Date of Award

3-1998

Document Type

Thesis

Degree Name

Master of Science

Department

Department of Operational Sciences

First Advisor

Jack M. Kloeber, PhD

Abstract

The National Air Intelligence Center (NAIC), like many Department of Defense (DoD) and civilian organizations, has been forced to undergo budget and manpower reductions. This year's resource allocation decision requires NAIC to identify both contracts and personnel to be cut. In order to reduce the amount of time and subjectivity involved in this important decision, a resource allocation model was developed to compare different alternatives. This model uses decision analysis with value-focused thinking to quantify the resultant impact of the chosen cuts. The impact was quantified based upon the NAIC Commander's values and preferences, which were used to build a value hierarchy. Each of the 60 contracts, as well as the 5, 10, 15 and 20 percent manpower cuts for the 18 organizations within NAIC, were evaluated against 49 attributes, which represented the Commander's values. Using multi attribute utility theory, the subjective scores were multiplied by the commander's preference to arrive at an overall utility score. In addition to identifying the absolute best alternative, a rank ordering based upon the impact/cost ratio was supplied to the NAIC Commander. By including sensitivity analysis on the commander's preferences, NAIC could better understand their resource allocation problem and make a more informed decision.

AFIT Designator

AFIT-GOR-ENS-98M-04

DTIC Accession Number

ADA342126

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