Date of Award


Document Type


Degree Name

Master of Science in Logistics and Supply Chain Management


Department of Operational Sciences

First Advisor

Aaron V. Glassburner, PhD


Supply chains are facing numerous changes contributing to their increase in complexity and vulnerability to disruptions. Subsequently, decision-makers lack a transparent, generalizable tool to quantify supply chain resilience and assess additional resilience investments. This research facilitates a more profound understanding of the intricacies and interrelation of supply chain nodes and constructs. It integrates the Area under the Curve (AUC) metric to quantify performance or any organizational measure of competitive advantage amid a disruption. Due to its structural resemblance to various organizational platforms, the subset United States Air Force (USAF) F-16 engine repair and supply network is modeled employing discrete-event simulation. The purpose of this study is to evaluate investments in inventory and capacity resilience levers to understand how mitigation strategies affect supply chain entity performance. Results indicate that simultaneous investments in these levers yield the most significant effects on resilience. The presented analysis asserts recovery capacity and response time as the most significant recovery influencers following a disruption. Additionally, two design scenarios are further examined to understand how flexibility influences resilience.

AFIT Designator


DTIC Accession Number