3DS Blog

Ford’s chassis engineering team relied on siloed CAD, simulation and reporting tools that required manual file transfers and version management throughout development. As design iterations increased, engineers spent valuable time coordinating CAD updates, managing fragmented data and ensuring simulation results matched the correct design revision. The disconnected workflow slowed collaboration, limited design exploration and increased the risk of costly engineering errors.

As products become more sophisticated, engineering organizations face a growing challenge: maintaining consistent design methods while giving engineers the flexibility they need to innovate. For global manufacturers, this challenge becomes even greater when multiple development sites, disciplines and product lines must work together seamlessly. For Joachim Humberg, IT Application Analyst at Geberit, finding that balance is part of his daily mission.

Your plant manager in Monterrey gets the call on a Thursday afternoon. Corporate wants the new product line running in 90 days, and your existing Manufacturing Execution System (MES) can’t handle the routing changes without a development sprint. IT estimates six weeks of custom coding, two weeks of regression testing and another week of User Acceptance Testing (UAT). That’s nine weeks just to change how parts flow through three workstations.

For motorsport engineers, surface modeling isn’t simply about creating the right shape. The quality of the underlying surface can dramatically influence everything that follows, from meshing for aerodynamic analysis to composite design and production. For Daniel Vass, a design engineering consultant and founder of Origin Engineering, this is where CATIA ICEM Design Experience (IDX) introduces a fundamentally different approach to surface modeling.

For engineering and product lifecycle management (PLM) teams, ENOVIA remains a key platform for driving collaboration, efficiency and innovation. With each release, it evolves to meet the changing needs of engineering organizations, introducing a rich collection of capabilities that improve how global teams work together and bring new ideas to life.

For organizations developing complex aerospace and defense systems, model-based systems engineering (MBSE) can provide a way to bring requirements, architecture, interfaces, behavior and other engineering information into one connected environment. But adopting MBSE is not simply a matter of selecting a tool and starting to build models. Organizations also need a strategy for implementation, a clear understanding of what they want to achieve, and tools that engineers can work with effectively.

In the fast-moving high-tech and consumer electronics sector, operational predictability has become the critical competitive advantage. High-tech manufacturers—spanning semiconductor fabrication, printed circuit board (PCB) assembly, telecom equipment and smart devices, operate under intense pressure.

※本記事は、Dassault Systèmes Blog（英語版）に掲載された記事「AEC Summit 2026: An exceptional edition where Construction industry meets Industrial AI」の日本語訳です。 建設業界の変革を牽引するリーダーたちが、ダッソー・システムズ本社で開催された「AEC Summit 2026」に集結。最新の知見を共有し、参加者同士の交流を深めながら、建設業界のデジタルトランスフォーメーションの未来を探りました。 バーチャル・コンストラクション・ツインの活用により、建設に関する知識やノウハウのバーチャル化が進み、持続可能な成長に向けた新たな可能性が広がっています。さらに、AIやプロダクト化（モジュラー化）の進展によって、設計から施工、運用に至るまで、業界全体で知識やノウハウを共有・活用する方法も大きく変わろうとしています。 こうした変革を背景に開催されたAEC Summit...

Model-based systems engineering (MBSE) is often presented as a way to improve traceability, accuracy and efficiency. But moving large volumes of existing engineering information into a model can create a significant practical challenge. David Fields, President, co-founder and Chief Technology Officer of Enola Technologies, has seen that challenge firsthand.

The C&SI Partner Awards 2026 celebrate Dassault Systèmes Consulting & System Integrator partners whose 2025 achievements helped industrial companies accelerate transformation with the 3DEXPERIENCE platform. This year’s recognition highlights partner impact across SaaS transformation, skills development, supply chain planning, manufacturing operations and digital manufacturing.