variability and spc lesson52

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    Statistical Process Control 04/03/96

    What is Variation?What is Variation?

    Less VariationLess Variation

    ==

    Higher QualityHigher Quality

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    Statistical Process Control 04/03/96

    What is Variation?What is Variation?How the Loss Function Affects ProductHow the Loss Function Affects Product

    Both are within specBoth are within specWhich is more desirable?Which is more desirable?

    LSLLSL USL USL

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    Statistical Process Control 04/03/96

    Examining VariationExamining VariationDefinitionDefinition

    AA Stable ProcessStable Process has the samehas the same

    normal distribution at all times.normal distribution at all times.A stable process isA stable process is In ControlIn Control

    A stable process still has variation A stable process still has variation

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    Examining VariationExamining VariationStable ProcessStable Process

    Normal distribution at all timesNormal distribution at all times

    Prediction

    Time

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    Examining VariationExamining Variation

    Common CausesCommon Causes

    The cause of variations in a stable The cause of variations in a stableprocess is called aprocess is called a CommonCommon

    CauseCause ..

    A common cause is a natural cause of A common cause is a natural cause of variation in the system.variation in the system.

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    Statistical Process Control 04/03/96

    Examining VariationExamining Variation

    Machine vibrationMachine vibration Temperature fluctuations Temperature fluctuationsSlight variation in raw materialsSlight variation in raw materialsHuman variation in setting controlHuman variation in setting controldialsdials

    Common Cause ExamplesCommon Cause Examples

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    Statistical Process Control 04/03/96

    Examining VariationExamining Variation Tools for Examining Stability Tools for Examining Stability

    Trend ChartTrend Chart : A plot showing the: A plot showing thebehavior of a process over time.behavior of a process over time.

    200180160140

    120100806040200

    T h i c k n e s s

    200180160140

    120100806040200

    Time

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    Statistical Process Control 04/03/96

    Examining VariationExamining Variation Tools for Examining Stability Tools for Examining Stability

    HistogramHistog ram : A barchart showing the: A barchart showing thedistribution of the process.distribution of the process.

    P e r c e n t a g e

    0

    5

    10

    1520

    25

    30

    35

    1 0

    2 0

    3 0

    4 0

    5 0

    6 0

    7 0 0

    8 0

    9 0

    1 0 0

    1 1 0

    1 2 0

    1 3 0

    1 4 0

    1 5 0

    1 6 0

    1 7 0

    1 8 0

    1 9 0

    2 0 0

    Thickness

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    Statistical Process Control 04/03/96

    Examining VariationExamining Variation

    T h i c k n e

    s s

    Activity: Comparing stable processesActivity: Comparing stable processes

    Which process has better quality?Which process has better quality?

    150140130120

    1101009080706050

    150140130120

    1101009080706050

    T h i c k n e s s

    Sequence0 5 10 15 20 25

    Sequence0 5 10 15 20 25

    A A BB

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    Statistical Process Control 04/03/96

    Examining VariationExamining VariationActivity: Comparing stable processesActivity: Comparing stable processes(contd)(contd)

    Which process has better quality?Which process has better quality?

    T h i c k n e

    s s

    1501401301201101009080706050

    1501401301201101009080706050

    T h i c k n e s s

    Sequence0 5 10 15 20 25

    Sequence0 5 10 15 20 25

    A A BB

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    Statistical Process Control 04/03/96

    Examining VariationExamining VariationUnstable ProcessUnstable Process

    Any process that is not stable is called anAny process that is not stable is called anunstableunstable oror out-of-controlout-of-control process.process.

    Prediction

    Time

    ??

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    Statistical Process Control 04/03/96

    Examining VariationExamining VariationKinds of Instability:Kinds of Instability: ExcursionsExcursions

    200180160

    14012010080604020

    0

    T h i c k n e s s

    200180160

    14012010080604020

    0

    Time

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    Statistical Process Control 04/03/96

    Examining VariationExamining VariationKinds of Instability:Kinds of Instability: ShiftsShifts

    200180

    160140120100806040

    200

    T h i c k n e s s

    200180

    160140120100806040

    200

    Time

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    Statistical Process Control 04/03/96

    Examining VariationExamining VariationKinds of Instability:Kinds of Instability: DriftsDrifts

