Exploring Data Science in Manufacturing Processes: Current Trends, Challenges, and Future Directions
This review presents a structured analysis of data modeling techniques for manufacturing applications, with emphasis on data generation, sampling, preprocessing, and modeling approaches across diverse operational regimes, including steady, transient, and generative processes.