Factory Floor Transformation for Achieving Operational Excellence with IoT and Machine Learning

In today's competitive industry, manufacturers seek novel approaches to improve operations and enhance efficiency. To achieve Operational Excellence, this abstract provides a Factory Floor Transformation plan that uses the Internet of Things (IoT), Machine Learning, and the Random Forest algorithm. The Factory Floor Transformation employs IoT sensors and devices throughout production. These sensors monitor machine operation, product quality, and energy usage in real-time. Using data preprocessing, feature engineering, and predictive modeling, a strong Machine learning framework is created. The Random Forest algorithm, which handles complicated, multi-dimensional data, powers Machine Learning. Random Forest is appropriate for manufacturing complex problems because its ensemble learning technique yields reliable and accurate forecasts. Predictive maintenance, quality control, and resource optimization are enabled by the model's previous training and real-time updates. Factory Floor Transformation provides enterprises with a complete Operational Excellence solution. Companies may minimize production bottlenecks, downtime, defects, and resource allocation by using IoT data and Machine Learning. This abstract illustrates how this method may transform production and make it more efficient and competitive.