Enabling Smart Manufacturing through Automated Quality Management Systems in the Era of the Fourth Industrial Revolution

Abstract

This study aimed to enable smart manufacturing through automated quality management systems (AQMS) in the era of the Fourth Industrial Revolution. It explores this through a systematic review of contemporary literature. By analyzing key studies, this paper identifies a crucial shift from end-of-line defect detection to proactive, real-time monitoring, supported by the Internet of Things (IoT) and cyber-physical systems (CPS).

The findings highlight several key pillars of this digital transformation: the application of artificial intelligence (AI) and machine learning (ML) for quality prediction; the use of digital twins for comprehensive personalization; and the application of blockchain technology for digital tracking and regulatory compliance, particularly in sensitive sectors such as medical device manufacturing. Furthermore, the study addresses the "human factor," emphasizing that the successful implementation of AQMS depends on upskilling the workforce and fostering seamless human-machine collaboration. This research proposes a comprehensive conceptual model that bridges the gap between traditional total quality management and the demands of the Fourth Industrial Revolution, providing a strategic roadmap for achieving self-regulating quality systems within a modern industrial context..