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Full Description
Completely revised and updated, A First Course in Quality EngineeringIntegrating Statistical and Management Methods of Quality, Second Edition contains virtually all the information an engineer needs to function as a quality engineer. The authors not only break things down very simply but also give a full understanding of why each topic covered is essential to learning proper quality management. They present the information in a manner that builds a strong foundation in quality management without overwhelming readers.See what's new in the new edition:Reflects changes in the latest revision of the ISO 9000 Standards and the Baldrige Award criteriaIncludes new mini-projects and examples throughoutIncorporates Lean methods for reducing cycle time, increasing throughput, and reducing wasteContains increased coverage of strategic planningThis text covers management and statistical methods of quality engineering in an integrative manner, unlike other books on the subject that focus primarily on one of the two areas of quality. The authors illustrate the use of quality methods with examples drawn from their consulting work, using a reader-friendly style that makes the material approachable and encourages self-study. They cover the must-know fundamentals of probability and statistics and make extensive use of computer software to illustrate the use of the computer in solving quality problems. Reorganized to make the book suitable for self study, the second edition discusses how to design Total Quality System that works. With detailed coverage of the management and statistical tools needed to make the system perform well, the book provides a useful reference for professionals who need to implement quality systems in any environment and candidates preparing for the exams to qualify as a certified quality engineer (CQE).
Contents
Introduction to QualityAn Historical OverviewDefining QualityThe Total Quality SystemTotal Quality ManagementEconomics of QualityQuality, Productivity, and Competitive PositionQuality CostsSuccess StoriesExerciseReferencesStatistics for QualityVariability in PopulationsSome DefinitionsQuality vs. VariabilitySection I: Empirical Methods for Describing PopulationsSection II: Mathematical Models for Describing PopulationsSection III: Inference of Population Quality from a SampleMini-ProjectsReferencesQuality in DesignPlanning for QualityProduct PlanningProduct DesignProcess DesignExerciseReferencesQuality in Production-Process Control IProcess ControlThe Control ChartsMeasurement Control ChartsAttribute Control ChartsSummary on Control ChartsProcess CapabilityMeasurement System AnalysisExerciseReferencesQuality in Production-Process Control IIDerivation of LimitsOperating Characteristics of Control ChartsMeasurement Control Charts for Special SituationsTopics in Process CapabilityTopics in the Design of ExperimentsExerciseReferencesManaging for QualityManaging Human ResourcesStrategic Planning for QualityExerciseReferencesQuality in ProcurementImportance of Quality in SuppliesEstablishing a Good Supplier RelationshipChoosing and Certifying SuppliersSpecifying the Supplies CompletelyAuditing the SupplierSupply Chain OptimizationUsing Statistical Sampling for AcceptanceExerciseReferencesContinuous Improvement of QualityThe Need for Continuous ImprovementThe Problem-Solving MethodologyQuality Improvement ToolsLean ManufacturingExerciseReferencesA System for QualityThe Systems ApproachDr. Deming's SystemDr. Juran's SystemDr. Feigenbaum's SystemBaldrige Award CriteriaISO 9000 Quality Management SystemsISO 9001:2008 RequirementsThe Six Sigma SystemSummary of Quality Management SystemsExerciseReferencesAppendix 1Appendix 2
