Digital Twin as a Methodology for Improving Operational Performance in Industrial Organizations

Abstract

The study aims to explore the role of Digital Twin technology as an effective tool for improving operational performance in industrial organizations, by enhancing efficiency, predictive maintenance, and data-driven decision-making. The effectiveness of Digital Twins relies on the integration of IoT, cloud computing, and advanced analytics, alongside employee training and management readiness for change. The study has found that developing a structured roadmap for adopting Digital Twin technology, starting with pilot projects, investing in digital infrastructure, fostering partnerships between universities, research centers, and industrial organizations, establishing clear frameworks for data governance and cybersecurity, and adapting lessons learned from international experiences to local contexts, significantly enhances operational performance, flexibility, and future readiness. The study recommends that organizations implement these strategies to ensure the effective use of Digital Twins and maximize their potential in improving operational processes and driving industrial innovation.