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The Taguchi Method:
THE SERVICE MANAGER’S PRIMER TO
QUALITY
By Ruth Robertson, Boise State University
©2002
GENICHI TAGUCHI
• Born in Japan, 1924
• Electrical Engineer
• Worked during 1950’s to improve
Japan’s post-WWII telephone
communication system
• Father of the “Taguchi Method” and
“Robust Engineering”
Don’t run away!
• Not a mathematician?
• You can still successfully apply
Taguchi Method concepts to your
service business.
• Basic concepts are simple.
• Just keep reading.
Competitive Edge 101:
• “In the next century, the capability of
developing robust technology will be
essential to the competitiveness of
any manufacturing enterprise.” (Tsai)
(Taguchi: p xi)
• Substitute “robust services” and
“service enterprise.” You need this.
Competitive Edge 102:
• “To compete successfully in the
global marketplace,
organizations must have the
ability to produce a variety of
high-quality, low-cost products
that fully satisfy customers’
needs.” (Robust Engineering; p. xiii)
Quality Defined
• “Any engineered system reaches
its ‘ideal function’ when all of its
applied energy (input) is
transformed efficiently into
creating desired output energy.”
(Robust p. 6)
• Employee energy = input
• Customer satisfied = output
Basic Ideas:
• CUSTOMER SATISFACTION
• Design to the highest standards
early in the process to eliminate all
non-random errors
• Quality Loss = Loss to Society
quantified through “Quality Loss
Function”
• Variation (+/-) from optimal measure
results in a loss.
• For best results, GET HELP.
Resources Expended on
Quality
$
Design
$$
Service Delivered
$$$$$$$$$$
Post Service Delivery
Customer Satisfaction
• Ways to measure service:
1. Returning customers
2. Number of complaints (1:10)
3. Number of compliments
4. Employee attitude
Design
• Equipment – No breakdowns
• Specific jobs defined – Need to know
responsibilities
• Policies and Procedures – What do
you want, anyway?
• Taguchi Method experiment
Quality Loss Concept
• Deviation from
target results in
loss.
– Lower than
target
– Greater than
target
– Both lose
Quality Loss Function
• Quantify the Loss
• Warning:
Next slide contains
math formulas
• But give it a try!
Quality Loss Function II
L(y) = k(y-m)2
L(y) = Loss
k = constant = cost to correct
tolerance2
y = reported value
m = mean value (average)
(Taguchi On Robust Technology p. 22)
Example:
• Company C received an average of 10
complaints per month last year. In
November they received 15 complaints (y).
Management sets an acceptable level at 2
(tolerance).
• It costs the company $50 directly per
complaint to correct the problems. They
determined the cost in lost sales to be
$100.
• Total cost per complaint: $150
Example continued:
k = $150/22 = $37.50
L(y) = 37.50 (15-10)2
= 37.50 (5)2
= 37.50 (25)
= $937.50 is loss for the
month of November
MATH DONE!
Taguchi Experiment – Steps
According to Dr. Foster:
(OM Review p. 38-44)
• Managers’ job:
– Identify the Problems
– Brainstorm
– Contribute to experiment design
• Facilitator’s job:
– Design experiment
– Run experiment
– Analyze results
– Confirm experiment
Step 1:
Problem Identification
• What do managers and/or
employees see that need
improvement?
Step 2:
Brainstorming
• Identify critical variables in the
service that affect quality.
• Open and honest discourse with
all people involved.
• Decide which factors are
controllable and which are not.
Step 3:
Experiment Design
• Using results from
brainstorming session,
facilitator will design an
experiment.
• Management must understand
this part, and needs to fully
support the resources needed
for it.
Step 4:
Experiment
• Use of ANOVA requires
managers understand its use.
• Facilitator, although in charge of
the experiment, must assure
management’s understanding of
the process.
Step 5:
Analysis
• Factors closest to target
specification identified.
• Means to reduce controllable
variation produced.
Step 6:
Confirm Experiment
• Set up new system using data
from experiment.
• Test and validate results.
Conclusion:
• Best improvement is early in the process.
• Use expert consulting help for full
experiment and implementation.
• Successfully used in airlines, insurance,
hotels and restaurants.
• Quality is a major feature that sets a
service apart from the rest.
Citations:
• Foster, S. Thomas Jr. Ph. D.: “Designing and
Initiating A Taguchi Experiment in a
Services Setting” OM Review – Refereed:
Volume 9, No. 3.
