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

Slides:



Advertisements
Similar presentations
Prof. Steven D.Eppinger MIT Sloan School of Management.
Advertisements

Robust System Design MIT MatrixExperiments Using Orthogonal Arrays.
…We have a large reservoir of engineers (and scientists) with a vast background of engineering know-how. They need to learn statistical methods that can.
Taguchi Design of Experiments
Why/When is Taguchi Method Appropriate? A new tip Every Friday Friday, 3rd August 2001.
Why/When is Taguchi Method Appropriate? Friday, 25 th May 2001 Tip #6 Using Orthogonal Arrays for Generating Balanced Combinations of NoIsE Factors.
Fractional Factorial Designs of Experiments
Robust Design and Two-Step Optimization Lihui Shi.
Stat 321 A Taguchi Case Study Experiments to Minimize Variance.
8.1 Chapter 8 Robust Designs. 8.2 Robust Designs CS RO R Focus: A Few Primary Factors Output: Best/Robust Settings.
CHE 185 – PROCESS CONTROL AND DYNAMICS PID CONTROL APPLIED TO MIMO PROCESSES.
Using process knowledge to identify uncontrolled variables and control variables as inputs for Process Improvement 1.
Robust Design (Taguchi Method)
Taguchi’s Definition of Quality –or lack thereof “ The loss a product causes society after it is shipped ” Loss due to 1)Variability in function 2) Harmful.
IE 673Session 7 - Process Improvement (Continued) 1 Process Improvement (Continued)
Stat Today: Start Chapter 10. Additional Homework Question.
MAE 552 Heuristic Optimization Instructor: John Eddy Lecture #16 3/1/02 Taguchi’s Orthogonal Arrays.
IV.4.1 IV.4 Signal-to-Noise Ratios o Background o Example.
TAGUCHI’S CONTRIBUTIONS TO EXPERIMENTAL DESIGN & QUALITY ENGINEERING.
What is Robust Design or Taguchi’s method? An experimental method to achieve product and process quality through designing in an insensitivity to noise.
Lecture 16 Today: Next day:. Two-Step Optimization Procedures Nominal the best problem: –Select the levels of the dispersion factors to minimize.
Improving Stable Processes Professor Tom Kuczek Purdue University
I.5 Taguchi’s Philosophy  Some Important Aspects  Loss Functions  Exploiting Nonlinearities  Examples  Taguchi - Comments and Criticisms.
P M V Subbarao Professor Mechanical Engineering Department
Introduction to Robust Design and Use of the Taguchi Method.
Design of Experiments Chapter 21.
Chapter 6 System Engineering - Computer-based system - System engineering process - “Business process” engineering - Product engineering (Source: Pressman,
Fall 2003 – Session 6Problem Solving, Design, and System Improvement Process Capability  C p = (design tolerance width)/(process width) = (max-spec –
Robust Design ME 470 Systems Design Fall Why Bother? Customers will pay for increased quality! Customers will be loyal for increased quality!
MIT Objectives Review the format and expectations for the final exam Review material needed to succeed on the final exam Set the material from the course.
Why/When is Taguchi Method Appropriate? Friday, 1 st June 2001 Tip #7 Taguchi Method : When to Select a ‘larger’ OA to perform “Factorial Experiments”
Slack, Chambers and Johnston, Operations Management 5 th Edition © Nigel Slack, Stuart Chambers, and Robert Johnston 2007 Chapter 5 Product and service.
Taguchi Methods Genichi Taguchi has been identified with the advent of what has come to be termed quality engineering. The goal of quality engineering.
 (Worse) It is a fact that engineers select an appropriate variable and the transformed observations are treated as though they are normally distributed.
ROBUST DESIGN.
MSE-415: B. Hawrylo Chapter 13 – Robust Design What is robust design/process/product?: A robust product (process) is one that performs as intended even.
Friday, 13 th July 2001 Of Course It is tip # 13 as well as It is Friday the 13th Why/When is Taguchi Method Appropriate?NOT.
Robust System Design Session #11 MIT Plan for the Session Quiz on Constructing Orthogonal Arrays (10 minutes) Complete some advanced topics on OAs Lecture.
Why/When is Taguchi Method Appropriate? Friday, 18 th May 2001 Tip #5 Taguchi Method Appropriate Signal-to-Noise Ratio Appropriate Signal-to-Noise Ratio.
The American University in Cairo Interdisciplinary Engineering Program ENGR 592: Probability & Statistics 2 k Factorial & Central Composite Designs Presented.
 (Worse) Operational procedures are manipulated so that the parameters can be determined.  (Better) Engineers manipulate operational procedures to determine.
Why/When is Taguchi Method Appropriate? A new tip Every Friday Friday, 29 th June 2001.
Why/When is Taguchi Method Appropriate? Friday, 11 th May 2001 Tip #4 design stage Robust design improves “QUALITY ” at all the life stages at the design.
Why/When is Taguchi Method Appropriate? Tip #2 Taguchi Method Can Study Interaction between NoIsE Factors and Control Factors Friday, 27 April 2001.
X. EXPERIMENTAL DESIGN FOR QUALITY
Slide 1 Loss Function Losses begin to accrue as soon as a quality characteristic of a product or service deviates from the nominal value Under the Taguchi.
TAUCHI PHILOSOPHY SUBMITTED BY: RAKESH KUMAR ME
TAGUCHI PHILOSOPHY-- CONCEPT OF PARAMETER DESIGN &ROBUST DESIGN THREE PRODUCT DEVELOPMENT STAGES:- PRODUCT DESIGN PROCESS DESIGN PRODUCTION SOURCES OF.
Adviser : David. T.W. Lin Reporter : Chi-Hung Tsai 1 Date : 2014/07/01.
Taguchi Quality Loss Function
Why/When is Taguchi Method Appropriate?
Why/When is Taguchi Method Appropriate?
Why/When is Taguchi Method Appropriate?
Why/When is Taguchi Method Appropriate?
Why/When is Taguchi Method Appropriate?
Why/When is Taguchi Method Appropriate?
The Transformation of A Small Company Into A Golden Legend
Why/When is Taguchi Method Appropriate?
Why/When is Taguchi Method Appropriate?
Why/When is Taguchi Method Appropriate?
Why/When is Taguchi Method Appropriate?
Why/When is Taguchi Method Appropriate?
Why/When is Taguchi Method Appropriate?
Why/When is Taguchi Method Appropriate?
Why/When is Taguchi Method Appropriate?
Why/When is Taguchi Method Appropriate?
Why/When is Taguchi Method Appropriate?
Why/When is Taguchi Method Appropriate?
Presentation transcript:

