Visualizing Optimal Fuel Strategies under Uncertainty
Student Classification
Senior
Faculty Mentor
Lauren Davis, Ph.D.
Department
Department of Industrial and Systems Engineering
Document Type
Poster
Publication Date
Fall 2019
Disciplines
Industrial Engineering | Other Operations Research, Systems Engineering and Industrial Engineering
Abstract
Natural disasters create unexpected uncertainty. For example, in Florida during a hurricane there is a high peak in demand for fuel. Homeland security is challenged with constantly and consistently meeting the high demand for fuel during a hurricane. In a natural disaster, fuel ports can become inoperable due to the extreme weather conditions (high wind speeds). The objective is to visualize the data of a model that optimizes decision making for Homeland Security during a hurricane. Our visualizations examine schedule optimization, port unmet demand and port ending inventory in the event of a natural disaster.
Recommended Citation
Smith, Sheldon, "Visualizing Optimal Fuel Strategies under Uncertainty" (2019). Undergraduate Research and Creative Inquiry Symposia. 111.
https://digital.library.ncat.edu/ugresearchsymposia/111