Enhancing knowledge accessibility from shift documentation in pharma manufacturing: an AI-based, human-centered solution
Autorino, Ludovica (A.A. 2024/2025) Enhancing knowledge accessibility from shift documentation in pharma manufacturing: an AI-based, human-centered solution. Tesi di Laurea in Data visualization, Luiss Guido Carli, relatore Blerina Sinaimeri, pp. 75. [Master's Degree Thesis]
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Abstract/Index
Context description and problem statement. Description of the context. A focus on industrial shift handover reports. Objective. The user persona(s). Shift handover description. State of the art. Knowledge management in industrial operations. Search technologies in knowledge management. Large language models (LLMs) for summarization. Retrieval-augmented generation (RAG). Agentic AI and orchestration frameworks. Identified gaps in existing solutions. Methodology. Data exploration, cleaning and pre-processing. Document augmented retrieval. Summarization strategy. Consolidation into an agentic architecture. User interaction. Results. Use cases.
References
Bibliografia: pp. 66-69.
| 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: | Data visualization |
| Thesis Supervisor: | Sinaimeri, Blerina |
| Thesis Co-Supervisor: | Morandini, Lorenza |
| Academic Year: | 2024/2025 |
| Session: | Autumn |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 13 Feb 2026 11:52 |
| Last Modified: | 13 Feb 2026 11:52 |
| URI: | https://tesi.luiss.it/id/eprint/44814 |
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