Leverage Optimization Artificial Intelligence (AI) to Optimize Global Material Distribution
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Authors
Zhao, Ying
Subjects
combat logistics force
CLF
replenishments-at-sea
RAS
push logistics
prediction
uncertainty
CLF
replenishments-at-sea
RAS
push logistics
prediction
uncertainty
Advisors
Date of Issue
2019-12
Date
2019
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
Leverage Optimization Artificial Intelligence (AI) to Optimize Global Material Distribution
Type
Report
Description
NPS NRP Executive Summary
Series/Report No
Department
Information Science (IS)
Organization
Identifiers
NPS Report Number
Sponsors
N4 - Fleet Readiness & Logistics
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.