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      <title>CATIA</title>
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      <description>CATIA</description>
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      <![CDATA[ Debug redirection ZZZ ]]>
      </title>
      <link>https://blog--3ds--com.apsulis.fr/brands/catia/debug-redirection-zzz/</link>
      <guid>https://blog--3ds--com.apsulis.fr/guid/275337</guid>
      <pubDate>Thu, 23 Jan 2025 12:10:17 GMT</pubDate>
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      <![CDATA[ qsd qsd qsd qsd qsd qsd 
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Lorem ipsum odor amet, consectetuer adipiscing elit. Aptent hac sociosqu velit adipiscing; dapibus litora praesent molestie ut. Pulvinar condimentum risus mi potenti lobortis, viverra diam hac. Vitae adipiscing aliquet phasellus nullam molestie curae. Lectus lorem est tortor bibendum scelerisque turpis malesuada. Nullam neque feugiat volutpat nunc proin vestibulum magnis. Interdum maximus duis phasellus mollis non mus natoque facilisi.



Eros vel faucibus phasellus nam massa dignissim mollis. Ullamcorper scelerisque nullam sociosqu porttitor ridiculus ultricies. Curabitur cursus class, dapibus nibh varius senectus porttitor. Augue aliquet blandit ut diam est elementum congue mauris amet. Nam consequat nam ac at venenatis; fringilla porta sit justo. Accumsan nulla diam tristique accumsan quis tellus accumsan. Sapien natoque facilisis porttitor facilisis, eu conubia.



Magnis semper lacinia vulputate maximus sociosqu habitasse. Ut feugiat torquent amet tortor inceptos luctus. Iaculis tempor fusce auctor sed magna ultrices eros eu. Dictumst magnis mattis hac ut aliquam. Nibh velit nunc sociosqu magna maximus facilisis vitae. Neque per lacus lacus et proin vestibulum a hac at. Sagittis auctor litora duis molestie sodales. Lacinia sapien nullam aenean quisque et netus. Nunc purus morbi et torquent tellus commodo. Rutrum ridiculus varius eget litora nibh phasellus.



Pulvinar aptent varius pulvinar sem in netus. Parturient non velit per suspendisse ridiculus ipsum duis fermentum imperdiet. Ultricies commodo eleifend habitasse potenti feugiat, porttitor tellus. Rhoncus facilisis mauris class accumsan; tellus phasellus himenaeos. Fringilla ligula morbi dapibus egestas commodo purus quam. Nam inceptos nibh quam sapien lacus mus. Efficitur imperdiet nisl fames facilisi ultrices urna. Hendrerit ad elementum fames enim congue quis egestas quisque. Amet convallis eros bibendum orci nunc placerat morbi augue.



Ad ornare ac; rutrum a metus massa nostra. Vitae eleifend torquent gravida scelerisque gravida fusce venenatis. Tortor sem ornare adipiscing torquent pharetra dis torquent pellentesque. Penatibus feugiat tellus diam aenean taciti. Turpis erat pretium laoreet fermentum; conubia dapibus ante rutrum. Ipsum netus vestibulum ante nunc fringilla aliquet.
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      <title>
      <![CDATA[ Unlocking the Potential of CATIA in the Building Industry ]]>
      </title>
      <link>https://blog--3ds--com.apsulis.fr/brands/catia/unlocking-the-potential-of-catia-in-the-building-industry/</link>
      <guid>https://blog--3ds--com.apsulis.fr/guid/275081</guid>
      <pubDate>Thu, 12 Dec 2024 13:39:13 GMT</pubDate>
      <description>
      <![CDATA[ Antoine Duphil Consultant CAD/PLM at TECHSO interviewed by Jonathan ASHER CATIA Construction Sales Director on how his company use 3DEXPERIENCE CATIA
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      </description>
      <content:encoded>
      <![CDATA[ 

Discover how tailored features and innovative solutions in CATIA are revolutionizing project management in the building industry.








Understanding Antoine&#8217;s Role in the Industry



The building industry, with its intricate processes and complex project management needs, greatly benefits from the expertise of professionals like Antoine. As a CAD/PLM Consultant at TECHSO Solutions in Montreal, Antoine focuses on optimizing the control of the life cycle of building components. His role involves deliberating with stakeholders to identify the most effective practices to enhance reliability across projects.



Antoine&#8217;s approach is multifaceted. He listens, understands, and analyzes the needs of various architecture and engineering firms. This understanding allows him to customize functionalities that align with users&#8217; daily activities. The goal? To create seamless and effective workflows without imposing rigid constraints.








Harmonization of processes, unification of methodologies, while maintaining flexibility, is key.








Flexibility is crucial, as it enables Antoine and his team to adapt to diverse inputs from architects and engineers, ensuring that every project is uniquely catered to.



The Transformative Benefits of CATIA



CATIA is more than just a tool; it&#8217;s a transformative platform that significantly enhances project outcomes. Antoine utilizes applications such as CATIA Building 3D Design and Assemblies, alongside CATIA Visual Scripting, to customize automation and integrate proprietary knowledge into existing features.



Three primary benefits emerge from using these applications:




Intellectual Property Features: These features save time and allow users to explore various scenarios, aiding in both creation and modification processes.



Propagation of Impact: With an up-to-date mockup, the propagation of impact is streamlined, reducing surprises by identifying direct interfaces between products.



Material Efficiency: By linking final products to raw materials, CATIA helps transform waste into salvaged material, significantly reducing consumption on construction sites.





CATIA allows us to transform waste material into reusable resources, minimizing construction costs.








These benefits underscore CATIA&#8217;s role in delivering efficient, sustainable, and innovative solutions that align with industry needs.



Evolving Features for Tailored Solutions



CATIA&#8217;s evolution is a testament to its commitment to meeting user needs. Antoine appreciates how the platform&#8217;s features are increasingly tailored not only to functional requirements but also to the cultural and linguistic nuances of users. This adaptability ensures that CATIA remains relevant and effective in diverse contexts.



