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This tip explains why and when the Taguchi Method is appropriate for concurrent engineering, and how it can help optimize process and product designs. It also explores the effect of noise factors and control factors on the output of the system.
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Why/When is Taguchi Method Appropriate? Tip #3 Taguchi Method Appropriate for Concurrent Engineering Friday, 4th May 2001
Tip #3 Taguchi Method Appropriate for Concurrent Engineering(next 7 slides) Friday, 4th May 2001
Noise FactorsX INTERNAL NOISE EXTERNAL NOISES Process / Product Diagram Y Z Control Factors Taguchi Method P-Diagram with Internal/External noises Friday, 4th May 2001
Noise FactorsX EXTERNAL NOISES Process / Product Diagram Y VARIATIONS INTERNAL NOISE Z Control Factors Taguchi Method Effect of Internal/External noise on the output Y Friday, 4th May 2001
Y1 Process / Product Stage #1 Process / Product Stage #2 Y2 VARIATIONS VARIATIONS Z Control Factors Z Control Factors Taguchi Method : Coupling 2 Process Stages • Variation in output of Stage #1acts 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
Noise FactorsX Noise FactorsX EXTERNAL NOISES EXTERNAL NOISES Y1 Process / Product Stage #1 Process / Product Stage #2 Y2 VARIATIONS VARIATIONS INTERNAL NOISE INTERNAL NOISE Z Control Factors Z Control Factors Taguchi Method Effect of Coupling 2 Process Stages on the output Y2
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 noisesincluding 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
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
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
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
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
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