Prediction of probable backorder scenarios in the supply chain using Distributed Random Forest and Gradient Boosting Machine learning techniques

Overview of attention for article published in Journal of Big Data, August 2020

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In the top 25% of all research outputs scored by Altmetric
Good Attention Score compared to outputs of the same age (72nd percentile)
Good Attention Score compared to outputs of the same age and source (70th percentile)

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Summary News Dimensions citations

So far, Dimensions has found 84 publications that cite this research output.

84

The most recent citing publications are shown below. View all 84 publications that cite this research output on Dimensions.

Deep learning approaches to identify order status in a complex supply chain

Article in Expert Systems with Applications (September 2024)

Enhancing supply chain resilience: A machine learning approach for predicting product availability dates under disruption

Article in Expert Systems with Applications (August 2024)

A multi-MLP prediction for inventory management in manufacturing execution system

Article in Internet of Things (July 2024)