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To meet the Air Force's goals of global strike and persistent dominance, it is vital that the support for the warfighter be efficient in all aspects of deployment, employment, and redeployment. In order for rapid deployments to succeed, the Air Force must determine where combat support assets should be forward positioned. Previously, much of the focus has been on allocating resources to different regions of the world; now the focus is on finding a more efficient and effective global allocation that is not regionally constrained. The objective of this dissertation is to identify a robust set of facility locations for the Air Force to place combat support basing materiel that will cover a broad range of potential missions (e.g., training, humanitarian, and major combat operations) that may occur around the world. These decisions are modeled using mixed integer programming models. Because the Air Force faces risks associated with the loss of access to such storage sites, this dissertation addresses the ability of the network to perform well even when parts of it fail, a concept referred to as reliability. These models are used to identify the additional costs necessary to build varying levels of reliability into the solutions. These solutions will take into account risk and uncertainties, while meeting time constraints associated with the delivery of materiel.

Table of Contents

  • Chapter One

    Introduction

  • Chapter Two

    Methodological Background

  • Chapter Three

    Scenarios and Data

  • Chapter Four

    Multiple Posture Model

  • Chapter Five

    Single Node Failure Reliability Model

  • Chapter Six

    Multiple Node Failure Reliability Model

  • Chapter Seven

    Disaster Preparedness

  • Chapter Eight

    Conclusion

  • Appendix A

    FSL Site Selection and Transportation Non-Reliability Model Formulation

  • Appendix B

    General Algebraic Modeling System for the Non-Reliability Model

  • Appendix C

    FSL Site Selection and Transportation Reliability Model Formulation

  • Appendix D

    General Algebraic Modeling System for the Reliability Model

Research conducted by

This document was submitted as a dissertation in August 2009 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 Ronald McGarvey (Chair), Mahyar Amouzegar, Don Snyder, and Susan Marquis.

This report is part of the RAND Corporation 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.

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