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Using Multi Criteria Decision Analys...
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The George Washington University.
Using Multi Criteria Decision Analysis Decision Support Systems to Conduct Analysis of Alternatives for Department of Defense Acquisition Programs.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Using Multi Criteria Decision Analysis Decision Support Systems to Conduct Analysis of Alternatives for Department of Defense Acquisition Programs./
作者:
Mahalak, David Matthew.
面頁冊數:
1 online resource (91 pages)
附註:
Source: Dissertation Abstracts International, Volume: 79-04(E), Section: B.
Contained By:
Dissertation Abstracts International79-04B(E).
標題:
Engineering. -
電子資源:
click for full text (PQDT)
ISBN:
9780355568127
Using Multi Criteria Decision Analysis Decision Support Systems to Conduct Analysis of Alternatives for Department of Defense Acquisition Programs.
Mahalak, David Matthew.
Using Multi Criteria Decision Analysis Decision Support Systems to Conduct Analysis of Alternatives for Department of Defense Acquisition Programs.
- 1 online resource (91 pages)
Source: Dissertation Abstracts International, Volume: 79-04(E), Section: B.
Thesis (D.Engr.)
Includes bibliographical references
Despite being a mandated requirement, the U.S. Government Accountability Office found a lack of guidance across the Department of Defense for conducting analysis of alternatives which contributed to significant cost, schedule, and performance problems for Defense acquisition programs. In 2008 ninety-six major weapon system programs were reviewed and findings showed cost growths of $296 billion, average program delays of twenty-two months, and the delivery of fewer systems with reduced capabilities. Without specific guidance and criteria for how analysis of alternatives should be conducted the Department of Defense will continue to struggle to make informed trade-offs and start executable programs. This praxis presents a decision support system that enables decision makers to analyze cost, schedule, and performance ratings for multi criteria decision analysis problems. The decision support system provides interactive visualization tools that allow decision makers to execute sensitivity and uncertainty analyses, analyze the decision problem from multiple stakeholder-specific viewpoints, and synthesize results in a meaningful way. Although the primary motivation of this praxis is to fill the gap identified by the U.S. Government Accountability Office, the decision support system presented in this praxis can be modified and applied across multiple domains.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9780355568127Subjects--Topical Terms:
561152
Engineering.
Index Terms--Genre/Form:
554714
Electronic books.
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Despite being a mandated requirement, the U.S. Government Accountability Office found a lack of guidance across the Department of Defense for conducting analysis of alternatives which contributed to significant cost, schedule, and performance problems for Defense acquisition programs. In 2008 ninety-six major weapon system programs were reviewed and findings showed cost growths of $296 billion, average program delays of twenty-two months, and the delivery of fewer systems with reduced capabilities. Without specific guidance and criteria for how analysis of alternatives should be conducted the Department of Defense will continue to struggle to make informed trade-offs and start executable programs. This praxis presents a decision support system that enables decision makers to analyze cost, schedule, and performance ratings for multi criteria decision analysis problems. The decision support system provides interactive visualization tools that allow decision makers to execute sensitivity and uncertainty analyses, analyze the decision problem from multiple stakeholder-specific viewpoints, and synthesize results in a meaningful way. Although the primary motivation of this praxis is to fill the gap identified by the U.S. Government Accountability Office, the decision support system presented in this praxis can be modified and applied across multiple domains.
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