Jorge Pablo Aguilar-Zavaleta
Faculty of Engineering and Architecture, Professional, School of Architecture César Vallejo University, Peru
Publications
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Research Article
Lean Construction 5.0: A Framework for Collaborative Decision-Making Powered by Artificial Intelligence and Intelligent Parametric Modeling
Author(s): Jorge Pablo Aguilar-Zavaleta* and María Laura López-Luna
The construction industry is going through a historic transformation driven by the need to overcome a chronic stagnation in labor productivity, which has averaged only 1% annual growth in recent decades. This article proposes a conceptual framework called Lean Construction 5.0, which transcends the digitalization of Construction 4.0 to integrate a human- centric, resilient and sustainable vision. The synergy between third-generation BIM, Artificial Intelligence (AI) and parametric modeling allows data capture and predictive analysis to be automated, optimizing decision-making in environments of high uncertainty. Through a review of recent scientific evidence, 30% reductions in design times and an improvement in weekly planning (PPC) reliability are documented from 50% levels to a range of 70-90% through the use of smart tools. The proposed framework emphasizes that technology should s.. Read More»

