SMART Journal of Business Management Studies - 2025 : Leveraging Digital Twins for Project Management Success in Supply Chain Environments

PP Narayanan, N. Sureshkumar and Ghapar, Farha and Chew, Li Lian and Azmi, Fadhlur Rahim (2025) SMART Journal of Business Management Studies - 2025 : Leveraging Digital Twins for Project Management Success in Supply Chain Environments. SMART Journal of Business Management Studies, 21 (2). pp. 26-39. ISSN SMART Journal of Business Management Studies

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Abstract

As supply chains grow increasingly complex, organizations are turning to Digital Twin Technology to enhance project management success. This study explores the role of Real-Time 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 provide valuable recommendations for supply chain professionals and project managers seeking to leverage digital twins for strategic decision-making and risk management. Future research may explore advanced AI-driven models and industry-specific applications of digital twin technology to further optimize supply chain project management.

Item Type:	Article
Subjects:	T Technology > TS Manufactures
Divisions:	Institute of Graduate Studies (IGS)
Depositing User:	LIBRARY2 UPTM
Date Deposited:	31 Jul 2026 02:22
Last Modified:	31 Jul 2026 02:22
URI:	http://eprints.uptm.edu.my/id/eprint/5936

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