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Cover image for Quality
Title:
Quality
Personal Author:
Edition:
4th ed.
Publication Information:
Upper Saddle River, NJ : Pearson Prentice Hall, 2006
Physical Description:
1v + 1 CD-ROM
ISBN:
9780131189317
General Note:
Accompanied by compact disc : CP 8005

Available:*

Library
Item Barcode
Call Number
Material Type
Item Category 1
Status
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32000000003578 TS156.6 S95 2006 Book Gift Book
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30000003586744 TS156.6 S95 2006 Open Access Book Book
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Summary

Summary

Taking an applied approach, Donna Summers' Quality, Fourth Edition provides clear explanations of popular quality techniques, insightful case studies, meaningful illustrations, and subject matter relevant to the challenges faced by today's organizations. The underlying themes of process improvement and reduction of variation permeate the text. Numerous examples from a wide variety of industries illustrate how professionals apply quality assurance tools to their work activities. Topics focus on the fundamental quality concepts of process control and include creating a process focus, understanding variation, process control charts, root-cause analysis, the seven tools of quality, systems thinking, costs of quality, ISO/TS 16949, Six Sigma and more


Table of Contents

I Setting The Stagep. 1
1 Quality Basicsp. 2
Identifying Qualityp. 4
Ingredients for Successp. 5
The Evolution of Qualityp. 10
Beyond Total Quality Managementp. 15
Summaryp. 17
Lessons Learnedp. 18
Chapter Problemsp. 18
Case Studyp. 20
2 Quality Advocates and Quality Managementp. 26
Quality Advocatesp. 28
Continuous Improvementp. 39
Summaryp. 49
Lessons Learnedp. 49
Chapter Problemsp. 50
Case Studiesp. 52
3 Quality Improvement: Problem Solvingp. 64
Problem Solvingp. 66
Steps in Process Improvementp. 66
Planp. 68
Dop. 90
Studyp. 94
Actp. 95
Summaryp. 96
Lessons Learnedp. 97
Chapter Problemsp. 98
Case Studiesp. 104
II Control Charts For Variablesp. 113
4 Statisticsp. 114
Statisticsp. 116
Use of Statistics in Quality Assurancep. 118
Populations versus Samplesp. 118
Data Collectionp. 121
Measurements: Accuracy, Precision, and Measurement Errorp. 124
Data Analysis: Graphicalp. 127
Data Analysis: Analyticalp. 146
Normal Frequency Distributionp. 161
Summaryp. 170
Lessons Learnedp. 170
Chapter Problemsp. 171
Case Studiesp. 182
5 Variable Control Chartsp. 192
Control-Chart Functionsp. 195
Variationp. 196
Control Chartsp. 199
Control Charts for Variablesp. 199
Summaryp. 243
Lessons Learnedp. 243
Formulasp. 244
Chapter Problemsp. 246
Case Studiesp. 253
6 Process Capabilityp. 280
Individual Values Compared with Averagesp. 282
Estimation of Population [sigma] from Sample Datap. 283
Control Limits and Specification Limitsp. 286
The 6[sigma] Spread versus Specification Limitsp. 289
Calculating Process Capability Indicesp. 292
Summaryp. 302
Lessons Learnedp. 302
Formulasp. 303
Chapter Problemsp. 303
Case Studiesp. 305
7 Other Variable Control Chartsp. 316
Individuals and Moving-Range Chartsp. 318
Moving-Average and Moving-Range Chartsp. 323
A Chart Plotting All Individual Valuesp. 327
Median and Range Chartsp. 328
Run Chartsp. 334
A Chart for Variable Subgroup Sizep. 336
Precontrol Chartsp. 338
Short-Run Chartsp. 344
Summaryp. 348
Lessons Learnedp. 348
Formulasp. 351
Chapter Problemsp. 352
Case Studiesp. 360
III Control Charts For Attributesp. 367
8 Probabilityp. 368
Probability Theoremsp. 370
Permutations and Combinationsp. 378
Discrete Probability Distributionsp. 381
Continuous Probability Distributionp. 387
Distribution Interrelationships and Approximationsp. 389
Summaryp. 391
Lessons Learnedp. 392
Formulasp. 392
Chapter Problemsp. 394
Case Studiesp. 399
9 Quality Control Charts for Attributesp. 404
Attributesp. 406
Charts for Nonconforming Unitsp. 406
Charts for Counts of Nonconformitiesp. 430
Summaryp. 445
Lessons Learnedp. 447
Formulasp. 447
Chapter Problemsp. 449
Case Studiesp. 465
IV Expanding The Scope Of Qualityp. 477
10 Reliabilityp. 478
Reliabilityp. 480
Product Life Cycle Curvep. 481
Measures of Reliabilityp. 482
Reliability Programsp. 491
Reliability Engineersp. 494
Summaryp. 495
Lessons Learnedp. 495
Formulasp. 496
Chapter Problemsp. 496
Case Studiesp. 500
11 Quality Costsp. 504
What Are Quality Costs?p. 506
Defining Quality Costsp. 506
Types of Quality Costsp. 510
Quality-Cost Measurement Systemp. 513
Utilizing Quality Costs for Decision Makingp. 514
Summaryp. 514
Lessons Learnedp. 515
Chapter Problemsp. 515
Case Studiesp. 518
12 Product Liabilityp. 530
The Evolution of Product Liabilityp. 532
Warrantiesp. 533
Product Liability Suitsp. 533
Liability Loss Control Programsp. 535
Future Considerationsp. 540
Summaryp. 540
Lessons Learnedp. 541
Chapter Problemsp. 541
Case Studyp. 544
13 Quality Systems: ISO 9000, Supplier Certification Requirements, and the Malcolm Baldridge Awardp. 548
Quality Systemsp. 550
ISO 9000p. 550
Supplier Certification Requirements: QS 9000p. 557
ISO 14000p. 558
Malcolm Baldridge National Quality Awardp. 559
Summaryp. 562
Lessons Learnedp. 563
Chapter Problemsp. 564
Case Studyp. 565
14 Benchmarking and Auditingp. 572
Benchmarkingp. 574
Auditingp. 580
Summaryp. 585
Lessons Learnedp. 585
Chapter Problemsp. 586
Case Studyp. 588
Appendix 1 Normal Curve Areas (Z [less than or equal] Z[subscript 0])p. 595
Appendix 2 Factors for Computing Central Lines and 3[sigma] Control Limits for X, s, and R Chartsp. 597
Appendix 3 Cumulative Binomial Probability Distributionp. 598
Appendix 4 The Poisson Distributionp. 609
Appendix 5 About PQ Systemsp. 613
Appendix 6 SQCpack Student Version Softwarep. 615
Glossaryp. 622
Answers to Selected Problemsp. 634
Bibliographyp. 637
Indexp. 642
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