Date of Award
3-2021
Document Type
Thesis
Degree Name
Master of Science in Operations Research
Department
Department of Operational Sciences
First Advisor
Matthew J. Robbins, PhD
Abstract
Military sustainment planners must consider the effective employment of Cargo Unmanned Aerial Vehicles (CUAVs) into resupply operations under austere threat conditions. Viewed as an inventory routing problem, the complexities of resupplying dislocated Forward Operating Bases (FOBs) under dangerous and dynamic conditions warrant additional features to the baseline problem. This research models a military stochastic inventory routing problem with multiple routing (MIL SIRP- MR) as a Markov decision process (MDP) model and provides high-quality policy solutions using a combination of approximate dynamic programming and ordinal optimization techniques.
AFIT Designator
AFIT-ENS-MS-21-M-184
DTIC Accession Number
AD1180369
Recommended Citation
Song, Camero K., "Resupply Operations of a Dispersed Infantry Brigade Combat Team using Approximate Dynamic Programming" (2021). Theses and Dissertations. 6895.
https://scholar.afit.edu/etd/6895