Title page for ETD etd-03122009-041319

Type of Document Master's Thesis
Author Kean, Van Alexander
URN etd-03122009-041319
Title The Petroleum Disruption Response System
Degree Master of Science
Department Systems Engineering
Advisory Committee
Advisor Name Title
Ghare, Prabhakar M. Committee Chair
Reid, Thomas F. Committee Member
Triantis, Konstantinos P. Committee Member
  • Scarcity
Date of Defense 1991-08-05
Availability restricted
The petroleum disruptions experienced in 1973 and 1979 demonstrated to the Department of Defense (DoD) that, for numerous reasons, the normal support for DoD requirements could rapidly deteriorate. Crude oil shortages caused DoD's historical supplier to prorate or completely cease deliveries under existing contracts, and it became difficult for the Defense Fuel Supply Center (DFSC) to secure replacement or follow-on contracts for fuels. In order to sustain necessary peacetime activities, the services were forced to dip into the war reserves. The effect was a decrease in the wartime sustainability of our forces until the war reserves were reconstituted.

As a result of DoD "Supply Assurance" initiatives prompted by the 1979 disruption, numerous policy options have been developed to help the Office of the Secretary of Defense (OSD) more effectively deal with future shortage situations. The key to avoiding the problems of 1973 and 1979 is early identification of shortage situations and selection of appropriate policy options designed to ensure a steady supply of military fuels during energy emergencies.

The Petroleum Disruption Response System (PDRS) is a decision support system designed to assist DFSC energy analysts and planners in preparing recommendations for the Office of the Assistant Secretary of Defense (OASD) energy policy staff on appropriate policy options to ensure adequate petroleum supplies for the national defense.

This paper contains a conceptual model of PDRS that is based on a network optimization distribution model. The model would optimize the resupply distribution network in terms of minimum cost solution.

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