Description
Taylor & Francis Ltd Elementary Statistical Quality Control 2Nd Edition 2004 by John T. Burr
Maintaining the reader-friendly features of its popular predecessor, the Second Edition illustrates fundamental principles and practices in statistical quality control for improved quality, reliability, and productivity in the management of production processes and industrial and business operations. Presenting key concepts of statistical quality control in a simple and straightforward manner, this reference will provide a solid foundation in statistical quality control theory, background, and applications.Moving from elementary topics to sampling by variables, sound tolerancing, and relationships between variables, this reference Why Statistics? Statistical Quality ControlData: Statistics for ActionPatterns of VariationWide ApplicabilitySummaryCHARACTERISTICS OF DATA AND HOW TO DESCRIBE THEMTwo Basic Characteristics of DataMeasuring Average Level and VariabilityCondensing Data into a Frequency TableSample Data vs. PopulationInterpretation of X-Bar and SEfficient Calculation of X-Bar and S: CodingCurve ShapePopulation vs. Sample CharacteristicsProbability as Area, The Normal CurveSummaryProblemsSIMPLE PROBABILITY AND PROBABILITY DISTRIBUTIONSLikelihood of an Event OccurringOccurrence RatioExample 1 and Probability LawsThe Binomial DistributionThe Poisson Distribution for NonconformitiesHypergeometric Distribution for Nonconforming UnitsSummaryProblemsCONTROL CHARTS IN GENERALRunning Record Charts of PerformancePerformance VariesUnusual Performance Calls for ActionWhat is UnusualTwo Kinds of CausesControl ChartsInterpretations of Points and LimitsTwo Purposes of Control ChartsProcess in Statistical ControlAdvantages of a Process in ControlSummaryProblemsCONTROL CHARTS FOR ATTRIBUTESCharts for Nonconforming PiecesCharts for NonconformitiesSummaryProblemsCONTROL CHARTS FOR MEASUREMENTS: PROCESS CONTROLTwo Characteristics We Desire to ControlAn Example, x-Bar, R Charts for Past DataAn Experimental Example, x-Bar and R Charts for Past DataSome Population Distributions for Sampling ExperimentsControl Charts for x-Bar and R, Standards GivenControl Charts for Standard Deviations, sComparison of a Control Chart with SpecificationsContinuing the ChartsWhen and How to Set Standard ValuesExamplesSome Background of Control ChartsSummaryProblemsPROCESS CAPABILITYSpecification or Tolerance LimitsManufacturing Tolerances vs. Specification LimitsNatural Machine and Process TolerancesMeasurement Error and its Effect on Decisions Against TolerancesComparison of a Process with SpecificationsProcess Capability IndexProcess Capability Index Based on Location of Process AverageLong-Term Process Capability Index-PpkExampleSummaryNoteProblemsFURTHER TOPICS IN CONTROL CHARTS AND APPLICATIONSTypes of SamplingTool Wear, Slanting LimitsCharts for Individual x's and Moving RangesPercent Nonconforming of Bulk ProductAverage Run Length for a Point OutChart for Demerits, Rating QualitySome Typical ApplicationsProblemsACCEPTANCE SAMPLING FOR ATTRIBUTESWhy Use a Sample for a Decision on a Lot?Levels of Inspecting or Testing a LotThe Operating Characteristic of a PlanAttribute Sampling InspectionCharacteristics of Single Sampling PlansDouble Sampling Plans and their CharacteristicsAcceptance Sampling for NonconformitiesFinding a Single Sampling Plan to Match Two Points on the OC CurveSome Principles and Concepts in Sampling by AttributesSummaryProblemsSOME STANDARD SAMPLING PLANS FOR ATTRIBUTESAnsi Asq Z1.4The Dodge-Romig Sampling TablesOther Sampling Inspection PlansContinuous Sampling PlansChain Sampling Plan, ChSp-1Skip-Lot Sampling Plan, SkSp-1SummaryProblemsSAMPLING BY VARIABLESKnowledge of Distribution TypeGeneral Aim: To Judge Whether Distribution is SatisfactoryDecisions on Lot Mean, Known s, Normal Distribution Decisions on Lot by Measurements, s Unknown, Normal Distribution Single-Sample Test on Variability Description of Ansi/Asq Z1.9Checking a Process SettingSummaryProblemsTOLERANCES FOR MATING PARTS AND ASSEMBLIESAn Example of Bearing and ShaftAn Example of an Additive CombinationGeneral FormulasSetting Realistic TolerancesRelations Other than Additive-SubtractiveSummaryProblemsStudying Relationships Between Variables by Linear Correlation and RegressionTwo General ProblemsFirst Example-EstimationSecond Example-CorrelationSimplifying the CalculationsInterpretations and PrecautionsSome ApplicationsProblemsA FEW RELIABILITY CONCEPTSReliability In GeneralDefinitions of ReliabilityTime to First Failure, The Geometric DistributionLower Confidence Limit on ReliabilityThe Exponential Distribution for Length of LifeReliability of Complex EquipmentSummaryProblemsAppendixAnswers to Odd-Numbered ProblemsIndex