4 aa process capability.ppt

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    Process Capab i li ty

    Process Capabi l i ty is the Ab i l ity o f aProcess to Consis tent ly Meet Specif iedCustom er-Driven Requ irements

    Speci f icat ion Lim its are Set by Management

    in Response to Customers Expectationsand needs

    The Upper Specif icat ion Lim it (USL) is theLargest Value that Can Be Obtained and Sti ll

    Conform to Customers Expectation The Lower Speci f icat ion Lim it (LSL) is theSmallest Value that is Stil l Con form ing

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    Process Capab i li ty

    Range of natural var iabi l ity in pro cess

    Measured w ith con tro l chart for

    indiv iduals.

    Process cannot meet speci f icat ions i f

    natu ral variabi l i ty exceeds tolerances

    3-sigma qual ity

    Specif icat ions equal 3 variat ionf rom the mean

    6-sigma qual ity

    Specif icat ions equal 6 variationf rom the mean

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    Capabi l i ty Versus Con tro l

    Control

    Capability

    Capable

    Not Capable

    In Control Out of Control

    IDEAL

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    Process Capab i li ty

    (b) Design specificationsand natural variation thesame; process isjustcapable of meetingspecifications most thetime.

    DesignSpecifications

    Process

    (a) Natural variationexceeds designspecifications; processis not capable of

    meeting specificationsall the time.

    DesignSpecifications

    Process

    LSL USL

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    Process Capab i li ty

    (c) Design specificationsgreater than naturalvariation; process iscapable of always

    conforming tospecifications.

    DesignSpecifications

    Process

    (d) Specifications greaterthan natural variation,but process off center;capable but some outputwill not meet upperspecification.

    DesignSpecifications

    Process

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    Capab i l ity Ind ices

    Aggregate Measures of a Process Abilityto Meet Speci f icat ion Lim its

    The larger (>1) the values, the more capable a

    proc ess is of meeting requirements Measure o f Process Potent ia l Performance

    Cp>1 impl ies that a process has the po tential ofhaving m ore than 99.73% of outcomes with inspeci f icat ions

    2specification spread

    process spread6 /p

    USL LSLC

    R d

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    Process Capab i li ty

    MeasuresProcess Capabi l i ty Ratio

    Cp =

    =

    tolerance range

    process range

    upper specification limit -lower specification limit

    6

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    Compu ting Cp

    Net weight specification = 9.0 oz 0.5 ozProcess mean = 8.80 oz

    Process standard deviation = 0.12 oz

    Cp =

    = = 1.39

    upper specification limit -lower specification limit

    6

    9.5 - 8.5

    6(0.12)

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    Capab i l ity Ind ices

    Measures of Actual Process Performance

    For one-sided speci f icat ion l imi ts

    CPL (CPU)>1 impl ies that the process mean is mo re

    than 3 standard deviat ions away from th e low er

    (upp er) specif icat ion l imit

    (continued)

    23 /X LSLCPL

    R d

    23 /USL X

    CPUR d

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    Capab i l ity Ind ices

    For two -sided speci fication l imi ts

    Cpk= 1 ind icates th at the process average is3 standard deviat ions away from the closest

    speci f ication l imi t

    LargerCpkind icates larger capabi l i ty of

    meet ing the requirements

    (continued)

    min ,pkC CPL CPU

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    Process Capab i li ty

    MeasuresProcess Capabi l i ty Index

    Cpk= minimum

    x- lower specification limit

    3=

    upper specification limit - x

    3=

    ,

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    Comput ing Cpk

    Net weight specification = 9.0 oz 0.5 ozProcess mean = 8.80 oz

    Process standard deviation = 0.12 oz

    Cpk= minimum

    = minimum , = 0.83

    x- lower specification limit

    3=

    upper specification limit - x

    3

    =

    ,

    8.80 - 8.50

    3(0.12)

    9.50 - 8.80

    3(0.12)

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    Est imat ing Process

    Capabil i ty Mus t Have an In-Con tro l Process First

    Est imate the Percentage of Produc t or

    Servic e Within Specif icat ion

    Assum e the Populat ion ofX Values is

    Approx imately Normal ly Dis t r ibuted wi th

    Mean Est imated by and Standard

    Deviation Est imated byX

    2/R d

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    Key Idea

    Process capability calculations make littlesense if the process is not in statisticalcontrol because the data are confoundedby special causes that do not representthe inherent capability of the process.

