Massachusetts Institute of Technology
Improving the parametric method of cost estimating relationships of naval ships
Abstract
dc:description.abstractIn 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.
Degree
thesis:*- Department dc:contributor.department
- Massachusetts Institute of Technology. Department of Mechanical Engineering.
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2014
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Lee, Ungtae (Jeremy Ungtae)
- Advisor dc:contributor.advisor
-
- Eric S. Rebentisch and Mark W. Thomas.
Subjects
dc:subject × 3Rights
dc:rights- Statement dc:rights
-
- 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.
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/1721.1/92134
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/92134