Optimization of Strawberry Supply Chain from the Perspective of Producers

This thesis aims at maximizing the profit of a strawberry producer while satisfying the retailer's demand and meeting other constraints. The amount of strawberries to be delivered to the retailer signed in the contract is the main decision variable to be optimized in the problem. Furthermore, the transportation scheduling is also optimized to...

Optimal Energy Resource Control in Congested Areas: A Stochastic Resource Dispatch Optimization Model Considering Flexible Robust Constraints

Future energy systems are expected to rely increasingly more on distributed energy resources (DER). Prosumers that own energy resources such as photovoltaic (PV) generation and energy storage systems, will play a crucial role in the realization of DER’s in future power systems. Limited grid connections due to local electricity congestion make it...

Robust Tail Assignment: Incorporating Delay Predictions into a Tail Assignment Model to Decrease Flight Operation Costs

In this thesis a novel model is proposed to solve the Robust Tail Assignment problem. The Robust Tail Assignment problem aims to assign aircraft to flights, while minimize expected costs of operating a flight schedule, including expected delay costs. This problem is difficult, because delays can propagate between successive flights in the...

Integrating Predictive and Optimization Model for Intelligent Schedule Management based on Real Time ETA Information: A Concept of Machine Learning and Exact Solution in Petrochemical Loading Facility

This study addresses the truck rescheduling problem as the consequence of uncertain arrival time. It proposes an integrated system of predictive model powered by machine learning algorithm and exact optimization model such that it is distinct from most existing literatures in this domain. The uncertainty of truck arrival time is captured as...

A Smart-Charging Algorithm Development Considering Uncertainties in the System

With the current urge around the globe for switching to “green energy” and Renewable Energy Sources (RES) utilization, the electrification of the transportation sector has become a necessity. While the emerging Electric Vehicles (EVs) can provide several benefits to the power grid, such as voltage and frequency regulation and power quality...

Machine learning to support cutting plane selection in two-stage robust optimization problems using a column-and-constraint-generation algorithm

The field of robust optimization deals with problems where uncertainty influences the optimal decision. Some of these problems can be formulated in a ‘two-stage’ formulation, such as the location transportation problem. To solve such a problem, a column-and-constraint-generation algorithm has been introduced in which constraints are iteratively...

Robust energy production optimization of a wind farm using wake steering by calibrating the FLORIS model on SCADA data

Wind farms experience significant efficiency losses due to the aerodynamic interaction between turbines. A possible control technique to reduce these losses to a minimum is yaw-based wake steering. This thesis investigates the feasibility of this technique by calibrating a surrogate model called the FLOw Redirection and Induction in Steady-state...

Online Distributionally Robust Fault Classification: With an Application for Tritium's EV Chargers

This thesis presents a novel data-driven Fault Detection and Isolation algorithm for the public network of Electric Vehicle chargers of Tritium Ltd. Pty. The proposed solution is robust against marginal differences in data distribution as well as marginal changes over time due the state-of-the-art optimization techniques used. This is required...

Representative Models for History Matching and Robust Optimization

Space systems conceptual design: Analysis methods for engineering-team support

The research can be placed in the framework of designing methods for complex systems focused on the conceptual design phase of the systems’ life-cycle. More specifically, the methods presented in the dissertation belong to the category of Operational Research methods. They aim at the creation of design and analysis tools in support of the...