Date of Award
Doctor of Philosophy (PhD)
Department of Systems Engineering and Management
David R. Jacques, PhD
Interdependent infrastructure recovery modeling and simulation are complicated due to various interdependent connections and complexities. Current efforts have identified both operational and restoration interdependency subtypes and coupling strategies that have not been integrated into one comprehensive model. This research presents a model which simultaneously integrates nine interdependency subtypes and four coupling strategies in a multi-objective format to provide the most tailorable and comprehensive network-based recovery model available. This research also created a defense-centric interdependent infrastructure database by modifying the existing CLARC database. This research then addressed assumptions regarding recovery work management in order to address the impact of work crew structure and training’s impact on cost, recovery time, and system operability. These efforts were accomplished by creating mixed-integer programs and then testing them with the defense-centric infrastructure database with a simulated flood event. The results of the scenario showed that exclusion of certain interdependencies could cost over $4M additional for marginal improvement in infrastructure operability based on the simulated event. Additionally, it was shown that using interdependent relationships can be used to overcome inaccessible infrastructure data. Finally, the results showed that team composition can influence recovery cost, time, and operability both negatively and positively. These models benefit emergency managers and infrastructure owners alike.
DTIC Accession Number
Moore, Brigham A., "Interdependent Infrastructure Recovery Using Multilayered Networks and Optimization" (2021). Theses and Dissertations. 5088.