Modeling and code generation for intelligent workshop production logistics based on MBSE

Xuguang Niu; Yibing Zhao; Yaoqin Zhu

doi:10.1117/12.3049914

11 December 2024 Modeling and code generation for intelligent workshop production logistics based on MBSE

Xuguang Niu, Yibing Zhao, Yaoqin Zhu

Author Affiliations +

Proceedings Volume 13441, International Conference on Cloud Computing and Communication Engineering (CCCE 2024); 1344104 (2024) https://doi.org/10.1117/12.3049914
Event: International Conference on Cloud Computing and Communication Engineering (CCCE 2024), 2024, Nanjing, China

Abstract

Intelligent workshops have become one of the hotspots in current manufacturing industry. Production logistics simulation technology in intelligent workshops can proactively identify potential issues. Entities within the workshop, such as production and logistics entities, comprise the workshop, utilizing the MBSE method and SysML modeling language for modeling. The structure and behavior of entities within the workshop are modeled based on BDD and STM. The workshop's structure and processes are modeled using BDD, IBD and SD. Instances in BDD are used to instantiate workshop components. Through template-based code generation, the SysML-based intelligent workshop production logistics model is automatically transformed into executable code, which is then simulated and run. The results demonstrate the feasibility of the SysML-based unified approach: Compared with the commercial software FlexSim, the outcomes are favorable.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xuguang Niu, Yibing Zhao, and Yaoqin Zhu "Modeling and code generation for intelligent workshop production logistics based on MBSE", Proc. SPIE 13441, International Conference on Cloud Computing and Communication Engineering (CCCE 2024), 1344104 (11 December 2024); https://doi.org/10.1117/12.3049914

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