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    Process Capability

    Process capability refers to the performance of

    the process when it is operating in control.

    Two graphical tools are helpful in assessingprocess capability:

    Tolerance chart (or tier chart)

    Histogram

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    Process Capability

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    Process Capability

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    Process Capability

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    Process Capability

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    Remedial act ion fo r Cp < 1(fo r b i lateral specif icat ion s case)

    1. a) X = (U+L)/2

    b) We must maintain control charts

    with high value of n so that controlchart is more sensitive and we get a

    quick indication that process has gone

    out of control

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    Remedial act ion for Cp < 1(fo r b i lateral specif icat ions case)

    2. Sometimes spec. limits are fixed arbitrarily and no

    time/ effort is spent on their justification.

    THEREFORE REVIEW AND REVISE THE

    SPECIFICATION LIMITSIf spec. limits can be relaxed then problem can be

    solved to a certain extent

    Note: While fixing the spec. limits the designer

    must give due considerations to Functional needs

    Process Capability

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    Remedial act ion for Cp < 1(fo r b i lateral specif icat ions case)

    3. Reduce (process dispersion)a) can be done to some extent by

    Employing better and skilled persons

    Better training & supervision

    Material of better quality

    b) If we many different machines withvarying process capability, then jobs

    requiring narrow tolerances should beassigned to those machines capable ofholding narrow tolerances

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    Remedial act ion for Cp < 1(fo r b i lateral specif icat ions case)

    c ) Make a fundamental change in the productionprocess in o rder to reduce the whichimplies we can go for a process of higher

    precision but this change will be a matter of

    cost in terms of additional investment inhigher precision equipment.

    NPV

    IRR

    Payback periodEvaluating investments

    on financial criteria

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    Remedial ac t ion for Cp < 1(fo r b i lateral specif icat ion s case)

    4. The wors t so lu t ion w i ll be to con tinuethe process as such and segregate the

    defect ives thru 100% inspect ion

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    Sing le speci f icat ion case

    23 /X LSL

    CPLR d

    23 /USL X

    CPUR d

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    Single speci f icat ion case (L )

    Al l the i tems p rodu ced w i l l be non defect ive i f

    X - 3 LThree possible cases are

    1. X - 3 > L Cp l > 12. X - 3 ~ L Cp l ~ 13. X - 3 < L Cp l < 1

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    Sing le spec i f icat ion case (L )

    Add i t ional remedial act ions forCp l < 1

    Increase the process average

    Review and revise the specif icat ion

    l imits

    Reduce dispers ion of the process

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    LIMITATIONS OF X BAR R & CHARTS

    1. Can be used on ly fo r var iab le q lt y. Ch.

    Some ql ty. ch . can no t be measu red or

    quant i f ied

    ---- appearance, cracks , damages, scratches

    etc.

    Such qlty . Ch. Can only be viewed as

    attr ibute.

    Each inspected i tem can on ly beclassi f ied as defect ive or non defect ive

    In such cases charts fo r var iables can

    no t be used

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    LIMITATIONS OF X BAR R & CHARTS

    2. Measurements fo r above char ts are

    expens ive and take more t ime.

    Somet imes to reduce time and cost

    someq lty. ch . are measu red as

    attr ibutes.GO / NO GO GAUGES

    3. A Separate con tro l char t is needed fo r

    each qual i ty char. This is a ser ious

    l imitat ion/disadvantage.therefore we use above charts for

    cr i t ic al variab les caus ing

    subs tant ia l Rework or Reject ion .

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    LIMITATIONS OF X BAR R & CHARTS

    4. Use of X BAR R has to be justified.

    Used when

    a. U L b. Mass production item

    c. Cs & Crare substantial

    5. Economic Justificationa. Savings --- in reduction of defectives

    b. Cost Cost of data collection and charting

    Cost of interpretation of chart (specialist required)

    Actual troubleshooting based on evidence from control

    chart because this may involve loss in production or

    shutdown