2026-09-20T11:34:19Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/921342022-01-13T07:54:46Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Eric S. Rebentisch and Mark W. Thomas.
Lee, Ungtae (Jeremy Ungtae)
System Design and Management Program.
System Design and Management Program.
Massachusetts Institute of Technology. Department of Mechanical Engineering
Massachusetts Institute of Technology. Engineering Systems Division
2014-12-08T18:51:15Z
2014-12-08T18:51:15Z
2014
2014
http://hdl.handle.net/1721.1/92134
896144359
Thesis: S.M. in Naval Architecture and Marine Engineering, Massachusetts Institute of Technology, Department of Mechanical Engineering, 2014.
Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2014.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 68-70).
In light of recent military budget cuts, there has been a recent focus on determining methods to reduce the cost of Navy ships. A RAND National Defense Research Institute study showed many sources of cost escalation for Navy ships. Among them included characteristic complexity of modem Naval ships, which contributed to half of customer driven factors. This paper focuses on improving the current parametric cost estimating method used as referenced in NAVSEA's Cost Estimating Handbook. Currently, weight is used as the most common variable for determining cost in the parametric method because it's a consistent physical property and most readily available. Optimizing ship design based on weight may increase density and complexity because ship size is minimized. This paper will introduce electric power density and outfit density as additional variables to the parametric cost estimating equation and will show how this can improve the early stage cost estimating relationships of Navy ships.
by Ungtae Lee.
S.M. in Naval Architecture and Marine Engineering
S.M. in Engineering and Management
96 pages
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Mechanical Engineering.
Engineering Systems Division.
System Design and Management Program.
Improving the parametric method of cost estimating relationships of naval ships
Thesis
application/pdf
false
Publication
unknown
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<Abstract>In light of recent military budget cuts, there has been a recent focus on determining methods to reduce the cost of Navy ships. A RAND National Defense Research Institute study showed many sources of cost escalation for Navy ships. Among them included characteristic complexity of modem Naval ships, which contributed to half of customer driven factors. This paper focuses on improving the current parametric cost estimating method used as referenced in NAVSEA's Cost Estimating Handbook. Currently, weight is used as the most common variable for determining cost in the parametric method because it's a consistent physical property and most readily available. Optimizing ship design based on weight may increase density and complexity because ship size is minimized. This paper will introduce electric power density and outfit density as additional variables to the parametric cost estimating equation and will show how this can improve the early stage cost estimating relationships of Navy ships.</Abstract>
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