Date of Award

3-11-2011

Document Type

Thesis

Degree Name

Master of Science

Department

Department of Operational Sciences

First Advisor

James T. Moore, PhD.

Abstract

This research uses asset allocation concepts to determine the correct amount of cargo to send down the PAKGLOC and NDN to minimize the risk of loss or damage. Loss and Damage data is used from Transportation Discrepancy Reports and overall value is assumed to match the industry standard. Using assumed levels of pilferage along the NDN, a Monte Carlo simulation is run at each level of pilferage, and a Co-Lower Partial Moment model is solved. Analysis of the data shows a wide spread of possible optimal solutions at each level of pilferage. Due to the low levels of risk along each route, risk is not an appropriate factor to use alone to determine the best shipping mix into Afghanistan.

AFIT Designator

AFIT-OR-MS-ENS-11-18

DTIC Accession Number

ADA540102

Download

Included in

Risk Analysis Commons

Share

COinS