Supply Chain Modelling Based on Twelve Related Features: A Novel Iteration Feature Selection Method

Real-time prediction of hour-based order entry has been lacking in literature. Compared to previous research on supply chain problems, our proposed approach overcomes the constraints operations management with longer time periods such as weekly and monthly by developing a novel iteration model. We performed experiments 100 products high cumulative volume over time. Using 3 different dataset, model proved efficient forecasting skewed demand signals lot noise chains.