Research on flexibility of production system based on hybrid modeling and simulation

In order to analyze the influence of the personnel flexibility on the flexibility of the production system and optimize the organization and configuration of the production system, this paper puts forward a flexible simulation study of production system personnel based on mixed modeling. Firstly, the flexible evaluation index of production system is constructed from four dimensions: machine utilization ratio, personnel utilization ratio, production and personnel production efficiency. The concrete calculation method is given accordingly. Secondly, the simulation model of discrete event-multibody mixed modeling in production system is established, and the construction principle of the model is given. Thirdly, based on the flexible evaluation index and mixed modeling method, the flexible personnel skills of a motorcycle engine key parts production system are simulated and analyzed, and the comparative analysis of multiple schemes is realized. The simulation results show that multi-energy and personnel cooperation have an important influence on the flexibility of production system. In the medium and large fluctuation production environment, compared with the professional production team, the flexibility of the four dimensions of machine utilization, personnel utilization, production and personnel production efficiency of the multi -energy production team has been significantly improved. The case study also shows that the hybrid modeling simulation model can realize the dynamic configuration and operation evaluation of the flexible personnel elements, and provide a dynamic and quantitative research method for the organizational optimization of the production system.

Automated summary

This paper proposes a flexible simulation study of production system personnel based on mixed modeling to analyze the influence of personnel flexibility on the flexibility of the production system. The study establishes flexible evaluation index and simulation model to optimize the organization and configuration of the production system. Findings reveal that multi-energy and personnel cooperation significantly impact the flexibility of the production system, with multi-energy production teams showing improved flexibility in various dimensions compared to professional production teams in fluctuating production environments.