    200180

    160140120100806040

    200

    T h i c k n e s s

    200180

    160140120100806040

    200

    Time

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    Statistical Process Control 04/03/96

    Examining VariationExamining VariationKinds of Instability:Kinds of Instability: CyclesCycles

    200180

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    200

    T h i c k n e s s

    200180

    160140120100806040

    200

    Time

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    Statistical Process Control 04/03/96

    Examining VariationExamining VariationKinds of Instability:Kinds of Instability: ChaosChaos

    200180

    160140120100806040

    200

    T h i c k n e s s

    200180

    160140120100806040

    200

    Time

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    Statistical Process Control 04/03/96

    Examining VariationExamining Variation

    Special CausesSpecial Causes

    Anything that causes variations thatAnything that causes variations thatare not part of the stable processare not part of the stable process

    is called ais called a special causesp ecial cause ,,

    assignable causeassig nable cause , or, or unnaturalunnaturalcausecause ..

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    Statistical Process Control 04/03/96

    Examining VariationExamining Variation

    Batch of defective raw materialBatch of defective raw materialFaulty set-upFaulty set-upHuman errorHuman error

    Incorrect recipeIncorrect recipeBlown gasketBlown gasketEarthquakeEarthquake

    Examples of Special CausesExamples of Special Causes

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    Statistical Process Control 04/03/96

    Reducing VariationReducing Variation

    Centering at TargetCentering at Target

    Reducing Common Cause VariationReducing Common Cause Variation

    Improving a Stable ProcessImproving a Stable Processwo strategies for improving a stable proceswo strategies for improving a stable proces

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    Statistical Process Control 04/03/96

    Reducing VariationReducing VariationCentering at TargetCentering at Target

    200

    1801601401201008060

    40200

    T h i c k n e s s

    200

    1801601401201008060

    40200

    Time

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    Statistical Process Control 04/03/96

    Reducing VariationReducing VariationReducing Common Cause VariationReducing Common Cause Variation

    200180160140120100806040200

    T h i c k n e s s

    200180160140120100806040200

    Time

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    Statistical Process Control 04/03/96

    Reducing VariationReducing Variation

    Structured problem solvingStructured problem solving

    Planned experimentsPlanned experiments

    Reducing Variation in a StableReducing Variation in a StableProcessProcess

    Make Permanent ChangesMake Permanent ChangesChanges are based on the scientificChanges are based on the scientific

    approachapproach

    Examples: new equipment, equipment upgrade, new procedure, new machine

    settings, better raw material

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    Statistical Process Control 04/03/96

    Reducing VariationReducing Variation

    Do not Do not ignore special causes.ignore special causes.

    DoDo quickly detect special causequickly detect special causevariations.variations.DoDo stop production until the process isstop production until the process isfixed. (Reactive)fixed. (Reactive)DoDo identify and permanently eliminateidentify and permanently eliminatespecial causes. (Preventive)special causes. (Preventive)

    Reducing Variation in anReducing Variation in anUnstable ProcessUnstable Process

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    Statistical Process Control 04/03/96

    Reducing VariationReducing Variation

    DetectDetect the special cause variation.the special cause variation.

    IdentifyIdentify the special cause.the special cause.FixFix the processthe process Remove the special cause, orRemove the special cause, or

    Compensate for the special cause.Compensate for the special cause.PreventPrevent the special cause fromthe special cause fromoccurring againoccurring again

    Improving an Unstable ProcessImproving an Unstable ProcessFour Step ProcessFour Step Process

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    Statistical Process Control 04/03/96

    Reducing VariationReducing VariationImproving an Unstable ProcessImproving an Unstable Process

    ReactiveReactive200180

    1601401201008060

    40200

    T h i c k n e s s

    200180

    1601401201008060

    40200

    Time

    Detect HereNot Here

    Detect Here

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    Statistical Process Control 04/03/96

    Detecting VariationDetecting Variation

    How can we decide if How can we decide if variation is the result of variation is the result of common or special cause?common or special cause?

