| SMART JOURNAL OF BUSINESS MANAGEMENT STUDIES |
VOL. 21 |
NO. 2 |
PAPER 3 |
DOI: 10.34293/2321-2012.2025.0002.3 |
LEVERAGING DIGITAL TWINS FOR PROJECT MANAGEMENT SUCCESS IN SUPPLY CHAIN ENVIRONMENTS |
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| N.Sureshkumar PP Narayanan*, Farha Ghapar**, Li Lian Chew***, Fadhlur Rahim Azmi****, Umahdevi Jayamani***** and Azimah Daud****** |
| *University of East London, London, England |
| **Universiti Poly-Tech Malaysia, Cheras, Kuala Lumpur, Malaysia |
| ***Binary Business School, Binary University, Selangor, Malaysia. |
| ****Faculty of Business & Management, Universiti Teknologi MARA (UiTM),
Cawangan Melaka, Kampus Bandaraya, Melaka, Malaysia. |
| *****Logispreneur Academy, Selangor, Malaysia |
| ******Faculty of Business and Management, Universiti Teknologi MARA, Cawangan Selangor, Kampus Puncak Alam, Selangor, Malaysia. |
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| As supply chains grow increasingly complex, organizations are turning to Digital Twin Technology, to enhance project management success. This study explores the role of RealTime Data Integration (RTD) and Simulation & Predictive Analytics (SPA), in optimizing supply chain project execution. By leveraging real-time data, organizations can improve visibility, risk mitigation and operational efficiency. Simulation and predictive analytics enable scenario planning and data-driven decision-making. A quantitative approach was employed to analyze the impact of these technologies on project outcomes. The findings revealed that both RTD and SPA significantly contributed, to project management success, with SPA displaying a stronger influence. The study highlights the critical role of digital twin technology in improving forecasting, resource allocation and collaboration, ultimately enhancing project efficiency. These insights could provide valuable recommendations for supply chain professionals and project managers, seeking to leverage digital twins for strategic decision-making and risk management. Future research can explore advanced AI-driven models and industry-specific applications of digital twin technology, to further optimize supply chain project management. |
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