From data to delivery: data-driven engineering of last-mile optimization for quick commerce in Rome and Montreal
Paquette, David (A.A. 2024/2025) From data to delivery: data-driven engineering of last-mile optimization for quick commerce in Rome and Montreal. Tesi di Laurea in International operations and global supply chain, Luiss Guido Carli, relatore Lorenza Morandini, pp. 80. [Master's Degree Thesis]
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Abstract/Index
Literature review. Global context: urban logistics and the rise of e-commerce. The emergence of quick commerce. The last-mile delivery problem. Algorithmic approaches to courier assignment and routing in q-commerce. Simulation-based benchmarking of assignment and routing strategies. Advances in dynamic, integrated, and real-time courier assignment. Identified research gaps and thesis contribution. Methodology. Overview of research design. Libraries and computational tools. Simulation pipeline with machine learning model training. Data collection and preparation. Simulation environment. Synthetic data generation for model training. Assignment strategies. Evaluation metrics. Experimental protocol. Results. Experimental setup and evaluation metrics. Results and comparative analysis.
References
Bibliografia: pp. 75-80.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in Data Science e Management (LM-91) |
| Chair: | International operations and global supply chain |
| Thesis Supervisor: | Morandini, Lorenza |
| Thesis Co-Supervisor: | Valentini, Giovanni |
| Academic Year: | 2024/2025 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 24 Oct 2025 13:29 |
| Last Modified: | 24 Oct 2025 13:29 |
| URI: | https://tesi.luiss.it/id/eprint/43553 |
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