Simulation Intelligence and Modeling for Manufacturing Uncertainties

The realistic simulation modeling becomes very essential and effective for designing and managing of manufacturing systems, which needs to be addressed in manufacturing dynamics. This research includes manufacturing uncertainties in the form of simulation intelligence to improve the system´s performance in the high-mix low-volume manufacturing systems. It shows how simulation modeling can be used to evaluate alternative designs in a dynamic uncertain manufacturing environment. Fuzzy rule based machine, labor and logistics uncertainties are addressed in this study. A combination of product mix and production volume is analyzed using intelligent simulation model for an optimal designing of the production system to meet future customer demands. Intelligent knowledge system shows significance close to real-life scenarios. The proposed intelligent simulation modeling is validated with real life application