Please use this identifier to cite or link to this item:
https://dair.nps.edu/handle/123456789/2569
Title: | Acquisition Management for System of Systems: Requirement Evolution and Acquisition Strategy Planning |
Authors: | Daniel DeLaurentis |
Keywords: | System of Systems Computational Exploratory Model (CEM) Agent-Based Model (ABM) Managing Systems |
Issue Date: | 11-Apr-2013 |
Publisher: | Acquisition Research Program |
Citation: | Published--Unlimited Distribution |
Series/Report no.: | System-of-Systems PUR-AM-13-021 |
Abstract: | Our research is focused upon new methods to support decision-making on acquisitions in a system of systems (SoS). We have improved upon prior work by introducing both an extension to the previously developed Computational Exploratory Model (CEM) and a decision-analysis framework that addresses issues of identifying optimal collections of interconnected systems. An Agent-Based Model (ABM) approach extends prior CEM capabilities by enabling the development of a simulation to model interdependencies between constituent systems in a SoS. A robust investment portfolio framework complements the approach by providing a means to objectively balance expected performance, cost, and risks in identifying optimal collections of systems that constitute a SoS. |
Description: | Acquisition Management / Grant-funded Research |
URI: | https://dair.nps.edu/handle/123456789/2569 |
Appears in Collections: | Sponsored Acquisition Research & Technical Reports |
Files in This Item:
File | Size | Format | |
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PUR-AM-13-021.pdf | 784.05 kB | Adobe PDF | View/Open |
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