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    Statistical Process Control 04/03/96

    Detecting VariationDetecting Variation Tool: Control Chart Tool: Control Chart

    Benefit: Prevents tampering or ignoringBenefit: Prevents tampering or ignoring

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    s s

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    Time

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    Statistical Process Control 04/03/96

    Detecting VariationDetecting VariationControl Chart for Detecting VariationControl Chart for Detecting Variation

    Control ChartControl Chart

    Trend Chart Trend Chart Center LineCenter Line Control LimitsControl Limits++ ++

    Upper Control Limit

    Lower Control Limit

    Center Line

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    Statistical Process Control 04/03/96

    Detecting VariationDetecting VariationCreating a Control ChartCreating a Control Chart

    Turn the distribution on its side Turn the distribution on its side

    Upper Control Limit

    Lower Control Limit

    Center Line

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    Statistical Process Control 04/03/96

    Detecting VariationDetecting Variation

    What is the Center Line?What is the Center Line?Process mean, based on historicalProcess mean, based on historical

    datadataor or

    Process TargetProcess Target

    Creating a Control ChartCreating a Control Chart

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    Statistical Process Control 04/03/96

    Detecting VariationDetecting Variation

    Creating a Control ChartCreating a Control ChartSelecting the Center LineSelecting the Center Line

    The center line should be the The center line should be thetarget, unless we aretarget, unless we are unableunable ororunwilling to control the processunwilling to control the processto target.to target.

    Since the target is zero defects,Since the target is zero defects,the center line is the processthe center line is the processmean.mean.

    Measurements:Measurements:

    Defects:Defects:

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    Statistical Process Control 04/03/96

    Detecting VariationDetecting Variation

    Control LimitsControl Limits

    Based onBased onperformance of performance of thethe process process ..

    Tell us when to Tell us when totake action ontake action onthethe process process ..

    Spec LimitsSpec Limits

    Based onBased onperformance of performance of thethe product product ..

    Tell us when to Tell us when todisposition thedisposition the product product ..

    Control Limits vs. Spec LimitsControl Limits vs. Spec Limits

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    Statistical Process Control 04/03/96

    Detecting VariationDetecting Variation

    Focus OnFocus On

    Control LimitsControl Limits

    Improve ProcessImprove ProcessQualityQuality

    Spec LimitsSpec Limits

    Improve ProductImprove ProductQualityQuality

    Control Limits vs. Spec Limits

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    Statistical Process Control 04/03/96

    Measurement Capability Measurement Capability Have you ever been bitten by aHave you ever been bitten by a

    measurement system?measurement system?

    METROLOGYSYSTEM

    True TrueDataData

    ObservedObservedDataData

    black box

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    Statistical Process Control 04/03/96

    Measurement Capability Measurement Capability A Measurement ProcessA Measurement Process

    Measurement tools themselvesMeasurement tools themselves hardwarehardware

    softwaresoftware

    All the procedures for using the toolsAll the procedures for using the tools which operatorswhich operators set-up/handling proceduresset-up/handling procedures

    off-line calculations and data entryoff-line calculations and data entry calibration frequency and techniquecalibration frequency and technique

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    Statistical Process Control 04/03/96

    Measurement Capability Measurement Capability Why Do Measurements Vary?Why Do Measurements Vary?

    NOTE: Not all of these will necessarily beNOTE: Not all of these will necessarily besignificant sources of variation for everysignificant sources of variation for every

    measurement system.measurement system.

    MeasuremenVariation

    Work Methodsease of data entry

    operator training calibration frequencyoperator technique maintenance of standards

    standard procedure sufficient time for work

    Environment

    line voltagevariation

    temperaturefluctuation

    vibrationhumidity

    fluctuation

    cleanliness

    Tool

    mechanicalinstability

    electricalinstability

    wearalgorithm

    instability

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    Statistical Process Control 04/03/96

    Measurement Capability Measurement Capability

    Assumptions We Often MakeAssumptions We Often Make

    Metrology tools are perfectly accurateMetrology tools are perfectly accurate

    No day-to-day variation in performanceNo day-to-day variation in performance

    No operator-to-operator variationNo operator-to-operator variation

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    Statistical Process Control 04/03/96

    Measurement Capability Measurement Capability MCA Tells Us:MCA Tells Us:

    How big is the measurement error?How big is the measurement error?What are the sources of measurement error?What are the sources of measurement error?

    Is the tool stable over time?Is the tool stable over time?Is the tool capable of making theIs the tool capable of making themeasurements for this project?measurements for this project?Is the tool capable of making theIs the tool capable of making themeasurements for this process?measurements for this process?What needs to be done to improve theWhat needs to be done to improve themeasurement process?measurement process?

