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

Journal of Big Data

Table 1 Review of the related papers

Authors	Prediction domain	ML models	Performance metrics	Flexible inventory control with ranged data	Probable decision scenarios
Carbonneau et al., (2008)	Manufacturers’ garbled demands	SVM, NN	✓
Guanghui (2012)	Supply chain’s demand	SVR, RBF	✓
Shin et al., (2012)	Backorder replenishment planning			✓	✓
de Santis et al., (2017)	Material backorder in supply chain	LOGIST, CART, Ensemble	✓
Prak and Teunter (2019)	Prediction uncertainty			✓	✓
Proposed work	Product backorder in supply chain	DRF, GBM	✓	✓	✓