National Science Foundation Grant number 1826337 “Collaborative Research: Real-Time Stochastic Matching Models for Freight Electronic Marketplace”
Date of Award
Civil and Environmental Engineering
Uncertainty, Stochastic Problem, Robust Optimization, Facility Location Problem
Facility location problems are a used in widespread application in transportation, freight, supply chain, and logistics problems. Models can be developed as deterministic, where all parameters are known, or robust, where a parameter has uncertainty. This thesis explores a new method for developing robust formulation and compares the implications of assuming values for this uncertain parameter. Two models are solved, and both are compared against their deterministic counterparts using numerical analysis. By manipulating the input parameters and considering real world implications of the solutions, either the robust or deterministic can show better performance.
Kling, Elijah J., "Distributionally Robust Optimization Utilizing Facility Location Problems" (2021). Civil and Environmental Engineering Undergraduate Honors Theses. 12.