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    Statistical Process Control 04/03/96

    Measurement Capability Measurement Capability Capability vs. CalibrationCapability vs. Calibration

    CalibrationCalibrationProcedure to compare readings from aProcedure to compare readings from a

    tool with a standard and then correcttool with a standard and then correctfor any deviations.for any deviations.Statistically: centering the mean of theStatistically: centering the mean of the

    distribution of readings on the truedistribution of readings on the truevalue (obtained from a standard).value (obtained from a standard).

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    Measurement Capability Measurement Capability Capability vs. Calibration (contd)Capability vs. Calibration (contd)

    CapabilityCapabilityProcedure to identify and quantify sources of Procedure to identify and quantify sources of

    variation in readings and then eliminate them.variation in readings and then eliminate them.

    Statistically: fitting the model to the readingsStatistically: fitting the model to the readingsso that the components of variance can beso that the components of variance can be

    estimatedestimated ..Both work together to keepBoth work tog ether to keep

    measurement tool performing optimally.measurement tool p erforming optimally.

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    Concepts and Vocabulary Concepts and Vocabulary Sources Of VariationSources Of Variation

    Process Variation

    Measurement Variation

    Total Variation

    +

    =

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    IntroductionIntroduction Total Variation Total Variation

    ProductProduct MeasurementMeasurementSystemSystem

    AccuracyAccuracy PrecisionPrecision

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    Concepts and Vocabulary Concepts and Vocabulary

    AccuracyAccuracy The degree to which a process The degree to which a process

    mean is on targetmean is on target

    Related TermsRelated Terms

    True Value True ValueBiasBias

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    Concepts and Vocabulary Concepts and Vocabulary

    PrecisionPrecision The degree of variability in a process The degree of variability in a process

    Related TermsRelated TermsRepeatabilityRepeatability

    ReproducibilityReproducibility

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    Concepts and Vocabulary Concepts and Vocabulary BiasBias

    ObservedAverage

    TrueValue

    bias

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    Statistical Process Control 04/03/96

    Concepts and Vocabulary Concepts and Vocabulary

    Precision Says Nothing AboutPrecision Says Nothing AboutHow Close The MeasurementsHow Close The Measurements

    Are To The Truth.Are To The Truth.

    Accuracy Says Nothing AboutAccuracy Says Nothing AboutHow Close Measurements Are ToHow Close Measurements Are To

    Each Other.Each Other.

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    Concepts and Vocabulary Concepts and Vocabulary PrecisionPrecisionCan be separated into repeatability and reproducibilityCan be separated into repeatability and reproducibility

    Total TotalVariationVariation

    ProductProduct MeasurementMeasurementSystemSystem

    AccuracyAccuracy PrecisionPrecision

    These characteristics have the relationship: These characteristics have the relationship: 22 msms == 22 rptrpt ++ 22 rpdrpd

    RepeatabilityRepeatability ReproducibilityReproducibility

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    Statistical Process Control 04/03/96

    Concepts and Vocabulary Concepts and Vocabulary RepeatabilityRepeatability

    Variation that results when repeatedVariation that results when repeatedmeasurements are made of the same parametermeasurements are made of the same parameter

    underunder absolutely identical conditionsabsolutely identical conditions ..

    Same operatorSame operatorSame set-up procedureSame set-up procedureSame partSame part

    Same environmental conditionsSame environmental conditionsRepeatability (Repeatability ( 22 rptrpt ) is usually much smaller) is usually much smaller

    (better) than the precision of the system.(better) than the precision of the system.

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    Concepts and Vocabulary Concepts and Vocabulary ReproducibilityReproducibility

    The variation that results when different The variation that results when differentconditions are used to make theconditions are used to make the

    measurement.measurement.Different OperatorsDifferent OperatorsDifferent Set-Up ProceduresDifferent Set-Up ProceduresDifferent Measurement ToolsDifferent Measurement Tools

    Different Environmental ConditionsDifferent Environmental ConditionsDifferent DaysDifferent Days

    Reproducibility (Reproducibility ( rpdrpd ), is approximately the standard), is approximately the standarddeviation of the averages of measurements from differentdeviation of the averages of measurements from different

    measurement conditions.measurement conditions.