Lean 5.0: A Predictive, Human-AI, and Ethically Grounded Paradigm for Construction Management
It addresses inefficiencies in construction management for industry practitioners, but is incremental as it builds on existing Lean-Digital integration.
This paper tackles the problem of integrating predictive analytics and AI with human-centric approaches in construction management, resulting in a 13% increase in Plan Percent Complete, 22% reduction in rework, and 42% improvement in forecast accuracy.
This paper introduces Lean 5.0, a human-centric evolution of Lean-Digital integration that connects predictive analytics, AI collaboration, and continuous learning within Industry 5.0 and Construction 5.0 contexts. A systematic literature review (2019-2024) and a 12-week empirical validation study demonstrate measurable performance gains, including a 13% increase in Plan Percent Complete (PPC), 22% reduction in rework, and 42% improvement in forecast accuracy. The study adopts a mixed-method Design Science Research (DSR) approach aligned with PRISMA 2020 guidelines. The paper also examines integration with digital twin and blockchain technologies to improve traceability, auditability, and lifecycle transparency. Despite limitations related to sample size, single-case design, and study duration, the findings show that Lean 5.0 provides a transformative paradigm connecting human cognition with predictive control in construction management.