Please use this identifier to cite or link to this item:
https://dair.nps.edu/handle/123456789/1161
Title: | Acquisition Management for System-of-Systems: Requirement Evolution and Acquisition Strategy Planning |
Authors: | Seung Yeob Han Zhemei Fang Daniel DeLaurentis |
Keywords: | Interdependency System of Systems Requirement Evolution Risk |
Issue Date: | 30-Apr-2012 |
Publisher: | Acquisition Research Program |
Citation: | Published--Unlimited Distribution |
Series/Report no.: | System-of-Systems SYM-AM-12-058 |
Abstract: | The complex interdependencies between systems organized for a system-of-systems (SoS) capability pose a challenge to effective acquisition management of SoS assets. In general, methodologies to assess risk that cascades through interdependencies are critical to effectively analyzing alternatives in a capability-based acquisition strategy. A particular problem occurs in cases where requirements on systems are evolving. In this paper, a Bayesian Network (BN) method is presented, which models requirement evolution in the midst of system interdependencies. The method analyzes the cascading effects of requirement and systems interdependencies on risk. A primary output of the approach is the identification of both critical systems and requirements. A synthetic problem is solved to demonstrate the proposed method. |
Description: | Acquisition Management / Defense Acquisition Community Contributor |
URI: | https://dair.nps.edu/handle/123456789/1161 |
Appears in Collections: | Annual Acquisition Research Symposium Proceedings & Presentations |
Files in This Item:
File | Size | Format | |
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SYM-AM-12-058.pdf | 405.98 kB | Adobe PDF | View/Open |
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