A standout feature is the ability to embody different &#8220;truths&#8221; for a single object. This means users can switch between detailed and basic views as needed, providing precise information when required.




&#8220;CATIA&#8217;s evolving features match both the needs and culture of its users, offering multiple truths for a single object.&#8221;












This flexibility is a game-changer, enabling users to access the right level of detail for any given task.



Conclusion



Antoine&#8217;s insights highlight CATIA&#8217;s transformative impact on the building industry. By tailoring functionalities to user needs and leveraging innovative solutions, CATIA is redefining project management. The platform&#8217;s evolving features, combined with Antoine&#8217;s expertise, ensure that building projects are more efficient, sustainable, and adaptable than ever before. As CATIA continues to evolve, it promises even greater alignment with the dynamic needs of the industry.




CATIA is not just evolving; it&#8217;s reshaping how we approach building projects, making them more efficient and sustainable.








Discover more on the free online CATIA Buildings and Infrastructure community: thousands of tutorials and CATIA experts!
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      <title>
      <![CDATA[ AI augments Engineers for Sustainable Innovation ]]>
      </title>
      <link>https://blog--3ds--com.apsulis.fr/brands/catia/ai-augments-engineers-for-sustainable-innovation/</link>
      <guid>https://blog--3ds--com.apsulis.fr/guid/274344</guid>
      <pubDate>Thu, 28 Nov 2024 14:59:56 GMT</pubDate>
      <description>
      <![CDATA[ For over 40 years, Dassault Systèmes, through its leading brand CATIA, has been at the forefront of industrial transformation and continues to be so today by using artificial intelligence (AI) to drive sustainable innovation.
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      <content:encoded>
      <![CDATA[ 
How do we navigate AI for Industrial Transformation?



From design to industrialization, 80% of vehicles and aircraft today have developed their complete digital twin and now their virtual twin with Dassault Systèmes, especially with CATIA. Those solutions help the company extend its reach to other critical sectors, such as smart cities, energy infrastructures, and even the human heart.



AI serves not just as a tool for automation but as an enhancer of human capability, allowing engineers, designers, and architects to explore more innovative and sustainable solutions within development cycles. The core of AI lies in data, transforming it into valuable knowledge and expertise. This resembles a modern renaissance, where accumulated industrial know-how is made accessible across the entire product creation and industrialization value chain.




We are not automating to replace engineers, but augmenting their abilities to explore more innovative and sustainable solutions.Olivier SAPPIN, CATIA CEO








Virtual Twins: Bridging the Virtual and Real Worlds



Virtual twins are pivotal in integrating AI with industrial data, offering a comprehensive digital representation of physical assets. By creating virtual twins of products such as vehicle batteries, Dassault Systèmes with the 3DEXPERIENCE platform enables detailed simulation and testing in a virtual environment, reducing the need for costly and time-consuming physical prototypes.



Detailed Simulation with Virtual Twins




&nbsp;Simulation and Testing: Virtual twins allow the simulation of product characteristics such as battery autonomy, heat resistance, and steering angle, predicting performance under various conditions.



&nbsp;Design Optimization: Engineers and designers can refine product designs virtually, enhancing efficiency and sustainability at the early concept before physical production begins.








This approach not only saves time and resources but also enhances competitive advantage by enabling rapid prototyping and testing.



AI-Driven Enhancements in Virtual Twin Solutions



AI is crucial for advancing virtual twin solutions. It provides predictive insights that accelerate design and decision-making processes. AI can foresee potential issues and optimize performance by capturing and analyzing data from both virtual models and real-world usage.



Predictive Capabilities




&nbsp;Rapid Prototyping: AI algorithms enable quick generation and testing of multiple design alternatives within CATIA



&nbsp;Risk Management: Predictive analytics help in identifying and mitigating risks in complex projects, ensuring timely and cost-effective delivery.













&#8220;AI allows us to explore solutions rapidly, providing insights that would traditionally take months to discover.&#8221;








One Single Source of Truth



For more than 13 years, Dassault Systèmes has introduced the 3DEXPERIENCE platform to capitalize on the potential of virtual twins. This data-driven platform elevates information to knowledge and expertise, making it accessible and reusable across various domains.



Some key features:




&nbsp;Data Structuring: Ontologies are used to intelligently structure data, enhancing its usability.



&nbsp;Integration of Real and Virtual Data: By combining real-world usage data with virtual models, the platform delivers comprehensive insights for decision-making.












Protecting Industrial Data in the Age of AI



Data protection is paramount as industries leverage AI for innovation. Data anonymization ensures that proprietary industrial knowledge remains secure while benefiting from AI advancements.



Data Security Strategies




&nbsp;Anonymization Techniques: Used in sectors like healthcare, these techniques protect sensitive data while enabling advanced simulations.



&nbsp;Proprietary Data Utilization: AI is trained on industrial data for the exclusive benefit of its originators, ensuring competitive advantage.




Ready to embrace the Generative Economy



Dassault Systèmes prepares industries for a generative economy, where the focus shifts from products to experiences, with a new factor in the balance: circularity. By leveraging AI and virtual twin technology, engineers and designers can innovate sustainably, reducing development cycles and enhancing operational excellence.




AI gives engineers superpowers to accelerate product development, reduce life cycles, and optimize production.Olivier SAPPIN, CATIA CEO








As industries face increasing demands for competitiveness and sustainability, adopting these advanced technologies becomes imperative. Watch our latest webinar to learn how you, as an industrial company, can harness generative AI for your business needs.



And explore how CATIA transform your design and decision-making processes by integrating AI and virtual twins into your operations.
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      <title>
      <![CDATA[ Unveiling the New Era in System Engineering with CATIA Magic ]]>
      </title>
      <link>https://blog--3ds--com.apsulis.fr/brands/catia/unveiling-the-new-era-in-system-engineering-with-catia-magic/</link>
      <guid>https://blog--3ds--com.apsulis.fr/guid/274070</guid>
      <pubDate>Tue, 26 Nov 2024 09:45:04 GMT</pubDate>
      <description>
      <![CDATA[ The integration of system engineering models takes a leap forward with the new CATIA Magic version, promising more dynamic diagrams and early-stage simulations to enhance product realization.
 ]]>
      </description>
      <content:encoded>
      <![CDATA[ 
In this video, David Augendre from STELLANTIS discusses the new version of CATIA Magic and its impact on system engineering. The updated software facilitates smoother integration of various models across different domains, allowing for dynamic diagrams and early-stage product verification. CATIA Magic helps streamline processes, enhance time-to-market, and optimize organizational and system interfaces by fostering collaboration and digital continuity.



