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Why/When is Taguchi Method Appropriate?

Understand why and when the Taguchi Method is appropriate for variance reduction and to determine factor effects in process optimization. Learn how to use factor-effect plots for signal-to-noise ratio and mean optimization. Discover the significance of adjustment factors and overall robustness in improving product or process quality.

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Why/When is Taguchi Method Appropriate?

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  1. Why/When is Taguchi Method Appropriate? A new tip Every Friday Friday, 3rd August 2001

  2. New Tip #16 Taguchi Method 1st Priority : Variance Reduction2nd Priority : Factor Effects(next 4 slides) Friday, 3rd August 2001

  3. Symbols : Taguchi Method 1st Priority :VarianceReduction2nd Priority : Factor Effects • VarianceReduction : USE Factor-Effect Plot for S/N Ratio : Select ‘dominant’ Control Factor (and their Levels) such that “variance” is minimized Neutral Factor S / N RATIO  A1 A2 A3 B1 B2 B3 C1 C2 C3 D1 D2 D3 • “put” the “mean-on-target” : USE Factor-Effect Plot for Mean : • Select one of the ‘neutral’ Control Factors as the “adjustment factor” Mean  Adjustment Factor A1 A2 A3 B1 B2 B3 C1 C2 C3 D1 D2 D3

  4.  useful Mean Square  = ----------------- = -----------------  Harmful Variance Symbols : Taguchi Method 1st Priority :VarianceReduction • S/N Ratio (Objective Function) Taguchi methods are experimental statistical methods to optimize a given process technology with respect to an objective function defined as • The Ideal Value of the S/N Ratio is  (infinity). • Since the ideal value of the Ratio is  (infinity), •  the primary importance is shifted to “reduction in Variance” to 0 (zero) •  making “improving mean” asecondary objective (as in conventional approach)

  5. Symbols : Taguchi Method 1st Priority :VarianceReduction and “put” the “mean-on-target” • Variance is, in fact, reduced in presence of NoIsE and thus the product/process becomes “ROBUST” • Identify an “adjustment factor” that has little or no effect on the variance but has a large effect on the mean  use the ‘adjustment factor’ to “put” the “mean-on-target”

  6. Symbols : Taguchi Method 1st Priority :VarianceReduction2nd Priority : Factor Effects • Factor-Effect Plot for S/N Ratio : Select ‘dominant’ Control Factor (and their Levels) such that “variance” is minimized Neutral Factor S / N RATIO  A1 A2 A3 B1 B2 B3 C1 C2 C3 D1 D2 D3 • Factor-Effect Plot for Mean : A, C, D Levels are selected from S/N ratio plot • Select one of the ‘neutral’ Control Factors as the “adjustment factor” •  use this ‘adjustment factor’ to “put” the “mean-on-target” Do not select from this plot Mean  Adjustment Factor A1 A2 A3 B1 B2 B3 C1 C2 C3 D1 D2 D3

  7. Taguchi Method 1st Priority : Variance Reduction2nd Priority : Factor Effects 15.“inner” L9 array with “outer” L4 and L9 NoIsE arrays Taguchi Method “inner” L18 array with “outer” L4 and L9 NoIsE arrays Taguchi Method Why/When is TaguchiMethod not Appropriate? Friday, 3rd Aug 2001 Friday, 27th July 2001 Friday, 20th July 2001 Friday, 13th July 2001 More Tips Links below Tips 12, 11, 10 

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

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

  10. Taguchi MethodUsing Orthogonal Arrays for Generating Balanced Combinations of NoIsE Factors Taguchi MethodSignal-to-Noise Ratio for Quality Characteristicsapproaching IDEAL value 4. Taguchi Methodimproves " quality “ at all the life stages atthe design stage itself Friday, 25th May 2001 Friday, 18th May 2001 Friday, 11th May 2001 More Tips Links below Tips 3, 2, 1 

  11. 3. Taguchi MethodAppropriate forConcurrent Engineering 2. Taguchi Methodcan studyInteraction between Noise Factors and Control Factors 1. Taguchi’sSignal-to-Noise Ratiosare inLog form Friday, 4th May 2001 Friday, 27th April 2001 Friday, 6th April 2001 More Tips Links below

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