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Innovative Supply Chain Management via Digitalization and Artificial Intelligence

Published in Springer Nature
Volume: 424
Pages: 1 - 207

Illustrates artificial intelligence and machine learning models for all areas of operations in supply chain management

Includes examples using machine learning models to handle supply-to-demand imbalances

Consists of case studies that provide a problem statement and industry overcome by applying ML and AI technologies

About the journal
JournalData powered by TypesetStudies in Systems, Decision and Control
PublisherData powered by TypesetSpringer Nature
Open AccessNo