The new version of CATIA Magic facilitates smoother integration of different models across various engineering domains, enhancing system-engineering expertise.



MBSE (Model-Based Systems Engineering) helps bridge the gap between mechatronics and software sectors, aiding in the formalization and design process.



Modeling and formalizing designs through CATIA systems and other tools allow for better project management, identifying progress, delays, and interconnections between different sectors.







Bridging Competence Domains with CATIA Magic



In the constantly evolving world of system engineering, the seamless integration of diverse models across various domains of expertise is crucial. The new version of CATIA Magic propels this integration by enabling a more serene and coherent relationship between different models within system engineering. This advanced tool facilitates the creation of dynamic diagrams, paving the way for simulations and verifications even before product realization.




The new version of CATIA Magic allows for a more relaxed connection of different models across domains of competence and expertise.




This innovation is particularly significant for industries like automotive, where reconciling mechatronic and physical domains with software approaches presents a substantial challenge. Model-Based Systems Engineering (MBSE) comes into play by concretely formalizing design intentions, effectively bridging these two worlds.



Enhancing Project Continuity with Integrated Platforms



The aspiration to design collaboratively has ushered in a shift towards common platforms that ensure digital design continuity. This journey spans from the initial expression of needs to the definitive software definition, streamlining the process across all stages.




 Key Performance Indicators (KPIs): These metrics are crucial in monitoring project deployment, helping to track progress and pinpoint delays in meeting project expectations.



 Interconnection Identification: Formal modeling enables the identification of interconnections among various professionals involved, clarifying interfaces and input-output relations between different domains.





Formalizing through modeling allows us to identify progress and delays concerning project expectations.




This structured approach enhances time-to-market efficiency and aids in defining interfaces, rationalizing processes, and identifying potential bottlenecks or future optimizations.



Driving Collaborative Design with Systemic Modeling



The value added by modeling in system engineering is profound, especially in optimizing systems and organizational structures. By leveraging tools like CATIA Magic, teams can enhance their collaborative design efforts, leading to more effective and efficient outcomes.




 Simulation and Verification: Early-stage simulations help verify the feasibility and effectiveness of designs, reducing risks and improving the design process.



 Interface Definition and Rationalization: Clearly defined interfaces facilitate smoother interactions between domains, minimizing miscommunication and errors.





The added value of modeling enhances time-to-market, interface definition, and rationalization, identifying blockages and future optimizations.








Conclusion



The latest version of CATIA Magic marks a significant milestone in the realm of system engineering. By fostering a more integrated and dynamic modeling environment, it bridges various domains of expertise, enhances project continuity, and drives collaborative design. As organizations strive for digital continuity and efficiency, tools like CATIA Magic stand as pivotal enablers of innovation and progress.



&#8220;Modeling brings added value in optimizing time-to-market, defining interfaces, and identifying potential bottlenecks and future optimizations in both systems and organizational structures.&#8221;







Discover how CATIA Magic solutions can help you, and join the free CATIA MBSE Cyber Systems community to discuss with MBSE experts, and watch tutorials and demonstration videos.
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      <title>
      <![CDATA[ 3DEXPERIENCE WITH NVIDIA RTX: ON. ]]>
      </title>
      <link>https://blog--3ds--com.apsulis.fr/brands/catia/3dexperience-with-nvidia-rtx-on/</link>
      <guid>https://blog--3ds--com.apsulis.fr/guid/271116</guid>
      <pubDate>Tue, 22 Oct 2024 12:04:03 GMT</pubDate>
      <description>
      <![CDATA[ The demand for stunning visuals in gaming and serious digital experiences continues to rise, and developers have always faced the challenge of balancing image quality with performance. That is… until now.
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      </description>
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      <![CDATA[ 
Preamble: Technical Lingo



A quick word upfront: this blog post contains some technical terms and abbreviations, which might not be well-known to every reader. To assist the reading andunderstanding, [here at the bottom of this post] is a short glossary of some technical terms used in this article.



Max FPS. Max Quality. Powered By AI.



The demand for stunning visuals in gaming and serious digital experiences continues to rise, and developers have always faced the challenge of balancing image quality with performance. That is… until now. Breakthrough technologies like DLSS (Deep Learning Super Sampling) and DLAA (Deep Learning Anti-Aliasing) have come into play as true game changers. Both powered by advanced AI (Artificial Intelligence), these solutions deliver impressive improvements in rendering quality and efficiency, for the first time ever breaking the barrier of having to trade off one for the benefit of the other. By harnessing deep learning, DLSS upscales lower-resolution images to better-than-native quality while also boosting frame rates. DLAA focuses on maximizing image quality with an AI-based anti-aliasing technique. Together, they represent a new era of rendering technology that offers the best of both worlds: stunning visuals with high performance, making them game changers for both digital entertainment and industrial applications.



DLSS uses deep learning algorithms to upscale lower-resolution images into higher-resolution ones while maintaining high visual fidelity. It essentially renders fewer pixels and then uses AI to create the rest, allowing for smoother frame rates without loss in image quality.



Key benefits:




Performance boost: DLSS helps applications run at higher frame rates by rendering fewer pixels and using AI to upscale the images.



Image quality: DLSS (especially DLSS 2.0 and beyond) produces native image quality or even better.



Real-time AI processing: NVIDIA Tensor Cores (present in NVIDIA RTX GPUs) power DLSS, allowing AI models to perform complex upscaling and anti-aliasing in real time.








