In response to manpower shortages, low efficiency, and fluctuations in demand of small and medium-sized manufacturing companies, the importance of digital twinning and simulation is increasing along with the spread of smart factories. Industrial simul...
In response to manpower shortages, low efficiency, and fluctuations in demand of small and medium-sized manufacturing companies, the importance of digital twinning and simulation is increasing along with the spread of smart factories. Industrial simulators specialized in the manufacturing sector provide user convenience functions like virtual commissioning, but due to the low efficiency calculation function, it is difficult to repeatedly analyze multiple scenarios. To solve this problem, this paper proposes a hybrid analysis method based on combining DEVS-based simulators and industrial simulators for efficient simulation analysis. In the proposed method, the DEVS-based simulator performs preemptive search-based candidate optimal scenario set derivation in multiple scenarios, and the industrial simulator expands the analysis function to the subsequent optimal scenario precise search and spatial-based in-depth analysis. In the clothing production microfactory demonstration environment, the proposed method reduced the simulation analysis time per scenario by more than 10 times with about 99% accuracy, and suggested the possibility of expansion through precise analysis in a three-dimensional space. It is expected that this study will be able to increase the efficiency of simulation analysis and enhance industrial competitiveness.