Date of Award

3-2004

Document Type

Thesis

Degree Name

Master of Science

Department

Department of Operational Sciences

First Advisor

John O. Miller, PhD

Abstract

With Department of Defense (DoD) weapon systems being deeply rooted in the command, control, communications, computers, intelligence, surveillance, and reconnaissance (C4ISR) structure, it is necessary for combat models to capture C4ISR effects in order to properly assess military worth. Unlike many DoD legacy combat models, the agent based model System Effectiveness and Analysis Simulation (SEAS) is identified as having C4ISR analysis capabilities. In lieu of requirements for all new DoD C4ISR weapon systems to be placed within a DoD Architectural Framework (DoDAF), investigation of means to export data from the Framework to the combat model SEAS began. Through operational, system, and technical views, the DoDAF provides a consistent format for new weapon systems to be compared and evaluated. Little research has been conducted to show how to create an executable model of an actual DoD weapon system described by the DoDAF. In collaboration with Systems Engineering masters student Captain Andrew Zinn, this research identified the Aerospace Operation Center (AOC) weapon system architecture, provided by the MITRE Corp., as suitable for translation into SEAS. The collaborative efforts lead to the identification and translation of architectural data products to represent the Time Critical Targeting (TCT) activities of the AOC. A comparison of the AOC weapon system employing these TCT activities with an AOC without TCT capabilities is accomplished within a Kosovo-like engagement (provided by Space and Missile Center Transformations Directorate). Results show statistically significant differences in measures of effectiveness (MOEs) chosen to compare the systems. The comparison also identified the importance of data products not available in this incomplete architecture and makes recommendations for SEAS to be more receptive to DoDAF data products.

AFIT Designator

AFIT-GOR-ENS-04-05

DTIC Accession Number

ADA422991

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