Application For Industrial Use Cases



Beyond gaming and entertainment, technologies like DLSS and DLAA are proving transformative in industrial applications, particularly in VR (Virtual Reality). For industries like automotive, aerospace, high tech, product design and many more, the demand for photorealistic virtual prototypes has never been higher. The key challenge is achieving the high frame rates required for a smooth VR experience while maintaining visual fidelity. DLSS addresses this by boosting frame rates through AI-powered upscaling, making it possible to implement real-time ray tracing without compromising performance. NVIDIA RTX ray tracing, known for its ability to render physically accurate reflections on surfaces, becomes more feasible in VR environments, unlocking new use cases such as visibility studies, material testing, and interactive design reviews. This combination of technologies allows engineers and designers to interact with true-to-life digital prototypes, enhancing decision-making and reducing the need for costly physical mock-ups.



Harnessing Cutting-Edge Technology



As a key innovator in our field, we at Dassault Systèmes follow a long tradition of cultivating a technology collaboration with NVIDIA, to develop and integrate hardware and software and to maximize the benefits of digitalization for our users. Our 3DEXPERIENCE platform utilizes several of NVIDIA’s advanced technologies, ranging from AI-powered image denoising for global illumination rendering to the support of the latest NVIDIA RTX GPUs for maximum performance and even real-time ray tracing.The applications stretch far beyond simply enhancing the performance and visual quality for our users: by combining the most advanced hardware and software, we even unlock new use cases for Design &amp; Engineering, which previously seemed out of reach. With NVIDIA’s DLAA, DLSS and RTX real-time ray tracing, combined with the natively integrated push-button VR on the 3DEXPERIENCE platform, our users can experience physically correct reflections on any surface as part of their visibility checks and interactive ergonomic assessments.







We continuously evolve our rendering in collaboration with NVIDIA. To learn more about NVIDIA RTX and the latest supported drivers on the 3DEXPERIENCE platform, visit:



RTX on NVIDIA website



Dassault Systèmes certified drivers on NVIDIA website



Continue your journey and discover our dedicated CATIA portfolio all around high-end rendering, interactive product experiences and visual decision-making for designers and engineers here.



And join the CATIA Design &amp; Styling community, free login



Glossary: The Technical Lingo Explained



Aliasing happens when you use pixels to draw lines or curves on a screen (also known as rasterized graphics). It’s the dreaded “stair steps effect” which causes undesired image artifacts and poor image quality. Aliasing also happens when tiny or distant objects are smaller than one pixel on the screen, causing the outlines of objects to flicker, which can be especially distracting in VR.Anti-Aliasing (AA) is the name for the different methods to alleviate aliasing artifacts, by using interpolated color gradients for the surrounding pixels. While some AA methods process the image in native resolution to smooth out sharp edges, others require the source image to render at increased resolution, which is then scaled down (this especially helps to improve sub-pixel size artifacts). The challenge for all AA methods is to smooth out artifacts, without blurring or smudging the overall image. AA often requires a tradeoff between the desired quality and the available performance.Deep Learning (DL) is a subset of machine learning and describes the training of artificial neural networks to process data. “Deep” refers to multiple, stacked layers of artificial neurons in the network. All the currently popular AI models for natural language assistants or image generation are based on Deep Learning.Frames Per Second (FPS) describe the number of images (frames) rendered and displayed per second, which determines the overall performance and smoothness of a visual experience. The importance of high FPS grows linearly with the overall interactivity of your scene; maximum FPS are required for an enjoyable virtual reality experience with stereoscopic 3D rendering. Another critical factor for performance, especially for industrial applications, is the typical use of large data sets (large assemblies and native, precise CAD geometry), which increases the demand for memory and computation capacity. While computer games typically employ heavy optimizations like limiting the polygon count and using pre-calculated LODs (Level of Detail) for their assets, industrial applications require working on native, live data sets in fast-paced environments, where designs constantly change without much time for content optimization.Graphic Processing Unit (GPU) is specialized hardware architecture initially designed and optimized for the fastest rendering and display of image information. Some computers have integrated (“onboard”) GPUs, but the most powerful ones are usually separate units (“graphic cards”) with their own cooling and dedicated memory and core architecture. Thanks to their extreme real-time processing power, today’s GPUs are also used for other live processing of heavy data, like analysis of sensor inputs or training models for artificial intelligence.NVIDIA RTX™ Ada Generation is the latest and highly decorated GPU ecosystem by NVIDIA. Offering the most advanced platform for ray tracing and AI technologies, RTX revolutionizes ways to play and create. Leading games and applications use RTX to deliver realistic graphics, incredibly fast performance, and new cutting-edge AI features like NVIDIA DLSS. Our 3DEXPERIENCE platform supports NVIDIA RTX GPUs natively.Super Sampling (SS) means that the source image is rendered at a higher resolution than the desired target output. The high resolution image offers higher fidelity and more detail, which is then scaled down to interpolate the details for a smooth result. It is a powerful method for Anti-Aliasing, but it also requires lots of computation power.Virtual Reality (VR) is considered the pinnacle of real-time visualization. It brings a stereoscopic, “true-3D” experience, which requires the application to render twice the load of FPS (different perspectives for left and right eye of the user). Stereoscopic VR is usually combined with tracking the user in real time with six DOF (Degrees of Freedom) for capturing rotation and translation in 3D space, to accurately translate all the user’s movements into the virtual scene. This creates a virtual 3D environment for the user to explore 3D CAD models in a fully spatial, life-like experience. VR offers the maximum advantage in Design &amp; Engineering to understand sizes and proportions, visibility and ergonomics and spatial relations without physical mock-ups. High FPS are essential for a convincing and enjoyable VR experience. The 3DEXPERIENCE platform offers native, push-button VR in all of our 3D applications, supporting most Virtual Reality devices available on the market via the OpenXR standard.




