Using Machine Learning to Improve Quality Control in Manufacturing

Abstract

Machine learning (ML) has emerged as a transformative technology in enhancing quality control (QC) processes within the manufacturing industry. By leveraging ML algorithms, manufacturers can not only identify defects but also predict potential failures and optimize production lines in real-time. This article explores the applications of ML in quality control, focusing on predictive maintenance, defect detection, and process optimization. We also discuss the challenges of implementing ML systems in manufacturing environments and the future direction of this technology in improving overall product quality and production efficiency.