The emergence of Industry 4.0 has accelerated the adoption of advanced digital technologies in manufacturing and operations management. Among these technologies, Digital Twins have become a transformative innovation that enables organizations to create virtual replicas of physical assets, processes, systems, and entire manufacturing environments. By integrating real-time data from sensors, Internet of Things (IoT) devices, Artificial Intelligence (AI), cloud computing, and advanced analytics, digital twins facilitate predictive maintenance, operational optimization, quality improvement, and enhanced decision-making. This study investigates the role of Digital Twin technology in manufacturing and operations management. A quantitative research methodology was employed involving 370 manufacturing managers, operations executives, digital transformation specialists, and industrial engineers across various industries. The findings reveal that Digital Twin implementation significantly improves operational efficiency, predictive maintenance capabilities, product quality, production flexibility, and organizational performance. The study highlights key implementation challenges and proposes strategies for maximizing the benefits of Digital Twin technology in smart manufacturing environments.