
Digital Engineering in the Strategic Organization
This paper explores the integration of Digital Engineering within strategic organizational context, referencing Department of Defense policy guidance for defense acquisitions. Government priorities reflect an industry-wide shift toward more sophisticated practices that leverage Digital Twin virtualization and model-based work methods. The study reveals how these technologies not only enhance design and testing phases but also extend their benefits to maintenance and operational stages, thereby supporting sustainable system lifecycle management.
The research problem addressed is the underutilization and integration challenges of Digital Engineering in organizational structures that could otherwise benefit from a more comprehensive understanding of the discipline as a key enabler for operational excellence and innovation. The study hypothesizes that a systematic adoption of Digital Engineering will significantly streamline product development, reduce costs, and enhance preparedness for impending disruptions.
Using qualitative analysis, the research draws on a range of sources to examine practices associated with Digital Engineering and how they coalesce into a unified perspective. Methods include a literature review and case studies from government, academia, and industry to evaluate the application and outcomes of Digital Engineering methodologies. The implications of this study suggest that for Digital Engineering to be successfully integrated and yield the anticipated benefits, organizations must adopt a holistic approach that includes leadership commitment and strategic alignment. The research highlights the critical role of Enterprise Architecture, which supports a proposed Adaptable Integration Framework as a structured, multi-dimensional approach for effective implementation.
Files
Metadata
Work Title | Digital Engineering in the Strategic Organization |
---|---|
Access | |
Creators |
|
Keyword |
|
License | CC BY-NC-ND 4.0 (Attribution-NonCommercial-NoDerivatives) |
Work Type | Research Paper |
Publication Date | April 28, 2024 |
Deposited | April 26, 2024 |
Versions
Analytics
Collections
This resource is currently not in any collection.