Advancing the Application of Design of Experiments (DOE) to Synthetic Theater Operations Research Model (STORM) Data
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Authors
Sanchez, Susan M.
Lucas, Thomas W.
Upton, Stephen C.
McDonald, Mary L.
Hernandez, Alejandro S.
Morgan, Brian L.
Barreto, Jane F.
Subjects
Design of Experiments
Simulation
Modeling
STORM
Campaign Analysis
Data Science
Simulation
Modeling
STORM
Campaign Analysis
Data Science
Advisors
Date of Issue
2022
Date
2022
Publisher
Monterey, California: Naval Postgraduate School
Language
Abstract
The Navy uses simulation-based campaign analysis to help measure risk for investment options for how best to equip, organize, supply, maintain, train, and employ our naval forces. The Synthetic Theater Operations Research Model (STORM) is a stochastic simulation model used to support campaign analysis by the U.S. Navy, Marine Corps, and Air Force. Building, testing, running, and analyzing campaign scenarios in STORM can be a complex, time-consuming process. The goal of this research is to apply Design Of Experiment (DOE) methods in the selection and creation of Design Points (DPs) to minimize the number of modeling runs required for meaningful comparisons. Another objective is to understand how best DOE methods can complement traditional baseline and excursion modeling. In addition to regular reviews, the research deliverables will include: (1) a final brief and/or technical report, in addition to student theses (if applicable); (2) all findings, methods, and data used in the study; and (3) appropriate conference or journal papers related to this research.
Type
Report
Description
NPS NRP Project Poster
Series/Report No
Department
Operations Research (OR)
Organization
Identifiers
NPS Report Number
Sponsors
N8 - Integration of Capabilities & Resources
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.