Please use this identifier to cite or link to this item:
https://dair.nps.edu/handle/123456789/2699
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Daniel A. DeLaurentis | |
dc.date.accessioned | 2020-03-16T18:19:24Z | - |
dc.date.available | 2020-03-16T18:19:24Z | - |
dc.date.issued | 2017-06-30 | |
dc.identifier.citation | Published--Unlimited Distribution | |
dc.identifier.uri | https://dair.nps.edu/handle/123456789/2699 | - |
dc.description | Acquisition Management / Grant-funded Research | |
dc.description.abstract | This research seeks to address inefficiencies in the development and acquisition of complex systems by quantitatively modeling the interplay between aspects of an acquisition organization leadership and complex system architecture. It combines techniques from operations research and psychological sciences, infused with survey data on program manager competencies, to produce a prototype computational model. The model targets ways to improve alignment between organizational performance measures and incentives to accurately reflect the modularization architecture of the systems to be acquired. It represents a pilot quantitative decision-support framework that, if developed further, could assist acquisition practitioners in determining an optimal modular complex system architecture and organizational structure to support the successful system development. | |
dc.description.sponsorship | Acquisition Research Program | |
dc.language | English (United States) | |
dc.publisher | Acquisition Research Program | |
dc.relation.ispartofseries | Complex Systems Governance | |
dc.relation.ispartofseries | PUR-AM-17-207 | |
dc.subject | Optimal Selection | |
dc.subject | Organizational Structuring | |
dc.subject | Complex Systems | |
dc.subject | Product Designs | |
dc.title | Optimal Selection of Organizational Structuring for Complex System Development and Acquisitions | |
dc.type | Technical Report | |
Appears in Collections: | Sponsored Acquisition Research & Technical Reports |
Files in This Item:
File | Size | Format | |
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PUR-AM-17-207.pdf | 1.44 MB | Adobe PDF | View/Open |
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