PLM news, announcements and industry trends.

Autodesk · Oct 31, 2026

CAD, CAE & Simulation

Developer hubs Sign in Solutions Solutions Online ViewerBuild a viewer that converts and displays models on a browser Photo to 3DBuild an application to convert photos to 3D file AEC Data Model (New)Enable granular access to AEC design data stored in the cloud Autodesk FormaExplore developer tools for the industry cloud for AECO Autodesk FusionIntegrate and innovate with the Autodesk Fusion industry cloud AutomationRun automation scripts for design and make BIM 360Build apps and custom integrations for the construction industry BuildingConnected APIAccess BuildingConnected Pro and Bid Board Pro data Data Exchange (New)Connect and access subsets of design data in your app of choice Data ManagementAccess and manage files and data in Autodesk cloud storage Data VisualizationVisualize heatmaps and sprites with custom data Flow Graph Engine APICustom compute services for media & entertainment Informed Design APIExtend and automate workflows from Informed Design Manufacturing Data ModelRead, write, and extend manufacturing design data Model DerivativeExtract data and convert file format of 2D or 3D models Parameters APIStreamline data flows using the same parameters in any design tool Reality CaptureCreate 3D models, orthophotos, and laser scans with photos Sustainability Data APIIntegrate trusted sustainability data into your applications Tandem Data APIEnable read and write access to the Tandem database Token FlexToken Flex customers: Access your token usage data Vault Data APIsExtend Vault real-time data access ViewerView and navigate through complex 2D and 3D models WebhooksReceive event notifications from Autodesk Web Services Getting Started Documentation Documentation APIs & SDKs Code Samples Success Stories Community Community Blog Events Accelerator Lightning Talks Solutions Showcase Certified Partners Developer Programs DevCon 2027 Join Research Community APS Roadmap Data Roadmaps Support Support API Status Get Help FAQ Pricing Marketplace Marketplace Overview Publisher Center Visit the Marketplace AEC Data Model API price changes are now live. At Autodesk University 2026 we gave you a first look at the next major version of APS Viewer. Today, the first v8 preview build is available for everyone, side by side with v7, so you can start exploring it in your own applications. Version 8 is the biggest step the Viewer has taken in years. It renders with WebGPU, loads every model through the Large Model Experience pipeline, and replaces three.js with the new Scene API, which lets you embed custom 3D content as well as read geometry and material data of models loaded from our platform. It's also the first release under a new, predictable rollout model: a three-month public preview, a fixed switch-over date, and a clear support window for the previous version. In this post, we'll walk through what's new, what the timeline looks like, and how you can start testing today. How to get the preview The preview is published alongside v7 and you load it the same way, just with different file names: ``` ``` The file names look a little odd: the preview lives under the `7.` path and carries a `-v8` suffix. That's intentional. The v8 changes are part of the v7 codebase, so we kept the preview in the same place instead of creating a separate version path. When v8 reaches general availability, it will be available through the standard `/viewers/8.` URL path. Nothing about your existing v7 deployment changes when you try the preview. Your current script and stylesheet URLs keep working as before. The preview is API-stable; from here until the general availability release we'll only ship bug fixes and non-breaking additions, so anything you port now will keep working at GA. What's new in v8 Here's a summary of the changes we announced at AU. WebGPU rendering v8 renders with WebGPU, and the WebGPU pipeline is what every feature in v8 is built and tested against. In practice this means a more consistent frame rate on large models and a modern foundation for the rendering features we have planned. WebGL is still there, but only as a fallback for users whose hardware doesn't support WebGPU. As an application developer, you can still force the Viewer to use WebGL; your users can't. It's already considered a deprecated feature, though. Think of it as a safety net for when WebGPU doesn't work, or when capability gaps that we can't close during the preview phase prevent you from migrating. Large Model Experience, always on The Large Model Experience has been available in v7 as an opt-in setting since 2024. In v8 it's the only loading pipeline: faster loading, caching, and smooth navigation without mesh popping, with no toggle and no legacy fallback, including on mobile. If you've been running with LME switched on in v7, you're already there. If you haven't, the main thing to check is that your code is comfortable with streamed loading: geometry arrives progressively, and objects can finish loading in a different order than before. Secure context required v8 requires a secure context, which means HTTPS (or `localhost` during development). This is less of a change than it sounds. WebGPU and OPFS, which v8 depends on, are only available in secure contexts anyway, and v7 has been logging deprecation warnings about plain HTTP for a while. If your app already runs on HTTPS, there's nothing to do here. Scene API instead of three.js In August we introduced the Scene API: one documented, typed API for creating and manipulating 3D content, replacing the `THREE.` objects you had to reach for through overlays, the Scene Builder extension, or `viewer.impl`. In v7 it sits behind a feature flag. In v8 it is the public API. Concretely: • three.js objects are no longer exposed in the public API. • Overlays and `Autodesk.Viewing.SceneBuilder` are replaced by render layers and InstanceCollection3D. • Only functionality documented in the reference guide is supported. Anything outside of it, including internals you may have reached for through `viewer.impl`, can change without notice, so stick to the documented API. The good news is that the Scene API is available in v7 today, so you can port your custom geometry code first, verify it against v7, and then switch versions. Retired extensions v8 removes a set of extensions. Some of them are documented and may be in use in your applications; the rest were never publicly documented. Check the list below against the extensions your app loads. Documented extensions • `Autodesk.FullScreen` • `Autodesk.BIM360.GestureDocumentNavigation` • `Autodesk.NPR` • `Autodesk.Viewing.SceneBuilder`: replaced by the Scene API (see above) • `Autodesk.DataVisualization`: we're planning to add general support for heatmaps to the SDK Extensions that were not documented publicly These saw very little use, and it's unlikely your app depends on them. They're listed here for completeness: • `Autodesk.Beeline` • `Autodesk.CAM360` • `Autodesk.DataPersistence` • `Autodesk.DOF` • `Autodesk.Fusion360.Simulation` • `Autodesk.MemoryLimited` • `Autodesk.Viewing.MemoryLimitedDebug` • `Autodesk.MSDF` • `Autodesk.OMV` • `Autodesk.PropertyQuery` • `Autodesk.PropertySearch` • `Autodesk.Scalaris` • `Autodesk.Viewing.ScalarisSimulation` • `Autodesk.ReCap` The new rollout model v8 is also the first release under a new rollout strategy for the Viewer: fewer surprises, and dates you can plan around. | Date | Milestone | | Late October 2026 | v8 preview published alongside v7. API-stable; bug fixes and non-breaking additions until GA. | | February 1st 2027 | v8 becomes the default version. v7 enters its support phase. | | Feb 1st through Jul 31st 2027 | v7 receives security fixes only. No bug fixes; the resolution for a v7 issue is "upgrade to v8". | | July 31st 2027 | v7 end of support. It stays hosted, so pinned URLs keep working, but receives no further fixes. | Going forward, you can expect a new major version roughly once a year, each with a three-month preview before it becomes the default, and a six-month support phase for the previous major. Will my v7 app keep working? Yes. If you load the Viewer from a pinned `7.x` URL, nothing changes on February 1st, and that URL stays hosted after end of support, too. What does change on February 1st is support: from that date, v7 gets security fixes only. That's the main reason to plan your migration during the preview window. If you find an issue in v7 after that date, the fix will land in v8. What should I do now? 1. Load the preview in a test environment and open the browser console to look for warnings and errors. 2. Grep your code for `THREE.`, `viewer.impl`, `viewer.overlays`, and `SceneBuilder`. Those are the spots that move to the Scene API, and you can start porting them today. Make sure you only rely on functionality documented in the reference guide. 3. Check your extension list against the retired extensions above, especially `Autodesk.DataVisualization` if you use sprites or heatmaps. 4. Make sure you serve over HTTPS, if you don't already. 5. Tell us what you find. The preview exists so we can fix issues before GA. Wrapping up You can start testing APS Viewer v8 today, you know exactly when it becomes the default and how long v7 stays supported, and you can port the biggest piece (custom 3D content) against v7 before you even switch versions. Load the preview, open the console, and let us know what you run into at aps.autodesk.com/get-help. Happy building! Resources • APS Viewer v8 preview: `viewer3D-v8.min.js` and `style-v8.min.css` • Introducing the Scene API in APS Viewer • Viewer Performance Update series (SVF2 loading, OPFS caching, smooth navigation) • AU 2026: APS Viewer Reborn (slides and recording) Viewer Announcements 27 Oct 2026 Introducing APS Usage Insights in Autodesk Assistant As more Autodesk Platform Services APIs move to consumption-based pricing, and more API usage comes included with eligible Autodesk product... Announcements Dwanill Mehta Resources Get help on StackOverflow Find a systems integrator Contact Autodesk Platform Services Company overview Careers Investor relations Newsroom Follow APS Twitter Facebook Solutions AEC Data Model Autodesk Forma Autodesk Fusion Automation BIM 360 BuildingConnected API Data Exchange Data Management Data Visualizations Flow Graph Engine API Manufacturing Data Model Model Derivative Reality Capture Sustainability Data API Tandem Data API Token Flex Vault Data APIs Viewer Webhooks Documentation AEC Data Model Authentication Automation BIM 360 Data Exchange Data Management Data Visualizations Flow Graph Engine API Forma APIs Manufacturing Data Model Model Derivative Reality Capture Sustainability Data API Tandem Data API Token Flex Viewer Webhooks Resources Get Help API Status Blog FAQ Marketplace Code Samples ADN Member Sign-in Get in Touch! 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Siemens Digital Industries Software · Oct 31, 2026

