rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Defense Resource Planning Under Uncertainty
    sub title: an Application of Robust Decision Making to Munitions Mix Planning
  title info:
    title: Application of Robust Decision Making to Munitions Mix Planning
  name:
    name part: Lempert, Robert J.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Rand Corporation
    role:
      role term: publisher.
  name:
    name part: JSTOR (Organization)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: cau
    date issued: 2016
    copyright date: 2016
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xxii, 86 pages) : color illustrations, color charts.
  abstract: "Today's defense resource planners face unprecedented uncertainty. The planning processes currently used to determine what forces and capabilities will be needed to address future threats to our national security and interests may be vulnerable to predictive failure. To manage these risks, a new approach to planning is needed to identify strategies that perform well over a wide range of threat and funding futures and thus are better able to manage surprise. This report describes how robust decision making (RDM) may help address this need. RDM, a quantitative decision support methodology for informing decisions under conditions of deep uncertainty and complexity, has been applied to many policy areas in the last decade. This document provides a proof of concept application of RDM to defense planning, focusing on the air-launched munitions mix challenge. The study embeds a fast-running "weapons on targets" allocation model within a "scenario generator" that explores many thousands of plausible, future twenty-year series of military campaigns. The RDM analysis uses these simulation models to stress-test alternative munitions mix strategies against many plausible futures. The analysis then identifies a robust munitions mix strategy, which interestingly depends not only on the desired portfolio of alternative weapons types but also on the rules used to replenish depleted weapons stocks after each campaign. The study also suggests how RDM might best be integrated into current Department of Defense planning processes and some of the challenges that might be involved"--Publisher's description.
  table of contents: Preface -- Figures -- Tables -- Summary -- Acknowledgments -- Abbreviations -- CHAPTER ONE: Introduction: Planning with Predictive Failure -- Munitions Mix Challenge -- Organization of This Report -- CHAPTER TWO: The RDM Approach to Munitions Mix Planning: Comparison of RDM and Traditional Analysis -- RDM Enables Decision Makers to Discover Robust Strategies Through Iteration -- XLRM Factors Shape the Design of the Experiment -- CHAPTER THREE: RDM Munitions Mix Analysis: Initial Analysis of a Broad Range of Munitions Mix Strategies -- Analysis of Potentially More Robust Munitions Mix Strategies -- Stress-Testing of Strategies over Many Futures -- Scenarios That Illuminate the Vulnerabilities of Strategies -- Performance of Big+Deter-Mixed Strategy in the Moderate Scenario -- Performance of the Big+Deter-Mixed Strategy in the Extreme Scenario -- Future Focus on Purchase Rules in Addition to Portfolio Goals -- CHAPTER FOUR: Conclusions: A Robust Munitions Mix Strategy -- The Future of RDM in Defense Planning -- APPENDIXES -- References.
  note: Robert J. Lempert, Drake Warren, Ryan Henry, Robert W. Button, Jonathan Klenk, Kate Giglio.
  note: Includes bibliographical references (pages 85-86)
  subject:
    name:
      name part: United States.
      name part: Department of Defense
    topic: Appropriations and expenditures
  subject:
    name:
      name part: United States.
      name part: Department of Defense.
  subject:
    geographic: United States
    topic: Armed Forces
    topic: Procurement
  subject:
    geographic: United States
    topic: Armed Forces
    topic: Weapons systems
  subject:
    geographic: United States
    topic: Armed Forces
    topic: Equipment
  subject:
    geographic: United States
    topic: Armed Forces
    topic: Ordnance and ordnance stores
  subject:
    topic: Strategy
  subject:
    topic: Decision making
  subject:
    topic: TECHNOLOGY & ENGINEERING / Military Science
  subject:
    topic: Armed Forces
    topic: Equipment and supplies
  subject:
    topic: Armed Forces
    topic: Ordnance and ordnance stores
  subject:
    topic: Armed Forces
    topic: Procurement
  subject:
    topic: Armed Forces
    topic: Weapons systems
  subject:
    topic: Decision making
  subject:
    topic: Expenditures, Public
  subject:
    topic: Strategy
  subject:
    geographic: United States
  classification: UA23.3 .L46 2016eb online
  classification: 353.6
  related item:
    title info:
      title: an application of robust decision making to munitions mix planning
    name:
      name part: Defense resource planning under uncertainty .
    note: Druck-Ausgabe
  related item:
    title info:
      title: Research report (Rand Corporation) ; RR-1112-OSD
  identifier: 9780833093059
  identifier: 0833093053
  identifier: 9780833091673
  identifier: 0833091670
  identifier: 22573/ctt19zgkw6 JSTOR
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: DOS
    record creation date: 160217
    record change date: 20260728172724.4
    record identifier: in00003910138
    language of cataloging:
      language term: eng