Title:
Towards a Framework for Modeling and Simulating Complex Enterprises: The Case of an Academic Research Laboratory
Towards a Framework for Modeling and Simulating Complex Enterprises: The Case of an Academic Research Laboratory
Author(s)
Lepez Da Silva Duarte, Noe
Fischer, Olivia J. Pinion
Mavris, Dimitri N.
Fischer, Olivia J. Pinion
Mavris, Dimitri N.
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Abstract
This paper presents an initial exploration into a comprehensive, reusable, and scalable approach to enterprise architecture modeling and simulation, with a significant emphasis on the use of SysML. Through a case study of a large academic research laboratory, the research delineates the application of UAF and SysML models with diverse simulation methodologies, prioritizing the seamless transfer and enhanced visualization of SysML model data. A key contribution of this study is the incorporation of ontologies and graph databases through Neo4j, offering a robust framework for representing and querying complex SysML data. By juxtaposing traditional tools, such as SimPy, with Neo4j, the research underscores the effectiveness of graph databases in presenting a clearer, more intuitive visualization. While the presented simulation serves primarily as a proof-of-concept, it sheds light on the complexities of enterprise dynamics. The potential for richer, more detailed simulations that harness the full capability of these tools beckons further exploration in subsequent research endeavors.
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Date Issued
2024-01
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Text
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Post-print