1. János Antal Sánta, Imerys Kiln Furniture Hungary, Country Finance manager, Szeged, Hungary, Hungary
2. Gyula Mester, University of Szeged – Faculty of Engineering, Institute of Technology, Szeged, Hungary , Hungary
While numerous enterprises struggle to identify practical implementations for Artificial Intelligence, executive optimism remains significant, with approximately 50% of management anticipating major advancements within a three-year horizon. When strategically embedded within corporate frameworks, AI possesses the capacity to bolster operational output and refine quality across various functions. Synergizing AI with the rigorous, empirical framework of Six Sigma accelerates the deployment of quality enhancement protocols aimed at eradicating flaws and mitigating process fluctuations. The current research utilizes empirical data from a manufacturing firm to evaluate the relationship between output volume and specific variables contributing to production instability. Within moments, AI delivered a comprehensive assessment, providing not only the correlation results mandated by Six Sigma standards but also identifying potential underlying factors for the observed discrepancies. We would like to encourage professionals to involve Artificial Intelligence in their complex data analyses, and in the same time encourage companies to make the usage of Artificial Intelligence accessible. These AI-driven computations are considered entirely dependable and have undergone thorough validation.manually. For entirely practical reasons we used Gemini, as we have the google user licence which protects our data from being used by Gemini for further development.
Ključne reči :
Tematska oblast:
SIMPOZIJUM D - Ekološki održivi materijali
Datum:
15.07.2026.
Contemporary Materials 2026 - Savremeni Materijali