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

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

Taguchi Method P-Diagram with Internal/External noises Friday, 4 th May 2001 Y Process / Product Diagram Z Control Factors X Noise Factors X INTERNAL NOISEEXTERNAL NOISES

Taguchi Method Effect of Internal/External noise on the output Y Friday, 4 th May 2001 Process / Product Diagram Z Control Factors X Noise Factors X Y INTERNAL NOISE EXTERNAL NOISES VARIATIONS

Taguchi Method : Coupling 2 Process Stages Process / Product Stage #2 Z Control Factors Y 2 VARIATIONS Process / Product Stage #1 Z Control Factors Y 1 VARIATIONS 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 Y 1 are minimum STAGE #2 is made insensitive to variations in output of Stage #1

Taguchi Method Effect of Coupling 2 Process Stages on the output Y 2 Process / Product Stage #2 Z Control Factors X Noise Factors X Y 2 INTERNAL NOISE EXTERNAL NOISES VARIATIONS Process / Product Stage #1 Z Control Factors X Noise Factors X Y 1 INTERNAL NOISE EXTERNAL NOISES VARIATIONS

ROBUST Taguchi Method : Coupling 2 ROBUST Process Stages STAGE #1 DESIGN OBJECTIVE : Achieve insensitivity to all noises => min. variations in its output Y 1 Determine “adjustment factor” => to adjust level of Y 1 STAGE #2 DESIGN OBJECTIVE : Achieve insensitivity to all noises including variations in Y 1 => min. variations in its output Y 2 Determine “adjustment factor” => to adjust level of Y 2 Determination of an “adjustment factor at each stage” allows easy adjustment of output levels at a later time, without affecting variations 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

More Tips Links below 16.Taguchi Method V a r i a n c e R e d u c t i o n Factor Effects 1 st Priority : V a r i a n c e R e d u c t i o n 2 nd Priority : Factor Effects “inner” “outer” 15. “inner” L9 array with “outer” L4 and L9 NoIsE arrays 14.Taguchi Method “inner” “outer” “inner” L18 array with “outer” L4 and L9 NoIsE arrays not 13.Taguchi Method Why/When is Taguchi Method not Appropriate? Friday, 3rd Aug 2001 Friday, 27 th July 2001 Friday, 20 th July 2001 Friday, 13 th July 2001 Tips 12, 11, 10 

More Tips Links below 12.Taguchi Method “inner” “outer” “inner” L8 array with “outer” L4 and L9 NoIsE arrays 11.Taguchi Method ALL Life-stages Useful at ALL Life-stages of a Process or Product 10.Taguchi Method “centering”“fine tuning” Performs Process “centering” or “fine tuning” Friday, 6 th July 2001 Friday, 29 th June 2001 Friday, 22 nd June 2001 Tips 9, 8, 7 

More Tips Links below NoIsE Tolerance Design 9.Taguchi Method Identifies the “right” NoIsE factor(s) for Tolerance Design 8.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, 15 th June 2001 Friday, 8 th June 2001 Friday, 1 st June 2001 Tips 6, 5, 4 

More Tips Links below 6.Taguchi Method Using Orthogonal Arrays for Generating Balanced Combinations of NoIsE Factors approaching IDEAL value 5.Taguchi Method Signal-to-Noise Ratio for Quality Characteristics approaching IDEAL value 4. Taguchi Method improves " quality “ at all the life stages the design stage itself at the design stage itself Friday, 25 th May 2001 Friday, 18 th May 2001 Friday, 11 th May 2001 Tips 3, 2, 1 

More Tips Links below Concurrent Engineering 3.Taguchi Method Appropriate for Concurrent Engineering 2.Taguchi Method can study Interaction Noise Factors Control Factors between Noise Factors and Control Factors Signal-to-Noise Ratios Log form 1.Taguchi’s Signal-to-Noise Ratios are in Log form Friday, 4 th May 2001 Friday, 27 th April 2001 Friday, 6 th April 2001

end