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Gen-AI and the Future of Supply Chain Management: The Impact of Large Language Models on Modern Supply Chain Management
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Autores
Orientador(es)
Resumo(s)
LLMs like GPT-4 possess an exceptional ability to understand and generate human language,
driven by advancements in Artificial Intelligence, Deep Learning, and Natural Language
Processing. Companies are increasingly interested in integrating this cutting-edge technology
into their Supply Chain processes to leverage its capabilities. While previous studies have
explored the impact of LLMs on various Supply Chain Management functions—such as
demand forecasting, supplier evaluation, simulation, and optimization—no comprehensive
survey has yet consolidated these functions into a single research effort.
This thesis provides a thorough review of the impact of LLMs on Supply Chain Management,
focusing on four key dimensions: demand forecasting, supplier evaluation, simulation, and
optimization. The study begins with a knowledge background section designed to equip the
reader with essential information about LLMs and Supply Chain Management. Following this,
the benefits and challenges of applying LLMs in Supply Chain Management are examined,
supported by two detailed case studies showcasing real-world applications. The thesis
concludes by outlining potential directions for future research, offering a roadmap for further
exploration in this rapidly evolving field.
Key findings reveal that LLMs significantly enhance SCM by improving efficiency, accuracy, and
decision-making capabilities. They empower both technical and non-technical users and
democratize access to complex processes like simulations and optimization. However,
integrating LLMs into SCM presents challenges such as user adoption issues, hallucinations,
privacy concerns, and potential disruptions. Addressing these challenges is crucial for the
successful and safe implementation of LLMs in SCM, paving the way for innovative, resilient,
and responsive supply chain operations.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data Science
Palavras-chave
Large Language Models Supply Chain Management Generative Artificial Intelligence Decision-Making SDG 9 - Industry, innovation and infrastructure SDG 12 - Responsible production and consumption