CAD, CAE & Simulation · Partnerships & Acquisitions

Siemens today announced significant advances in its collaboration with NVIDIA to accelerate computational lithography workflows. By integrating NVIDIA cuLitho , a CUDA-X library for GPU-accelerated computational lithography, with Calibre® manufacturing software, Siemens is enabling semiconductor manufacturers to overcome the runtime-limited challenges of advanced patterning, making next-generation AI semiconductors a manufacturing reality. The patterning bottleneck challenge As the industry aggressively moves toward leading-edge process nodes, the complexity of lithographic patterning has increased exponentially. Traditional optical proximity correction (OPC) and computational lithography techniques face a "runtime wall." The transition to High-NA EUV and the requirement for advanced curvilinear patterning - such as Inverse Lithography Technology (ILT) - demand massive computational resources. Without acceleration, these essential techniques are often too slow for full-chip, manufacturing-scale deployment, and forcing engineering teams to make trade-offs between optimization depth and project schedules. This creates a risk of lithographic hotspots and reduced process margins, which can impact yield for the most advanced AI compute and memory devices. GPU-accelerated patterning to radically accelerate lithography simulation Siemens and NVIDIA are transforming this challenge into an enabling technology. By delivering at least 10x acceleration for key lithography simulation workloads, the collaboration allows manufacturers to perform more comprehensive optimization and identify potential hotspots before tapeout. “Computational lithography has traditionally been one of the most compute-intensive stages of the design-to-manufacturing flow,” said Ankur Gupta, executive vice president, EDA IC Portfolio, Siemens. “By combining Siemens’ signoff-grade Calibre technology with NVIDIA’s GPU acceleration, we are giving our customers the ability to deploy advanced patterning strategies like curvilinear ILT at scale. This isn't just about speed; it's about enabling the precision required for the next generation of AI infrastructure.” “Next-generation chips are pushing the limits of manufacturing complexity, making computational lithography more critical than ever,” said Tim Costa, vice president and general manager of industrial and computational engineering at NVIDIA. “By bringing NVIDIA cuLitho acceleration to Siemens’ Calibre, we’re enabling engineers to tackle increasingly intricate patterns and explore more extensive optimizations needed to manufacture the world’s most advanced chips.” Measurable value to chip and photomask manufacturers The collaboration provides semiconductor and mask manufacturers with measurable performance gains across critical computational lithography workflows. Verified engineering data supports simulation speed-ups ranging from at least 10x to 17x for key workloads, helping make full-chip curvilinear patterning practical for High-NA EUV production. By reducing simulation runtimes, manufacturers can complete more iterations in less time, identify lithographic hotspots earlier and improve process margins before tapeout. This faster turnaround can also help accelerate manufacturing readiness and support the deployment of new AI silicon. To learn more about Siemens’ advanced semiconductor design and manufacturing solutions, please visit: https://blogs.sw.siemens.com/calibre/2026/10/14/the-virtuous-cycle-of-silicon-how-siemens-is-accelerating-the-era-of-physical-ai-with-nvidia-culitho/ Siemens Digital Industries Software helps organizations of all sizes digitally transform using software, hardware and services from the Siemens Xcelerator business platform. Siemens' software and the comprehensive digital twin enable companies to optimize their design, engineering and manufacturing processes to turn today's ideas into the sustainable products of the future. From chips to entire systems, from product to process, across all industries. Siemens Digital Industries Software – Accelerating transformation. Siemens Digital Industries (DI) empowers companies of all sizes within the process and discrete manufacturing industries to accelerate their digital and sustainability transformation across the entire value chain. Siemens’ cutting-edge automation and software portfolio revolutionizes the design, realization and optimization of products and production. And with Siemens Xcelerator – the open digital business platform – this process is made even easier, faster, and scalable. Together with our partners and ecosystem, Siemens Digital Industries enables customers to become a Digital Enterprise. Siemens Digital Industries has a workforce of around 70,000 people worldwide. Siemens AG (Berlin and Munich) is a leading technology company focused on industry, infrastructure, mobility, and healthcare. The company’s purpose is to create technology to transform the everyday, for everyone. By combining the real and the digital worlds, Siemens empowers customers to accelerate their digital and sustainability transformations, making factories more efficient, cities more livable, and transportation more sustainable. A leader in industrial AI, Siemens leverages its deep domain know-how to apply AI – including generative AI – to real-world applications, making AI accessible and impactful for customers across diverse industries. Siemens also owns a majority stake in the publicly listed company Siemens Healthineers, a leading global medical technology provider pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. In fiscal 2025, which ended on September 30, 2025, the Siemens Group generated revenue of €78.9 billion and net income of €10.4 billion. As of September 30, 2025, the company employed around 318,000 people worldwide on the basis of continuing operations. Further information is available on the Internet at www.siemens.com . Note: A list of relevant Siemens trademarks can be found here . Other trademarks belong to their respective owners. Kontakti medijiem Siemens Digital Industries Software PR Team Email: press.software.sisw@siemens.com Lasīt tālāk Press Release all Siemens and TSMC advance AI-powered semiconductor design automation 2026. gada 23. septembris Press Release all Siemens’ Tessent ecosystem enables direct test pattern execution via PCIe and USB 2026. gada 13. oktobris Press Release all Siemens digital twin technology helps Caponnetto Hueber deliver hydrodynamic innovation for Bluegame BGF45 yacht 2026. gada 29. septembris