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      <title>
      <![CDATA[ Designing Layered Products Just Got Easier ]]>
      </title>
      <link>https://blog--3ds--com.apsulis.fr/brands/catia/designing-layered-products-just-got-easier/</link>
      <guid>https://blog--3ds--com.apsulis.fr/guid/270630</guid>
      <pubDate>Mon, 14 Oct 2024 18:23:45 GMT</pubDate>
      <description>
      <![CDATA[ New design capabilities from the 3DEXPERIENCE® platform include those specifically built to accelerate layered product development.
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      </description>
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      <![CDATA[ 
Layers upon layers upon layers&#8230;



Diapers, bandages, feminine hygiene products, paper towels.  What do all these things have in common?  Yes, they are all consumer products, but more accurately, they are all layered products.  A layered product is developed by adding layers of material on top of each other in the manufacturing process.  It’s particularly tricky as many of the layers needs to adhere to one another via glue or stitching or other means of adhesion.  The product designers behind these products?  Their job is particularly tricky as well. 



Manufacturers know all too well the complexities of working with soft layered product stacking.  The pace of products in these massive categories is high, putting pressure on designers to accelerate the innovation process.  Their goals are to deliver multi-discipline engineered products with high-quality product designs at a low cost. 



It&#8217;s all about the weight



When dealing with different layers of material that will go into a product, it’s critical the each material is used efficiently.  This means utilizing the material to minimize the amount that is ‘trimmed’ off and disposed of during the manufacturing process.  This is called ‘trim weight’.  Trim weight is important because it is a cost….the material is an expense and some of it ends up being discarded through the cutting and production process.   Minimizing the trim weight keeps costs down.



It’s important to have design tools that accurately measure area and weight values associated with:




Net area and net weight



Gross area and gross weight



Trim area and trim weight




The good news is that with the right digital design solution, managing all this complexity and weight doesn’t have to be so daunting.











Optimizing layered product design



New design capabilities from Dassault Systemes’ 3DEXPERIENCE® platform can accelerate layered product development.  The solution, called ‘Layered Product Designer’, enables designers to create the complex soft layered product stacking with ad-hoc representations and accurate weight monitoring.   Designers using the solution can create their innovative designs with an immediate assessment of the weight computations based on net, trim and gross formulas.  The solution is powered by CATIA, providing a powerful and easy-to-use set of capabilities to design models assembled by several layers and materials.  The solution addresses the products manufactured through production lines by capturing different transformations such as fold, cut perforation and bonding actions. 











Traditionally, these products are made with an extensive amount of manual file transfers between designers and simulation specialists.  With up to hundreds of simulations per product, this manual process is time consuming and costly.   By using a collaborative platform, this data transfer is seamless, enabling swift action between all stakeholders involved. Unifying modeling and simulation enables faster optimization of products, and swifter time-to-market.



Cost is critical in categories of this size



Layered products help give the ‘fast moving consumer goods (FMCG)’ industry its name.  The diapers market is expected to grow from $63.2 billion in 2023 to $110.0 billion in 2033, a 5.7% compound annual growth rate over that time.  The global feminine hygiene products market is anticipated from grow from $43.2 billion in 2024 to $73.1 billion in 2032, a 7.8% CAGR.   This means that even a small reduction in material for a product can translate into enormous cost savings. 











Moving forward with the right solution for your needs



The exacting nature of layered product development and the critical importance of product quality and weight efficiency makes choosing a specialized design solution vital to the future growth of beauty companies.&nbsp;



Please visit our site&nbsp;where we detail the solution being used by leaders in the layered product categories and watch a demo on how the solution works.&nbsp;&nbsp; While you’re at it, feel free to download our ebook and solution brochure.




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      <title>
      <![CDATA[ Revolutionizing Sportswear: ASICS Personalization Studio ]]>
      </title>
      <link>https://blog--3ds--com.apsulis.fr/brands/catia/revolutionizing-sportswear-asics-personalization-studio/</link>
      <guid>https://blog--3ds--com.apsulis.fr/guid/270452</guid>
      <pubDate>Thu, 10 Oct 2024 12:49:43 GMT</pubDate>
      <description>
      <![CDATA[ A deep dive into ASICS’ innovative approach to personalized footwear using cutting-edge technology from design to additive manufacturing
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      </description>
      <content:encoded>
      <![CDATA[ 

A deep dive into ASICS&#8217; innovative approach to personalized footwear using cutting-edge technology from design to additive manufacturing








The Dynamic Evolution of Sportswear



The sportswear industry is a booming market, with revenues expected to surpass $164 billion in 2023. Catering to this vast market is a complex task, involving mass production and the ability to address individual needs. ASICS, a leader in athletic footwear, is pioneering a new approach to meet these diverse requirements by introducing a personalization studio at Dassault Systèmes&#8217; campus. This initiative aims to combine advanced technologies like 3D printing and custom modeling to offer unique products tailored to individual consumers.




&#8220;We dream of providing our personalization product to all consumers.&#8221;Shingo TAKASHIMA, Manager, Virtual Twin Research Team, Future Creation Dept., ASICS








The Concept of ASICS Personalization Studio



ASICS has a long-standing commitment to delivering functional shoes tailored to athletes&#8217; needs. The company&#8217;s latest venture takes this commitment a step further by aiming to provide personalized products to every consumer. This requires innovative technologies and fresh ideas, which is why ASICS has collaborated with Dassault Systèmes to bring their vision to life.



The studio leverages additive manufacturing, cutting-edge production technologies, and advanced 3D modeling. This collaboration has been in the works for over five years, focusing on achieving a seamless transition from mass production to personalized manufacturing.











Advanced Collaboration with CATIA



Personalization presents unique challenges, particularly in automation and collaboration. To create custom insoles, ASICS uses our 3D modeling software CATIA. The journey involves several intricate steps, from the foot scan to the finished insole.








&#8220;We need a very robust and fast automatic process on the platform.&#8221;Genki HATANO, Lead Researcher, Green Manufacturing Research Team, Future Creation Dept., ASICS








The Technology Behind Personalization



The process begins with capturing the foot shape using a custom-developed mobile phone application. This data is then input into CATIA 3DEXPERIENCE, where it undergoes a series of transformations to convert the foot shape from a deformed, standing shape to an undeformed, neutral shape, using a design parametric application with algorithm, called Visual Scripting in CATIA. This approach allows ASICS to design insoles with more flexibility and alternative patterns that support the foot during movement, rather than merely replicating its shape.











