The construction industry, marked by significant environmental impacts and inefficiencies in resource utilization, necessitates innovative approaches to achieve sustainable resource management. This study presents a novel framework towards addressing these challenges by improving resource allocation at the preliminary or mobilization phases of construction projects by integrating Artificial Intelligence (AI) with the 3R (Reduce, Reuse, Recycle) principle. The proposed framework comprises a systematic four-phase methodology: initial analysis, AI-driven resource allocation modeling, implementation and monitoring, and ongoing assessment. This integration enhances the effectiveness of value engineering by leveraging AI’s capabilities to process complex dataset and develop optimal resource allocation strategies. The framework emphasizes practical applications while aligning with sustainability goals towards advancing operational and environmental efficiency of construction projects.
A Framework for AI assisted Value Engineering in the Preliminaries Stage of Construction
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