INTELLIGENT MECHANICAL AND MANUFACTURING SYSTEMS FOR INDUSTRY 4.0 USING ROBOTICS, DIGITAL TWINS, AND DATA-DRIVEN OPTIMIZATION

Abstract

Industry 4.0 represents a paradigm shift in manufacturing, driven by the integration of intelligent mechanical systems, advanced robotics, digital twin technologies, and data-driven optimization techniques. These technologies collectively enable smart, adaptive, and autonomous manufacturing environments capable of improving productivity, flexibility, quality, and sustainability. This review article presents a comprehensive analysis of intelligent mechanical and manufacturing systems within the Industry 4.0 framework, emphasizing the role of robotics, digital twins, and data-centric optimization approaches. Key architectures, enabling technologies, recent advancements, and implementation challenges are critically discussed. The study highlights how data-driven decision-making and cyber-physical integration are transforming conventional manufacturing systems into intelligent, self-optimizing production ecosystems.