Kelly M. Sullivan

TL;DR: This work presents a multi-objective network design model and accompanying optimization-based decision support methodology for supply chain architects and demonstrates the model's efficacy through the lens of a practically-motivated corporate merger and acquisition activity.

TL;DR: A model that is tighter and uses fewer constraints than that of Morton et al. is introduced, and a class of valid inequalities along with a corresponding separation procedure that can be used within a cutting‐plane approach to reduce computational effort is developed.

TL;DR: Two approaches to solving E‐MFNIP are contributed based on solving a sequence of lower‐bounding integer programs from which upper bounds can be readily obtained, and it is shown that these bounds are convergent.

TL;DR: Two-stage risk-averse and risk-neutral stochastic optimization models are proposed to schedule repair activities for a disrupted CI network with the objective of maximizing system resilience and assessing the risks associated with post-disruption scheduling plans.

TL;DR: A heuristic is developed to solve the problem of budgeting and selecting inland maintenance dredging projects to maximize the value of commodities that can be transported without disruption through the inland waterway system and this model yields improved solutions as compared to related deterministic optimization models in the literature.