... lean tools, operational outcomes, enablers, barriers and emerging research gaps. Findings Supervised learning and deep learning dominate current ML–LM applications, particularly for predictive maintenance, quality control, defect detection and process monitoring. The most frequently targeted lean...

...Hamdia Mansour; Hanaa Abohashima; Heba Elkhouly; Nermine Harraz Purpose This study aims to develop a smart quality control framework integrating Six Sigma methodology, real-time sensing technologies and machine learning algorithms to enhance manufacturing defect prediction and process optimization...

... is used to solve a real General Motors’ case study. Quality control Smart manufacturing Artificial intelligence Big data “Industrial big data (IBD), Industrial Internet of Things (IIoT) and artificial intelligence (AI) are advancing the new era of manufacturing...

... of proper risk management framework. Manufacturing industries Project management Risk management Six Sigma Quality control Process improvement Process quality is the important factor in a project that makes it successful. Process quality improvement is used to improve the quality...