Download Why Taguchi Method Tip #4

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