The final insole design is created using CATIA Lattice Design, based on a highly sensitive lattice structure that requires precise control over thickness. Even a 0.1-millimeter change can significantly impact the insole&#8217;s function and feel. This level of detail is achieved through CATIA&#8217;s Visual Scripting capabilities, which, on the 3DEXPERIENCE platform, facilitate collaboration and knowledge sharing among team members.



















Each step of Manufacturing process is meticulously monitored and controlled using DELMIA Apriso, ensuring a consistent and high-quality output.



Sustainability and Future Goals



ASICS is not only focused on personalization but also on sustainability. The company aims to create personalized products in an environmentally friendly manner. To foster sustainable innovation by automating lifecycle assessment studies at early design stage, Eco Designer role provides a precise and live representation of the material composition of any configured virtual twin and calculates the environmental footprint for each product. This commitment to sustainability aligns with ASICS&#8217; broader vision of promoting a sound mind, body, and environment.




&#8220;Personalization and sustainability are a very important combination.&#8221;Genki HATANO, Lead Researcher, Green Manufacturing Research Team, Future Creation Dept., ASICS








ASICS plans to expand this technology beyond insoles to create entire shoes for each individual. By collecting data and feedback from users, ASICS and Dassault Systèmes aim to continually improve their methods and accelerate the project.



The Road Ahead



The ASICS Personalization Studio is just the beginning. The collaboration with Dassault Systèmes will continue to evolve, incorporating virtual twin technology to further refine and enhance the personalization process. This partnership holds the promise of transforming the future of sportswear, making personalized, sustainable products accessible to all.




&#8220;We would like to collect the data and get the feedback from users to improve our method to the next level.&#8221;Genki HATANO, Lead Researcher, Green Manufacturing Research Team, Future Creation Dept., ASICS








ASICS&#8217; innovative approach to personalized footwear is set to revolutionize the sportswear industry. By leveraging advanced 3D modeling, printing technologies, and a commitment to sustainability, ASICS aims to offer unique, high-quality products tailored to individual needs. This initiative not only addresses the complexities of mass production but also paves the way for a more sustainable future in sportswear.



Discover the future of personalized sportswear with ASICS and CATIA. Explore the innovative technologies behind the ASICS Personalization Studio and experience the perfect fit tailored just for you.















Want to know more about Visual Scripting and Lattice Design? Check out our introductions and webinars on the topic below:




Visual Scripting introduction



Visual Scripting webinar



Lattice Design introduction



Lattice Design webinar




And continue the discussion by joining our CATIA Creative Design &amp; Styling community, to access tutorials, best practices, and exchange with experts and peers!
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      <title>
      <![CDATA[ Engineering the Future: Emerging Trends, Technologies, and Education ]]>
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      <link>https://blog--3ds--com.apsulis.fr/brands/catia/engineering-the-future-emerging-trends-technologies-and-education/</link>
      <guid>https://blog--3ds--com.apsulis.fr/guid/269517</guid>
      <pubDate>Mon, 23 Sep 2024 13:30:55 GMT</pubDate>
      <description>
      <![CDATA[ The future of engineering isn’t just on the horizon—it’s here, reshaping industries and redefining possibilities. 
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      <![CDATA[ 
The future of engineering isn’t just on the horizon—it’s here, reshaping industries and redefining possibilities. In today’s fast-paced world, the engineering field is evolving at lightning speed, powered by breakthrough technologies and forward-thinking educational models. For deans and educators, staying ahead of these changes is essential to equipping the next generation of engineers with the right software solutions they need to thrive in the Industry.



Three experts, Olivier Sappin, Valérie Ferret and Professor Stark, will share how game-changing trends are shaping the future of engineering, from cutting-edge tech to innovative teaching approaches.



Ready to prepare your students for what’s next? Let’s get started!



The Rise of Digital Transformation in Engineering




“The trends we are experiencing now are a far cry from just a few years ago. It’s not just about 3D design anymore; it’s about cutting lead times and managing complex products across mechanical, electrical, and software engineering.”



Olivier Sappin – CEO of CATIA




Digital transformation is shaking up every corner of engineering, reshaping everything from design and simulation to manufacturing and maintenance. Digital solutions are making processes faster and more precise. As Olivier Sappin, CEO of CATIA, points out, “The trends we are experiencing now are a far cry from just a few years ago. It’s not just about 3D design anymore; it’s about cutting lead times and managing complex products across mechanical, electrical, and software engineering.”



At the heart of this revolution is Industry 4.0, which is fusing technologies like IoT, AI, and data analytics to create smarter, more efficient, and sustainable manufacturing processes.



Sustainability is also front and center, as engineers are now focused on crafting solutions that reduce environmental impact by adopting circular design principles, cutting waste, and reusing materials. A game-changer to reach these sustainability goals is the rise of virtual twins—digital replicas that let engineers test and perfect designs before they even hit the production floor. Whether in automotive or infrastructure, these virtual tools drive unprecedented accuracy, efficiency, and innovation.



The engineering world is evolving fast, and these advancements are leading the charge.



Advanced Technologies Shaping the Future




&#8221; Companies are seeking engineers who can quickly evaluate the environmental impact of their designs, including CO2 emissions, water consumption and also performance metrics like safety. A mastery of both modeling and simulation, also called MODSIM, is essential for addressing complex challenges.”



Olivier Sappin – CEO of CATIA




Advanced technologies are revolutionizing engineering, transforming how engineers operate and the skills they need to thrive. AI and machine learning are now essential solutions, allowing engineers to handle vast amounts of data, refine designs, and even anticipate maintenance needs. Picture AI is selecting the perfect materials for a project by crunching performance data and assessing environmental impact—this is a new reality.



Cyber-physical systems (CPS) are taking innovation to the next level by blending computing, networking, and physical processes to create smart, responsive systems. From autonomous vehicles to smart grids and cutting-edge robotics, CPS is driving the future of technology.



