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Complex Acquisition Requirements Ana...

Stuckey, Richard M.

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Complex Acquisition Requirements Analysis Using a Systems Engineering Approach.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Complex Acquisition Requirements Analysis Using a Systems Engineering Approach./
作者:	Stuckey, Richard M.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:	180 p.
附註:	Source: Dissertation Abstracts International, Volume: 78-05(E), Section: B.
Contained By:	Dissertation Abstracts International78-05B(E).
標題:	Engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10252683
ISBN:	9781369469790

Complex Acquisition Requirements Analysis Using a Systems Engineering Approach.
Stuckey, Richard M.

Complex Acquisition Requirements Analysis Using a Systems Engineering Approach. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 180 p.

Source: Dissertation Abstracts International, Volume: 78-05(E), Section: B.

Thesis (Ph.D.)--The George Washington University, 2017.

This item is not available from ProQuest Dissertations & Theses.

Over the last several decades the technology revolution has compounded system complexity with the integration of multi-spectral sensors and interactive command and control systems. These complexities create additional challenges for requirement developers to produce an encompassing set of requirements. As a result, beginning programs with effective requirements has become imperative. Research indicates there is a gap in requirement attributes (e.g. holistic, adaptable, achievable, or verifiable) for a family of systems and complex systems, and the acquisition community lacks consistent knowledge as to which attributes would best enable more informed trade-offs.

ISBN: 9781369469790Subjects--Topical Terms:

586835
Engineering.

Complex Acquisition Requirements Analysis Using a Systems Engineering Approach.
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500 $a Source: Dissertation Abstracts International, Volume: 78-05(E), Section: B.
500 $a Advisers: Shahram Sarkani; Thomas A. Mazzuchi.
502 $a Thesis (Ph.D.)--The George Washington University, 2017.
506 $a This item is not available from ProQuest Dissertations & Theses.
520 $a Over the last several decades the technology revolution has compounded system complexity with the integration of multi-spectral sensors and interactive command and control systems. These complexities create additional challenges for requirement developers to produce an encompassing set of requirements. As a result, beginning programs with effective requirements has become imperative. Research indicates there is a gap in requirement attributes (e.g. holistic, adaptable, achievable, or verifiable) for a family of systems and complex systems, and the acquisition community lacks consistent knowledge as to which attributes would best enable more informed trade-offs.
520 $a This research provides prioritized key requirement attributes to account for integration, globalization, and revolutionary technology complexities using expert judgment of a diverse panel of acquisition professionals from the Air Force, Army, and Navy, as well as industry and additional government organizations. This research evaluates requirement attributes and provides a select group of attributes tailored specifically for simple systems, family of systems, and complex systems. Comprised of industrial, academic, and governmental personnel, each with over 25 years of experience in acquisition, systems engineering, development, logistics, and operations, this panel uses its expert judgment by employing a Bradley-Terry pairwise comparison. This expert judgment methodology allows the panel to rank the selected requirement attributes by their relative importance in systems, family of systems, and complex systems requirement development. Utilizing surveyed data from experts verifies the Bradley-Terry model and provides rankings of requirement attributes for the acquisition community to consider. Sensitivity analysis further verifies the robustness of the Bradley-Terry model analysis and approach.
520 $a Data for systems, family of systems, and complex systems, using a 5% null and a 90% confidence interval, show tiered grouping of data. For systems the top tier of attributes is correct, achievable, and verifiable. For family of systems the top tier of attributes is achievable and correct. For complex systems the top tier of attributes is technical, holistic, interdependent, and adaptable. This paper provides a guide for today's acquisition leaders to establish effective requirements using validated requirement attributes for family of systems and complex systems needed for informed cost, schedule, and performance trade-off decisions.
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