Improving Plant Productivity by OEE Loss Prediction and Occupational Ergonomics

Abstract

In the Digital manufacturing and cloud manufacturing environment, Predictive analytics newlineand real-time monitoring are gaining importance and becoming the main driver for newlineimplementing the same. The current research focuses to evolve a reliable design for newlinepredicting the Overall Equipment Effectiveness (OEE) estimation of Total Productive newlineMaintenance (TPM) which is an important measure for comparing the performance newlineof various industries. Because of this, a predictive model is developed along with loss newlineprediction using Matlab, R studio, and Python. Also to improve productivity monitoring newlinethe health of the equipment with the approach of Prognostic health monitoring and newlineimplementing occupational ergonomics are studied and proposed using case studies newlinecarried out in auto ancillary industries. newline