This project aims to enhance the efficiency of our manufacturing resource planning (MRP) system by predicting the runtime and memory usage when a new manufacturing plan is added to the configuration. By leveraging multiple linear regression, this project will develop a predictive model that takes into account various factors influencing the MRP plan's performance. This model will help optimize system resources and ensure smoother, more reliable operations.

Stay tuned for detailed insights into the methodology, data analysis, and implementation of this predictive model!