用AI自动检查工厂5S管理，效率提升50%，成本降99.8%。
Intelligent 5S Audit: Application of Artificial Intelligence for Continuous Improvement in the Automotive Industry
- 基于大语言模型的图像分析，自动评估5S五项标准。
- 审计速度提升50%，人工成本降低99.8%，一致性达kappa=0.75。
- 适合想实现智能制造的汽车制造企业，可跨厂规模部署。
人工智能技术赋能5S管理方法，推动汽车产业链工业组织审计向更客观、高效和符合工业4.0标准的方向演进。本文开发了一种基于大规模语言模型（LLM）的自动化5S审计系统，通过智能图像分析标准化评估5S中的五个要素（整理、整顿、清扫、清洁、素养）。系统可靠性经科恩一致性系数验证（kappa = 0.75），显示其自动评估与人工审计高度一致。结果表明，该方案显著促进汽车制造环境的持续改进，审计时间缩短50%，运营成本相比传统人工审计降低99.8%。该方法为精益生产与新兴AI技术融合提供了新范式，具备在不同规模汽车工厂中推广的可扩展性。
原文摘要 · Abstract (English)
The evolution of the 5S methodology with the support of artificial intelligence techniques represents a significant opportunity to improve industrial organization audits in the automotive chain, making them more objective, efficient and aligned with Industry 4.0 standards. This work developed an automated 5S audit system based on large-scale language models (LLM), capable of assessing the five senses (Seiri, Seiton, Seiso, Seiketsu, Shitsuke) in a standardized way through intelligent image analysis. The system's reliability was validated using Cohen's concordance coefficient (kappa = 0.75), showing strong alignment between the automated assessments and the corresponding human audits. The results indicate that the proposed solution contributes significantly to continuous improvement in automotive manufacturing environments, speeding up the audit process by 50% of the traditional time and maintaining the consistency of the assessments, with a 99.8% reduction in operating costs compared to traditional manual audits. The methodology presented establishes a new paradigm for integrating lean systems with emerging AI technologies, offering scalability for implementation in automotive plants of different sizes.
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