08. rancangan nested
TRANSCRIPT
2
Objective
Study the concept of design of
experiments focusing on Nested
Designs and Split Plot Designs.
“Well chosen experimental designs
maximize the amount of "information"
that can be obtained for a given
amount of experimental effort.” [3]
3
Outline
Nested Designs
Definition
Aim
Example
Split-Plot Designs:
Definition
Situations leading to Split-plot
Example
Initial criteria for design selection
References
Nested Designs
Definition
Aim
Example
Split-Plot Designs:
Definition
Situations
leading to
Split-plot
Example
Initial criteria for
design selection
References
4
NESTED DESIGNS
Nested Designs
Definition
Aim
Example
Split-Plot Designs:
Definition
Situations
leading to
Split-plot
Example
Initial criteria for
design selection
References
5
Definition
In certain multifactor experiments, the
levels of one factor are similar but not
identical for different levels of another
factor, (is unique to that particular
factor) this is called hierarchical or
nested design. [1]
Nested Designs
Definition
Aim
Example
Split-Plot Designs:
Definition
Situations
leading to
Split-plot
Example
Initial criteria for
design selection
References
6
Aim
Nested experiments are commonly
used to identify the important sources
of variation in a system. [4]
Such sources of variation if not well
addressed, might make it impossible to
guarantee some level of precision. [9]
Nested Designs
Definition
Aim
Example
Split-Plot Designs:
Definition
Situations
leading to
Split-plot
Example
Initial criteria for
design selection
References
7
Example [Ref:1]
1. Recognition of and statement of the problem
Consider a company that purchases its raw
material from three different suppliers. The
company wishes to determine if the purity of
the raw material is the same from each
supplier
2. Choice of factors, levels, and ranges.
There are 4 batches of raw material available
from each of 3 suppliers
Nested Designs
Definition
Aim
Example
Split-Plot Designs:
Definition
Situations
leading to
Split-plot
Example
Initial criteria for
design selection
References
8
Cont/ Example
3. Selection of the response variable.
Three determinations of purity are to be
taken from each batch
4. Choice of experimental design.
Nested design
Nested Designs
Definition
Aim
Example
Split-Plot Designs:
Definition
Situations
leading to
Split-plot
Example
Initial criteria for
design selection
References
9
Cont/ Example
5. Performing the experiment.Nested Designs
Definition
Aim
Example
Split-Plot Designs:
Definition
Situations
leading to
Split-plot
Example
Initial criteria for
design selection
References
1 2 3
1 2 3 4 1 2 3 4 1 2 3 4
x x x x x x x x x x x x
x x x x x x x x x x x x
x x x x x x x x x x x x
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SPLIT-PLOT DESIGNS
Nested Designs
Definition
Aim
Example
Split-Plot Designs:
Definition
Situations
leading to
Split-plot
Example
Initial criteria for
design selection
References
11
Definition
In some multifactor designs involving
randomized blocks, we may be unable
to completely randomize the order of
the runs within the block. This often
results in a generalization of the
randomized block design called split-
plot design. [1]
Nested Designs
Definition
Aim
Example
Split-Plot Designs:
Definition
Situations
leading to
Split-plot
Example
Initial criteria for
design selection
References
12
Situations leading to Split-plot [3]
Some of the factors of interest may be 'hard to vary' while the remaining factors are easy to vary. As a result, the order in which the treatment combinations for the experiment are run is determined by the ordering of these 'hard-to-vary' factors
Experimental units are processed together as a batch for one or more of the factors in a particular treatment combination
Experimental units are processed individually, one right after the other, for the same treatment combination without resetting the factor settings for that treatment combination.
Nested Designs
Definition
Aim
Example
Split-Plot Designs:
Definition
Situations
leading to
Split-plot
Example
Initial criteria for
design selection
References
13
Example [Ref:3]
1. Recognition of and statement of the problem
Consider an experiment to examine
electroplating of aluminum (non-aqueous) on
copper strips (sample=16).
