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Sikharam, Sai Naga Charan (2024) Supply Chain Optimization using Data Analytics: Analysis of Inventory Management, Transportation Logistics, & Procurement Processes. Masters thesis, Dublin, National College of Ireland.
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Abstract
The supply chain is an organizational network, that includes various factors from producing to delivering a product, it is difficult to achieve customer satisfaction and operational efficacy in the current business environment. advanced machine learning techniques have shown significant results in predicting analysis among various domains, exploring these advancements in supply chain management to advance key aspects. Different algorithms are evaluated to recognize the most effective techniques for accurately forecasting on-time deliveries, the algorithms used in this research are SVM (Support Vector Machines), KNN (K-Nearest Neighbors), Logistic Regression, Extra Trees, XGBoost, and Random Forests. From results we have demonstrated that Random Forest followed by XGBoost AdaBoost achieved the highest accuracy, these models can improve prediction accuracy and decision-making for supply chain management. Additionally, an ensemble approach is used for more robust and less deviations in predictions achieved 99.13% accuracy where ensemble model uses average of all models considered the final result. Integrating advanced machine learning techniques into the current supply chain will enhance the existing model’s customer satisfaction, operational efficacy, and cost reduction.
| Item Type: | Thesis (Masters) |
|---|---|
| Supervisors: | Name Email Jameel Syed, Muslim 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 H Social Sciences > HD Industries. Land use. Labor > Business Logistics > Transportation of Goods and Trade Logistics |
| Divisions: | School of Computing > Master of Science in Artificial Intelligence |
| Depositing User: | Ciara O'Brien |
| Date Deposited: | 18 Jun 2025 14:46 |
| Last Modified: | 18 Jun 2025 14:46 |
| URI: | https://norma.ncirl.ie/id/eprint/7926 |
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