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Taguchi's Method

Submitted by
Chandrmouli Singh
MBA(AB) II Year
Flow of Presentation
 Introduction
 Principles contribution
 Categories of threat optimisation
 8 steps in Taguchi's m...
Introduction
 Taguchi Method is a new engineering design optimisation
methodology that improves the quality of existing p...
Priciple Contribution
Taguchi's principle contributions to statistics are
 Taguchi loss-function
 The philosophy of off-...
Taguchi loss-function
 Adopted R A Fishers's methodology to improve mean outcome of
process
 Excessive variation lay at ...
The philosophy of off-line quality control
The best opportunity to eliminate variation is during design of a
product and i...
Innovations in the design of experiments
 Outer arrays
An orthogonal array that seeks deliberately to emulate the sources...
Categories of threat optimisation
Static Problems
A process to be optimized has several control factors which directly
dec...
Batch Process Optimization
 Smaller the better
n = -10 Log10 [ mean of sum of squares of measured data]
when there is dif...
 Nominal the best
Square of mean
n = 10 Log10 ---------------------------Variance

12/12/13

IABM Bikaner

10
Dynamic Problem
If the product to be optimized has a signal input that directly decides
the output, the optimization invol...
Technological Development
 Sensitivity (Slope)
Case I: Larger the better
n = 10 Log10 [square of slope or beta of the I/O...
8 steps in Taguchi's method
Identify the main
function, side
effects, and
failure mode

Identify the noise
factors, testin...
Taguchi's method and Indian Environment
 The liberal economic policy of globalisation
 Large multinationals are purchasi...
Taguchi's method and ISO 9000
 The ISO-9000 aims at improving the capability of an organisation as
a whole to manufacture...
Thank you...

12/12/13

IABM Bikaner

16
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Taguchi method

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Taguchi Method is a new engineering design optimisation methodology that improves the quality of existing products and processes and simultaneously reduces their costs very rapidly, with minimum engineering resources and development man-hours

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Transcript of "Taguchi method"

  1. 1. Taguchi's Method Submitted by Chandrmouli Singh MBA(AB) II Year
  2. 2. Flow of Presentation  Introduction  Principles contribution  Categories of threat optimisation  8 steps in Taguchi's methodology  Taguchi's method and Indian Environment  Taguchi's method and ISO 9000 12/12/13 IABM Bikaner 2
  3. 3. Introduction  Taguchi Method is a new engineering design optimisation methodology that improves the quality of existing products and processes and simultaneously reduces their costs very rapidly, with minimum engineering resources and development man-hours  The Taguchi Method achieves this by making the product or process performance "insensitive" to variations in factors such as materials, manufacturing equipment, workmanship and operating conditions. Taguchi method makes the product or process robust and therefore is also called as ROBUST DESIGN 12/12/13 IABM Bikaner 3
  4. 4. Priciple Contribution Taguchi's principle contributions to statistics are  Taguchi loss-function  The philosophy of off-line quality control  Innovations in the design of experiments 12/12/13 IABM Bikaner Contd... 4
  5. 5. Taguchi loss-function  Adopted R A Fishers's methodology to improve mean outcome of process  Excessive variation lay at the root of poor manufactured quality  Invovled cost to society with cost of quality  Industrial experiments seek to maximise an appropriate signal to noise ratio representing the magnitude of the mean of a process as compared to its variation 12/12/13 IABM Bikaner Contd... 5
  6. 6. The philosophy of off-line quality control The best opportunity to eliminate variation is during design of a product and its manufacturing process  System design Design at the conceptual level involving creativity and innovation  Parameter design Nominal values of the various dimensions and design parameters need to be set  Tolerance design Understanding of the effect that the various parameters have on performance, resources can be focused on reducing and controlling variation in the critical few dimensions 12/12/13 IABM Bikaner Contd... 6
  7. 7. Innovations in the design of experiments  Outer arrays An orthogonal array that seeks deliberately to emulate the sources of variation that a product would encounter in reality An example of judgement sampling Alternative approach is Chunk variable by Ellis R. Ott  Management of interactions  Analysis of experiments Novel applications of the analysis of variance and minute analysis 12/12/13 IABM Bikaner 7
  8. 8. Categories of threat optimisation Static Problems A process to be optimized has several control factors which directly decide the target or desired value of the output The optimization then involves determining the best control factor levels so that the output is at the the target value P diagram 12/12/13 IABM Bikaner Contd... 8
  9. 9. Batch Process Optimization  Smaller the better n = -10 Log10 [ mean of sum of squares of measured data] when there is difference between measured and ideal value n = -10 Log10 [ mean of sum of squares of {measured - ideal} ]  Larger the better n = -10 Log10 [mean of sum squares of reciprocal of measured data] 12/12/13 IABM Bikaner Contd... 9
  10. 10.  Nominal the best Square of mean n = 10 Log10 ---------------------------Variance 12/12/13 IABM Bikaner 10
  11. 11. Dynamic Problem If the product to be optimized has a signal input that directly decides the output, the optimization involves determining the best control factor levels so that the "input signal / output" ratio is closest to the desired relationship P diagram 12/12/13 IABM Bikaner Contd... 11
  12. 12. Technological Development  Sensitivity (Slope) Case I: Larger the better n = 10 Log10 [square of slope or beta of the I/O characteristics] Case II: Smaller the better n = -10 Log10 [square of slope or beta of the I/O characteristics]  Linearity (Larger the better) Square of slope or beta n = 10 Log10 ------------------------------------Variance 12/12/13 IABM Bikaner 12
  13. 13. 8 steps in Taguchi's method Identify the main function, side effects, and failure mode Identify the noise factors, testing conditions, and quality characteristics Identify the objective function to be optimized Conduct the matrix experiment Select the orthogonal array matrix experiment Identify the control factors and their levels Analyze the data, predict the optimum levels and performance Perform the verification experiment and plan the future action 12/12/13 IABM Bikaner 13
  14. 14. Taguchi's method and Indian Environment  The liberal economic policy of globalisation  Large multinationals are purchasing hefty equity stakes in large Indian companies  Revamping and restructuring them to suit their own product ranges  Producing world class quality products at globally competitive prices  Indian industry desperately requires Product Design to optimise the existing products and processes  The industry could reduce their costs drastically through product (process) design optimisation 12/12/13 IABM Bikaner 14
  15. 15. Taguchi's method and ISO 9000  The ISO-9000 aims at improving the capability of an organisation as a whole to manufacture products to specified technical specification and quality standards and to deliver them to the customer on time.  Taguchi Method deals the product design itself, through product and process design optimisation it improves product quality and reduces costs drastically  Taguchi Method and ISO-9000 thus complement each other. 12/12/13 IABM Bikaner 15
  16. 16. Thank you... 12/12/13 IABM Bikaner 16
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