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Supply Chain Efficiency Prediction: Leveraging Machine Learning for Improved  Accuracy and Interpretability

Title
Supply Chain Efficiency Prediction: Leveraging Machine Learning for Improved  Accuracy and Interpretability
Type
Thesis
Year
2024-07-19
Authors
Francisco Saraiva Pimenta Verdelhos
(Author)
FEUP
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Scientific classification
FOS: Engineering and technology
Associated Institutions
Hilti AG
Other information
Language: English
No. of pages: 196
Documents
File name Description Size
SupplyChain Efficiency Prediction_Leveraging ML for Improved Accuracy and Interpretability Supply Chain Efficiency Prediction: Leveraging Machine Learning for Improved Accuracy and Interpretability 6259.22 KB
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