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http://hdl.handle.net/10609/151151
Title: | Inteligencia artificial verde |
Author: | Rodrigues da costa, Miriam |
Tutor: | Anel Garcia, Juan |
Abstract: | This research analyses the effects of artificial intelligence on the supply chain. The implementation of these innovations enables companies to achieve new levels of operational efficiency, cost optimisation and intelligent use of resources. The developments facilitate a perfect synchronisation between logistics operations and the principles of environmental sustainability. Creating a business model that is both profitable and ecologically responsible. Our aim is to unravel how AI can reshape the fabric of supply chains, ranging from a theoretical perspective to its effective application in real operational environments. We analyse the current state of artificial intelligence in process optimisation and project future scenarios, where advanced technology merges with sustainable management methods. We recognise both the challenges and barriers to implementation, including regulatory issues and adaptability to rapid change. For this reason, the paper seeks to provide a comprehensive and balanced view based on recent literature. It highlights both the limitations and the disruptive opportunities that the technology presents in the context of a globalised economy. A comprehensive analysis of the potential of this tool to transform logistics towards greener models in the eco-market is proposed. |
Keywords: | inteligencia artificial regulaciones tecnología cadena de suministro sostenibilidad |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | 24-Jul-2024 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Trabajos finales de carrera, trabajos de investigación, etc. |
Files in This Item:
File | Description | Size | Format | |
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mrodrigues0TFM0624memoria.pdf | Memoria del TFM | 2,41 MB | Adobe PDF | View/Open |
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