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A concern within the Air Force is that headquarters-level program decisions sometimes fail to give sufficient priority to requests important to meeting warfighter needs. This technical report documents a phase-one effort to develop new methods to help ensure that warfighter needs are adequately represented as the Air Force manages its programs and budget. Drawing on previous RAND work on capabilities-based planning and portfolio management, the authors outline a method that considers measures of combat effectiveness, as well as cost-effectiveness from multiple perspectives, to compare composite options — that is, options involving multiple platforms and capabilities — for accomplishing a given mission. The authors illustrate the method by applying it to the mission of close air support, using notional data.

Table of Contents

  • Chapter One

    Introduction

  • Chapter Two

    Defining the Mission Area and Challenge Cases

  • Chapter Three

    A Capability Model for CAS Mission-Area Analysis

  • Chapter Four

    Illustrative Capability Options

  • Chapter Five

    Portfolio Analysis of CAS Capability Options

  • Chapter Six

    Conclusions and Recommendations for next Steps

  • Appendix A

    The CASeM Model

  • Appendix B

    A Motivated Metamodel Connected to CASeM .

  • Appendix C

    Details of Portfolio-Analysis Structure

Research conducted by

The research described in this report was sponsored by the United States Air Force and conducted by RAND Project AIR FORCE.

This report is part of the RAND Corporation Technical report series. RAND technical reports may include research findings on a specific topic that is limited in scope or intended for a narrow audience; present discussions of the methodology employed in research; provide literature reviews, survey instruments, modeling exercises, guidelines for practitioners and research professionals, and supporting documentation; or deliver preliminary findings. All RAND reports undergo rigorous peer review to ensure that they meet high standards for research quality and objectivity.

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