Date of Award
8-2023
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Mathematical Sciences
Committee Chair/Advisor
Dr. Yongjia Song
Committee Member
Dr. Wayne Goddard
Committee Member
Dr. Matthew Saltzman
Abstract
Today's military logistics officers face a difficult challenge, generating route plans for mass deployments within contested environments. The current method of generating route plans is inefficient and does not assess the vulnerability within supply networks and chains. There are few models within the current literature that provide risk-averse solutions for multi-commodity flow models. In this thesis, we discuss two models that have the potential to aid military planners in creating route plans that account for risk and uncertainty. The first model we introduce is a continuous time model with chance constraints. The second model is a two-stage discrete time model with random attack scenarios. Both models demonstrate an ability to yield optimal route plans that are resilient in a contested environment.
Recommended Citation
Strinsky, Isabel, "Multi-Commodity Flow Models for Logistic Operations within a Contested Environment" (2023). All Theses. 4140.
https://tigerprints.clemson.edu/all_theses/4140