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© 2009 Factory Strategies Group LLC. All rights reserved. Design of Experiments Quality Series (Sample Slides)
2 © 2009 Factory Strategies Group LLC. All rights reserved. Outline What is Design of Experiments? Method Step 1: Model Variables Step 2: Set Variable Targets Step 3: Experimental Plan Step 4: Testing Step 4: Analysis Effects, Replicates & Interactions
3 © 2009 Factory Strategies Group LLC. All rights reserved. DOE Goal Overall goal: To model a performance parameter (i.e., a physical phenomenon) as a function of design variables (i.e., things we can control about the design) Our approach: Follow the DOE methodology
4 © 2009 Factory Strategies Group LLC. All rights reserved. Step 5: Analysis Determine ß coefficients Regression analysis may be used (spreadsheets) ßs can be defined in terms of the effect a variable xi has on the perf. parameter
5 © 2009 Factory Strategies Group LLC. All rights reserved. Using the Effects From a response diagram point of view: Plot values of y vs. xi(-) and xi(+) Important DVDV has no effect on perf.
Copyright © 2010 Pearson Addison-Wesley. All rights reserved. Chapter 15 2 k Factorial Experiments and Fractions.
Engineering Statistics Design of Engineering Experiments.
Lecture 16 Today: Next day:. Two-Step Optimization Procedures Nominal the best problem: –Select the levels of the dispersion factors to minimize.
Lecture 23 Second order system step response Governing equation Mathematical expression for step response Estimating step response directly from differential.
GSS is a spreadsheet for manipulating and plotting geochemical data. Right-click to convert units.
© 2009 Factory Strategies Group LLC. All rights reserved. Safety Series (Sample Slides) Lockout - Tagout.
© 2009 Factory Strategies Group LLC. All rights reserved. The Balanced Scorecard Enterprise Excellence Series (Sample Slides)
Quantitative Methods Interactions - getting more complex.
ANalysis Of VAriance. ANOVA Tests of differences reflect differences in central tendency of variables between groups and measures. Correlation and regression.
1. Complete SRTE on ANGEL 2. Project Due Wed midnight on ANGEL 3. Complete post-test Dec 6, 12pm – Dec 8, 12pm Up to 2% extra credit on your overall grade.
SUMS OF SQUARES (SS) Set 1 ______ Set 2____________ _ _ _ _ X X - X (X-X)2 X X - X (X-X)2.
Scatter Diagrams scatter plot scatter diagram A scatter plot is a graph that may be used to represent the relationship between two variables. Also referred.
Simple Linear Regression. The term linear regression implies that Y|x is linearly related to x by the population regression equation Y|x = + x.
Lecture 9 Last day: Today: Finish last day and start , Next day: Assignment #2: Chapter 2: 6, 15 (treat tape speed and laser power.
1 1 Slide Simple Linear Regression Chapter 14 BA 303 – Spring 2011.
1 PERFORMANCE EVALUATION H Often one needs to design and conduct an experiment in order to: – demonstrate that a new technique or concept is feasible –demonstrate.
Design and Analysis of Experiments Dr. Tai-Yue Wang Department of Industrial and Information Management National Cheng Kung University Tainan, TAIWAN,
Analytical vs. Numerical Minimization Each experimental data point, l, has an error, ε l, associated with it ‣ Difference between the experimentally measured.
1 Power Projects 3 Logistics Put power point slide show on a high density floppy disk for a WINTEL machine. the slide-show.
Stat Today: Start Chapter 10. Additional Homework Question.
Top right corner for field-mark, customer or partner logotypes. See Best practice for example. Slide title 40 pt Slide subtitle 24 pt Text 24 pt Bullets.
Pearson’s Correlation The Pearson correlation coefficient is the most widely used for summarizing the relation ship between two variables that have a straight.
Biostatistics-Lecture 9 Experimental designs Ruibin Xi Peking University School of Mathematical Sciences.
STAT 104 Section 6 Daniel Moon. Agenda Review Midterm 1 Practice Problems.
Completing the ANOVA From the Summary Statistics.
Regression Analysis Part C Confidence Intervals and Hypothesis Testing Read Chapters 3, 4 and 5 of Forecasting and Time Series, An Applied Approach.
Process exploration by Fractional Factorial Design (FFD)
Correlational Research Strategy. Recall 5 basic Research Strategies Experimental Nonexperimental Quasi-experimental Correlational Descriptive.
1-1 The Engineering Method and Statistical Thinking Engineers solve problems of interest to society by the efficient application of scientific principles.
JMB Chapter 1EGR Spring 2010 Slide 1 Probability and Statistics for Engineers Descriptive Statistics Measures of Central Tendency Measures.
One-Factor Experiments Andy Wang CIS 5930 Computer Systems Performance Analysis.
1 Wayne Leahy Outline Cognitive Load Theory (CLT) brief summary Research examples Current research experiment and directions.
McGraw-Hill/Irwin © 2003 The McGraw-Hill Companies, Inc.,All Rights Reserved. Part Three SOURCES AND COLLECTION OF DATA.
Statistics for the Social Sciences Psychology 340 Spring 2005 Course Review.
© 1998, Geoff Kuenning General 2 k Factorial Designs Used to explain the effects of k factors, each with two alternatives or levels 2 2 factorial designs.
Multiple Regression in Practice The value of outcome variable depends on several explanatory variables. The value of outcome variable depends on several.
1 1 Slide © 2008 Thomson South-Western. All Rights Reserved Slides by JOHN LOUCKS St. Edward’s University.
Lecture 7: Parametric Models for Covariance Structure (Examples)
Multiple Linear Regression Response Variable: Y Explanatory Variables: X 1,...,X k Model (Extension of Simple Regression): E(Y) = + 1 X 1 + + k.
1 The Role of Statistics in Engineering ENM 500 Chapter 1 The adventure begins… A look ahead.
1.Basic Principles & Definitions 2.The Advantage 3.Two-Factorial Design 4.Number of Replicates 5.General Factorial Design 6.Response Surfaces & Contour.
INTRODUCTION TO EMBEDDED SYSTEMS INTERFACING TO THE FREESCALE 9S12 Power Point Presentation Local Variables and Parameter Passing 8-1.
1 DSCI 3023 Linear Regression Outline Linear Regression Analysis –Linear trend line –Regression analysis Least squares method –Model Significance Correlation.
BPA CSUB Prof. Yong Choi. Midwest Distribution 1. Create scatter plot Find out whether there is a linear relationship pattern or not Easy and simple using.
Principles of Experimental Design Chapter 11. Principles of Experimental Design Control the effects of lurking variables on the response with a plan.
© The McGraw-Hill Companies, Inc., 2000 Business and Finance College Principles of Statistics Lecture 10 aaed EL Rabai week
1 Chapter 3 Multiple Linear Regression Ray-Bing Chen Institute of Statistics National University of Kaohsiung.
Economics 310 Lecture 11 Dummy variables and Varying Parameters models.
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