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Why/When is Taguchi Method Appropriate? Tip #4 Robust design improves “QUALITY” at all the life stages at the design stage itself Friday, 11th May 2001 Tip #4 Robust design improves “QUALITY” at all the stages at the design stage The four stages are Design Manufacturing Customer usage Aging itself 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 " at each stage only after the product passes through that stage Robust design improves " quality " at all the stages at the design stage itself CAUSES OF "VARIATIONS" - NOISE FACTORS UNIT TOUNIT VARIATIONS RAW MATERIALS OPERATING CONDITIONS ENVIRONMENT DETERIORATION (AGING) COMPONENTS TEMPERATURE MANUFACTURING EQUIPMENT HUMIDITY DUST SUPPLY VOLTAGE WORKMANSHIP EMI VIBRATIONS HUMAN ERROR LOADING HEAVY DUTY LIGHT DUTY CONSUMABLES How to minimize the ‘effects’ of all ‘manufacturing 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 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 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 Include these ‘deteriorations’ as NoIsE while conducting Matrix experiment – Consumables Include these as ‘additional’ testing conditions for measurements How to minimize the ‘effects’ of all ‘causes of variations’ right at the design stage? • Variations during Manufacturing – Raw materials – Equipment – Workmanship Include these as NoIsE while conducting Matrix experiment • Variations during Operation/Use – Environment • Temperature, humidity, • supply voltage, EMI, • dust, vibration – Human error – Loading Include these as ‘additional’ testing conditions for measurements • Heavy duty, light duty • Variations due to aging (over time) – Components – Consumables 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 Earlier Tips Links below 15. Taguchi Method Friday, 27th July 2001 “inner” L9 array with “outer” L4 and L9 NoIsE arrays 14. Taguchi Method Friday, 20th July 2001 “inner” L18 array with “outer” L4 and L9 NoIsE arrays 13. Taguchi Method Friday, 13th July 2001 Why/When is Taguchi Method not Appropriate? Tips 12, 11, 10 Earlier Tips 12. Taguchi Method Links below Friday, 6th July 2001 “inner” L8 array with “outer” L4 and L9 NoIsE arrays 11. Taguchi Method Friday, 29th June 2001 Useful at ALL Life-stages of a Process or Product 10. Taguchi Method Friday, 22nd June 2001 Performs Process “centering” or “fine tuning” Tips 9, 8, 7 Earlier Tips 9. Taguchi Method Links below Friday, 15th June 2001 Identifies the “right” NoIsE factor(s) for Tolerance Design 8. Taguchi Method Friday, 8th June 2001 Finds best settings to optimize TWO quality characteristics Simultaneously 7. Taguchi Method Friday, 1st June 2001 When to select a ‘Larger’ OA to perform “Factorial Experiments” Tips 6, 5, 4 Earlier Tips 6. Taguchi Method Links below Friday, 25th May 2001 Using Orthogonal Arrays for Generating Balanced Combinations of NoIsE Factors 5. Taguchi Method Friday, 18th May 2001 Signal-to-Noise Ratio for Quality Characteristics approaching IDEAL value 4. Taguchi Method Friday, 11th May 2001 improves " quality “ at all the life stages at the design stage itself Tips 3, 2, 1 Earlier Tips Links below 3. Taguchi Method Appropriate for Concurrent Engineering Friday, 4th May 2001 2. Friday, 27th April 2001 Taguchi Method can study Interaction between Noise Factors and Control Factors 1. Taguchi’s Signal-to-Noise Ratios are in Log form Friday, 6th April 2001 end