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<h1>DOE Component</h1>


<table>
	<th colspan=2>DOE - Visualize Data Points in Excel</th>
	<tr>
		<td>Description:</td>
		<td>This example uses Isight Excel component to illustrate the different DOE teniques. 
		In this simple two-variable problem, the following factors and responses are defined
			in this example:
			<ul>
			    <li>Control Factors (2):
			    <ul>
					<li>X1
					<li>X2
			    </ul>
			    <li>Responses (1):
				<ul>
					<li>Z
				</ul>
			</ul>
		</td>
	</tr>
	<tr>
		<td>Model:</td>
		<td><a href="MultivalleyProblemDOE.zmf">MultivalleyProblemDOE.zmf</a></td>
	</tr>
	<tr>
		<td>Illustrated components:</td>
		<td>DOE, Excel</td>
	</tr>
	<tr>
		<td>Other illustrated features:</td>
		<td>None
		</td>
	</tr>
	<tr>
		<td>Simcodes needed:</td>
		<td>None</td>
	</tr>
	<tr>
		<td>Support files needed:</td>
		<td>None</td>
	</tr>
</table>
<br>
<p>
<table>
	<th colspan=2>DOE - Airplane Sizing</th>
	<tr>
		<td>Description:</td>
		<td>This example uses Isight Design-of-Experiments to perform
			preliminary sizing of a generic aircraft.  The following factors and responses are defined
			in this example:
			<ul>
			    <li>Control Factors (9):
			    <ul>
					<li>CruiseVel - the cruise velocity
					<li>FuseDia - the fuselage diameter
					<li>FuseLngth - the fuselage length
					<li>NumEng - the number of engines
					<li>NumPass - the number of passengers
					<li>WingArea - the surface area of the wing
					<li>WingSpan - the wing span
					<li>WtFuel - the fuel weight
					<li>WtPayload - the payload weight
			    </ul>
			    <li>Responses (3):
				<ul>
					<li>LoadedWt - the loaded weight, set as an objective to be minimized
					<li>Range - the aircraft range, set as an objective to be maximized
					<li>StallSpd - the stall speed
				</ul>
			</ul>
			The optimal Latin hypercube DOE technique is used in this example.  The design matrix for this
			DOE technique is not generated automatically until the component is executed.  The matrix can be
			generated manually for review in the DOE component editor by clicking the 'Generate' button on the
			Design Matrix tab.
			<p><br>
			In this example, with 9 factors, at least 55 points are required for a full quadratic post processing
			model.  75 points are used here.
			<p><br>
			The execution summary reported on the Summary tab of the Runtime Gateway and the DOE specific graphs
			and tables can be used to review and explore results.
		</td>
	</tr>
	<tr>
		<td>Model:</td>
		<td><a href="AirplaneSizingDOE-OLH.zmf">AirplaneSizingDOE-OLH.zmf</a></td>
	</tr>
	<tr>
		<td>Illustrated components:</td>
		<td>DOE, Simcode, Calculator</td>
	</tr>
	<tr>
		<td>Other illustrated features:</td>
		<td>Parameter groups, parallel sim-flow, sim-flow merging, sim-flow annotations.
			<p>
			<br>
			DOE Post Processing Results:
			<ul>
				<li>Execution Summary Results - a summary of the DOE setup and results
				<li>Pareto Graph - a graph ranking the effects of the factors on a response
				<li>Main Effects Graph - a graph displaying main effects of each factor on a response
				<li>Interaction Graph - a graph displaying the interaction between any 2 factors for a selected response
				<li>Coefficients Table - a table displaying the coefficients of the post processing model, the
				scaled coefficients, and the normalized coefficients, for a selected response
			</ul>
		</td>
	</tr>
	<tr>
		<td>Simcodes needed:</td>
		<td><a href="../../simcodes/simcodes.html">aero</a>, <a href="../../simcodes/simcodes.html">performance</a>,
			<a href="../../simcodes/simcodes.html">weights</a>
		</td>
	</tr>
	<tr>
		<td>Support files needed:</td>
		<td>None</td>
	</tr>
</table>
<br>
<p>
<table>
	<th colspan=2>DOE - Datafile containing response values</th>
	<tr>
		<td>Description:</td>
		<td>This model demonstrates the use of the DOE component with a data file that contains both the
			factor values and response values for each experiment.  In this case, no subflow execution is
			needed.  The values in the data file are loaded into the DOE component at execution time and
			post processing is performed.
		</td>
	</tr>
	<tr>
		<td>Model:</td>
		<td><a href="DOE-DataFile.zmf">DOE-DataFile.zmf</a></td>
	</tr>
	<tr>
		<td>Illustrated components:</td>
		<td>DOE</td>
	</tr>
	<tr>
		<td>Other illustrated features:</td>
		<td>DOE Data File technique, 'File contains responses' option (advanced technique option).
		</td>
	</tr>
	<tr>
		<td>Simcodes needed:</td>
		<td>None</td>
	</tr>
	<tr>
		<td>Support files needed:</td>
		<td>None</td>
	</tr>
</table>
<br>
<p>
<table>
	<th colspan=2>DOE - Deactivating Runs</th>
	<tr>
		<td>Description:</td>
		<td>This model demonstrates the use of the DOE component with certain runs deactivated
			(DOE experiments -- rows of the DOE matrix -- disabled).  Deactivating runs may be
			appropriate/necessary when particular runs are known to fail or simply are not physically
			possible combinations of factor levels.
			<p><br>
			NOTE: deactivating specific runs of a DOE matrix that is generated randomly (Latin Hypercube
			columns are randomly shuffled), requires the seed to be fixed.
		</td>
	</tr>
	<tr>
		<td>Model:</td>
		<td><a href="DOE-DeactivateRuns.zmf">DOE-DeactivateRuns.zmf</a></td>
	</tr>
	<tr>
		<td>Illustrated components:</td>
		<td>Task, DOE, Calculator</td>
	</tr>
	<tr>
		<td>Other illustrated features:</td>
		<td>Fixed seed in Latin Hypercube DOE technique - allows the matrix produced in the editor,
			when runs are disabled, to be used at execution time.  If the seed is not fixed, the matrix
			columns are shuffled randomly at run time.
		</td>
	</tr>
	<tr>
		<td>Simcodes needed:</td>
		<td>None</td>
	</tr>
	<tr>
		<td>Support files needed:</td>
		<td>None</td>
	</tr>
</table>

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