Date of Award
3-2022
Document Type
Thesis
Degree Name
Master of Science
Department
Department of Operational Sciences
First Advisor
Frank W. Ciarallo, PhD
Abstract
This study examines the Air Force Medical Service War Reserve Materiel supply chain management through the use of the supply chain optimization software anyLogistix. The goal is to illuminate potential improvements to policies that effect inventory management and test the effects of specific inputs, such as an influx of network support and capacity expansion, into the models. Network optimization shows the cost benefit analysis of these factors and if demand is satisfied through all demand points. Through three unique wartime scenarios, this study looks at the supply chain management of five prehospital analgesic medications: ketamine, morphine, fentanyl intravenous, fentanyl oral and hydromorphone.
AFIT Designator
AFIT-ENS-MS-22-M-133
DTIC Accession Number
AD1172341
Recommended Citation
Graves, Christian, "Emergency Logistics Stochastic Network Optimization with Prepositioning and Distribution Center Support" (2022). Theses and Dissertations. 5374.
https://scholar.afit.edu/etd/5374