Experiment Protocol Process

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Experiment Protocol ProcessAdministrativeProtocal NameProtocol ID NumberVersion HistoryBackgroundDescription of the ProcessMotivationsInstructions from ManagementVoice of the Customer (VOC)References to Process InformationCalibration to establish accuracyGR&R study to demonstrate measurement re ...First PrinciplesProcess documentation, SOPsDFMEA & PFMEASPC recordsProcess capability studiesCorrective ActionsProblem to be SolvedReview of Previous InvestigationsExperiment DesignInput-Process-Output (IPO) DiagramResponse(s)CTQsKPOVsOrdinary POVsFactorsControlledUncontrolledCan't be measuredCan be measuredTypeQualitativeFixed LevelsRandom LevelsQuantitativeChosen DesignDesign FamilyLow resolution designs, e.g. screening e ...Intermediate resolution designs, e.g. tw ...High resolution designs, e.g. response s ...Variables MatrixDesign MatrixAlternative Designs ConsideredSample Size CalculationUsing the intended analysis/modelStandard deviation estimateEffect size estimate and powerRandomization PlanValidate by analyzing the run order as t ...Blocking PlanCreate the data collection worksheetsRun numberKPIVsCTQsCovariatesNotes/commentsValidate the design by analyzing a ficti ...Experiment ProcedurePersonel requiredEquipment and hardware requiredMaterial requiredSafety planPlan for managing interruption to produc ...Experimental procedureData recording processContingency PlanReviewManagement ReviewTechnical ReviewCustomer/Process Owner ReviewInstitutional Review Board (IRB)Animal Review Board (ARB)Statistical AnalysisSoftware to be used and version numberAnalysis MethodANOVA/RegressionRegressionBinary Logistic RegressionPoisson RegressionRegression with Life DataOtherModelsFull ModelPost-Occam ModelAlternative ModelsTests of AssumptionsRequirements of ResidualsHomoscedasticityNormalityFreedom from OutliersGoodness of FitContingenciesModel Acceptance CriteriaContingency ModelModel Confirmation StudyDesign ofAnalysis ofAcceptance CriteriaModel ApplicationMaximizeMinimizeHit target valueSimultaneous requirements on CTQsReduce process variationRobust designCost AnalysisCost of the experimentAdminstrative costCost per cell of the experiment design m ...Cost per replicate observationCost of analysis and interpretationCost to implement the recommended action ...Risks of not doing the experimentExperiment Report FormatAdministrative InformationFindings (abstract or executive summary)IntroductionBackground informationGoalExperiment DesignVariables matrixDesign MatrixSample size, randomization, and blocking ...Alternative designs consideredExperiment AdministrationExperiment ProcedureExperimental DataDeviations from ProtocolAnalysisSoftware and Version NumberGraphical analysisStatistical analysisFull ModelPost-Occam ModelAssumption ChecksNormalityHomoscedasticityGoodness of FitContingency analysisInterpretation  of the modelEvaluation against decision criteriaDiscussionSuccess or failure of the experimentConsequences of deviations from protocolRecommendations for future experiments
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Experiment Protocol Process
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