A UNIFIED SIMULATION-BASED OPTIMIZATION FRAMEWORK WITH INTEGRATED MACHINE LEARNING
针对复杂制造系统，提出了一个集成机器学习的统一仿真优化框架，涵盖建模、仿真、优化和机器学习机制，旨在提升系统效率。
With the advancement of information technology, more and more data are being collected to monitor the operation of manufacturing systems. This has provided a material foundation for applying real-time simulation-based optimization to improve the efficiency of complex manufacturing systems. In order to facilitate effective implementation of simulation-based optimization, in this paper, a unified framework for modeling, simulating and optimizing complex dynamic manufacturing systems is proposed. The modeling method, the simulation, optimization and machine learning mechanisms are investigated and presented.