why taguchi method tip 2
TRANSCRIPT
Why/When is Taguchi Method Appropriate?
Tip #2Tip #2Taguchi Method Can Study Interaction between NoIsE Factors and Control Factors
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• Use of Orthogonal Array implies that we can not or ought not study interactions between control factors. We include only control factors that do not interact with each other, say A, B, C A, B, C and D. D.
This is shown in next slide (use L9 array)
Taguchi Method Does not STUDY : Interaction between Control Factors
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Tip #2Tip #2
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Taguchi Method Does not STUDY : Interaction between Control Factors
Expt. No. Control Factor A
Control Factor B
Control Factor C
Control Factor D
1 1 1 1 1
2 1 2 2 2
3 1 3 3 3
4 2 1 2 3
5 2 2 3 1
6 2 3 1 2
7 3 1 3 2
8 3 2 1 3
9 3 3 2 1
• If there is a single control factorsingle control factor ‘R’R’ that may have strong interactions with several control factors, then we can simply repeat the entire OA experiments at twotwo different levels of ‘R’R’
This is shown in next slide (use two sets of L9 array)
• Obviously, ALL interactions, between Obviously, ALL interactions, between ‘R’‘R’ and and any one of any one of A, B, CA, B, C and and D,D, can be studied) can be studied)
Taguchi Method can study Interaction between Control Factor ‘R’‘R’ and (A, B, CA, B, C or DD)
with repeated use of OA
Friday, 27 April 2001
Taguchi Method can study Interaction between Control Factor ‘R’‘R’ and (A, B, CA, B, C or DD)
with repeated use of OASPINDLE
SPEEDExpt. No. Control Factor A Control Factor B Control Factor C Control Factor D
600 rpm 1 1 1 1 1600 rpm 2 1 2 2 2600 rpm 3 1 3 3 3600 rpm 4 2 1 2 3600 rpm 5 2 2 3 1600 rpm 6 2 3 1 2600 rpm 7 3 1 3 2600 rpm 8 3 2 1 3600 rpm 9 3 3 2 1
900 rpm 10 1 1 1 1900 rpm 11 1 2 2 2900 rpm 12 1 3 3 3900 rpm 13 2 1 2 3900 rpm 14 2 2 3 1900 rpm 15 2 3 1 2900 rpm 16 3 1 3 2900 rpm 17 3 2 1 3900 rpm 18 3 3 2 1
Friday, 27 April 2001
• If there is a single noise factorsingle noise factor ‘X’X’ that may have strong correlation with several control factors, then we can simply repeat the entire OA experiments at twotwo different levels of ‘X’‘X’
This is shown in next slide (use two sets of L9 array)
• Obviously, ALL correlations between Obviously, ALL correlations between ‘X’‘X’ and and any one of any one of A, B, CA, B, C and and DD can be studied can be studied
Taguchi Method can study Interaction between a Noise Factor ‘X’Noise Factor ‘X’ and (A, B, CA, B, C or DD)
with repeated use of OA
Friday, 27 April 2001
Taguchi Method can study Interaction between a Noise Factor ‘X’Noise Factor ‘X’ and (A, B, CA, B, C or DD)
with repeated use of OAMaterial Hardness
Expt. No. Control Factor A Control Factor B Control Factor C Control Factor D
soft 1 1 1 1 1soft 2 1 2 2 2soft 3 1 3 3 3soft 4 2 1 2 3soft 5 2 2 3 1soft 6 2 3 1 2soft 7 3 1 3 2soft 8 3 2 1 3soft 9 3 3 2 1
HARD 10 1 1 1 1HARD 11 1 2 2 2HARD 12 1 3 3 3HARD 13 2 1 2 3HARD 14 2 2 3 1HARD 15 2 3 1 2HARD 16 3 1 3 2HARD 17 3 2 1 3HARD 18 3 3 2 1
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Taguchi Method can study Interaction between a Noise Factor ‘X’Noise Factor ‘X’ and (A, B, CA, B, C or DD)
with repeated use of OA
• The OA based experiments, say L9 as in this example, require that two samples are made for each row (each row indicates one combination of control factors A, B, C and D)
• The measured values of quality characteristics are noted for that row
• Analysis then gives ‘best’ settings for control factors A, B, C and D that would give least sensitivity to the noise factor, say hardness as in this example
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This ISIS equivalent to the repeated use of OA shown earlier
Expt. No. Control Factor A
Control Factor B
Control Factor C
Control Factor D
Level 1
Level 2
1 /10 1 1 1 1 Soft HARD
2 /11
1 2 2 2 Soft HARD
3 /12 1 3 3 3 Soft HARD
4 /13 2 1 2 3 Soft HARD
5 /14 2 2 3 1 Soft HARD
6 /15 2 3 1 2 Soft HARD
7 /16 3 1 3 2 Soft HARD
8 /17 3 2 1 3 Soft HARD
9 /18 3 3 2 1 Soft HARD
NOISE FACTORMaterial Hardness
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More Tips More Tips Links belowLinks below
16. Taguchi Method 1st Priority : VVaarriiaanncce e RReedduuccttiioonn
2nd Priority : Factor EffectsFactor Effects
15. “inner”“inner” L9 array with “outer”“outer” L4 and L9 NoIsE arrays
14. Taguchi Method ““inner”inner” L18 array with “outer”“outer” L4 and L9 NoIsE arrays
13. Taguchi Method Why/When is Taguchi Method not not Appropriate?
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Tips 12, 11, 10 Tips 12, 11, 10
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12. Taguchi Method
““inner”inner” L8 array with “outer”“outer” L4 and L9 NoIsE arrays
11. Taguchi Method
Useful at ALL Life-stagesALL Life-stages of a Process or Product
10. Taguchi MethodPerforms Process “centering”“centering” or “fine tuning”“fine tuning”
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Tips 9, 8, 7 Tips 9, 8, 7
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9. Taguchi Method Identifies the “right” NNooIIssEE factor(s) for Tolerance DesignTolerance Design
10. Taguchi MethodFinds best settings to optimize TWO quality characteristics Simultaneously
7. Taguchi MethodWhen to select a ‘Larger’ OA to perform “Factorial Experiments”
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Tips 6, 5, 4 Tips 6, 5, 4
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6. Taguchi Method Using Orthogonal Arrays for Generating Balanced Combinations of NoIsE Factors
5. Taguchi Method Signal-to-Noise Ratio for Quality Characteristics approaching IDEAL valueapproaching IDEAL value
4. Taguchi Method improves " quality “ at all the life stages at the design stage itselfthe design stage itself
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Tips 3, 2, 1 Tips 3, 2, 1
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3. Taguchi Method Appropriate for Concurrent EngineeringConcurrent Engineering
2. Taguchi Method can study Interaction between Noise Factors Noise Factors and Control Control
FactorsFactors
1. Taguchi’s Signal-to-Noise RatiosSignal-to-Noise Ratios are in
Log formLog form
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