Date of Award
3-10-2010
Document Type
Thesis
Degree Name
Master of Science in Logistics and Supply Chain Management
Department
Department of Operational Sciences
First Advisor
Alan W. Johnson, PhD
Abstract
One of the biggest challenges for Brazilian military logisticians is to support effective jungle warfare for both real and training operations carried out by their combat forces in the Amazonian region. The jungle's heat, humidity, and dense vegetation put significant demands on the supply chain. Further, because of the difficulties of land or air transportation, water transport is the most reasonable transportation option to sustain these deployed forces. Planners must select from among the available watercourses those whose surroundings provide stealthy navigation to the combat force location where the requested supplies can be safely unloaded. We seek a method of determining a path through a river network that blends short transit times with maximal shade coverage from forest growth along the riverbanks. We combine an astronomical algorithm for computing shadow coverage with Dijkstra's shortest path algorithm to determine the start time and routing information necessary for a supply boat to travel from a depot to a resupply point that minimizes weighted risk, which is defined as the product of shade coverage and arc transit time.
AFIT Designator
AFIT-LSCM-ENS-10-02
DTIC Accession Number
ADA516981
Recommended Citation
Cardoso, Fabio Ayres, "Stealthy River Navigation in Jungle Combat Conditions" (2010). Theses and Dissertations. 2082.
https://scholar.afit.edu/etd/2082