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At present the US Army Strategic Defense Command (USASDC relies on subjective judgments from key management personnel to make project funding decisions. In this thesis the Analytic Hierarchy Process (AHP) is used to convert subjective pairwise comparisons of thirty-five major USASDC projects, based on eleven key factors, into ratio-scaled numerical weights. THe AHP coefficients are then used in a linear Goal Program in order to optimize the funding level of each project in Fiscal Year 1988 at several different USASDC total budget levels. An optimal priority list of projects is also determined. The model results are compared with the proposed funding levels and the impact of changes of the model parameters is conducted. This analysis of the model results and model sensitivity stimulates six funding recommendations for USASDC decision makers. Keywords: Theses; Operations research; Strategic Defense Initiative; Computer programs
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A goal Programming R&D project funding model of the US Army Strategic Defense Command using the analytic hierarchy process
1987, Naval Postgraduate School
electronic resource
in English
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Book Details
Edition Notes
Thesis Advisor(s): Boger, Dan C.
Second Reader: Andrus, Alvin F.
"September 1987."
Description based on title screen as viewed on April 23, 2010.
DTIC Descriptor(s): Army Budgets, Decision Making, Goal Programming, Antimissile Defense Systems, Army Operations, Coefficients, Computer Programs, Hierarchies, Linearity, Management, Military Strategy, Mathematical Models, Operations Research, Personnel, Sensitivity, Theses, Army Research.
DTIC Identifier(s): Army strategic defense command, Analytic hierarchy process.
Author(s) subject terms: Goal Programming " Analytic Hierarchy Process, R&D Project Funding Models.
Thesis (M.S. in Operations Research)--Naval Postgraduate School, September 1987.
Includes bibliographical references (p. 165-167).
"Approved for public release, distribution unlimited"--Cover.
Also available in print.
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
US Army (USA) author.
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