Smart Factory

Smart factories leverage advanced technologies to optimize manufacturing processes and enhance efficiency, primarily focusing on improving production planning, predictive maintenance, and human-robot collaboration. Current research emphasizes the development and application of machine learning models, including knowledge distillation for efficient wearable sensor data analysis, multi-objective metaheuristics for scheduling in mass customization, and reinforcement learning for multi-robot coordination. These advancements aim to create more agile, flexible, and data-driven manufacturing environments, impacting both the development of new machine learning algorithms and the practical implementation of Industry 4.0 principles.