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Quality Control

ISBN: 9780135000953 | 0135000955
Edition: 8th
Format: Hardcover
Publisher: Prentice Hall
Pub. Date: 4/14/2008

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SummaryTable of ContentsAuthor Biography
For undergraduate/graduate-level courses in Quality Control, Statistical Process Control, Quality Improvement and Quality Assurance. Practical and state-of-the-art in approach, Quality Control, Eighth Edition provides fundamental-yet comprehensive-coverage of quality control concepts. Sufficient theory is presented to ensure that students gain a sound understanding of the basic principles of quality control. The substantial use of probability and statistical techniques is reduced to simple mathematics or is developed in the form of tables and c... MORE
... MORE
Introduction to Qualityp. 1
Objectivesp. 1
Introductionp. 2
Responsibility for Qualityp. 6
Chief Executive Officerp. 13
Computers and Quality Controlp. 14
Total Quality Management-Principles and Practicesp. 25
Objectivesp. 25
Introductionp. 26
Basic Approachp. 26
Leadershipp. 29
Customer Satisfactionp. 37
Employee Involvementp. 41
Continuous Process Improvementp. 45
Supplier Partnershipp. 55
Performance Measuresp. 57
Deming's 14 Pointsp. 74
Final Commentsp. 75
Total Quality Management-Tools and Techniquesp. 77
Objectivesp. 77
Introductionp. 78
Statistical Process Controlp. 78
Acceptance Samplingp. 90
Reliabilityp. 91
Design of Experimentsp. 91
Taguchi's Quality Engineeringp. 91
Failure Mode and Effect Analysisp. 92
Quality Function Deploymentp. 92
ISO 9000p. 93
ISO 14000p. 109
Benchmarkingp. 109
Total Productive Maintenancep. 110
Management and Planning Toolsp. 110
Quality by Designp. 110
Products Liabilityp. 111
Information Technologyp. 111
Leanp. 112
Computer Programp. 112
Fundamentals of Statisticsp. 117
Objectivesp. 117
Introductionp. 118
Frequency Distributionp. 123
Measures of Central Tendencyp. 136
Measures of Dispersionp. 143
Other Measuresp. 148
Concept of a Population and a Samplep. 152
The Normal Curvep. 154
Tests for Normalityp. 161
Scatter Diagramp. 165
Computer Programp. 169
Control Charts for Variablesp. 179
Objectivesp. 179
Introductionp. 180
Control Chart Techniquesp. 187
State of Controlp. 207
Specificationsp. 216
Process Capabilityp. 225
Six Sigmap. 230
Other Control Chartsp. 232
Computer Programp. 244
Additional SPC Techniques for Variablesp. 253
Objectivesp. 253
Introductionp. 254
Continuous and Batch Processesp. 254
Multi-Vari Chartp. 259
Short-Run SPCp. 260
Gage Controlp. 277
Computer Programp. 282
Fundamentals of Probabilityp. 287
Objectivesp. 287
Introductionp. 288
Basic Conceptsp. 288
Discrete Probability Distributionsp. 298
Continuous Probability Distributionsp. 308
Distribution Interrelationshipp. 309
Computer Programp. 309
Control Charts for Attributesp. 315
Objectivesp. 315
Introductionp. 316
Control Charts for Nonconforming Unitsp. 317
Control Charts for Count of Nonconformitiesp. 339
A Quality Rating Systemp. 349
Computer Programp. 353
Lot-By-Lot Acceptance Sampling by Attributesp. 361
Objectivesp. 361
Introductionp. 362
Fundamental Conceptsp. 362
Statistical Aspectsp. 369
Sampling Plan Designp. 390
Computer Programp. 397
Acceptance Sampling Systemsp. 401
Objectivesp. 401
Introductionp. 402
Lot-by-Lot Acceptance Sampling Plans for Attributesp. 402
Acceptance Sampling Plans for Continuous Productionp. 436
Acceptance Sampling Plans for Variablesp. 444
Reliabilityp. 461
Objectivesp. 461
Introductionp. 462
Fundamental Aspectsp. 462
Additional Statistical Aspectsp. 468
Life and Reliability Testing Plansp. 478
Test Designp. 485
Availability and Maintainabilityp. 487
Computer Programp. 488
Management and Planning Toolsp. 493
Objectivesp. 493
Introductionp. 494
Why, Whyp. 494
Forced Field Analysisp. 495
Nominal Group Techniquep. 495
Affinity Diagramp. 496
Interrelationship Diagramp. 496
Tree Diagramp. 500
Matrix Diagramp. 500
Prioritization Matricesp. 502
Process Decision Program Chartp. 504
Activity Network Diagramp. 505
Summaryp. 507
Appendixp. 511
Areas Under the Normal Curvep. 512
Factors for Computing Central Lines and 3[sigma] Control Limits for X, s, and R Chartsp. 514
The Poisson Distributionp. 515
Random Numbersp. 520
Commonly Used Conversion Factorsp. 521
Selected Bibliographyp. 523
Glossaryp. 527
Answers to Selected Exercisesp. 531
Indexp. 537
Table of Contents provided by Ingram. All Rights Reserved.
Dale H. Besterfield is Professor Emeritus College of Engineering Southern Illinois University.

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