Procurement efficiency through a phased digital twin framework for smart infrastructure projects

What is it about?

Digital twin (DT) technology is emerging as a transformative force in the construction industry, enabling real-time data integration, predictive analysis and lifecycle optimization. However, its application in construction management and procurement remains fragmented, particularly in emerging markets where infrastructure expansion is rapid but constrained by inefficiencies. This research contributes to the construction management literature by offering a structured digitalization roadmap and aligning operational practices with the Sustainable Development Goals (SDGs).

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Why is it important?

this study aims to develop an innovative phased digital twin framework that links automated construction labor measurement with procurement efficiency and sustainability outcomes. Sustainability is incorporated not as a peripheral theme but as an operational outcome of digital twin-enabled decision-making. By enabling real-time monitoring of material usage, waste generation, and procurement accuracy, digital twins directly support resource efficiency and responsible consumption, aligning operational improvements with SDG 9 and SDG 12. By utilizing spatial analysis of worker movements in conjunction with procurement and environmental data, this research offers a comprehensive approach to enhance construction management effectiveness. The framework's phased implementation supports incremental adoption, allowing stakeholders to adapt workflows and technologies progressively

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