Why/When is Taguchi Method Appropriate? Tip #3 Taguchi Method Appropriate for Concurrent Engineering Friday, 4th May 2001

Taguchi Method Appropriate for Concurrent Engineering (next 7 slides) Tip #3 Taguchi Method Appropriate for Concurrent Engineering (next 7 slides) Friday, 4th May 2001

Taguchi Method P-Diagram with Internal/External noises Y Process / Product Diagram Z Control Factors Noise Factors X INTERNAL NOISE EXTERNAL NOISES Friday, 4th May 2001

Taguchi Method Effect of Internal/External noise on the output Y Process / Product Diagram Z Control Factors Noise Factors X Y INTERNAL NOISE EXTERNAL NOISES VARIATIONS Friday, 4th May 2001

Taguchi Method : Coupling 2 Process Stages Variation in output of Stage #1 acts as NOISE input to Stage #2 STAGE #1 itself is made insensitive to all noises, so that variations in its output Y1 are minimum STAGE #2 is made insensitive to variations in output of Stage #1 Process / Product Stage #2 Z Control Factors Y2 VARIATIONS Stage #1 Y1

Taguchi Method Effect of Coupling 2 Process Stages on the output Y2 Process / Product Stage #2 Z Control Factors Noise Factors X Y2 INTERNAL NOISE EXTERNAL NOISES VARIATIONS Stage #1 Y1

Taguchi Method : Coupling 2 ROBUST Process Stages STAGE #1 DESIGN OBJECTIVE : Achieve insensitivity to all noises => min. variations in its output Y1 Determine “adjustment factor” => to adjust level of Y1 STAGE #2 DESIGN OBJECTIVE : Achieve insensitivity to all noises including variations in Y1 => min. variations in its output Y2 Determine “adjustment factor” => to adjust level of Y2 Determination of an “adjustment factor at each stage” allows easy adjustment of output levels at a later time, say during integration of stages, without affecting variations

IMPORTANT Main purpose of conducting matrix experiments (using Orthogonal Arrays) to achieve insensitivity to noise by determining the best settings of control factors to identify the ‘adjustment factor’ This is achieved by Taguchi’s 2-Steps First step  minimize variance Second step  to ‘adjust’ the mean-on-target

Earlier Tips Links below Friday, 27th July 2001 Friday, 20th July 2001 Friday, 13th July 2001 Taguchi Method “inner” L9 array with “outer” L4 and L9 NoIsE arrays “inner” L18 array with “outer” L4 and L9 NoIsE arrays Taguchi Method Why/When is Taguchi Method not Appropriate? Tips 12, 11, 10 

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

Earlier Tips Links below Taguchi Method Identifies the “right” NoIsE factor(s) for Tolerance Design 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, 15th June 2001 Friday, 8th June 2001 Friday, 1st June 2001 Tips 6, 5, 4 

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

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

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