Siemens Digital Industries Software · Oct 31, 2026

AI in Product Development · CAD, CAE & Simulation

Siemens today announced an expansion of its EDA agentic AI portfolio, developed in collaboration with NVIDIA. The latest updates combine the self-verifying agentic AI capabilities introduced at DAC 2026 with NVIDIA accelerated computing to address one of advanced packaging's most demanding hurdles: electrical, power, thermal and codesign for 3D ICs. The new capability orchestrates Siemens’ electrothermal analysis portfolio into a single autonomous workflow. By leveraging Siemens’ Design Space Exploration and Optimization (DSE/DSO) technology, the workflow allows engineers to evaluate and validate hundreds of design alternatives against signoff-grade, physics-based solvers. In benchmark studies, this approach reduced engineering effort by up to 95 percent (reducing a multi-week process to a matter of hours), cut workflow setup time by up to 99 percent (typically, less than five minutes versus several days across seven tools) and enabled up to 50x greater design exploration coverage compared to conventional manual flows. "Electrothermal codesign has traditionally required experts to coordinate multiple tools and manually iterate through a limited set of design alternatives," said Ankur Gupta, executive vice president, EDA IC Portfolio, Siemens. "By combining agentic AI with Siemens’ proven physics-based analysis, engineers can now evaluate up to 50 times more design scenarios, enabling faster and more confident decisions for the next generation of AI infrastructure." “Power delivery and heat dissipation increasingly determine what’s possible in 3D chip design,” said Tim Costa, vice president and general manager of industrial and computational engineering at NVIDIA. “With NVIDIA Agent Toolkit and Nemotron-3.5-Lightning, Siemens’ agents coordinate electrical and thermal solvers to deliver up to 50x greater coverage in design space exploration with 95% less engineering effort. By diagnosing how power delivery, die placement and package materials contribute to missed targets, these agents make electrothermal analysis an integral part of chip development.” AI factories are redefining the chip AI factories are redefining what the silicon inside them must deliver: more compute, more memory bandwidth and dramatically improved thermal performance - all within an ever-smaller physical footprint. NVIDIA’s Rubin GPU illustrates this scale, pairing up to 50 petaflops of NVFP4 inference with 288 gigabytes of HBM4 per GPU that scales up into larger co-designed systems such as NVIDIA Vera Rubin NVL72. As compute and memory converge in these tightly integrated packages, power density rises and heat becomes concentrated. Electrothermal codesign can no longer be a late-stage check; it must become a first-order design requirement. The Challenge: Manual complexity Today, solving these challenges requires that specialists manually coordinate workflows across multiple tools, transfer data between domains and repeatedly iterate between electrical, power, thermal and extraction analyses. As complexity increases, engineers are often forced to limit the number of scenarios they evaluate given time and compute constraints, increasing the risk that critical bottlenecks remain undiscovered until late in the design cycle. The Solution: Agentic 3D IC engineering workflow Siemens is introducing a new model. An engineer defines the design objective and the Fuse EDA AI Agent - integrated with Intelligence Center X - orchestrates multiple Siemens tools. The agent runs coupled electrothermal analyses, identifies missed targets and diagnoses whether the root cause lies in power delivery, placement, materials or a combination of all three. The agent uses analysis results to guide design-space exploration, evaluate tradeoffs and rerun promising configurations against the engineer’s targets. This iterative cycle helps teams assess more alternatives and identify power and thermal issues earlier in development. This workflow autonomously orchestrates nine steps across seven of Siemens’ EDA tools, executing 50 to 100 reasoning steps over an 8 to 10 hour runtime. It allows teams to sweep heat transfer coefficient (HTC) boundaries, power budgets and material stack-ups across 200–500+ design points per cycle. The integrated tool chain includes: • Innovator3D IC™ Integrator software: Floor planning and complete 3D IC assembly and package design. • Solido™ Characterizer software: AI-powered library characterization to generate Liberty files. • mPower™ Digital software: Power analysis and temperature-dependent instance power calculation. • Calibre® 3DThermal software: 3D IC thermal signoff and power mapping. • Simcenter™ Flotherm™ software: System-level thermal simulation and visualization. • Calibre® xACT software: Temperature-dependent parasitic extraction. • Solido™ SPICE software: AI-accelerated power and temperature-aware electrical SPICE simulation. Leveraging NVIDIA AI Siemens combines NVIDIA Agent Toolkit with NVIDIA accelerated computing and CUDA-X libraries to support agent-driven engineering workflows. Accelerated simulation tools give agents faster results to evaluate, helping engineers explore more design scenarios within the available time. • Nemotron open models: Used for orchestration and execution of agentic EDA subflows. • NeMo Gym: For tracking agent trajectories, and finding hot spots to refine agent skills and MCP tool descriptions • NeMo RL: For post-training fine-tuning of cost-efficient LLMs with domain-specific EDA knowledge and EDA tool-calling proficiency. • NeMo Relay: Provides observability and auditability across agent harnesses. • NeMo Switchyard: Intelligently routes tasks to balance compute accuracy utilization and token cost. • NVIDIA OpenShell: Securely sandboxes agent execution to protect sensitive intellectual property and foundry PDKs. • NVIDIA CUDA-X libraries: Accelerate supported engineering solvers used by the agents, reducing simulation wait time across iterative design workflows. Availability Additional agentic workflows and capabilities from across the Siemens EDA portfolio - spec-to-RTL signoff with Catapult and Questa, design-for-test with Tessent, RTL-to-GDS with Aprisa and Calibre, and custom IC verification with Solido and Calibre - will be showcased at NVIDIA GTC Berlin . To learn more about Siemens’ agentic EDA workflows, please visit: https://www.siemens.com/en-us/products/fuse-eda-ai-system/agent/ Siemens Digital Industries Software helps organizations of all sizes digitally transform using software, hardware and services from the Siemens Xcelerator business platform. Siemens' software and the comprehensive digital twin enable companies to optimize their design, engineering and manufacturing processes to turn today's ideas into the sustainable products of the future. From chips to entire systems, from product to process, across all industries. Siemens Digital Industries Software – Accelerating transformation. Siemens Digital Industries (DI) empowers companies of all sizes within the process and discrete manufacturing industries to accelerate their digital and sustainability transformation across the entire value chain. Siemens’ cutting-edge automation and software portfolio revolutionizes the design, realization and optimization of products and production. And with Siemens Xcelerator – the open digital business platform – this process is made even easier, faster, and scalable. Together with our partners and ecosystem, Siemens Digital Industries enables customers to become a Digital Enterprise. Siemens Digital Industries has a workforce of around 70,000 people worldwide. Siemens AG (Berlin and Munich) is a leading technology company focused on industry, infrastructure, mobility, and healthcare. The company’s purpose is to create technology to transform the everyday, for everyone. By combining the real and the digital worlds, Siemens empowers customers to accelerate their digital and sustainability transformations, making factories more efficient, cities more livable, and transportation more sustainable. A leader in industrial AI, Siemens leverages its deep domain know-how to apply AI – including generative AI – to real-world applications, making AI accessible and impactful for customers across diverse industries. Siemens also owns a majority stake in the publicly listed company Siemens Healthineers, a leading global medical technology provider pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. In fiscal 2025, which ended on September 30, 2025, the Siemens Group generated revenue of €78.9 billion and net income of €10.4 billion. As of September 30, 2025, the company employed around 318,000 people worldwide on the basis of continuing operations. Further information is available on the Internet at www.siemens.com . Note: A list of relevant Siemens trademarks can be found here . Other trademarks belong to their respective owners. Kontakti medijiem Siemens Digital Industries Software PR Team Email: press.software.sisw@siemens.com Lasīt tālāk Press Release all Siemens and NVIDIA advance AI-powered PCB inspection from Digital Twin to factory 2026. gada 21. oktobris Press Release all Siemens extends next-generation data acquisition portfolio for modern physical testing with Simcenter SCADAS ES 2026. gada 15. oktobris Press Release all Siemens transforms computational lithography for next-generation AI semiconductors with NVIDIA cuLitho 2026. gada 14. oktobris

