digital engineering

Each Syndeia release includes new tool integrations. In the Syndeia 3.6 release, these are the system architecture modeling tool GENESYS from Vitech and the Zuken ECAD data management repositories DS-CR and DS-E3. Check here for a complete list of thirty integrated tools with version compatibility. Full Syndeia integrations offer a variety of important features. First,

As part of the release of Syndeia 3.6, we are releasing a series of blog posts highlighting the new features supporting practical implementation of digital threads in system development. In the most recent posts in this series, we have been reviewing new analysis and reporting capabilities in the Syndeia Web Browser. One additional capability is

In this blog series, we continue our series on new analytical and reporting capabilities in Syndeia 3.6 for the Syndeia Web Dashboard. Graph analysis has been a key piece of Syndeia for several years. Users could enter queries for their digital thread and get real-time answers about relationships between model elements, even when the project

As part of the release of Syndeia 3.6, we are publishing a series of blog posts highlighting the new features supporting practical implementation of digital threads in system development. In Part 1, we introduced the concept of Digital Thread Projects (DTP) and the three levels of security (Global, Repository and Project).  The objective is that

Intercax is excited to announce the release of Syndeia 3.6. Over the next several weeks, we will be releasing a series of blog posts highlighting the new features that will accelerate concurrent digital engineering for mission-critical products and systems, all powered by enterprise-scale digital threads. Security is as critical as accessibility in implementing digital engineering.

The ultimate objective of this activity is Completion, the extent to which all desired characteristics of the digital thread have been realized. As a metric, Completion is strongly correlated with project Schedule, but it is also an indicator of project Risk. Completed segments of the digital thread represent a reduced technical risk of unexpected problems

The consideration of complexity concerning digital threads is a matter of both good and bad news. The literature on digital complexity metrics is rich with detailed algorithms for graphs and software code, many already available in Python and Gremlin libraries applicable to our demonstration example. On the other hand, the relevance of these to project

While this blog series focuses on the general concept of critical metrics for digital threads, we will illustrate these with actual examples. Commercial and open-source tools are available now to put these ideas into practice. For our example, we need a set of Data Sources, a Data Consumer to calculate and display the critical metrics,