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Designing flexible engineering syste...
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Pierce, Jeff G.
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Designing flexible engineering systems utilizing embedded architecture options.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Designing flexible engineering systems utilizing embedded architecture options./
作者:
Pierce, Jeff G.
面頁冊數:
242 p.
附註:
Source: Dissertation Abstracts International, Volume: 72-04, Section: B, page: 2405.
Contained By:
Dissertation Abstracts International72-04B.
標題:
Engineering, Aerospace. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3445637
ISBN:
9781124492728
Designing flexible engineering systems utilizing embedded architecture options.
Pierce, Jeff G.
Designing flexible engineering systems utilizing embedded architecture options.
- 242 p.
Source: Dissertation Abstracts International, Volume: 72-04, Section: B, page: 2405.
Thesis (Ph.D.)--Vanderbilt University, 2010.
This dissertation develops and applies an integrated framework for embedding flexibility in an engineered system architecture. Systems are constantly faced with unpredictability in the operational environment, threats from competing systems, obsolescence of technology, and general uncertainty in future system demands. Current systems engineering and risk management practices have focused almost exclusively on mitigating or preventing the negative consequences of uncertainty. This research recognizes that high uncertainty also presents an opportunity to design systems that can flexibly respond to changing requirements and capture additional value throughout the design life. There does not exist however a formalized approach to designing appropriately flexible systems.
ISBN: 9781124492728Subjects--Topical Terms:
1018395
Engineering, Aerospace.
Designing flexible engineering systems utilizing embedded architecture options.
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This research develops a three stage integrated flexibility framework based on the concept of architecture options embedded in the system design. Stage One defines an eight step systems engineering process to identify candidate architecture options. This process encapsulates the operational uncertainty though scenario development, traces new functional requirements to the affected design variables, and clusters the variables most sensitive to change. The resulting clusters can generate insight into the most promising regions in the architecture to embed flexibility in the form of architecture options. Stage Two develops a quantitative option valuation technique, grounded in real options theory, which is able to value embedded architecture options that exhibit variable expiration behavior. Stage Three proposes a portfolio optimization algorithm, for both discrete and continuous options, to select the optimal subset of architecture options, subject to budget and risk constraints. Finally, the feasibility, extensibility and limitations of the framework are assessed by its application to a reconnaissance satellite system development problem. Detailed technical data, performance models, and cost estimates were compiled for the Tactical Imaging Constellation Architecture Study and leveraged to complete a realistic proof-of-concept.
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