The Feasibility of Measuring the Contribution of Artificial Obstacle Systems to Force Performance

Abstract

This thesis studies the contribution which artificial barriers make to the combat process. The U.S. Army is committed to barrier operations by stated doctrine, by significant stockpiles of barrier materials, and by war plans which allocate significant portions of deployed forces to executing plans. With reduced force levels and inflationary budgets, high level decision makers must decide where to accept force reductions and how to adjust mission requirements. To be competitive in that environment the barrier mission must be assessed on the basis of its contribution to the force mission. This thesis attempts to prove the feasibility of a technique for studying the barrier problem. The conclusion that the particular technique recommended by this thesis is feasible does not appear to be invalidated by the difficulties encountered in structuring the model. Recommendations for a second generation model with a more flexible representation of possible Red strategies and a concentrated effort to develop Blue decisions which accurately reflect the impact of the simulated time period continue to be appropriate.

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Document Details

Document Type
Technical Report
Publication Date
Jun 06, 1975
Accession Number
ADB006761

Entities

People

  • Howard E. Boone

Organizations

  • United States Army Command and General Staff College

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Armored Personnel Carriers
  • Armored Vehicles
  • Attrition
  • Computer Programming
  • Computer Programs
  • Computers
  • Construction
  • Employment
  • Fire Support
  • Force Structure
  • Indirect Fire
  • Materials
  • Operations Research
  • Probability
  • Second World War
  • War Games
  • Warfare

Readers

  • Life Cycle Cost Analysis
  • Military History / Militaries and War Studies
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy