XIV International Conference on Industrial Engineering and Environmental Protection – IIZS 2024, str. 478-486
АУТОР / AUTHOR(S): Dragan Ćoćkalo , Mihalj Bakator , Milan Nikolić , Sanja Stanisavljev , Verica Gluvakov
DOI: 10.46793/IIZS24.478C
САЖЕТАК / ABSTRACT:
This paper analyzes the integration of Artificial Intelligence (AI) and Big Data into quality management systems to improve sustainability and business competitiveness. AI technologies, such as predictive analytics, automated quality inspections, and process optimization, combined with Big Data analytics, enable businesses to proactively manage quality and sustainability. The study focuses on developing a theoretical model that integrates AI and Big Data within quality management frameworks to improve environmental and social performance alongside product and service quality. Key strategies include investing in sustainable technologies, supporting a culture of continuous improvement, and implementing robust data governance practices. Challenges identified include technical complexities, data integration issues, and ethical concerns, which are mitigated through regulatory support, education initiatives, and collaboration among stakeholders. Businesses and individuals play important roles by adopting sustainable practices and leveraging technology for quality improvements. This study provides a framework for future advancements in quality management and sustainability through the effective use of AI and Big Data.
КЉУЧНЕ РЕЧИ / KEYWORDS:
Sustainability, AI, Big data, quality management systems
ПРОЈЕКАТ/ ACKNOWLEDGEMENTS:
paper has been supported by the Provincial Secretariat for Higher Education and Scientific Research of the Autonomous Province of Vojvodina, number: 142-451-2963/2023-01.
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