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Syndeia 3.0 offers a new option for a DOORS NG interface for MagicDraw and Rhapsody SysML modeling tools. The integration of requirements databases with system architecture modeling (SysML) is of high value to the practitioners in the field of MBE/MBSE. Although several solutions have been offered in the past, they address only the basic use case(s). Syndeia

Since its introduction, Syndeia has supported Model-Based Engineering (MBE). Syndeia has enabled users to create connections between models in different tools and to use those connections to compare and update those models, but it has only displayed the connections in simple tabular formats. Syndeia 3.0 provides some important new options for visualizing the model connections.

Are you a systems engineer that wants to be able to see a CAD model or check out the system-level impact of design changes? Maybe you’re a CAD designer who wants to receive requirements in a clearer, more efficient format? Interfacing SysML and CAD models covers a myriad of potential use cases. Syndeia 2.0 introduced

One area in the biomedical and healthcare domain where MBSE has made significant progress is in medical device design and manufacture. At the same time, device suppliers use modern PLM (product lifecycle management) and CAD (computer-aided design) like other organizations engaged in complex engineering problems. The first figure below shows the SysML structural decomposition of

This blog post introduces the second installment in our series of notes outlining different scenarios for using Syndeia 2.0 to generate, connect, and compare Simulink and SysML models. Part 1 showed how SysML block and activity structures can be used to generate Simulink model reference structures, including both atomic and multi-signal ports. Part 2 will describe how

Efficiency in healthcare delivery has long been a target of systems engineering and operations analysis effort. Improvements in emergency room care, for example, can lead to better outcomes and better patient experience while reducing the cost of care. In this post, we apply simple parametric analysis to testing medical facility staffing and supply against requirements,