Role of Data Analytics to overcome Challenges in Supply Chain Management

Ahmed, Muddassir (2024) Role of Data Analytics to overcome Challenges in Supply Chain Management. Masters thesis, Dublin, National College of Ireland.

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Abstract

Supply chain management is facing big challenges in business. In this paper, we are trying to find how data analytics can be used in supply chain management, specifically in demand forecasting of the products and late deliveries of the shipment. The main focus of this thesis is on two supply chain areas: demand forecasting of goods based on previous sales and late deliveries of the shipment analysis. By using different data-driven models to check demand forecasts based on previous sales of the products, we also analyze the main reasons behind late deliveries. Based on these, companies can take proper measures to reduce risks, and they can improve operational efficiency. The ordinary least squares regression is used to evaluate previous sales of the dataset, and classification models are used to evaluate the reasons for the late delivery of the shipment. We then use a confusion matrix to evaluate the performance of the classification models. Data analytics is used for the supply chain industry, where companies can improve their operations and resources, and can optimize their resources and operations. This study aims to find ways through predictive data modelling by using different machine learning algorithms to improve performance in supply chain management.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Chikkankod, Arjun UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning H Social Sciences > HD Industries. Land use. Labor > Business Logistics > Supply Chain Management
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Ciara O'Brien
Date Deposited:	06 Aug 2025 15:01
Last Modified:	06 Aug 2025 15:01
URI:	https://norma.ncirl.ie/id/eprint/8450

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