Predicting Order Lead Time for Just in Time production system using various Machine Learning Algorithms: A Case Study

Predicting lead time can have some serious consequences on Supply Chain Management (SCM) system including reduction in inventory and associated costs, increase in throughput and yield. The aim of this research paper is to predict the order lead time in a Just in Time (JIT) manufacturing environment. An attempt has been made to predict the order lead time or delivery time for a restaurant using several features. Different supervised state-of-the-art regression machine learning algorithms were used and their accuracies were compared on the given dataset.