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Toward an Enterprise Architecture for a Digital Systems Engineering Ecosystem

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Recent Trends and Advances in Model Based Systems Engineering

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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Correspondence to Yaniv Mordecai .

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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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  • DOI: https://doi.org/10.1007/978-3-030-82083-1_55

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