Dassault Systèmes · Oct 30, 2026

CAD, CAE & Simulation · Partnerships & Acquisitions

PARIS, le 26 octobre 2026 — Dassault Systèmes (Euronext Paris : FR0014003TT8, DSY.PA) et Vertiv Holdings Co. (NYSE : VRT) annoncent leur collaboration visant à permettre la configuration, la simulation et la validation des infrastructures des AI factories avant le démarrage de leur construction. En associant la plateforme agentique 3DEXPERIENCE de Dassault Systèmes à l’expertise de Vertiv en matière d’infrastructures numériques critiques, les deux entreprises entendent réduire la complexité sur site et raccourcir le délai entre le lancement de la conception et la mise en production de capacités d’IA, pour les AI factories NVIDIA DSX. Cette association s’appuie sur le jumeau virtuel configurable Vertiv SmartRun et étend l’approche basée sur les modèles à l’ensemble des solutions d’infrastructure de Vertiv pour les AI factories, dont Vertiv OneCore. La plateforme 3DEXPERIENCE de Dassault Systèmes met à disposition ses capacités d’ingénierie système, de simulation et de jumeaux virtuels pour configurer et valider les architectures de référence SimReady de Vertiv, préconçues pour l’alimentation électrique et le refroidissement des AI factories, conformément à l’architecture de référence NVIDIA Vera Rubin DSX AI Factory et NVIDIA Omniverse DSX Blueprint. Les AI factories sont des systèmes fortement interdépendants, au sein desquels l’alimentation électrique, le refroidissement, le réseau, les systèmes de contrôle et le calcul doivent être conçus de manière conjointe. Toute modification dans un domaine pouvant avoir des répercussions importantes sur les autres. Les ingénieurs doivent donc être en mesure de comprendre et de valider les performances d’un système d’infrastructure complet avant sa construction et son déploiement. Vertiv OneCore est une solution de centre de données hybride qui intègre l’alimentation électrique critique, la gestion thermique et les infrastructures associées. Grâce à l’ingénierie système basée sur les modèles, à la simulation et aux jumeaux virtuels de la plateforme 3DEXPERIENCE, l’infrastructure Vertiv peut être représentée sous la forme d’un système numérique intégré, offrant traçabilité et visibilité sur l’impact des évolutions de conception. Avec la plateforme 3DEXPERIENCE, les composants SimReady de Vertiv dédiés à l’alimentation et au refroidissement deviennent des modèles de système configurables, qui servent de point de départ à des configurations d’AI factories personnalisées, basées sur l’architecture de référence NVIDIA Vera Rubin DSX AI Factory et NVIDIA Omniverse DSX Blueprint. Plutôt que de figer une conception, l’approche basée sur les modèles permet aux ingénieurs d’évaluer différentes configurations, de répercuter les modifications de conception entre disciplines, de réaliser des validations à l’échelle du système et multiphysiques, et de produire les livrables d’ingénierie depuis un environnement commun. Cette approche fait évoluer l’ingénierie vers des infrastructures d’AI factories configurables, co-conçues et validées en continu, qui préservent l’intention de conception depuis la configuration initiale jusqu’à la construction, la mise en service et les futures évolutions technologiques. Parmi les résultats visés pour les clients figurent une accélération pouvant atteindre un facteur 10 du passage des exigences à une solution d’AI factory configurée et validée, ainsi qu’une réduction pouvant aller jusqu’à 50 % de la durée définie de déploiement de l’infrastructure. Selon les hypothèses du modèle de Vertiv, cette approche combinée permettrait de mettre la capacité en service environ 10 semaines plus tôt qu’une référence conventionnelle modélisée, et de générer jusqu’à 30 % de jetons (tokens) supplémentaires en cumulé dans les 12 mois suivant le lancement du projet, à capacité installée équivalente. Ce gain résulte uniquement d’une disponibilité plus précoce des installations ; il ne traduit ni une amélioration de l’efficacité opérationnelle ni un résultat mesuré chez un client. « Les gagnants de l’IA seront ceux qui sauront le plus rapidement transformer leur puissance de calcul en capacité productive », déclare Scott Armul, Directeur Produits et Technologie de Vertiv. « Cela suppose que l’ensemble de l’AI factory fonctionne comme un seul système, du calcul à l’alimentation, en passant par le refroidissement et l’infrastructure physique. En alliant l’expertise de Vertiv en matière d’infrastructures préconçues aux capacités de Dassault Systèmes basées sur les modèles, nous pouvons configurer et valider ce système avant la construction, réduire la complexité sur le terrain et aider nos clients à mettre leurs capacités d’IA en service plus rapidement. » « Les AI factories figurent parmi les systèmes d’ingénierie les plus complexes jamais construits. Cette complexité exige une vision systémique : modélisée, simulée, orchestrée et optimisée au sein d’un jumeau virtuel, avant même que l’usine ne soit bâtie », déclare Elisa Prisner, Directrice Générale Adjointe, Stratégie, Industries, Marketing et Transformation de Dassault Systèmes. « Avec Vertiv, nous transformons le savoir-faire en infrastructures standardisées en jumeaux virtuels configurables pour les AI factories NVIDIA DSX. Notre plateforme 3DEXPERIENCE permet aux clients d’explorer différentes configurations, de mesurer les conséquences de leurs choix de conception et de valider virtuellement les performances d’un système complet, avant qu’aucune infrastructure n’existe physiquement. » Lors du NVIDIA GTC Berlin, qui s’est tenu du 20 au 22 octobre, les deux entreprises ont présenté plusieurs volets de cette approche de conception et de déploiement : comment les exigences d’une installation déterminent la configuration de l’infrastructure, comment les équipes peuvent évaluer virtuellement les contraintes d’alimentation et de refroidissement, et comment Vertiv s’appuie sur une infrastructure fabriquée en usine pour accélérer le déploiement physique. Réunissant ainsi l’architecture de référence NVIDIA Vera Rubin DSX AI Factory et NVIDIA Omniverse DSX Blueprint, la plateforme 3DEXPERIENCE et les capacités d’ingénierie système basées sur les modèles de Dassault Systèmes, sans oublier les composants SimReady de Vertiv dédiés à l’alimentation et au refroidissement. À propos de Dassault Systèmes Dassault Systèmes est un accélérateur de progrès humain. Depuis 1981, l'entreprise est pionnière dans la création de mondes virtuels pour améliorer la vie réelle des consommateurs, des patients et des citoyens. Grâce à la plateforme agentique 3DEXPERIENCE, ses jumeaux virtuels augmentés par l'IA et ancrés dans la science aident 390 000 entreprises, de toutes tailles et de tous secteurs, à collaborer, imaginer et créer des innovations durables à fort impact. Pour plus d'informations, visitez : www.3ds.com/fr Partager Télécharger le communiqué de presse Contacts presse

