Internet of Things (IoT)-Enabled Smart Manufacturing Systems Architectures, Technologies, and Applications

Abstract

At the intersection of digital innovation and industrial transformation, IoT-enabled smart manufacturing is redefining how production systems operate. This paper explores how integrating IoT, cloud computing, AI, edge computing, and digital twin technology is revolutionizing manufacturing. By critically examining established architectural frameworks—from the traditional three-layer model to advanced paradigms such as RAMI 4.0 and IIRA—they illustrate how seamless data flow and real-time communication among sensors, smart devices, and cloud infrastructures are achieved. The study delves into the synergistic benefits that these technologies offer, including enhanced predictive maintenance, optimized supply chain management, and improved human-machine collaboration. It also investigates the technical, economic, and regulatory challenges accompanying these systems' deployment, particularly in complex industrial settings like underground mining and smart automotive manufacturing. Through a detailed synthesis of current research and practical applications, this work highlights the transformative potential of IoT-enabled smart manufacturing and charts a path for future innovations to build more agile, resilient, and sustainable industrial ecosystems. The insights provided serve as a robust foundation for academic inquiry and real-world implementation, emphasizing the critical role of digital integration in the ongoing evolution toward Industry 4.0.