Amazon no longer offers textbook rentals. We do!

Statistical Quality Design and Control : Contemporary Concepts and Methods

by: DeVor, Richard T.; Tsong-how, Chang

Statistical Quality Design and Control : Contemporary Concepts and Methods

by: DeVor, Richard T.; Tsong-how, Chang

ISBN 13:
9780023291807
ISBN 10:
002329180X
Format: Paperback
Copyright: 01/01/1992
Publisher: Prentice Hall
Newer Edition

Used From $96.21

Sorry, this item is currently unavailable.

List Price $131.00 Save $34.79

Used $96.21

Usually Ships in 24-48 Hours

We Buy This Book Back!

Included with your book

Free Shipping On Every Order

Add to Cart

Note: Supplemental materials are not guaranteed with Rental or Used book purchases.

Extend or Purchase Your Rental at Any Time

Need to keep your rental past your due date? At any time before your due date you can extend or purchase your rental through your account.

Summary

A textbook that can be used for a course or sequences of courses on quality design and improvement in both schools of engineering and management. DLC: Quality control-Statistical methods.

PART I Fundamental Concepts and Methods

Evolution of Quality Design and Control

(30)

Introduction

(1)

Quality Revolution of the 1980s

(3)

Historical Perspective of the Management of Quality

(7)

Quality and the Engineering Design Process

(5)

Strategic View of Quality Design and Improvement

(6)

Contrasting Approaches to Quality Design and Improvement

(8)

Exercises

(2)

Conceptual Framework for Quality: Design and Control

(25)

Introduction

(1)

Deming Philosophy of Never-Ending Improvement

(9)

Traditional View of Quality

(4)

Taguchi's Definition of Quality

(4)

Cost-of-Quality Issue

(7)

Exercises

(2)

Statistical Methods and Probability Concepts for Data Characterization

(53)

Introduction

(1)

Purpose and Nature of Sampling

(5)

Characterizations and Representations of Data

(6)

Some Important Concepts of Probability and Probability Distributions

(7)

Normal Distribution

(4)

Sampling Distribution of X

(5)

Some Other Useful Graphical Representations of Data

(26)

Exercises

(12)

PART II Process Control and Improvement

Conceptual Framework for Statistical Process Control

111

(27)

Introduction

111

(1)

Origins and Characteristic Behavior of Variability

112

(4)

Process Behavior over Time

116

(6)

Shewhart's Concept of Statistical Control

122

(4)

Control Chart Approach to the Management of Process Variation

126

(6)

The Process of Statistical Process Control

132

(6)

Exercises

136

(2)

Statistical Basis for Shewhart Control Charts for Variable Data

138

(15)

Introduction

138

(1)

Concept of Hypothesis Testing

138

(7)

Shewhart Control Chart Model

145

(2)

Control Chart for Averages, X

147

(3)

Control Chart for Ranges

150

(3)

Construction and Interpretation of Shewhart Control Charts for Variable Data

153

(44)

Introduction

153

(1)

Setting Up X and R Control Charts

154

(3)

Interpretation of Shewhart Control Chart Patterns

157

(7)

Example: Construction of X and R Control Charts

164

(7)

Closing the Loop Using the Process of SPC

171

(26)

Exercises

179

(18)

Importance of Rational Sampling

197

(22)

Introduction

197

(1)

Concept of Rational Sampling

197

(3)

Merits of Consecutive Versus Distributed Sampling

200

(3)

Some Common Pitfalls in Subgroup Selection

203

(4)

Examples of the Stratification Phenomenon

207

(12)

Exercises

215

(4)

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

219

(36)

Introduction

219

(1)

Analysis of Control Chart Patterns: A Sampling Experiment

220

(15)

Illustration of Stratification of Subgroups

235

(20)

Computer Workshop 1

247

(8)

Process Capability Assessment

255

(43)

Introduction

255

(1)

Process Capability Versus Process Control

256

(2)

Statistical Assessment of Process Capability: A Case Study Revisited

258

(6)

Some Common Indices of Process Capability

264

(4)

Statistical Assessment and Assignment of Tolerances

268

(7)

Statistical Process Control and the Statistical Tolerance Model

275

(4)

Loss Function Approach to Capability Assessment

279

(19)

Exercises

287

(11)

Statistical Thinking for Process Study: A Case Study

298

(48)

Introduction

298

(1)

Overview of the Case Study

299

(2)

Product Versus Process Control: Management Strategy

301

(8)

Finding Improvement Opportunities Through Charting

309

(12)