Siemens Digital Industries Software · Oct 30, 2026

CAD, CAE & Simulation

Siemens today announced Tessent™ Silicon Executable software, a standalone application designed to translate test patterns and apply them directly onto high-speed interfaces and protocols. The ecosystem includes leading test provider partners who will embed the Tessent software within the automated test equipment providing a simplified workflow and enhanced productivity. Tessent Silicon Executable extends the Tessent workflow from design-for-test insertion, pattern generation, and test collateral creation into pattern execution in silicon. It consumes Tessent-generated collateral, applies tests through the target execution environment, and returns results that downstream Tessent debug, diagnosis and analysis flows can use. “Semiconductor testing is at an inflection point requiring new scan test delivery methods while minimizing time-to-ramp for a product to release to market. The combination of silicon complexity, multi-die and new transistor technology is driving a growth in test content,” said Ankur Gupta, executive vice president and Head of IC, Siemens EDA, Siemens Digital Industries Software. “Tessent Silicon Executable software is embedded in test equipment to directly connect test creation and execution, helping customers apply Tessent-generated patterns consistently and return results to established debug, diagnosis and analysis workflows across test environments. This enables a new level of correlation between environments and provides optimized product economics for device manufacturing” As semiconductor designs increase in complexity and operating frequency, traditional test methods can face longer test times and more demanding execution requirements. Tessent Silicon Executable software is designed to simplify test pattern application, support high-speed interface-based testing and provide a consistent approach across automated test equipment, system-level test, bench and in-system environments. Tessent Silicon Executable launches in collaboration with automated test equipment providers Advantest and Teradyne. “Advantest works with all major EDA vendors to address increasing device complexity and coverage gaps with a seamless workflow across the silicon lifecycle,” said Juergen Serrer, CTO of Advantest . “By integrating Siemens TSE into our V93000 platform with Link Scale and extending it into pre-silicon verification and DFT lab engineering with SiConic, we provide customers with a uniquely consistent path from development to production.” "In advanced packaging, how test content reaches the device matters as much as the content itself," said Shannon Poulin, president, Semiconductor Test group, Teradyne . "By integrating Siemens’ Tessent Silicon Executable into our UltraPort instrument for UltraFLEXplus, we are the first tester company to give customers a standard path to run SSN over PCIe for industry-leading PCIe Gen 6 interfaces, which dramatically improves performance and reduces test times.” Tessent Silicon Executable software is part of the broader Tessent ecosystem for semiconductor design-for-test, silicon test, debug, diagnosis and analysis. To learn more about Tessent Silicon Executable software, visit https://www.siemens.com/en-us/products/ic/tessent/yield-learning/silicon-executable/ Siemens Digital Industries Software unterstützt Unternehmen jeder Größe bei der digitalen Transformation mit Software, Hardware und Services der Siemens Xcelerator Business Platform. Die Software von Siemens und der umfassende digitale Zwilling ermöglichen es Unternehmen, ihre Entwurfs-, Konstruktions- und Fertigungsprozesse zu optimieren, um die Ideen von heute in nachhaltige Produkte der Zukunft zu verwandeln. Vom Chip bis zum Gesamtsystem, vom Produkt bis zum Prozess, über alle Branchen hinweg. Siemens Digital Industries Software – Accelerating transformation. Hinweis: Eine Liste der relevanten Siemens-Marken finden Sie hier . Andere Marken gehören ihren jeweiligen Eigentümern. Ansprechpartner für die Presse Kontakt für Journalisten Siemens Digital Industries Software PR Team E-Mail: press.software.sisw@siemens.com Weitere Informationen Press Release all Siemens and TSMC advance AI-powered semiconductor design automation 23. September 2026 Press Release all Die Digital-Twin-Technologie von Siemens unterstützt Caponnetto Hueber bei der Umsetzung hydrodynamischer Innovationen für die Yacht „Bluegame BGF45“ 29. September 2026 Press Release all Siemens accelerates physical testing with Simcenter Testlab 28. September 2026

