11 taguchi technique ii

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    Materials Engineering 14Taguchi Technique II

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    defined as mean divided by the standard deviation

    a response variable that takes both the mean and the variation into consideration

    Signal-to-Noise Ratio (S/N ratio)

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    Signal-to-Noise Ratio (S/N ratio) made up of the mean level and the variation

    around this mean

    helps find a setting of the control factors thatgive the best mean level while keeping variationunder control

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    Larger the Better

    S/N Formulas

    )1

    (1

    log10 / 2i yn

    N S

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    Nominal is Best

    S/N Formulas

    e

    em

    V V Sn N S )(

    1

    log10 /

    )(1

    1

    )(1

    2

    2

    mie

    im

    S yn

    V

    yn

    S where:

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    A manufacturer of resistors wants to improve yield on substrate chips, many of which have been rejected for thickness problems (tolerance204). They decided to run an experimentaldesign on the following factors:

    Example

    Factor Level 1 Level 2 Level 3

    A Ceramic Material Paraffin Paste Mixture

    B Machine Pressure 300 375 450

    C Mixing Time 60 90 120

    D Temperature 275 350 425

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    ResultL9 (3 4 ) A B C D Thickness Totals

    1 1 1 1 1 27 31 28 862 1 2 2 2 16 18 20 54

    3 1 3 3 3 19 14 21 54

    4 2 1 2 3 23 20 25 68

    5 2 2 3 1 25 24 26 75

    6 2 3 1 2 19 18 20 57 7 3 1 3 2 29 25 27 81

    8 3 2 1 3 15 19 18 52

    9 3 3 2 1 16 17 18 51

    Response Table (Totals)Factor A B C D

    Level 1 194 235 195 212

    Level 2 200 181 173 192

    Level 3 184 162 210 174

    Total 578 578 578 578

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    Solution

    CF n

    A

    n

    A

    n

    ASS

    SS

    CF

    factor

    total

    23

    22

    21

    222

    2

    )()()(5.5685.373,12)18...1627(

    5.373,1227

    )18...1627(

    1.78

    5.149184

    9200

    9194 222

    DC B Atotalerror

    A

    SSSSSSSSSSSS

    CF SS

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    Source of variation dof SS MS f SS P(%)

    A 2 14.5 7.25 1.67 5.82 1

    B 2 318.72 159.36 36.72 310.04 55

    C 2 76.94 38.47 8.86 68.26 12

    D 2 80.28 40.14 9.25 71.16 13error 18 78.06 4.34 112.86 20

    Total 26 568.5

    Solution

    Reponse Table, Averages

    Factor A B C D

    Level 1 21.6 26.1 21.7 23.6

    Level 2 22.2 20.1 19.2 21.3

    Level 3 20.4 18 23.3 19.3

    OptimumSettings A 3 B2 C2 D3

    target thickness valuesnearest 20

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    Compute for the corresponding S/N Ratios Nominal is Best (as required by the problem)

    Solution

    e

    em

    V

    V Sn N S

    )(1

    log10 /

    )(1

    1

    )(1

    2

    2

    mie

    im

    S yn

    V

    yn

    S

    76.2234.4

    )34.433.465,2(31

    log10 / N S

    34.4]33.465,2)283127[(2

    1

    33.465,2)283127(31

    222

    2

    e

    m

    V

    S

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    Solution

    Response Table (S/N Totals)

    Factor A B C D

    Level 1 55.8 64.5 66.8 75.4Level 2 72.7 65.5 62.8 67.3

    Level 3 65.6 64.1 64.5 51.4

    Total 194.1 194.1 194.1 194.1

    Original Settings A 3 B2 C2 D3

    Revised Settings A 2 B2 C1 D1

    choose highest S/N ratio

    L9 (3 4 ) A B C D S/N Ratio

    1 1 1 1 1 22.82 1 2 2 2 19.1

    3 1 3 3 3 13.9

    4 2 1 2 3 19.1

    5 2 2 3 1 28.0

    6 2 3 1 2 25.6

    7 3 1 3 2 22.68 3 2 1 3 18.4

    9 3 3 2 1 24.6

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    Source of Variation SS dof MS f

    SS P(%)

    A 48.0 2 24.0 30.0 46.4 30.9

    B 0.3 (2)

    C 2.7 (2)D 99.4 2 49.7 62.1 97.8 65

    error 3.0 4 0.8 6.2 4.1

    Total 150.4 8 100

    Solution

    Therefore, choosing the correct settings for the ceramic material and the heat treat temperature will reduce the variation in the thickness of the substrate chips. Machine pressure and mixing time will be adjusted tomove the process mean to the target value.

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    Identify control factors

    Determine optimum levels for control factors

    Identify signal factors using raw data ANOVA

    Determine optimum levels for signal factors

    Perform confirmation run

    Control critical control and signal factors

    Summary of Steps for Analysis

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    Additional Notes The first ANOVA table is used to determine the

    signal factors while the second ANOVA table isused to identify the control factors.

    Factor settings that will be considered in theprocess line would depend on the revised

    setting, and the signal factors may be adjusted toproduce results close to the desired value.

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    Exercise A manufacturer of rubber hosing wants toincrease the strength of his product. Hedetermines four factors that could influence hisprocess. He sets them at the following levels:

    Factor Level 1 Level 2 Level 3

    A Machine Temperature 300 350 400

    B Reaction Time 5 10 15

    C Agitation Speed 100 150 200

    D Silicon Excess Rate 10 20 30

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