Theory and Feasibility of Implementing Economic Input/Output Analysis of the Department of Defense to Support Acquisition Decision Analysis and Cost Estimation

Abstract

In this project, Economic Input/Output analysis was used as the inspiration for a new approach to accounting for the supply-chain burden in estimating the fully burdened cost of fuel in the U.S. Department of Defense. A general model for the fully burdened cost of fuel was developed to demonstrate the multiplier effect by which the total amount of fuel required to supply a single gallon to the warfighter is greater than one gallon, due to fuel consumption in the supply chain. Using data on costs for the Defense Logistics Agency-Energy's bulk fuels supply chain, a spreadsheet model was constructed and used to estimate the delivery costs for fuel to all consumption points in that supply chain. They ranged from less than a penny to over 70 cents per gallon. Using information provided on the U.S. Marine Corps' supply chain in Afghanistan, a model for fuel consumption at each location and in both transportation and force protection was constructed to estimate the fuel multipliers for each location. Several excursions from the baseline scenario illustrated the effect of potential changes in the supply chain. This work demonstrates the applicability of an Input/Output-based approach to estimating the supply-chain burden of fuel and other supplies in the Department of Defense, and highlights data challenges in populating such a model.

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Document Details

Document Type
Technical Report
Publication Date
Nov 28, 2011
Accession Number
ADA559231

Entities

People

  • Daniel A. Nussbaum
  • Eva Regnier

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Acquisition
  • Business Administration
  • Climate Change Adaptation
  • Contracts
  • Department Of Defense
  • Force Protection
  • Fuel Consumption
  • Government Procurement
  • Governments
  • Information Science
  • Logistics
  • Management Personnel
  • National Security
  • Operations Research
  • Organizational Structure
  • Supply Chain
  • Transportation

Readers

  • Computational Modeling and Simulation
  • Logistics and Supply Chain Management.
  • Petroleum Engineering

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy