Date of Award
Master of Science in Logistics and Supply Chain Management
Department of Operational Sciences
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.
DTIC Accession Number
Wallace, David W. III, "Resilient Maintenance Infrastructure: Dynamic Repair Network Designs to Effectively Manage Supply Chain Disruptions" (2021). Theses and Dissertations. 5052.