And let&#8217;s not forget modeling and simulation (MODSIM) a product development approach, which let engineers experiment with multiple design options in a virtual environment at early stage. This technology accelerates development and boosts precision, making the engineering process faster and more accurate. As the CEO of CATIA Olivier Sappin highlights “Companies are seeking engineers who can quickly evaluate the environmental impact of their designs, including CO2 emissions, water consumption and also performance metrics like safety. A mastery of both modeling and simulation, also called MODSIM, is essential for addressing complex challenges.”.



These advancements are not just enhancing engineering—they’re redefining it, setting the stage for a future where technology and creativity coexist.



Preparing Future Engineers




&#8220;We need to guide the next generation of engineers (…) to understand that we have now a different task, which we didn’t have in the past. Sustainability now demands a full lifecycle approach.&#8221;



Pr. Stark &#8211; TU Berlin








The rapid pace of technological advancement is reshaping the skills engineers need, and educational institutions must adapt to stay ahead. To prepare students for the future, schools need to integrate these advanced technologies into their curriculum, giving students hands-on experience with the tools that are driving innovation.



However, mastering technology alone isn’t enough. Today’s engineering challenges often span multiple disciplines, so programs must encourage interdisciplinary learning. At the same time, with sustainability taking center stage—students need to be trained to consider the environmental impact of their designs and embrace sustainable practices from the start.



As Pr. Rainer Stark from TU Berlin shrewdly observes “We need to guide the next generation of engineers (…) to understand that we have now a different task, which we didn’t have in the past. Sustainability now demands a full lifecycle approach.&#8221;.



All of this is achievable through collaboration, a crucial ingredient for success in modern engineering. Schools can instill best practices from leading companies by creating environments where teamwork thrives. Peer-to-peer learning also plays a key role, as students share knowledge and work together on projects, building a strong community and fostering deeper understanding. Tools like virtual labs and online project management platforms can make it easier for students to collaborate, no matter where they are.



Partnering with industry is another crucial step. By working with companies to offer internships, co-ops, and guest lectures, institutions can give students real-world experience that prepares them for life beyond the classroom.







Building an Inclusive Engineering Workforce




&#8220;Indeed, we see that Gen Z, or the Zoomers, are incredibly proactive and eager to contribute. We should highlight to them that science, industry, and engineering offer unique opportunities to help shape and build a new, more sustainable world.&#8221;



Valérie Ferret &#8211; 3DEXPERIENCE Edu VP at Dassault Systèmes




Building an inclusive engineering workforce isn’t just a nice-to-have—it’s essential for sparking innovation and keeping the industry at the cutting edge. To make this vision a reality, educational institutions must actively work to attract and support students from all backgrounds.



Imagine a world where STEM careers are not just an option but an exciting opportunity for everyone. By reaching out to Gen Z, including women, schools can play a pivotal role in changing the narrative. Targeted outreach programs, scholarships, and mentorship can break down barriers and create pathways to success.



But it doesn’t stop there. For students to truly thrive, they need a learning environment that supports them every step of the way. This means providing resources and tailored support that cater to diverse needs, ensuring that every student has the chance to shine.



Encouraging more women to pursue engineering careers is another crucial piece of the puzzle. By showcasing engineering as a rewarding and viable path, we can inspire a new generation of female engineers, enriching the field with fresh perspectives and creativity. What stands out most is that the next generation of engineers, especially women, often prioritize purpose when selecting their career paths. According to Valérie Ferret, 3DEXPERIENCE Edu VP at Dassault Systèmes, engineering is a unique way of finding meaning and contributing to a more sustainable world: “&#8221;Indeed, we see that Gen Z, or the Zoomers, are incredibly proactive and eager to contribute. We should highlight to them that science, industry, and engineering offer unique opportunities to help shape and build a new, more sustainable world.&#8221;.



Incorporating these strategies helps build a more inclusive and dynamic engineering future. When educational institutions embrace diversity and support all students, they lay the groundwork for a richer, more innovative engineering landscape.



Conclusion: The Future of Engineering Education



The future of engineering education is incredibly promising, with a wealth of exciting developments on the horizon. To ensure students are well-prepared for tomorrow’s challenges, educational institutions must stay ahead of emerging trends. The rise of online learning is transforming how engineering is taught, offering flexible options that cater to diverse learning styles and schedules. The virtual twin is also making waves, providing immersive experiences that can bring complex concepts to life and enhance the curriculum.



However, technical skills alone are no longer sufficient. Engineers also need to excel in soft skills such as communication, teamwork, and problem-solving. Programs should emphasize these crucial abilities to fully prepare students for the modern workplace.



By embracing these advancements and fostering a collaborative, multidisciplinary, and inclusive learning environment, educational institutions can equip the next generation of engineers to lead with innovation and sustainability.



Want to learn more? Dive into how you can integrate these trends into your curriculum and join us in shaping the future of engineering.
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      <title>
      <![CDATA[ Embracing the Future with 3DEXPERIENCE CATIA ]]>
      </title>
      <link>https://blog--3ds--com.apsulis.fr/brands/catia/embracing-the-future-with-3dexperience-catia/</link>
      <guid>https://blog--3ds--com.apsulis.fr/guid/269091</guid>
      <pubDate>Fri, 13 Sep 2024 10:12:38 GMT</pubDate>
      <description>
      <![CDATA[ We invite you and your business ecosystem to discover our subject matter expert Matthieu SCHEERENS,  Design Production Manager from BEAM3
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      <![CDATA[ 
In this video, Mathieu SCHEERENS from BEAM3 and Jonathan Asher discuss the advantages and applications of 3DEXPERIENCE CATIA in project management and operational efficiency. They explore how integrating various modules within the 3DEXPERIENCE platform helps achieve continuous operational continuity and addresses the challenges of digital and climate change adaptation. The conversation also delves into the benefits of using CATIA for lifecycle management, computational performance, and modeling efficiency.




The 3DEXPERIENCE platform enhances project management through digital continuity, transforming global management into operational management.



