This article examines the changing dynamics of quality management in the automotive sector, highlighting the use of sophisticated approaches and technology to attain operational excellence. It analyses the implementation of standards such as IATF 16949:2016, the function of tools like FMEA and QRQC, and the influence of agile and data-driven methodologies on quality assurance. The research underscores the importance of Zero-Defect, Manufacturing and continuous improvement methodologies, such as DMAIC and Kaizen, in cultivating a culture of excellence. It examines the application of artificial intelligence and digital technologies in defect identification and predictive maintenance. The study emphasises the significance of supplier collaboration, lean production processes, and staff involvement in maintaining high-quality results in automotive manufacturing through an extensive review of literature and case studies.
Bogorin-Predescu et al. (Wed,) studied this question.
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