technia.com · Oct 29, 2026

CAD, CAE & Simulation

Fragen & Antworten Design for Manufacturing (DfM): Fertigungsgerechtes Design von Anfang an Ein neues Gehäuse besteht alle Simulationen. Der Prototyp überzeugt im Test. Dann kommt das Angebot aus der Fertigung, und die Stückkosten liegen 30 Prozent über dem Zielpreis. Viele Entwicklungsleiter kennen dieses Szenario. Die Ursache liegt selten in der Produktion. Sie liegt fast immer im Design. Laut Dr. Thomas Straßmann von der Universität Duisburg-Essen legt die Konstruktion rund 70 Prozent der beeinflussbaren Herstellungskosten fest. Genau hier setzt Design for Manufacturing an. DfM bringt das Wissen der Fertigung in den Entwicklungsprozess, bevor teure Werkzeuge entstehen. So vermeiden Sie Überarbeitungen in späten Phasen und verkürzen die Vorlaufzeit bis zur Serie. In diesem Beitrag erfahren Sie, welche Prinzipien hinter DfM stehen. Sie lernen die Abgrenzung zu DFA und DFMA kennen. Praxisbeispiele zeigen, wie fertigungsgerechtes Design Kosten senkt. Zum Schluss sehen Sie, wie CAD- und PLM-Software den Ansatz im Alltag unterstützt. Was ist Design for Manufacturing (DfM)? Design for Manufacturing (DfM) ist eine Konstruktionsmethodik . Sie gestaltet ein Bauteil so, dass es sich einfach, sicher und wirtschaftlich herstellen lässt. Ingenieure berücksichtigen dabei früh die Fertigungsmethoden, die Materialauswahl und die geplante Stückzahl. Im Deutschen spricht man auch von fertigungsgerechter Konstruktion . Das Ziel ist klar: Die Funktion des Produktes bleibt gleich, die Herstellungskosten sinken. DfM betrachtet jedes einzelne Teil. Wie viele Rüstvorgänge braucht die Bearbeitung? Passen die Toleranzen zur Maschine? Lässt sich das Bauteil sicher spannen? Diese Fragen beantwortet das Team, solange die Entwürfe noch als CAD-Modell existieren. Eine Änderung kostet dort wenige Minuten. In der laufenden Produktion kostet dieselbe Änderung oft Wochen. DfM, DFA und DFMA: Wo liegt der Unterschied? DfM steht selten allein. Eng verwandt ist Design for Assembly (DFA). DFA betrachtet nicht das einzelne Teil, sondern die gesamte Baugruppe. Es reduziert die Anzahl der Teile und vereinfacht die Montageschritte. Beide Ansätze zusammen bilden Design for Manufacturing and Assembly, kurz DFMA. Die Methodik geht maßgeblich auf die Forscher Geoffrey Boothroyd und Peter Dewhurst zurück. In der Praxis greifen beide Perspektiven ineinander. Ein Gussteil kann zum Beispiel zwei Frästeile ersetzen. Das senkt die Montagezeit, erhöht aber unter Umständen die Werkzeugkosten. Erst die gemeinsame Betrachtung zeigt, welche Lösung über den gesamten Produktentwicklungszyklus günstiger ist. Warum DfM früh im Entwicklungsprozess ansetzen muss Kosten entstehen in der Fertigung. Festgelegt werden sie aber viel früher. Mit allen Designentscheidungen schränkt das Team die Möglichkeiten der Produktion weiter ein. Wer Material, Wandstärke und Toleranzen festlegt, bestimmt damit auch Werkzeugauswahl, Prozesskette und Produktionszeit. Ansätze wie Concurrent Engineering und Collaborative Engineering bringen Konstruktion und Fertigung deshalb früh an einen Tisch. Die oft zitierte 70-Prozent-Regel ist dabei kein Naturgesetz. Forscher am MIT haben die Zahl kritisch untersucht. In ihrer Studie zu Kaffeemaschinen erklärte das Produktdesign rund die Hälfte der Herstellungskosten. Der Rest hing vom Fertigungssystem ab. Die Kernaussage bleibt trotzdem gültig: Der Entwurf setzt den Rahmen, in dem sich die Fertigung bewegt. Ein zweiter Faktor ist die Zeit. Produktänderungen nach dem Start der Serienwerkzeuge verlängern die Vorlaufzeit erheblich. Jede Überarbeitung erfordert neue Freigaben, neue Erstmuster und oft eine erneute Prüfung beim Kunden. Für Automobilzulieferer mit festen SOP-Terminen ist das ein echtes Risiko. DfM verschiebt diese Probleme in eine Phase, in der sie sich noch günstig lösen lassen. Die wichtigsten Prinzipien des fertigungsgerechten Designs Designrichtlinien für DfM unterscheiden sich je nach Verfahren. Einige Prinzipien gelten jedoch für fast jedes Anwendungsfeld. Teileanzahl reduzieren Jedes Teil verursacht Kosten. Es braucht eine Zeichnung, einen Lieferanten, einen Lagerplatz und eine Prüfung. Fragen Sie daher bei jedem Teil, ob es sich mit einem Nachbarteil zusammenfassen lässt. Weniger Teile bedeuten weniger Montageschritte und weniger Montageprobleme. Standardisierung und Standardkomponenten nutzen Normteile , Katalogteile und firmeninterne Wiederholteile sparen Entwicklungszeit. Sie senken zudem den Lagerbestand und den Lageraufwand. Einheitliche Bohrungsdurchmesser und Gewindegrößen reduzieren außerdem die Werkzeugwechsel an der Maschine. Ein systematisches Standardteilemanagement macht Standardkomponenten für alle Konstrukteure schnell auffindbar. Ein durchdachtes Variantenmanagement begrenzt zusätzlich die Teilevielfalt. Materialauswahl und Fertigungsmethoden abstimmen Material und Verfahren gehören zusammen. Ein Bauteil aus Aluminium lässt sich gut fräsen oder druckgießen. Ein Teil aus faserverstärktem Kunststoff stellt ganz andere Konstruktionsanforderungen. Berücksichtigen Sie dabei auch die Skalierung. Was bei 50 Prototypen sinnvoll ist, passt selten zu 50.000 Serienteilen. Toleranzen und Ausrichtung bewusst festlegen Enge Toleranzen kosten Geld. Legen Sie sie nur dort fest, wo die Endanwendung sie wirklich verlangt. Eine Toleranzanalyse zeigt, welche Maße die Funktion tatsächlich beeinflussen. Eine saubere Bemaßung nach GD&T hilft dabei. Planen Sie außerdem eindeutige Bezugsflächen und Zentrierungen ein. Sie legen die Ausrichtung eines Teils fest und verhindern Ausrichtungsfehler bei der Montage. Spannen und Montieren mitdenken Ein Bauteil muss sich sicher spannen lassen. Plane Auflageflächen erleichtern die Werkstückhalterung und reduzieren Rüstvorgänge. Für die Montage gilt Ähnliches. Symmetrische Teile lassen sich nicht falsch einbauen. Fasen und Führungen erleichtern das Fügen. Klar definierte Unterbaugruppen erlauben eine parallele Vormontage und vereinfachen Montagevorrichtungen. DfM in der Praxis: zwei Beispiele Zerspanung: weniger Aufspannungen, kürzere Rüstzeit Ein Zulieferer entwickelt eine Sensorhalterung aus Aluminium. Der erste Entwurf verlangt Bohrungen aus drei Richtungen. Das bedeutet drei Aufspannungen und eine lange Rüstzeit pro Los. Im DfM-Review verlegt das Team zwei Bohrungen auf eine gemeinsame Seite. Die Halterung braucht nun nur noch zwei Aufspannungen. Zusätzlich vereinheitlicht das Team die Eckenradien. So genügt ein einziger Fräser für alle Taschen. Eine Beispielrechnung zeigt die Wirkung. Spart die Änderung zwei Minuten pro Teil, ergibt das bei 50.000 Teilen im Jahr rund 1.670 Maschinenstunden. Diese Kapazität steht der Fertigungslinie nun für andere Aufträge zur Verfügung. Dokumentierter Fall: halbe Kosten durch DFMA Das Unternehmen Boothroyd Dewhurst dokumentiert die Neukonstruktion einer Schlauchhaspel für Feuerwehrschläuche. Das Team senkte die Teileanzahl von 59 auf 27. Die Zahl der Montageoperationen sank von 106 auf 49. Die Montagezeit halbierte sich von 525 auf 264 Sekunden. Die Gesamtkosten fielen um 50 Prozent. In einem weiteren Fall reduzierte ein internationaler Konzern die Teileanzahl um 42 Prozent. Die Fertigungszykluszeit sank dabei um 60 Prozent. DfM im jeweiligen Anwendungsfeld Spritzguss und Guss Gleichmäßige Wandstärken verhindern Einfallstellen und Verzug. Entformungsschrägen erleichtern das Auswerfen. Hinterschnitte erfordern Schieber und verteuern das Werkzeug. Eine FEM-Analyse zeigt, ob dünnere Wände die Belastung trotzdem tragen. Klären Sie solche Fragen mit dem Werkzeugbau, bevor Sie die Konstruktion freigeben. 3D-Druck und additive Fertigung Auch der 3D-Druck folgt eigenen Regeln. Die Ausrichtung im Bauraum beeinflusst Stützstrukturen, Oberflächengüte und Festigkeit. Sie bestimmt außerdem Druckzeit und Nachbearbeitungszeit. Selbsttragende Winkel sparen Stützmaterial. Ein großer Vorteil der additiven Fertigung liegt in der Funktionsintegration. Mehrere Teile lassen sich zu einem Bauteil vereinen. Prüfen Sie jedoch früh, ob der Druck auch in Serie wirtschaftlich bleibt. Elektronikentwicklung In der Elektronikentwicklung bezieht sich DfM vor allem auf die Leiterplatte. Ausreichende Abstände zwischen Bauteilen erleichtern die automatische Bestückung. Standardgehäuse senken Beschaffungsrisiken. Einheitlich ausgerichtete Bauteile vereinfachen das Löten und die optische Prüfung. Testpunkte ermöglichen eine schnelle elektrische Prüfung am Ende der Produktionslinie. DfM digital umsetzen: Software im Produktionsworkflow DfM funktioniert nur, wenn Konstruktion und Fertigung dieselben Daten nutzen. Moderne CAD- und PLM-Systeme schaffen diese Grundlage. In SOLIDWORKS prüft das integrierte Werkzeug DFMXpress Bauteile automatisch auf fertigungskritische Merkmale. Dazu zählen etwa zu tiefe Bohrungen oder zu kleine Innenradien. SOLIDWORKS Costing schätzt die Herstellungskosten bereits während der Konstruktion. Eine begleitende CAD-Simulation sichert die Funktion des optimierten Bauteils ab. Für komplexe Produkte bietet die 3DEXPERIENCE-Plattform einen durchgängigen Ansatz. Konstrukteure arbeiten in CATIA am Modell. Fertigungsplaner nutzen parallel DELMIA für die Prozessplanung. Sie simulieren Montageschritte, Roboterbahnen und den Materialfluss am digitalen Zwilling der Fertigungslinie. So zeigen sich Montageprobleme, bevor die erste Vorrichtung entsteht. Eine digitale Kollisionsprüfung deckt Bauraumkonflikte zusätzlich früh auf. Produktionsentscheidungen basieren dann auf einem gemeinsamen Datenstand. Das PLM-System sorgt für die nötige Transparenz. Es verknüpft Anforderungen, CAD-Daten und Arbeitspläne. Ändert sich ein Teil, sehen alle Beteiligten sofort die Auswirkungen auf die Arbeitsabläufe in Fertigung und Montage. Dieser durchgängige Datenfluss beschleunigt den gesamten Entstehungsprozess eines Produktes. In fünf Schritten zu DfM im Unternehmen • Kostentreiber analysieren: Werten Sie bestehende Produkte per Wertanalyse aus und identifizieren Sie teure Teile und lange Rüstzeiten. • Designrichtlinien festlegen: Dokumentieren Sie fertigungsgerechte Regeln für Ihre wichtigsten Verfahren und Maschinen. • Fertigung früh einbinden: Planen Sie feste DfM-Reviews mit der Arbeitsvorbereitung in jeder Entwicklungsphase ein. • Software nutzen: Automatisieren Sie Prüfungen im CAD und simulieren Sie den Herstellungsprozess digital. • Erfahrungen zurückführen: Speisen Sie Erkenntnisse aus der Produktion laufend in die Richtlinien ein. So entsteht eine stetige Verbesserung im Sinne von Lean Manufacturing . Design for Manufacturing: FAQ Was bedeutet DfM? DfM steht für Design for Manufacturing. Die Methode gestaltet Produkte so, dass sie sich einfach und kostengünstig fertigen lassen. Fertigungswissen fließt dabei bereits in die frühen Entwürfe ein. Was ist der Unterschied zwischen DfM und DFMA? DfM optimiert die Herstellung einzelner Teile. DFMA kombiniert DfM mit Design for Assembly. Es betrachtet zusätzlich die Montage der gesamten Baugruppe und reduziert Teileanzahl und Montageschritte. Wann sollte DfM im Produktentwicklungszyklus beginnen? DfM sollte bereits in der Konzeptphase beginnen. Dort sind Änderungen am günstigsten. Spätestens vor der Freigabe der Serienwerkzeuge gehört ein DfM-Review in den Prozess. Gilt DfM auch für Prototypen? Ja. Prototypen entstehen oft mit anderen Verfahren als Serienteile. Ein gedrucktes Teil kann im Spritzguss scheitern. Prüfen Sie daher schon beim Prototyp, ob der Entwurf zum späteren Serienverfahren passt. Welche Software unterstützt DfM? CAD-Systeme wie SOLIDWORKS und CATIA bieten Fertigbarkeitsprüfungen und Kostenschätzungen. DELMIA simuliert Fertigung und Montage. Die 3DEXPERIENCE-Plattform verbindet beide Welten auf einer gemeinsamen Datenbasis. Zulieferer finden Orientierung im Überblick zu CAD-Software für die Automotive-Industrie . Fertigungsgerechtes Design zahlt sich aus Design for Manufacturing ist kein zusätzlicher Arbeitsschritt. Es ist eine Haltung im Entwicklungsprozess. Wer Fertigung und Montage früh mitdenkt, senkt Kosten und verkürzt die Time-to-Market. Teure Änderungsschleifen nach dem Werkzeugstart werden zur Ausnahme. Die Werkzeuge dafür sind vorhanden. Entscheidend ist, sie konsequent einzusetzen. TECHNIA begleitet Sie dabei mit über 30 Jahren Erfahrung in CAD, PLM und digitaler Fertigung. Unsere Experten unterstützen Sie bei Auswahl und Einführung von CATIA, SOLIDWORKS und DELMIA. Mit unseren Engineering-Services verankern Sie DfM dauerhaft in Ihren Prozessen. Sprechen Sie uns an. Gemeinsam machen wir Ihre Konstruktion fit für die Serie. Jetzt Beratung anfragen