Adapting business rules to meet both our needs and those of our clients is crucial for efficiency and better production.



3DEXPERIENCE CATIA allows for intelligent, parameterized design adaptable to any user profile, enhancing usability across diverse professional backgrounds.








Unlocking the Full Potential of 3DEXPERIENCE CATIA



The 3DEXPERIENCE CATIA platform offers a comprehensive suite of tools that can revolutionize the way companies handle project management and product development. From lifecycle management to advanced modeling capabilities, CATIA is designed to meet diverse needs in a unified environment.




&#8220;The ability to manage the lifecycle directly within the tool is a significant advantage, allowing access to crucial information regardless of location within the 3DEXPERIENCE.&#8221; said Matthieu Scheerens from BEAM3












Overcoming Challenges in Project Management



Project management often comes with its own set of challenges, especially when trying to integrate new digital and environmental standards. It requires not just the right tools, but also an effective strategy for implementation and change management.




&#8220;The main challenge today is convincing stakeholders of the necessity to change, both in terms of climate and digital transformation.&#8221; says Matthieu Scheerens from BEAM3








Common Challenges from Matthieu




Resistance to Change: Stakeholders may be hesitant to adopt new methodologies.



Complex Solutions: The tools can be overwhelming without proper guidance.



Customization Needs: Each project may require unique adjustments to the software.



Methodology: Without a structured approach, teams can easily lose direction.



Continuous Adaptation: Rules and requirements often need to be updated to meet evolving needs.








His solutions




Comprehensive Training: Providing in-depth training can ease the transition for stakeholders.



Tailored Methodologies: Developing customized workflows ensures that the software&#8217;s capabilities are fully utilized.



Ongoing Support: Continuous support and the integration of additional tools like Iterop and personalized widgets can address specific client needs.



Clear Communication: Regular updates and transparent communication can help in aligning all stakeholders with the project&#8217;s goals.



Adaptive Framework: The ability to adapt rules and methodologies as per the project requirements ensures long-term success.




Today&#8217;s project managers need to embrace digital transformation while ensuring that all team members are on the same page, and CATIA provides the tools necessary to achieve this.



And key advantages




Lifecycle Management: CATIA allows for seamless management of a project&#8217;s lifecycle within the tool itself, ensuring all relevant information is easily accessible.



Advanced Calculations and Modeling: The software excels in both computational tasks and efficient modeling, making it a powerful asset for any team.



Unified Environment: By integrating various modules, CATIA creates a continuous operational workflow that enhances project management.



Customizable Solutions: The platform can be tailored to meet specific client needs, making it highly adaptable.



Scalability: CATIA supports extensive scalability, allowing businesses to grow and adapt over time.




CATIA’s robust framework ensures that users can transform global project management into a more operational and streamlined process.



The Transformative Benefits of Using CATIA



CATIA’s integration within the 3DEXPERIENCE platform offers countless benefits, from increased productivity to enhanced collaboration. Utilizing CATIA to its fullest potential can lead to significant improvements in project outcomes.




&#8220;Using CATIA to its full potential requires an environment tailored to client needs, with intelligent, parameterized, and standardized design.&#8221; says Matthieu Scheerens from BEAM3








Conclusion



In the realm of corporate training and project management, the 3DEXPERIENCE CATIA platform stands out as a game-changer. It offers unparalleled advantages, addresses common challenges effectively, and provides numerous benefits that can transform project outcomes. By leveraging CATIA’s full potential, companies can achieve a seamless, efficient, and highly productive operational environment.




&#8220;The use of such a powerful tool allows teams to become more efficient and progress continuously over time.&#8221; says Matthieu Scheerens from BEAM3








Discover 3DEXPERIENCE CATIA solutions in Buildings and Infrastructures and join thousands of users and experts in the CATIA Buildings and Infrastucture community, it&#8217;s free!
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      <title>
      <![CDATA[ MBSE can accelerate workforce growth in Australian defence industry ]]>
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      <link>https://blog--3ds--com.apsulis.fr/brands/catia/mbse-workforce-growth-australia-defence/</link>
      <guid>https://blog--3ds--com.apsulis.fr/guid/269130</guid>
      <pubDate>Thu, 12 Sep 2024 09:24:10 GMT</pubDate>
      <description>
      <![CDATA[ Model-Based Systems Engineering (MBSE) with Dassault Systèmes’ 3DEXPERIENCE platform accelerates workforce growth in Australia’s defence industry by preserving and sharing critical knowledge while integrating digital-native skills into complex system development.
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      <![CDATA[ 
Shaun Edsall, Client Executive, Dassault Systèmes



The defence manufacturing industry is crucial for developing sovereign industrial capabilities in Australia amid new geopolitical realities and supply chain disruptions. However, reliance on traditional processes presents a significant challenge in attracting and retaining modern, digital-native workforces while preserving essential knowledge gained by experienced workers.



As more senior staff exit the industry or move across specialisations, traditional systems used for product development and system engineering fail to capture and share their knowledge for upskilling the existing workforce. Concurrently, there is a persistent skills shortage in the defence industry in the region.



Companies face increasing competition from both large organisations and a growing base of small and medium-sized enterprises, intensifying the struggle to retain talent. Additionally, the rising complexities and costs of system engineering and product development impact program management and execution. Government demands on defence manufacturers and OEMs are also increasing, focusing on integrating multiple data sources, systems, and interfaces, which further complicates projects leading to increasing costs and quality issues.



Why use MBSE in defence?







One way leading organisations are responding to this challenge in digital engineering is through adopting a strong Model-Based System Engineering (MBSE) approach. MBSE fundamentally transforms engineering, enabling a mature and data-driven approach to deliver complex, multi-faceted programs. In turn, organisations can utilise MBSE to retain talent, share knowledge, and upskill the workforce in the defence industry. This approach allows for blending experienced engineering talents with an emerging, digital-savvy workforce in order to achieve a robust engineering discipline.




MBSE enables the modelling and simulation of complex systems, reducing costs and risks while enhancing decision-making. