SHS Web of Conferences, Journal Year: 2024, Volume and Issue: 207, P. 03015 - 03015
Published: Jan. 1, 2024
With the advancement of Industry 4.0, manufacturing industry is working to create a new smart industrial world through computerization, digitization and intelligence enhancement. Gen AI primarily characterized by its ability generate novel data patterns solutions rather than merely analyzing predefined inputs. This paper explores transformative impact on supply chain efficiency in engineering logistics. Key applications include inventory optimization, predictive maintenance, fraud detection, risk management, logistics demand forecasting. The study shows that significantly improves operational reduces stress for workers providing dynamic data-driven solutions. Through real-world case studies, including companies, this demonstrates how can revolutionize management increase productivity. Despite significant benefits, still faces several challenges due cutting-edge nature. Further, in-depth research needed future as number relevant cases literature increases.
Language: Английский