Date of Award
2023-05-01
Degree Name
Master of Science
Department
Industrial Engineering
Advisor(s)
Ana C. Cram
Abstract
This research proposed a novel framework for creating optimal transportation scenarios that consider multiple objectives such as minimum greenhouse gas emissions, air pollutant levels, and cost of ownership. The thesis approach is a multi-objective evolutionary algorithm coupled with the AFEET tool, allowing us to efficiently explore the complex trade-offs between these objectives and identify a diverse set of optimal solutions. Through several case studies and a design of experiments, this demonstrates the effectiveness and practicality in different scenarios. This approach has significant implications for policymakers and industry professionals seeking to make sustainable and cost-effective decisions in the transportation sector.
Language
en
Provenance
Recieved from ProQuest
Copyright Date
2023-05-01
File Size
p.
File Format
application/pdf
Rights Holder
Eva Alondra Diaz Lozano
Recommended Citation
Diaz Lozano, Eva Alondra, "Multi-Objective Optimization Framework For Electrified Vehicle Penetration Based On Life Cycle Assessment And Life Cycle Cost." (2023). Open Access Theses & Dissertations. 3783.
https://scholarworks.utep.edu/open_etd/3783