Sechi, Simone (A.A. 2024/2025) Challenges and opportunities of large-scale predictive maintenance in Rai Way. Tesi di Laurea in Entrepreneurship and innovation technology, Luiss Guido Carli, relatore Giuseppe D'Alessandro, pp. 75. [Master's Degree Thesis]

Full text for this thesis not available from the repository.

Abstract/Index

Types of maintenance: from reactive to predictive. The evolution of maintenance: a conceptual framework. Predictive maintenance in the telecommunications sector. From maintenance to data-driven business. Gaps in literature and industry practice. Rai Way infrastructure overview (business model perspective). Test case: Trento model and POLIMI feasibility study. Technological limitations and early outcomes. Mapping: technology, people, governance and strategy. Evidence base and analytical procedure. Key findings: opportunities and challenges. Hypothesis evaluation. Technical recommendations (business/cost/performance trade-offs). Organizational recommendations (change, governance, skills). Business model fit & business model innovation. Roadmap and restart conditions (pause now, restart later). Lessons learned through a technology strategy lens. Future developments and outlook (when and how PdM could restart).

References

Bibliografia e sitografia: pp. 66-72.

Thesis Type:	Master's Degree Thesis
Institution:	Luiss Guido Carli
Degree Program:	Master's Degree Programs > Master's Degree Program in Strategic Management Digital (LM-77)
Chair:	Entrepreneurship and innovation technology
Thesis Supervisor:	D'Alessandro, Giuseppe
Thesis Co-Supervisor:	McCarthy, Ian Paul
Academic Year:	2024/2025
Session:	Extraordinary
Deposited by:	Alessandro Perfetti
Date Deposited:	10 Sep 2026 07:44
Last Modified:	10 Sep 2026 07:44
URI:	https://tesi.luiss.it/id/eprint/46779

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