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A Holonic-Based Self-Learning Mechanism for Energy-Predictive Planning in Machining Processes
2019
Processes
The present work proposes a holonic-based mechanism for self-learning factories based on a hybrid learning approach. The self-learning factory is a manufacturing system that gains predictive capability by machine self-learning, and thus automatically anticipates the performance results during the process planning phase through learning from past experience. The system mechanism, including a modeling method, architecture, and operational procedure, is structured to agentize machines and
doi:10.3390/pr7100739
fatcat:3brzqbqmyzea5ildskuildrq2m