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

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

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

4. 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

5. 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

6. 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

7. 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

8. 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

9. 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 

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 

11. 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 

12. 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 

13. 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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