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What is Using Machine Learning For Predicting Efficiency in Manufacturing Industry about?

This document discusses the use of various Machine Learning algorithms to predict Overall Equipment Effectiveness (OEE) in the manufacturing industry, specifically within an automotive cable production context. The study evaluates algorithms such as Support Vector Machine, Random Forest, XGBoost, and Deep Learning, concluding that Deep Learning and Random Forest provide the most accurate predictions. The aim is to enable managers to proactively address inefficiencies and improve production effectiveness thr

Author

Muh Nur Afif Luthfi

Language

EN