Abstract
The digital transformation era is upon us. Digital transformation gradually crawls up the value chain from services and manufacturing to product design and systems engineering. In this paper, we envision a cloud-based ecosystem of systems engineering, which is model-based by definition. The ecosystem model we propose is called 2MIDSTARs, which stands for Model, Infrastructure, Data Services, Simulation, Testing, Analysis, and Repositories + Management, Interoperability, Digital Representation, System, Technology, Audit, and Reporting. The first MIDSTAR covers the intrinsic, core MBSE capabilities, while the second MIDSTAR facilitates the integration with the digital enterprise that surrounds the digital systems engineering ecosystem. In this paper, we explain the importance of jointly considering all these elements together and outline the key roles and functionalities of each component.
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Abbreviations
- DSEE:
-
Digital systems engineering ecosystem/enterprise
- IoT:
-
Internet of Things
- MBSE:
-
Model-based systems engineering
- MIDSTAR(1):
-
Modeling Services, Infrastructure Services, Data Services, Simulation Services, Testing Services, Analysis Services, Repositories
- MIDSTAR(2):
-
Management Tools, Interoperability Services, Digital Representations, Systems, Things, Auditing, and Reporting Services
- OPD:
-
Object-Process Diagram
- OPM:
-
Object-Process Methodology
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Acknowledgments
We thank the MIT–Technion Post-Doctoral Fellowship Program for funding this research. We also thank the anonymous reviewers for their useful comments and suggestions.
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Mordecai, Y., de Weck, O.L., Crawley, E.F. (2022). Toward an Enterprise Architecture for a Digital Systems Engineering Ecosystem. In: Madni, A.M., Boehm, B., Erwin, D., Moghaddam, M., Sievers, M., Wheaton, M. (eds) Recent Trends and Advances in Model Based Systems Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-82083-1_55
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