Application of Artificial Intelligence in Supply Chain Management

Ali, Qasim (2024) Application of Artificial Intelligence in Supply Chain Management. Masters thesis, Dublin, National College of Ireland.

Preview	PDF (Master of Science) Download (689kB) | Preview
Preview	PDF (Configuration Manual) Download (285kB) | Preview

Abstract

AI in SCM has helped in increasing efficiency, reliability, and cost-effectiveness of the supply chain management system. The purpose of this study is to understand the current trends of the AI application in the SCM that could affect the flexibility of supply chains, inventory management, demand forecasting, and the optimization of the supply chain functions. To this end, the study relates to SC resilience to major disruptions including the COVID-19 disruption where AI was instrumental in demand forecasting and inventory replenishment for giants like Walmart and Amazon. AI can be applied in the area of operations through data analysis for decision support, predictive maintenance, and automation cutting down of human error and resource wastage. This will be done using secondary and primary data mix. Another issue that has been pointed out in the study is the quality of available data, as well as the interpretability of the resulting models, which raises the topic of the importance of XAI in the context of stakeholders’ trust. Directions for future studies indicate that AI should be implemented alongside other technologies such as IoT and blockchain to improve the operations of supply chains. Finally, based on the research, one can conclude that AI can indeed become a key driver of change in SCM, which will help achieve competitive advantages and better adapt to disruptions.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Anand, Devanshu UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence H Social Sciences > HD Industries. Land use. Labor > Business Logistics > Supply Chain Management
Divisions:	School of Computing > Master of Science in Artificial Intelligence for Business
Depositing User:	Ciara O'Brien
Date Deposited:	20 Jun 2025 11:52
Last Modified:	20 Jun 2025 11:52
URI:	https://norma.ncirl.ie/id/eprint/7980

Actions (login required)

View Item