jamasoftware.com · Oct 29, 2026

PLM Software · Digital Thread & Digital Twin

How to Connect Product Requirements and Cybersecurity Risk Respond to evolving threats with less manual work. When requirements, cybersecurity analysis, and verification evidence live in separate systems, engineering and security teams have to manually reconcile changes across the development lifecycle. This slows impact analysis, creates duplicate work, and leaves traceability gaps that increase product and compliance risk. Join David Leichner, Chief Marketing Officer, C2A Security, David Mor Ofek, Director of Product Management, C2A Security, and Matt Mickle, Director of Automotive Solutions, Jama Software for a 45-minute webinar as they explore a more connected approach to engineering and cybersecurity. Learn how functional requirements can inform a living cybersecurity model and threat analysis, and how security findings can flow back into engineering work. What you’ll learn: • Maintain traceability from functional requirements through cybersecurity risk and verification • Identify requirements affected by emerging threats and vulnerabilities • Translate threat analysis into prioritized engineering and remediation work • Keep cybersecurity changes and verification evidence connected to reduce manual reconciliation and support audit readiness See Jama Connect in Action! Our Jama Connect experts are ready to guide you through a personalized demo for requirements management for medical device development, answer your questions, and show you how Jama Connect can help you identify risks, improve cross-team collaboration, and drive faster time to market through AI-native engineering management. Book a Demo

openbom.com · Oct 29, 2026

PLM Software

In a spreadsheet, the same part shows up again and again. It is a row in this BOM, a row in that BOM, and a row in the purchasing list. When its description or cost changes, someone has to find every copy and fix it by hand. Usually one copy gets missed. OpenBOM works differently, and the best way to see it is to build a bill of materials yourself. There are three ways to create your first BOM in OpenBOM: by hand, from a spreadsheet, or straight from your CAD. This article builds one by hand. It takes a few minutes, you do not need a file to import or an add-in to install, and it shows you how OpenBOM thinks. Three ideas explain almost everything • Items are your parts and assemblies, each with a part number and properties such as description and cost. • Catalogs keep items of the same kind together and decide which properties they have. • BOMs say which items go into an assembly, and how many of each. Keep those three in mind. Every step below uses them. How to create your first BOM by hand In this example, a company that makes and sells drones sets up its product, Custom Drone, with two items that go into it. 1. Create a catalog A catalog is where your items live. From the dashboard, select Create, then Create Catalog. Give the catalog a name, for example Quickstart. If you want OpenBOM to number your items, select Part Number Setup before you submit (step 2). Otherwise, select Submit. 2. Set up part numbering (optional) The part number is how OpenBOM recognizes an item. You can use the numbers you already have, or let OpenBOM generate them. In Part Number Setup, select Create Part Number Template. Set a simple template: a prefix of 1 and a five-digit counter, from 1 to 99999. Select Add. Keep Auto generate Part Numbers ticked, select Save Options, then Submit the catalog. With this template, your items are numbered 100001, 100002, and so on. For more options, see Part numbering. 3. Add your items The catalog opens with its default properties: Part Number, Thumbnail image, Quantity On Hand, Description, Cost, Revision, and Revision Number. Add a row for each item. Each new row gets the next part number. Type a description and anything else you track, such as cost. Add the assembly itself as an item too. Here, the drone company adds Custom Drone, plus the two items that go into it: Spare propellers and Custom Engineered Drone. Added a row you don’t need? Right-click it and select Remove Item. 4. Create the BOM In the catalog, select the items that go into the assembly and copy them with Ctrl+C. Then right-click the assembly item, here Custom Drone, and select Create New BOM for this item. Create BOM opens with the catalog and part number filled in. Check the BOM Name, keep BOM Type as BOM and Template as Default, and select Create. The new BOM opens. Paste the items with Ctrl+V, then enter the quantity of each: here, 4 spare propellers and 1 custom engineered drone. That’s your first bill of materials. Next time, you can also start from the dashboard: select Create, then Create BOM. 5. See how it connects Now try this. Change the description of one item in the catalog, then open the BOM. The BOM shows the change. This is the main idea behind OpenBOM, and the answer to the spreadsheet problem. An item exists once, in its catalog. Every BOM that uses it stays in step, so there is no second copy to keep up to date. The same rule holds as your product grows. When you add a sub-assembly with its own BOM as a row, you have a multi-level BOM, and the item is still maintained in one place all the way down. Finding your way around A few places you will use every day: • Home is where you land after signing in. Its quick actions let you import data, create items and BOMs, and open CAD files. • The menu on the left takes you to each area of OpenBOM. Your items, BOMs, and catalogs are under Parts and BOMs. • Properties are the columns in a BOM or catalog. Views decide which ones you see. Hiding a column in a view deletes nothing. • The item information panel opens when you right-click an item and select Item info. It shows the item’s properties, everywhere it is used, and a graph of how it connects to other items. New words? See the Glossary. What you have now A catalog with your items in it, and a BOM built from those items. More importantly, you have seen the idea that makes OpenBOM different from a spreadsheet: change an item once, and every BOM that uses it follows. You probably do not want to type every BOM by hand, though. Most teams already have BOMs in spreadsheets and models in CAD. In the next article, we bring that data in. Next: Bring in your data. Best, Oleg

