Lean 5.0融合预测分析与AI，提升施工管理效率与透明度。
Lean 5.0: A Predictive, Human-AI, and Ethically Grounded Paradigm for Construction Management
- 构建人机协同的预测性管理框架，结合数字孪生与区块链。
- 实证显示计划完成率提升13%，返工减少22%，预测准确率提高42%。
- 适合关注智能建造与伦理化AI应用的工程管理者。
本文提出精益5.0（Lean 5.0），一种以人为本的精益-数字化融合新范式，整合预测分析、人机协作与持续学习机制，应用于工业5.0与建筑5.0背景。基于2019至2024年系统文献综述及为期12周的实证研究，采用符合PRISMA 2020指南的混合方法设计科学研究（DSR）方法，验证了显著绩效提升：计划完成率（PPC）提高13%，返工减少22%，预测准确率提升42%。研究还探索了与数字孪生和区块链技术的集成，以增强可追溯性、可审计性与全生命周期透明度。尽管存在样本量小、单案例设计及研究周期短等局限，结果表明Lean 5.0为连接人类认知与预测控制提供了变革性范式。
原文摘要 · Abstract (English)
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.
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