2. Why/When is Taguchi Method Appropriate? Friday, 11 th May 2001 Tip #4 design stage Robust design improves “QUALITY ” at all the life stages at the design stage itself

3. design stage Robust design improves “QUALITY ” at all the stages at the design stage itself The four stages are  Design  Manufacturing  Customer usage  Aging Tip #4

4. PRODUCT LIFE CYCLE Every product life cycle has four stages Design Manufacturing Customer usage Aging Every stage has a " product quality " associated with it Conventional design methods improve " quality " the product passes through that stage Robust design improves " quality " the design stage itself at all the stages at at each stage only after

6. How to minimize the ‘effects’ of all ‘manufacturing variations’ right at the design stage? Variations during ManufacturingVariations during Manufacturing –Raw materials –Equipment –Workmanship Variations during Operation/Use –Environment Temperature, humidity, supply voltage, EMI, dust, vibration –Human error –Loading Heavy duty, light duty Variations due to aging (over time) –Components –Consumables Include these as NoIsE while conducting Matrix experiment

7. How to minimize the ‘effects’ of all ‘operating variations’ right at the design stage? Variations during Manufacturing –Raw materials –Equipment –Workmanship Variations during Operation/Use –Environment Temperature, humidity, supply voltage, EMI, dust, vibration –Human error –Loading Heavy duty, light duty Variations due to aging (over time) –Components –Consumables Include these as ‘additional’ testing conditions for measurements Normal testing conditions are for capturing the effect of NoIsE included during the Matrix experiments

8. How to minimize the ‘effects’ of all ‘variations due to aging’ right at the design stage? Variations during Manufacturing –Raw materials –Equipment –Workmanship Variations during Operation/Use –Environment Temperature, humidity, supply voltage, EMI, dust, vibration –Human error –Loading Heavy duty, light duty Variations due to aging (deterioration over time) –Components –Consumables Include these as ‘additional’ testing conditions for measurements Include these ‘deteriorations’ as NoIsE while conducting Matrix experiment

9. How to minimize the ‘effects’ of all ‘causes of variations’ right at the design stage? Variations during Manufacturing –Raw materials –Equipment –Workmanship Variations during Operation/Use –Environment Temperature, humidity, supply voltage, EMI, dust, vibration –Human error –Loading Heavy duty, light duty Variations due to aging (over time) –Components –Consumables Include these as NoIsE while conducting Matrix experiment Include these as ‘additional’ testing conditions for measurements Include these ‘deteriorations’ as NoIsE while conducting Matrix experiment and/or as ‘additional’ testing conditions Normal testing conditions are for capturing the effect of NoIsE included during the Matrix experiments

10. 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 

11. 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 

12. 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 

13. 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 

14. 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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