Cornell University
ESSAYS ON OPTIMIZATION AND SUPPLY CHAIN STRATEGIES FOR SUSTAINABLE SYSTEMS: INSIGHTS FROM FRACTAL DIMENSION IMAGE ANALYSIS, PHOTOVOLTAIC MANUFACTURING RESILIENCE, AND FRESH PRODUCE INFRASTRUCTURE
Abstract
dc:description.abstractSustainable systems engineering increasingly relies on quantitative models that connect methodological advances with real supply-chain decisions in energy and food systems. This dissertation integrates two pillars of systems engineering—optimization and supply-chain analysis—across three essays: (i) an AI/optimization framework that eliminates quantization error in fractal-dimension (FD) measurement from optical images, improving the fidelity of micro- to mesoscale structure quantification; (ii) a prospective life-cycle and systems analysis of reshoring crystalline-silicon photovoltaic (PV) manufacturing to the U.S., linking resilience with decarbonization; and (iii) a large-scale mixed-integer programming (MIP) model for locating and sizing fresh-produce hubs to support regional food security and cost-effective distribution. Together, these essays illustrate how reproducible analytics and optimization can inform resilient, lower-impact infrastructure across sectors.
Degree
thesis:*- Name thesis:degree_name
- Ph. D., Systems Engineering
- Level thesis:degree_level
- Doctor of Philosophy
- Discipline thesis:degree_discipline
- Systems Engineering
- Grantor
- Cornell University
- Year dc:date.issued
- 2025
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Liang, Haoyue
- Committee members dc:contributor.committeemember
-
- Li, Shanjun
- Gao, Huaizhu
Subjects
dc:subject × 5Rights
- Language dc:language.iso
- en
Identifiers
dc:identifier.*- Dc Identifier Other
-
ProQuest Submission ID: 15379
ProQuest Publication ID: 32395327 - OAI identifier oai:identifier
- oai:ecommons.cornell.edu:1813/121087