Emergency Logistics Stochastic Network Optimization with Prepositioning and Distribution Center Support
Date of Award
Master of Science
Department of Operational Sciences
Frank W. Ciarallo, PhD
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.
DTIC Accession Number
Graves, Christian, "Emergency Logistics Stochastic Network Optimization with Prepositioning and Distribution Center Support" (2022). Theses and Dissertations. 5374.