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Digital Engineering De-coded

Digital Engineering De-coded: Illuminating the Future of Engineering

Posts 1 - 10 of 17

Part 4: Getting Started with Digital Engineering: Beyond Just Tools

When we launched Digital Engineering De-coded, our goal was simple: move beyond buzzwords and share practical patterns that help engineering teams solve real problems.
This four-part series follows… 続きを読む >>

Part 3: When Digital Engineering Delivers: From Models to Evidence

When we launched Digital Engineering De-coded, our goal was simple: move beyond buzzwords and share practical patterns that help engineering teams solve real problems.
This four-part series follows… 続きを読む >>

Part 2: How Digital Engineering Scales: Where Ad Hoc Workflows Fail

When we launched Digital Engineering De-coded, our goal was simple: move beyond buzzwords and share practical patterns that help engineering teams solve real problems.
This four-part series follows… 続きを読む >>

Part 1: Why Digital Engineering Matters: Real Examples, Real ROI

When we launched Digital Engineering De-coded, our goal was simple: move beyond buzzwords and share practical patterns that help engineering teams solve real problems.
This four-part series follows… 続きを読む >>

Beyond Tools: Building the Skills Engineers Need for AI-Enabled Digital Engineering

Why do some digital engineering initiatives scale while others stall? The difference is often not technology, but workforce capability. Our survey of aerospace and defense engineers found that many… 続きを読む >>

The Real ROI of Simulation: Preventing Errors Before They Exist

In my previous blogs, I’ve emphasized the importance of simulation for early verification as the key ROI of Digital Engineering.
I’ll be honest up front; this is a lie.
But not for the reasons you… 続きを読む >>

From Models to Binaries: Where the Software Bill of Materials Fits in the Digital Thread 1

In brief: This article explains why an SBOM is more useful when it is treated as part of the engineering workflow, not only as a release-time compliance artifact. It looks at where SBOM fits... 続きを読む >>

Automatic Code Generation: The Unbroken Link in the Digital Thread

Model Testing Dashboard

Digital engineering is getting a lot of attention right now and for good reason. Teams across aerospace, defense, automotive, and industrial sectors are investing heavily in model‑based approaches,… 続きを読む >>

You Would Not Trust a Human Without Evidence. Why Trust an AI Agent?

Figure 1: Traceability from Requirements to executable models, tests, and generated code.

Verification, standards, and the role of executable models in digital engineering
Trust Is Proven, Not Assumed
In the industries our customers operate in, including aerospace and defense, automotive,… 続きを読む >>

Why MBSE Still Breaks at the Seams and How SysML v2 Could Help

Model-Based Systems Engineering (MBSE) promises better decisions, stronger traceability, and clearer alignment across teams. But in many organizations, the day-to-day reality still feels fragmented…. 続きを読む >>

Posts 1 - 10 of 17

これらの投稿は著者に属するものであり、必ずしも MathWorks の見解を示すものではありません。