<div class="description">
<dl><dd>"December 1997."</dd>
<dd>Thesis advisor(s): Keebom Kang, Donald R. Eaton</dd>
<dd>Thesis (M.S. in Management)--Naval Postgraduate School, December 1997</dd>
<dd>Includes bibliographical references (p. 55)</dd>
<dd>We have developed a decision support model to evaluate potential alternatives for improving MK 16 Mine Countermeasure (MCM) system mission readiness. Explosive ordnance disposal (EOD) resource managers are expected to maximize readiness in the face of increasing operational commitments and declining budgets. In order to remain effective in this environment, managers must take a more aggressive approach toward cost efficiency. This can be accomplished by reducing the potential variability associated with resource allocation decisions. We find we can reduce uncertainty through the use of decision support models and the application of sensitivity analysis. We will apply our model to reduce the uncertainty associated with the alternatives for improving MK 16 MCM system mission readiness</dd>
<dd>Mode of access: World Wide Web</dd>
<dd>System requirements: Adobe Acrobat reader</dd></dl><br>Subjects:</div>
<div class="fn value">
O'Rourke, Jack Redpath</div>
Internet Archive identifier