An Analytical Framework for Efficiency Evaluation and Determination of the Preferred Main Battle Tank Fleet.

Abstract

The primary objective of this thesis research was to determine the relative unit efficiencies of the expected attrition capability of United States armor forces. A measure of effectiveness defining the unit attrition capability was derived using the Lanchester-type equations of heterogenous combat as a functional basis. Included in the armor effectiveness measure was a parameter describing the unit's discounted time value to the attrition process. The discounted time value of a unit is characterized by exponential decay reflecting the situationally dependent value of the unit to influence the battle engagement. The determination and analysis of the relative unit efficiencies was accomplished using the data envelopment model of Charnes, Cooper, and Rhodes. The non-linear relation characteristic of the efficiency equation reduces to a linear programming problem by the method of linear fractional programming. From this efficient deployment and employment of armor assets can be quantitatively assessed. The results of this thesis research indicate that the analytical methodology contained in this thesis can be used as a method for the comparison of armor procurement, production and employment options. Keywords: Land combat models, Data development analysis. (Theses).

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1986
Accession Number
ADA179419

Entities

People

  • Michael S. Remias

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artillery
  • Attrition
  • Combat Forces
  • Combat Operations
  • Combat Readiness
  • Combat Support
  • Employment
  • Fire Support
  • Instructors
  • Mathematical Models
  • Military Budgets
  • Military Education
  • Military Science
  • Operations Research
  • Procurement
  • United States
  • Warfare

Readers

  • Computational Modeling and Simulation
  • Life Cycle Cost Analysis
  • Military History / Militaries and War Studies