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What is Predictive Big Data Analytics For Supply Chain Dem about?

This survey paper by Seyedan and Mafakheri explores the applications of predictive big data analytics (BDA) in supply chain demand forecasting, highlighting various algorithms such as time-series forecasting, clustering, and machine learning techniques. The authors identify gaps in the current literature, particularly regarding closed-loop supply chains, and propose future research opportunities to enhance demand forecasting accuracy. The paper emphasizes the importance of utilizing big data to address unce

Author

Zeeshan Elahi

Language

EN