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

No Thumbnail Available

URL

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