Model Based Systems Engineering (MBSE) is now widely accepted throughout the industry, from commercial to aerospace and defense. However, while we understand and accept the principles of MBSE, successful adoption and implementation is still a challenge within the industry. The migration from document‐based systems engineering processes to MBSE requires more than purchasing tools and a one‐week course on Systems Modeling Language (SysML). MBSE does not change the practice of Systems Engineering as defined in the INCOSE SE Handbook or ISO/IEEE 15288, but it does affect the way in which systems engineering processes are implemented and supported within and across organizations. Organizations adopting MBSE must address issues such as new skill and competency requirements for systems engineers, model and data management over the lifecycle of the system, and integration with other engineering tools and processes, among others. It is not a tool problem or a modeler problem. It is an enterprise problem and requires an enterprise approach. The approach must be defined and guided by an enterprise architecture, which is broader than just the engineering tools and their interfaces. It includes the enterprise strategic vision, capabilities, operational concepts, organizations, and material solutions required to achieve MBSE adoption, how they relate to one another, and their evolution over time. This paper provides a broad overview of the fundamentals of MBSE adoption and the broader effort of digital engineering transformation, presenting the digital engineering environment as a system‐of‐systems. It presents the use of enterprise architecture as a roadmap for MBSE adoption within the industry.
The objective of this paper is to show how a system composed of many individually designed and manufactured components each with independent descriptive and analytical models of varying definition can be developed and managed by an integrated systems model. Typical engineering design methods require the engineering team to manually coordinate and integrate the engineering domains: electrical, hydraulic, mechanical, software, etc. This effort can take an inordinate amount of time and resources and is rife with errors, which inevitably lead to specification issues. Model-based system engineering (MBSE) is a method used extensively in the military and aerospace industries to reduce component integration and system development time for complex systems. This paper examines methods used to integrate the component models during development of a design for a subsea system. The authors describe the application of a commercially available MBSE toolset extended to integrate with analytical physics based design software. The challenges, advantages, disadvantages, and suggested improvements for integrating the models are explored. The authors discuss how their process supports the domains of system engineering including: requirements, behavior, physical architectures and verification strategies, and how this intimately aligns with the typical engineering domains. Finally, the authors discuss the development of an application programming interface (API) to integrate the models and manage the transfer of data between disparate software tool sets and provide suggestions for future projects of similar complexity. The paper discusses how the methods applied reduce duplicate work and specification errors, achieving a reduction in rework, and ultimately, development time and cost. The MBSE methodology has not typically been applied broadly in energy. This paper highlights a successful deployment of MBSE covering early stages of conceptual design to manufacturing. The API developed to permit seamless integration of multiple systems engineering development tools is unique for this type of application. The interoperability between development tools is highly sought after in the engineering community and enables many advanced capabilities for development teams. Some of these capabilities include: end-to-end traceability, automated model development, automated design verification, and automated document generation and design specification.
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