A Lightweight Model-driven MES Simulation Framework Based On Probabilistic Finite Automata

In recent years, the concept of digital twin was introduced to the field of intelligent manufacturing. People use simulation technologies to complete the process of physical equipment in virtual space. As the manager of production process data, MES system is an important basis of digital twin in industrial production. Current MES systems are mostly developed for specific domains, often for large enterprises, with high coupling and poor scalability, which are difficult to be applied to smaller production enterprises with low informationization degree. In this paper, we propose a lightweight model-driven MES simulation framework that uses probabilistic finite automata to form a fast modeling for factory as well as to generate production data, and achieves a highly flexible production process simulation through config files; the framework could also be used to build a real MES system for small and medium-sized production enterprises.