Design of Engineering Experiments
Chapter 2 Some Basic Statistical Concepts
Describing sample data
Random samples
Sample mean, variance, standard deviation
Populations versus samples
Population mean, variance, standard deviation
Estimating parameter
Chapter 14
Design and Analysis of Experiments
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Design of Engineering Experiments
Nested and Split-Plot Designs
Text reference, Chapter 14
These are multifactor experiments that have some
important industrial applications
Nested and
Chapter 11
Design & Analysis of Experiments
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Text reference, Chapter 11
Primary focus of previous chapters is
factor screening
Two-level factorials, fractional factorials are
widely used
Objective of RSM is optimization
RSM dates
Chapter 13
Design & Analysis of Experiments
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Design of Engineering Experiments Experiments with Random Factors
Text reference, Chapter 13
Previous chapters have focused primarily on fixed factors
A specific set of factor levels is c
Chapter 12
Design & Analysis of Experiments
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Robust Design
Goal is to make products and processes robust
or less sensitive to variability transmitted by
factors that cannot be easily controlled
Methods for RPD or robust parameter des
Chapter 10
Design & Analysis of Experiments
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Regression models are empirical as opposed to mechanistic models
Regression modeling is often performed on undesigned or unplanned
data
Regression modeling is also used extensively to build
Chapter 9
Design & Analysis of Experiments
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The
Chapter 9
k
3
Factorial Design
Design & Analysis of Experiments
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Notation
Factor levels are sometime denoted 1, 2, 3
Qualitative or categorical factors are low,
medi
Design of Engineering Experiments
The 2k-p Fractional Factorial Design
Text reference, Chapter 8
Motivation for fractional factorials is obvious; as the
number of factors becomes large enough to be
interesting, the size of the designs grows very quickly
Design of Engineering Experiments
Part 5 The 2k Factorial Design
Text reference, Chapter 6
Special case of the general factorial design; k factors,
all at two levels
The two levels are usually called low and high (they
could be either quantitative or q
Design of Engineering Experiments
Blocking & Confounding in the 2k
Text reference, Chapter 7
Blocking is a technique for dealing with
controllable nuisance variables
Two cases are considered
Replicated designs
Unreplicated designs
Chapter 7
Design &
Chapter 5
Design & Analysis of Experiments
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Design of Engineering Experiments
Introduction to Factorials
Text reference, Chapter 5
General principles of factorial experiments
The two-factor factorial with fixed effects
The ANOVA for f
Chapter 3
Design & Analysis of Experiments
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What If There Are More Than
Two Factor Levels?
The t-test does not directly apply
There are lots of practical situations where there are
either more than two levels of interest, or there ar
Design of Engineering Experiments
The Blocking Principle
Text Reference, Chapter 4
Blocking and nuisance factors
The randomized complete block design or
the RCBD
Extension of the ANOVA to the RCBD
Other blocking scenariosLatin square
designs
Chapter
Design and Analysis of
Engineering Experiments
Douglas C. Montgomery
Regents Professor of Industrial Engineering and Statistics
ASU Foundation Professor of Engineering
Arizona State University
Chapter 1
Design & Analysis of Experiments
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ISE 507: Design & Analysis of Experiments
Mini Project 2
Instructions
This project is open-book, open-notes, and you may work in groups of (2 or 3 people) if you wish. It is
best to attempt the work on