INTEGRATING DIGITAL TWIN CONCEPTS TO ENHANCE AGILITY OF THE UNITED STATES MARINE CORPS’ DECISION SUPPORT FRAMEWORK
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Authors
Metcalf, Jonathan G.
Laffey, Joseph A.
Subjects
model-based systems engineering
MBSE
artificial intelligence
machine learning
AI/ML
internet of things
IOT
big data
digital twin
DT
wargaming
decision support
MBSE
artificial intelligence
machine learning
AI/ML
internet of things
IOT
big data
digital twin
DT
wargaming
decision support
Advisors
Canan, Anthony M.
Date of Issue
2023-06
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
Digital twin (DT) application and related technology has the potential to enhance the accuracy of wargame simulations in order to provide risk-informed decision support recommendations. A DT of the operating environment could theoretically be developed to continuously gather data from the operating forces and create computational models or simulations to test battlespace conditions. Effective implementation of DT can provide commanders with timely updates and adjustments to recommendations, aiding the decision-making process. Real-time updates would then inform commanders if the previously recommended course of action is no longer considered optimal based on the continuously running simulations. This thesis performs a qualitative assessment on the integration of a DT-enabled decision support system into the Marine Corps planning process and as an effective tool for leadership at various levels of command. The researchers determined that the wargaming process can be enhanced by incorporating real-time data into simulated future conflict to facilitate the inclusion of data analysis into time-sensitive decisions and potentially improve the management of uncertainty in the decision-making process. Leaders would benefit from increased awareness and quantitative assistance with resource allocation decisions. Expected challenges will be the digitization process of the operating force as well as acculturating leaders to the new technology.
Type
Thesis
Description
Series/Report No
Department
Information Sciences (IS)
Information Sciences (IS)
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Distribution Statement
Approved for public release. Distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.