quality Design and Control Contemporary Concepts and Methods

Statistical Quality Design and Control Contemporary Concepts and Methods

9780130413444

0130413445

Summary

Table of Contents

Supplemental Materials

Write a Review

Amazon no longer offers textbook rentals. We do!

Statistical Quality Design and Control Contemporary Concepts and Methods

Statistical Quality Design and Control Contemporary Concepts and Methods

9780130413444

0130413445

Summary

Table of Contents

Supplemental Materials

Write a Review

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