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Browsing by Author "Vinel, Alexander"
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Data Analytics Methods for Supply Chain Risk Management with Applications in Transportation and Manufacturing Safety
Mehdizadeh, Amir (2021-12-06)
Supply chain management aims to understand and explain how organizations should collaborate within a chain to improve the overall competitiveness of the chain and smooth the flow of the money, material, and information ...
Decision Making Models for Power Systems Operations Under Uncertainty
Olivos Matus, Carlos (2023-08-02) ETD File Embargoed
As the power grids worldwide transition from fossil fuel-based power plants to an era dominated by renewable energy sources (RESs), new operational challenges and uncertainties emerge, particularly for Independent System ...
Flying Drone Sidekick Travelling Salesman Problem with Integrating Pickup and Delivery
Yanpirat, Nawin (2023-10-30) ETD File Embargoed
With the current growth of e-commerce, the complexity of last-mile logistics has become an essential field of study to improve customer satisfaction. Existing research has primarily focused on integrating drones for delivery ...
On Advances in Deep Learning with Applications in Financial Market Modeling
Wang, Xing (2020-08-17)
This dissertation focuses on advancing the machine learning, with a particular focus on the application for financial trading. It is organized into two parts. The first part of this dissertation (Chapters 1-2) will be ...
On Closed-loop Supply Chain and Routing Problems for Hazardous Materials Transportation with Risk-averse Programming, Robust Optimization and Risk Parity
Mohabbati Kalejahi, Nasrin (2019-07-29)
The objective of this dissertation is to develop mathematical optimization models that assist and improve the decision making process in hazardous materials (hazmat) routing and supply chain network design. First, a ...
On optimal pooling of renewable energy sources through risk-averse portfolio optimization methods
Han, Chanok (2022-02-17)
This dissertation investigates approaches to achieve optimal pooling of renewable energy sources through risk-averse portfolio optimization methods. The first chapter aims at evaluating the potential for an approach targeted ...
Optimization methods incorporating statistical and machine learning models in traffic safety
Hu, Qiong (2021-07-28)
In this dissertation, we investigated the optimization and statistical models regarding the safety aspects of trucking operations. A significant gap in the literature has been identified concerning the interaction between ...