Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorJohnathan Mun
dc.contributor.authorTom Housel
dc.identifier.citationPublished--Unlimited Distribution
dc.descriptionAcquisition Management / NPS Faculty Research
dc.description.abstractThis proposed research has the explicit goal of proposing a reusable, extensible, adaptable, and comprehensive advanced analytical modeling process to help the U.S. Navy in quantifying, modeling, valuing, and optimizing a set of ship design options to create a business case for making strategic decisions under uncertainty. Specifically, we will look at a portfolio of options onboard multiple ships across different classes, both at the PEO-SHIPS and extensible to the Navy Fleet. This portfolio of options approach will provide tools to allow decision makers to decide on the optimal flexible options to implement and allocate in different types of ships subject to budget constraints across multiple types of ships. The office of Chief of Naval Operations (CNO) is also interested in applying portfolio optimization to choose among various programs across the various departments and divisions in the Navy, and the applications within the CNO community will be addressed further in a follow-on research article.
dc.description.sponsorshipAcquisition Research Program
dc.languageEnglish (United States)
dc.publisherAcquisition Research Program
dc.relation.ispartofseriesShip Design
dc.subjectFlexible Ship Options
dc.subjectShips Design
dc.subjectPEO SHIPS
dc.titlePortfolio Optimization of Flexible Ship Options
dc.typeTechnical Report
Appears in Collections:Sponsored Acquisition Research & Technical Reports

Files in This Item:
File SizeFormat 
NPS-AM-18-010.pdf1.9 MBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.