2. Choice of factors, levels, and ranges.
The three factors of interest are: current (A);
solution temperature (T); and the solution
concentration of the plating agent (S)
Nested Designs
Definition
Aim
Example
Split-Plot Designs:
Definition
Situations
leading to
Split-plot
Example
Initial criteria for
design selection
References
14
Cont/ Example
3. Selection of the response variable.
Plating rate is the measured response.
4. Choice of experimental design.
Split Plot design
Nested Designs
Definition
Aim
Example
Split-Plot Designs:
Definition
Situations
leading to
Split-plot
Example
Initial criteria for
design selection
References
15
Cont/ Example
5. Performing the experiment.
Current Temperature Concentration
-1 -1 -1
-1 -1 1
-1 1 -1
-1 1 1
1 -1 -1
1 -1 1
1 1 -1
1 1 1
Factor solution concentration of the plating agent (S) being
hard to vary
Nested Designs
Definition
Aim
Example
Split-Plot Designs:
Definition
Situations
leading to
Split-plot
Example
Initial criteria for
design selection
References
16
the randomization of the treatment runs is restricted somewhat by the level of the solution concentration factor.
the treatment combinations might be randomized such that those treatment runs corresponding to one level of the concentration (-1) are run first. Each copper strip is individually plated, meaning only one strip at a time is placed in the solution for a given treatment combination. Once the four runs at the low level of solution concentration have been completed, the solution is changed to the high level of concentration (1), and the remaining four runs of the experiment are performed (where again, each strip is individually plated).
Cont/ Example
Nested Designs
Definition
Aim
Example
Split-Plot Designs:
Definition
Situations
leading to
Split-plot
Example
Initial criteria for
design selection
References
17
Initial criteria for design selection
(1/5)
Criteria NESTED SPLIT
Objective Screening Screening
Identical levels Not identical Identical
Sources of variation Many Min
# of experimental
units
One More than one
Randomization Partially restricted Restricted
Allow interaction Not between
nested factors
Yes
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Criteria NESTED SPLIT
sufficient distribution of
information
Goodness of fit
Provide model Yes Yes
Detect model lack of fit Yes Yes
Allow blocking Yes Yes
Allow sequential buildup
of design
Initial criteria for design selection
(2/5)
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Criteria NESTED SPLIT
Provides internal estimate
of error variance
Yes (more than
1error variance)
Yes (more than
1error variance)
Provide simple means of
calculating estimates of
coefficients
Run size economy
Design Resolution
Minimum aberration
Minimum Detectable
Effect
Initial criteria for design selection
(3/5)
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Criteria NESTED SPLIT
Orthogonality
Balance Yes depending
on the situation
Yes depending
on the situation
Confounding ability Yes
Allow mixed model Yes Yes
Degree of model allowed Linear or
Quadratic
Linear or
Quadratic
Allow collapsing of factor
optimal process settings N/A N/A
Initial criteria for design selection
(4/5)
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Criteria NESTED SPLIT
Efficiency of design
effecting the budget of the
experiment.
Economic
estimate of pure error by
replicating only some of
the runs
Yes Yes
design can handle the
number of levels involved
Rotatability
Initial criteria for design selection
(5/5)
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References
[1] Design and Analysis of Experiments, by Montgomery
[2] Design of Experiments: A No-Name Approach by Thomas J.
Lorenzen, Virgil L. Anderson.
[3] http://www.itl.nist.gov/div898/handbook/pri/section1/pri11.htm
[4] Improved Quality through planned experimentation
[5] Engineering Quality and Experimental Design, by D. M.
Grove and T. P. Davis
[6] Experimental designs, by Cochran and Cox.
[7] The Theory of the Design of Experiments, by D.R. Cox and
N. Reid
[8] Design and Analysis: A Researcher’s handbook, by Geoffrey
Keppel
[9] Design Your Experiments Part XIII: Other Experiment
Designs, by Kevin Kilty
Nested Designs
Definition
Aim
Example
Split-Plot Designs:
Definition
Situations
leading to
Split-plot
Example
Initial criteria for
design selection
References