The implementation of intelligent manufacturing systems requires a comprehensive understanding of the system and its environment. Modeling and simulation is critical to this understanding. Models are typically from one of five perspectives or views. A static model is used to understand an enterprise or a system, and simulation is used for dynamic analysis. Typically, most projects do not consider the need for both a static and a dynamic model of a system.
Most enterprises develop and even maintain multiple types of models for different purposes.
If a single model can be used to drive other modeling purposes, then model maintenance and development could be reduced. A goal of this research is to achieve a master model of the system. Issues related to the inconsistencies encountered in modeling these views will be presented. Examples will be provided demonstrating these issues. A methodology for resolving these issues will also be presented.