Process Capability Versus Process Control

321

(8)

Seeking Further Improvement Through Design of Experiments

329

(17)

Computer Workshop 2

338

(5)

Exercises

343

(3)

Some Control Chart Methods for Individual Measurements

346

(38)

Introduction

346

(1)

X and Rm Control Charts

347

(2)

Case Study: White Millbase Dispersion Process

349

(12)

Exponentially Weighted Moving Average Control Charts

361

(23)

Exercises

372

(12)

Cumulative-Sum Control Charts

384

(42)

Introduction

384

(1)

Traditional Cusum Control Charts

385

(6)

Discussion of Traditional Cusum Control Charts

391

(3)

Interpretation of Cusum Control Charts

394

(1)

Shewhart-Like Cusum Control Charts

395

(10)

Cusum Plots for Data Analysis

405

(21)

Exercises

416

(10)

Shewhart Control Charts for Attribute Data

426

(55)

Data Characterization by Attributes

426

(4)

Control Chart for Fraction Defective

430

(13)

Variable-Sample-Size Considerations for the p Chart

443

(6)

Control Chart for Number of Defectives

449

(3)

Control Chart for Number of Defects

452

(6)

Control Chart for Number of Defects per Unit

458

(5)

Exercises

463

(18)

Attribute Control Chart Implementation for Process Improvement: Two Case Studies

481

(22)

Introduction

481

(1)

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

482

(9)

Improvement of an Accounts Payable Process

491

(12)

PART III Product/Process Design and Improvement

Conceptual Framework for Planned Experimentation

503

(39)

Introduction

503

(1)

Role of Experimentation in Quality Design and Improvement

504

(2)

Some Important Issues in Planned Experimentation

506

(10)

Dealing with Noise in the Experimental Environment

516

(8)

Role of Planned Experimentation in Taguchi Methods

524

(11)

Contrasting Philosophies for Dealing with Nuisance or Noise Factors

535

(7)

Exercises

537

(5)

Design and Interpretation of 2k Factorial Experiments

542

(43)

Introduction

542

(1)

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

543

(3)

Construction of the 23 Factorial Design

546

(2)

Calculation and Interpretation of Main Effects

548

(7)

Calculation and Interpretation of Interaction Effects

555

(9)

Generalized Method for the Calculation of Effects

564

(3)

Mathematical Model of the Response

567

(18)

Exercises

572

(13)

Analysis of Two-Level Factorial Designs

585

(28)

Introduction

585

(1)

Analysis of Replicated 2k Experiments

586

(7)

Determination of Statistically Significant Effects

593

(7)

Analysis of the Results of Unreplicated Two-Level Factorials

600

(13)

Exercises

606

(7)

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

613

(61)

Introduction

613

(1)

Glove Box Door Alignment Study Revisited

614

(5)

Diagnostic Checking of the Fitted Model

619

(8)

Checking the Assumption of Common Variance of the Responses

627

(4)

Using the Fitted Model for Quality Improvement

631

(4)

Another Case Study: Surface Finish of a Machined Part

635

(9)

Simple Decomposition of the Variation in Data from an Experiment

644

(2)

Formalization of the Analysis of Variance Method

646

(5)

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

651

(6)

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

657

(17)

Exercises

661

(13)

Two-Level Fractional Factorial Designs

674

(46)

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

674

(4)

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

678

(7)

Procedure for Design Characterization: Another Example

685

(3)

Concept of Resolution of Two-Level Fractional Factorial Designs

688

(3)

Case Study Application: The Sandmill Experiment Revisited

691

(7)

Orthogonal Arrays and Two-Level Fractional Factorial Designs

698

(22)

Exercises

707

(13)

Sequential and Iterative Nature of Experimentation

720

(34)

Value of Sequential Experimentation: A Case Study

720

(13)

Sequential Assembly of Fractional Factorials

733

(8)

Soybean Whipped Topping Example: Summary and Interpretation

741

(13)

Exercises

744

(10)

Robust Design Case Studies

754

(26)

Taguchi's Approach to Robust Design

754

(1)

Overview of Approaches to Robust Design

755

(1)

Case Study 1: Fuel Gage Calibration

756

(5)

Case Study 2: Glove Box Closing Effort Analysis

761

(6)

Case Study 3: Automobile Door Closing Effort

767

(2)

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

769

(11)

References and Further Readings

780

(7)

Appendix Tables

787

(12)

Index

799

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

9780023291807

002329180X

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

9780023291807

002329180X

Summary

Table of Contents

Supplemental Materials

Write a Review

Related Products