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García Alcocer, Nadia Monserrat (2025) The use of Artificial Intelligence in the distribution and transport process to optimise routes, reduce operating costs and provide better customer service at the time of delivery of goods. Masters thesis, Dublin, National College of Ireland.
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Abstract
The purpose of this study was to analyse the relevance of using Artificial Intelligence (AI) in the logistics process of goods distribution and transport, with a special focus on improving route planning to achieve a reduction in operating costs and better organisation and customer service in a timely manner for the recycling company MIRALGAR. This research mentions different theories and mathematical models, such as ‘Graph Theory’ and the ‘Execution and Replanning Surveillance Agent Model,’ to enrich and support the topic. It also analyses several applications that artificial intelligence has contributed to evolve and help the world of transport logistics, and how different companies have been implementing them efficiently. Surveys and interviews were used as research tools to evaluate the organisation of route planning within the mentioned company. The results confirmed that the company needs to improve and implement new planning methods, as it has suffered significant losses, delays and high operating costs. Therefore, it was concluded that this research was a success, as the use of surveys and interviews had a positive influence on MIRALGAR, since they reflected on their current situation and showed a high interest in starting to use artificial intelligence to help them improve this process and stand out in the logistics environment.
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