Business Intelligence for Expeditionary Advanced Base Operations (EABO) Shaping Flexible C2 Organizational Structure
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Authors
Zhao, Ying
Subjects
business intelligence
expeditionary advanced base operations
EABO
collaborative learning agents
CLA
peer-to-peer systems
load balancing
lexical link analysis
LLA
quantum intelligence game
counter-detection
distributed operations
transport
expeditionary advanced base operations
EABO
collaborative learning agents
CLA
peer-to-peer systems
load balancing
lexical link analysis
LLA
quantum intelligence game
counter-detection
distributed operations
transport
Advisors
Date of Issue
2021
Date
2021
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
Distributed Marine Operations (DMO) or EABO initiatives require integration the USMC EABO organization into the Navy C2 hierarchy, but there is no consensus on the best EABO CONOPS organizational structure. The magnitude of organizational combinations between organizational elements from Joint Services/Agencies (Navy/USMC, Army, Undersea, Air Force, Space, Cyber, MDA, etc.) is huge. Hard-coded C2 point-to-point organizational structures as inflexible and non-extensible. The objective of this is to identify a flexible Command & Control tool with a model that is capable of flexibly representing a variety of different Joint Force organizations. We propose to apply business intelligence(BI) including such as Tableau, Microsoft power BI, data mining tools such as Orange, network analysis tool such as lexical link analysis (LLA) to address the research questions: Is information on ‘organization’ hierarchy with level details is available from authoritative USMC and Navy sources? What are these sources? How to prevent some critical organizations in the Navy and/or USMC, from being forgotten and excluded from the EABO vision? Will the proposed model be manageable to extend beyond the DoD to Intel and Coalition Partners? We planned three tasks. We will build a network of organizations from the existing tactical units of USMC and Navy C2 related to the operations of DMO or EABO. Each node in the network is an organization, containing the data attributes and content describing the organization’s unit structures, skills, capability, equipment, geolocations, missions performed before, and lessons learned etc. The link between two nodes represents the similarity and dissimilarity in terms of shared skills, capabilities, distance of locations, and past collaborations/interactions. We will use the unit profiles to show how to match the future EBO and DMO operation concepts and requirements, discover gaps that might show the insights for reorganizing and shaping flexible C2 structures. We will apply the proposed tools to build multidimensional cubes, predictive models, and what if analysis. The deliverables include a report a demonstration, and a paper to publish approved by a sponsor.
Type
Report
Description
NPS NRP Executive Summary
Series/Report No
Department
Information Sciences
Organization
Identifiers
NPS Report Number
Sponsors
N2/N6 - Information Warfare
Funding
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.