Considerations for Cross Domain / Mission Resource Allocation and Replanning
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Authors
Johnson, Bonnie W.
Green, John M.
Kendall, Walter Anthony
Miller, Scot A.
MacKinnon, Douglas J.
Godin, Arkady A.
Subjects
Battler Management Aids
BMA
Game Theory
Data Analytics
AI
ML
Resource Allocation
Multi-mission
Multi-domain
BMA
Game Theory
Data Analytics
AI
ML
Resource Allocation
Multi-mission
Multi-domain
Advisors
Date of Issue
2022
Date
2022
Publisher
Monterey, California: Naval Postgraduate School
Language
Abstract
Naval platforms are inherently multi-mission - they execute a variety of missions simultaneously. Ships, submarines, and aircraft support multiple missions across domains, such as integrated air and missile defense, ballistic missile defense, anti-submarine warfare, strike operations, naval fires in support of ground operations, and intelligence, surveillance, and reconnaissance. Scheduling and position of these multi-mission platforms is problematic since one warfare area commander desires one position and schedule, while another may have a completely different approach. Commanders struggle to decide and adjudicate these conflicts, because there is plenty of uncertainty about the enemy and the environment. This project will explore emerging innovative data analytic technologies to optimize naval resource allocation and replanning across mission domains. NPS proposes a study that will evaluate the following three solution concepts for this application: (1) game theory, (2) machine learning, and (3) wargaming. The study will first identify a set of operational scenarios that involve distributed and diverse naval platforms and resources and a threat situation that requires multiple concurrent missions in multiple domains. The NPS team will use these scenarios to evaluate the three solution concepts and their applicability to supporting resource allocation and replanning. This project will provide valuable insights into innovative data analytic solution concepts to tackle the Navy's challenge of conducing multiple missions with cross-domain resources.
Type
Report
Description
NPS NRP Executive Summary
Series/Report No
Department
Systems Engineering (SE)
Organization
Naval Research Program (NRP)
Identifiers
NPS Report Number
Sponsors
N2/N6 - Information Warfare
Funder
This research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrp
Chief of Naval Operations (CNO)
Chief of Naval Operations (CNO)
Format
Citation
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.