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Why/When is Taguchi Method Appropriate? Tip #2 Taguchi Method Can Study Interaction between NoIsE Factors and Control Factors Friday, 27 April 2001.

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Presentation on theme: "Why/When is Taguchi Method Appropriate? Tip #2 Taguchi Method Can Study Interaction between NoIsE Factors and Control Factors Friday, 27 April 2001."— Presentation transcript:

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2 Why/When is Taguchi Method Appropriate? Tip #2 Taguchi Method Can Study Interaction between NoIsE Factors and Control Factors Friday, 27 April 2001

3 A, B, C D.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 and D. This is shown in next slide (use L9 array) Taguchi Method Does not STUDY : Interaction between Control Factors Friday, 27 April 2001 Tip #2

4 Friday, 27 April 2001 Taguchi Method Does not STUDY : Interaction between Control Factors Expt. No.Control Factor A Control Factor B Control Factor C Control Factor D 11111 21222 31333 42123 52231 62312 73132 83213 93321

5 single control factorR’ twoR’If there is a single control factor ‘R’ that may have strong interactions with several control factors, then we can simply repeat the entire OA experiments at two different levels of ‘R’ This is shown in next slide (use two sets of L9 array) Obviously, ALL interactions, between ‘R’ and any one of A, B, C and D, can be studied)Obviously, ALL interactions, between ‘R’ and any one of A, B, C and D, can be studied) ‘R’A, B, CD Taguchi Method can study Interaction between Control Factor ‘R’ and (A, B, C or D) with repeated use of OA Friday, 27 April 2001

6 ‘R’A, B, CD Taguchi Method can study Interaction between Control Factor ‘R’ and (A, B, C or D) with repeated use of OA SPINDLE SPEED Expt. No. Control Factor AControl Factor BControl Factor CControl Factor D 600 rpm11111 21222 31333 42123 52231 62312 73132 83213 93321 900 rpm101111 900 rpm111222 900 rpm121333 900 rpm132123 900 rpm142231 900 rpm152312 900 rpm163132 900 rpm173213 900 rpm183321 Friday, 27 April 2001

7 single noise factorX’ two‘X’If there is a single noise factor ‘X’ that may have strong correlation with several control factors, then we can simply repeat the entire OA experiments at two different levels of ‘X’ This is shown in next slide (use two sets of L9 array) Obviously, ALL correlations between ‘X’ and any one of A, B, C and D can be studiedObviously, ALL correlations between ‘X’ and any one of A, B, C and D can be studied Noise Factor ‘X’A, B, CD Taguchi Method can study Interaction between a Noise Factor ‘X’ and (A, B, C or D) with repeated use of OA Friday, 27 April 2001

8 Noise Factor ‘X’A, B, CD Taguchi Method can study Interaction between a Noise Factor ‘X’ and (A, B, C or D) with repeated use of OA Material Hardness Expt. No. Control Factor AControl Factor BControl Factor CControl Factor D soft11111 21222 31333 42123 52231 62312 73132 83213 93321 HARD101111 HARD111222 HARD121333 HARD132123 HARD142231 HARD152312 HARD163132 HARD173213 HARD183321 Friday, 27 April 2001

9 Noise Factor ‘X’A, B, CD Taguchi Method can study Interaction between a Noise Factor ‘X’ and (A, B, C or D) 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 Friday, 27 April 2001

10 IS This IS 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 1111SoftHARD 2 /11 1222SoftHARD 3 /12 1333SoftHARD 4 /13 2123SoftHARD 5 /14 2231SoftHARD 6 /15 2312SoftHARD 7 /16 3132SoftHARD 8 /17 3213SoftHARD 9 /18 3321SoftHARD NOISE FACTOR Material Hardness Friday, 27 April 2001

11 More Tips Links below 16.Taguchi Method V a r i a n c e R e d u c t i o n Factor Effects 1 st Priority : V a r i a n c e R e d u c t i o n 2 nd Priority : Factor Effects “inner” “outer” 15. “inner” L9 array with “outer” L4 and L9 NoIsE arrays 14.Taguchi Method “inner” “outer” “inner” L18 array with “outer” L4 and L9 NoIsE arrays not 13.Taguchi Method Why/When is Taguchi Method not Appropriate? Friday, 3rd Aug 2001 Friday, 27 th July 2001 Friday, 20 th July 2001 Friday, 13 th July 2001 Tips 12, 11, 10 

12 More Tips Links below 12.Taguchi Method “inner” “outer” “inner” L8 array with “outer” L4 and L9 NoIsE arrays 11.Taguchi Method ALL Life-stages Useful at ALL Life-stages of a Process or Product 10.Taguchi Method “centering”“fine tuning” Performs Process “centering” or “fine tuning” Friday, 6 th July 2001 Friday, 29 th June 2001 Friday, 22 nd June 2001 Tips 9, 8, 7 

13 More Tips Links below NoIsE Tolerance Design 9.Taguchi Method Identifies the “right” NoIsE factor(s) for Tolerance Design 8.Taguchi Method Finds best settings to optimize TWO quality characteristics Simultaneously 7. Taguchi Method When to select a ‘Larger’ OA to perform “Factorial Experiments” Friday, 15 th June 2001 Friday, 8 th June 2001 Friday, 1 st June 2001 Tips 6, 5, 4 

14 More Tips Links below 6.Taguchi Method Using Orthogonal Arrays for Generating Balanced Combinations of NoIsE Factors approaching IDEAL value 5.Taguchi Method Signal-to-Noise Ratio for Quality Characteristics approaching IDEAL value 4. Taguchi Method improves " quality “ at all the life stages the design stage itself at the design stage itself Friday, 25 th May 2001 Friday, 18 th May 2001 Friday, 11 th May 2001 Tips 3, 2, 1 

15 More Tips Links below Concurrent Engineering 3.Taguchi Method Appropriate for Concurrent Engineering 2.Taguchi Method can study Interaction Noise Factors Control Factors between Noise Factors and Control Factors Signal-to-Noise Ratios Log form 1.Taguchi’s Signal-to-Noise Ratios are in Log form Friday, 4 th May 2001 Friday, 27 th April 2001 Friday, 6 th April 2001

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