Why/When is Taguchi Method Appropriate? Friday, 1 st June 2001 Tip #7 Taguchi Method : When to Select a ‘larger’ OA to perform “Factorial Experiments”

We always ‘think’ about ‘reducing’ the number of experiments (to minimize the ‘resources’ – equipment, materials, manpower and time) However, doing ALL / Factorial experiments is a good idea if ‘cheap/quick’ ‘expensive/take too long’ –Conducting experiments is ‘cheap/quick’ but measurements are ‘expensive/take too long’ NOT –The experimental facility will NOT be available later to conduct the ‘verification’ experiment NOT separate –We do NOT wish to conduct separate experiments for studying interactions between Control Factors Tip #7

Taguchi Method : When to perform ALL / “Factorial Experiments” Conducting ALL / Factorial experiments is a good idea if ‘cheap’ –Conducting experiments is ‘cheap’ (and in-house) ‘expensive’ but measurements are ‘expensive’ (to be done elsewhere) When an apparatus is fully set-up, it may be rather easy to conduct the experiments quickly (if we are not hampered by measurements in between the experiments) Just collect all samples (that have ‘captured’ the effects of NoIsE factors) Send samples (elsewhere) for measurements (make sure that these will capture the effects of NoIsE)

Conducting ALL / Factorial experiments is a good idea if NOT LATER –The experimental facility will NOT be available LATER to conduct the ‘verification’ experiment A typical case when experiments are done On Production equipment On Borrowed equipment In presence of visiting ‘experts’ Taguchi Method : When to perform ALL / “Factorial Experiments”

Conducting ALL / Factorial experiments is a good idea if NOT separate interactions –We do NOT wish to conduct separate experiments for studying interactions between Control Factors –Analyze without considering interactions, Predict best combinations of control factors as well as Best results. Check this out – we already HAVE the results of the best experiment –If the results do not match, Evaluate the “key” interactions – again check results –If the results ‘still’ do not match, Evaluate “all” interactions – again check results Taguchi Method : When to perform ALL / “Factorial Experiments”

Taguchi Method : How to Select a ‘larger’ OA to perform “Factorial Experiments” Control Factors and Levels Factorial Combinations Suitable OA 2 CF / 2-levels 4L4 3 CF / 2-levels 8L8 4 CF / 2-levels 16L16 5 CF / 2-levels 32L32

Taguchi Method : How to Select a ‘larger’ OA to perform “Factorial Experiments” Control Factors and Levels Factorial Combinations Suitable OA 2 CF / 3-levels 9L9 1 CF / 2-levels 2 CF / 3-levels 18L18 3 CF / 3-levels 27L27 1 CF / 2-levels 3 CF / 3-levels 54L54

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 

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 

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 

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 

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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