Application of Model-Based Systems Engineering (MBSE) to compare legacy and future forces in Mine Warfare (MIW) missions
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Authors
Frank, David
Hogan, Kevin
Schonhoff, Shane
Becker, Nicole
Byram, Timothy
Kim, Richard
Miller, Glenna
Myers, Scott
Whitehouse, Heather
Subjects
model based systems engineering
design of experiments
requirements analysis
mine warfare
MIW
mine countermeasures
MCM
littoral combat ship
LCS
Avenger
MCM 1
MCM-1
ACRS
area coverage rate sustained
remote minehunting system
RMS
minehunting
design of experiments
requirements analysis
mine warfare
MIW
mine countermeasures
MCM
littoral combat ship
LCS
Avenger
MCM 1
MCM-1
ACRS
area coverage rate sustained
remote minehunting system
RMS
minehunting
Advisors
Paulo, Eugene
Kwinn, Brigitte
Beery, Paul
Madachy, Raymond
Date of Issue
2014-12
Date
Dec-14
Publisher
Monterey, California: Naval Postgraduate School
Language
Abstract
This capstone report describes the expected mine countermeasures (MCM) performance of the Avenger class MCM ship (MCM 1), landing helicopter deck (LHD) support ship, and MH-53E helicopter legacy systems and Increment 1 of the littoral combat ship (LCS) and MH-60S helicopter future systems. The study focused on two measures of effec-tiveness (MOEs): area coverage rate sustained (ACRS) and percent clearance of mines. The systems engineering (SE) approach used to address stakeholder needs identified foundational requirements and developed functional and physi-cal architectures for simulation in conducting the comparative technical analysis. A design of experiments (DOE) methodology was used to determine which factors have the greatest influence on the MOEs. The significant factors’ values were varied to develop a set of recommended improvements to the future MCM systems. The study found that maintaining a constant search speed of 10 knots, improving the stream and recover time to 15 minutes, and improving the sortie time to 24 hours for the remote minehunting system (RMS) would provide a future ACRS performance greater than that provided by the legacy systems. When factoring in risk and operating and sustainment (O&S) costs, the future capability and recommended improvements provide better performance per cost than the legacy capability.
Type
Thesis
Description
Series/Report No
Department
Systems Engineering (SE)
Organization
Identifiers
NPS Report Number
Sponsors
Funder
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.