Title: Intelligent 5S Audit: Application of Artificial Intelligence for Continuous Improvement in the Automotive Industry Show Chinese title

Title: 智能5S审核：人工智能在汽车工业持续改进中的应用

Abstract: 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. Show Chinese abstract

Abstract: 5S方法论在人工智能技术支持下的发展为改善汽车产业链的工业组织审计提供了重要机遇，使其更加客观、高效，并符合工业4.0标准。 这项工作开发了一个基于大规模语言模型（LLM）的自动化5S审计系统，能够通过智能图像分析以标准化方式评估五感（Seiri, Seiton, Seiso, Seiketsu, Shitsuke）。 该系统的可靠性通过Cohen的一致性系数（kappa = 0.75）进行了验证，显示出自动化评估与相应人工审计之间高度一致。 结果表明，所提出的解决方案对汽车制造环境的持续改进有显著贡献，将审计过程加快了传统时间的50%，并保持了评估的一致性，与传统人工审计相比，运营成本降低了99.8%。 所提出的方法建立了一种将精益系统与新兴AI技术相结合的新范式，为在不同规模的汽车工厂中实施提供了可扩展性。