Smart Manufacturing and Cutting Edge Technologies for Sustainable Industrial Corporates

Abstract: In industrial corporations, the convergence of advanced technologies and intelligent manufacturing techniques has become a transformative force driving long-term prosperity. As industries shift from traditional mass production toward self-optimizing, data-driven, and flexible systems aligned with corporate sustainability and Industry 5.0 goals, there is a pressing need for integrated smart manufacturing frameworks. This manuscript presents a novel AIoT-enabled smart manufacturing model that uniquely combines closed-loop optimization, predictive maintenance, and real-time operational responsiveness within a single, unified architecture. The innovation lies in the hybrid integration of sensor-driven data acquisition, cloud–edge collaborative processing, machine learning–based decision intelligence, and lifecycle assessment tools, enabling both technical efficiency and environmental compliance. Quantitatively, the proposed model achieves up to a 22–30% reduction in energy consumption, 18–25% reduction in material waste, and a 28–35% improvement in overall equipment effectiveness (OEE) based on the implementation analyses conducted. The results further demonstrate enhanced operational resilience, lower operating costs, and significantly improved sustainability performance, establishing a benchmark for next-generation industrial processes and offering a scalable pathway for future intelligent manufacturing ecosystems.