• Taguchi, Genichi: Taguchi on Robust
Technology Development: Bringing Quality
Engineering Upstream; Asme Press, New
York, 1993
• Taguchi, Chowdhury, Taguchi: Robust
Engineering: Learn how to boost quality
while reducing costs and time to market;
McGraw-Hill, New York, 2000
Recommended Reading:
• In addition to cited works:
– Visit American Supply Institute
(ASI) website at www.amsup.com

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Taguchi-Method.ppt

  • 1. The Taguchi Method: THE SERVICE MANAGER’S PRIMER TO QUALITY By Ruth Robertson, Boise State University ©2002
  • 2. GENICHI TAGUCHI • Born in Japan, 1924 • Electrical Engineer • Worked during 1950’s to improve Japan’s post-WWII telephone communication system • Father of the “Taguchi Method” and “Robust Engineering”
  • 3. Don’t run away! • Not a mathematician? • You can still successfully apply Taguchi Method concepts to your service business. • Basic concepts are simple. • Just keep reading.
  • 4. Competitive Edge 101: • “In the next century, the capability of developing robust technology will be essential to the competitiveness of any manufacturing enterprise.” (Tsai) (Taguchi: p xi) • Substitute “robust services” and “service enterprise.” You need this.
  • 5. Competitive Edge 102: • “To compete successfully in the global marketplace, organizations must have the ability to produce a variety of high-quality, low-cost products that fully satisfy customers’ needs.” (Robust Engineering; p. xiii)
  • 6. Quality Defined • “Any engineered system reaches its ‘ideal function’ when all of its applied energy (input) is transformed efficiently into creating desired output energy.” (Robust p. 6) • Employee energy = input • Customer satisfied = output
  • 7. Basic Ideas: • CUSTOMER SATISFACTION • Design to the highest standards early in the process to eliminate all non-random errors • Quality Loss = Loss to Society quantified through “Quality Loss Function” • Variation (+/-) from optimal measure results in a loss. • For best results, GET HELP.
  • 8. Resources Expended on Quality $ Design $$ Service Delivered $$$$$$$$$$ Post Service Delivery
  • 9. Customer Satisfaction • Ways to measure service: 1. Returning customers 2. Number of complaints (1:10) 3. Number of compliments 4. Employee attitude
  • 10. Design • Equipment – No breakdowns • Specific jobs defined – Need to know responsibilities • Policies and Procedures – What do you want, anyway? • Taguchi Method experiment
  • 11. Quality Loss Concept • Deviation from target results in loss. – Lower than target – Greater than target – Both lose
  • 12. Quality Loss Function • Quantify the Loss • Warning: Next slide contains math formulas • But give it a try!
  • 13. Quality Loss Function II L(y) = k(y-m)2 L(y) = Loss k = constant = cost to correct tolerance2 y = reported value m = mean value (average) (Taguchi On Robust Technology p. 22)
  • 14. Example: • Company C received an average of 10 complaints per month last year. In November they received 15 complaints (y). Management sets an acceptable level at 2 (tolerance). • It costs the company $50 directly per complaint to correct the problems. They determined the cost in lost sales to be $100. • Total cost per complaint: $150
  • 15. Example continued: k = $150/22 = $37.50 L(y) = 37.50 (15-10)2 = 37.50 (5)2 = 37.50 (25) = $937.50 is loss for the month of November
  • 17. Taguchi Experiment – Steps According to Dr. Foster: (OM Review p. 38-44) • Managers’ job: – Identify the Problems – Brainstorm – Contribute to experiment design • Facilitator’s job: – Design experiment – Run experiment – Analyze results – Confirm experiment
  • 18. Step 1: Problem Identification • What do managers and/or employees see that need improvement?
  • 19. Step 2: Brainstorming • Identify critical variables in the service that affect quality. • Open and honest discourse with all people involved. • Decide which factors are controllable and which are not.
  • 20. Step 3: Experiment Design • Using results from brainstorming session, facilitator will design an experiment. • Management must understand this part, and needs to fully support the resources needed for it.
  • 21. Step 4: Experiment • Use of ANOVA requires managers understand its use. • Facilitator, although in charge of the experiment, must assure management’s understanding of the process.
  • 22. Step 5: Analysis • Factors closest to target specification identified. • Means to reduce controllable variation produced.
  • 23. Step 6: Confirm Experiment • Set up new system using data from experiment. • Test and validate results.
  • 24. Conclusion: • Best improvement is early in the process. • Use expert consulting help for full experiment and implementation. • Successfully used in airlines, insurance, hotels and restaurants. • Quality is a major feature that sets a service apart from the rest.
  • 25. Citations: • Foster, S. Thomas Jr. Ph. D.: “Designing and Initiating A Taguchi Experiment in a Services Setting” OM Review – Refereed: Volume 9, No. 3. • Taguchi, Genichi: Taguchi on Robust Technology Development: Bringing Quality Engineering Upstream; Asme Press, New York, 1993 • Taguchi, Chowdhury, Taguchi: Robust Engineering: Learn how to boost quality while reducing costs and time to market; McGraw-Hill, New York, 2000
  • 26. Recommended Reading: • In addition to cited works: – Visit American Supply Institute (ASI) website at www.amsup.com