A UNIFIED SIMULATION-BASED OPTIMIZATION WITH INTERPRETATIONAL MACHINE LEARNING

Abstract

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.