Enhancing Supply Chain Resilience: A Machine Learning Approach for Predicting Product Availability Dates Under Disruption

The COVID 19 pandemic and ongoing political and regional conflicts have a highly detrimental impact on the global supply chain, causing significant delays in logistics operations and international shipments. One of the most pressing concerns is the uncertainty surrounding the availability dates of p...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	arXiv.org 2023-04
Hauptverfasser:	Mustafa Can Camur, Sandipp Krishnan Ravi, Saleh, Shadi
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Alliances Availability Logistics Machine learning Neural networks Prediction models Regression models Shipments Steam turbines Supply chains
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!