Applying machine learning methods for supply chain risk management to predict supply chain disruptions

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Journal Title
Journal ISSN
Volume Title
School of Business | Master's thesis
Date
2022
Major/Subject
Mcode
Degree programme
Information and Service Management (ISM)
Language
en
Pages
70
Series
Description
Thesis advisor
Basu, Gautam
Keywords
machine learning, supply chain risk management, disruptions, artificial intelligence
Other note
Citation