Cover: Zeroing In

Zeroing In

A Capabilities-based Alternative to Precision Guided Munitions Planning

Published Nov 9, 2005

by Sam Loeb

Download eBook for Free

FormatFile SizeNotes
PDF file 0.4 MB

Use Adobe Acrobat Reader version 10 or higher for the best experience.

The process currently used to inform precision guided munitions (PGM) purchasing decisions predicts demand for munitions based on a few specific scenarios and does not include cost as an integral factor. As a result, planners are not able to readily see tradeoffs between the cost and effectiveness of a munitions portfolio across a variety of uncertain war scenarios. This dissertation uses the methodologies of exploratory modeling and robust planning to create a capabilities-based framework for the analysis of PGM purchasing decisions. The research shows that exploratory analysis can be applied to understand how changes in one’s budget, production capacity and preparation time affect the optimal munitions portfolio for a single war scenario, although the Department of Defense must be prepared to face a multitude of possible wars with limited resources. Combining exploratory analysis with robust decisionmaking techniques makes it possible to create improved and flexible munitions portfolios that perform well across a variety of possible futures while operating within an economic framework.

Research conducted by

This document was submitted as a dissertation in September, 2005 in partial fulfillment of the requirements of the doctoral degree in public policy analysis at the Pardee RAND Graduate School. The faculty committee that supervised and approved the dissertation consisted of Richard Hillestad (Chair), John Peters, and Steven Bankes.

This publication is part of the RAND dissertation series. Pardee RAND dissertations are produced by graduate fellows of the Pardee RAND Graduate School, the world's leading producer of Ph.D.'s in policy analysis. The dissertations are supervised, reviewed, and approved by a Pardee RAND faculty committee overseeing each dissertation.

This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit

RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.