Dynamic Commitment: Wargaming Projected Forces Against the QDR Defense Strategy

Abstract

The Dynamic Commitment Wargame Series, in support of the Quadrennial Defense Review (QDR), provided an innovative and effective means of evaluating the suitability of projected U.S. forces to respond to the range of challenges in the defense environment anticipated by the Joint Strategy Review. The Dynamic Commitment Wargame Series informed participants regarding the expected future demand on forces, such that Services were better able to articulate the effect of the examined force options. Key findings included: The projected U.S. Force (POM Force) is suitable, though stressed, to execute the strategy. The POM Force is the Program Objective Memorandum five-year proposal of each Service that translates requirements and resources into forces, manpower and material. Forward presence remains a cornerstone of strategy execution. The current force structure is fragile. Preserving the effectiveness of uniquely configured platforms or units in the face of force reductions, must receive careful consideration. Despite recognized limitations, the potential for the Dynamic Commitment gaming methodology is significant, including its ability to allow examination of near-term alternative force structures.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1997
Accession Number
ADA394532

Entities

People

  • Clarence E. Carter
  • Philip D. Coker
  • Stanley Gorenc

Organizations

  • National Defense University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Defense Planning
  • Disasters
  • Employment
  • Field Grade Officers
  • Force Structure
  • General Officers
  • Humanitarian Assistance
  • Military Operations
  • National Security
  • Personnel Management
  • Risk
  • Risk Analysis
  • Spectra
  • Unified Combatant Commands
  • United States
  • War Colleges
  • War Games

Readers

  • Maritime Combat Support and Expeditionary Logistics.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.