Machine Learning in Supply Chain Management

An overview of existing approaches based on the SCOR model

JournalIndustrie 4.0 Management
Issue Volume 37, 2021, Edition 2, Pages 49-51
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Abstract

With increasing availability of data, the use of machine learning to optimize supply chains becomes attractive, as the accuracy of data analysis can be increased and simultaneously the effort can be reduced. Based on the SCOR model, exemplary approaches are described as a guidance and suitable machine learning methods are presented.

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