Jia Bhanushali
I am a second-year undergraduate student at the Indian Institute of Management Ranchi, with a strong inclination towards Operations Research, logistics, and supply chain management, focusing on optimization modelling and applied mathematical computational methods.
Session
Our paper develops a nonlinear bi-objective optimization model to analyze cost-emission
trade-offs in maritime fleet operations. The model minimizes total fleet cost and total fleet
emissions through interactions between fuel share choices, digitization adoption, regulatory
frameworks, and operational decisions. We implement the model using the Julia program-
ming language with the JuMP modeling framework, employing the ε-constraint method
to generate a discrete approximation of the Pareto frontier. Results demonstrate that cost-
effective maritime decarbonization emerges from coordinated fuel transition, universal adop-
tion of digitization technologies, and regulatory-driven fleet reallocation, rather than from
isolated interventions. Sensitivity analysis across different digitization adoption modes re-
veals that unconstrained digitization serves as a low-cost enabler of emissions reduction.