automotivemanufacturingsolutions.com · Oct 29, 2026

PLM Software

PLM development Sponsored How PLM is evolving to meet the complexity of automotive manufacturing operations Automotive Manufacturing Solutions Automotive Manufacturing Solutions Published 27 October 2026 - 14:11 5 min For commercial vehicle makers PLM is especially critical Siemens As vehicles become software-defined and manufacturing grows more modular, PLM is shifting from a mechanical-focused repository to a connected lifecycle backbone that links engineering, manufacturing, service and operational data to support the comprehensive Digital Twin PARTNER CONTENT This article was produced by AMS in partnership with Siemens Digital Industries At a glance • PLM is evolving from a mechanical engineering repository into a connected lifecycle platform managing software, electronics and mechanical parts, ensuring compatibility and safe over-the-air updates for software-defined vehicles. • Connecting PLM, ERP and MES data across engineering, manufacturing and service speeds change management and reduces costly rework, according to Siemens' Andreas Eek. • Commercial vehicle makers rely on modular bills of materials and configuration rules so every customer-specified vehicle is producible, while a "vehicle DNA" digital twin tracks lifetime changes. • AI grounded in trusted lifecycle data helps engineers find information faster, while integrating simulation outputs into PLM shows how designs perform across production, service and operation. Product lifecycle management (PLM) has long been the backbone of engineering data and design workflows in the automotive industry. But the last decade has seen radical shifts in what PLM must manage: rising software content, electrification, modular platforms and new business models focused on uptime and serviceability. Speaking to AMS, Andreas Eek, Account Executive at Siemens Digital Industries Software , laid out how PLM is changing from a siloed engineering tool into a connected lifecycle platform that enables faster change management, richer simulations and a trusted digital record of what each vehicle actually is. PLM’s broadened scope: software, electronics and context Historically, PLM was dominated by mechanical data. As Eek observes, “If you go back more than 10 years ago, software was never discussed from a PLM perspective. It was purely mechanical discussions.” The transition to software-defined vehicles means that PLM must now manage not only mechanical and mechatronic components but also software modules and electronics – and their compatibility. When a customer configures a vehicle, you need to make sure it's actually producible… that needs to be built up on a foundation from a PLM system based on modularisation of the product together with highly integrated configuration rules Andreas Eek – Siemens Digital Industries Andreas Eek, Account Executive at Siemens Digital Industries Software Eek sums up the implication: “They need to have the software part of the PLM system and be able to manage the compatibility between mechanical parts, mechatronic parts, and software parts as a group of components to build a complete vehicle.” This is vital not only for correct initial assembly but also for safe, reliable over‑the‑air (OTA) updates: “Once an update goes out, it has to work.” For commercial vehicle makers – a sector that traditionally emphasises modularity and long‑lived platforms – PLM is especially critical. Eek explains that commercial OEMs must ensure that every customer configuration is viable: “When a customer configures a vehicle, you need to make sure it's actually producible… that needs to be built up on a foundation from a PLM system based on modularisation of the product together with highly integrated configuration rules.” Moving to a connected, contextualised lifecycle data Many established manufacturers evolved complex IT landscapes made up of many specialised systems. Eek describes the current trend away from that fragmentation. New approaches target a small set of core systems – typically PLM, ERP and MES – while placing emphasis on connecting and contextualising data across the lifecycle, rather than merely centralising it. “You need to put much more data into one common system where you have both engineering, manufacturing [and] service people so that the manufacturing people can see the engineering data much earlier,” Eek says. The goal is faster, clearer change management and fewer costly re‑works. In his words: “When they make changes, they can get a much better understanding to perform those changes without having to re-loop them once you get feedback.” We see a lot of concepts in the commercial vehicles requirements that we don't see in automotive, for example, to really ensure that all the modules that they produce can be used in a vast amount of vehicle configurations Andreas Eek – Siemens Digital Industries Configuration management and the commercial vehicle challenge Commercial vehicle OEMs face unique configuration pressures. Unlike high‑volume passenger cars, many commercial OEMs develop platform families and then run continuous changes on those platforms for a decade or more. This forces PLM to support highly flexible modular architectures while ensuring manufacturability and functional compatibility across many variants. Eek highlights the trade‑offs OEMs face: some choose maximal flexibility; others limit options to optimise production. “If you have a limited flexibility, you might be able to optimise the production aspects and maybe have a larger volume of specific vehicles,” he says. But for OEMs that must support diverse customer applications, sophisticated configuration rules and modular bill of materials (BOMs) are a must. Eek says: “We see a lot of concepts in the commercial vehicles requirements that we don't see in automotive, for example, to really ensure that all the modules that they produce can be used in a vast amount of vehicle configurations.” Sponsored Smart energy and data solutions power shift to green auto manufacturing As sustainability has become a priority for global automotive manufacturing, OEMs and suppliers are adopting digital energy management systems to track, reduce and optimise energy consumption and carbon emissions across plants and supply chains. Siemens is helping to lead this transformation, enabling measurable reductions in CO₂ and operational gains, especially in paintshops and bodyshops.

cadenas.com · Oct 28, 2026

CAD, CAE & Simulation · Customer Stories

New online configurator helps customers identify hydraulic cylinder solutions and move projects forward faster. Hydrapower has launched a new online 3D product configurator for its R-210 welded hydraulic cylinder range, giving customers an on-demand way to configure cylinders, access product information, and submit requests for a quote. Powered by CADENAS, the new tool helps customers move quickly from identifying their requirements to finding a standard product that fits their application. Hydrapower manufactures hydraulic cylinders and actuators used across agricultural and industrial equipment. Its customers range from engineers and design consultancies to hydraulic service providers and end users, creating a wide variety of requirements for both new equipment and replacement applications. The R-210 Series represents Hydrapower’s standard welded cylinder range, featuring cylinder sizes with bores up to 8 inches and strokes up to 3,500 millimeters. For Hydrapower, improving access to that standard range was an important step toward reducing response times. Previously, customers often contacted the company directly with measurements, drawings, or application specifications to create a cylinder for their application. Hydrapower’s team would then determine the appropriate cylinder and, when needed, prepare CAD files or other product information. “A big thing is response time and ensuring the customer has all the information they need to make better decisions,” said Colin McDowell, General Manager at Hydrapower. “Rather than needing to talk with us and have us produce custom CAD files and information, customers can now select from standard options and choose a cylinder that gets as close to their specifications as possible, without the cost of a custom design.” With the R-210 configurator, customers can identify a standard cylinder that closely matches their requirements and submit an RFQ directly through the online tool. This creates a faster path from product selection to pricing while helping Hydrapower reserve engineering resources for more specialized applications. For service and maintenance applications, customers can also use measurements from an existing cylinder to quickly identify a potential R-210 replacement. “The idea is that customers can use our tool to quickly configure a replacement for their cylinder, then get pricing and order from us or have us build a custom solution in a reasonable time frame to minimize equipment downtime,” McDowell said. About Hydrapower Hydrapower Systems Ltd was formed in 1994 to satisfy a need for an alternative, innovative Hydraulic Cylinder manufacturer in New Zealand. Their manufacturing process has a strong emphasis on cost-effective custom Cylinders built for specific applications. Over time they’ve expanded offerings to include “Standard” ranges of Mobile, ISO, Tie rod and Mill type cylinders as well as Press cylinders, Servo cylinders and High/Low temperature cylinders. Learn how your customers can easily configure and download CAD models of your products online Contents eCATALOG 3Dfindit published onOctober 27, 2026 Brianna Kitna Brianna Kitna is the Digital Marketing Coordinator for CADENAS USA. She is responsible for the development and creation of digital content for the USA office including articles, graphics, photos, videos, landing pages, and campaigns. More CADENAS News GLUAL publishes its CAD Catalog for Hydraulic Cylinders and Piston Accumulators eCATALOG 3Dfindit Engineers can now configure and download official CAD models of GLUAL hydraulic cylinders and piston accumulators for faster and more accurate design workflows. More igus & CADENAS Engineering Round Table Corporate Factory tours, expert presentations, workshops, and networking: At the joint Engineering Round Table hosted by igus and CADENAS, participants gained practical insights into modern product development, manufacturing processes, and innovative solutions for component selection. More CADENAS Increases Global Availability of 3D CAD Data with Cloudflare eCATALOG 3Dfindit CADENAS is expanding the global infrastructure of 3Dfindit and PARTcommunity. More than 330 data centers in over 125 countries will support the worldwide delivery of CAD and BIM data going forward. More We've detected you might be speaking a different language. Do you want to change to: English English English German Italian French Japanese Chinese Croatian Change Language Close and do not switch language We've detected you might be speaking a different language. Do you want to change to: English English Change Language Close and do not switch language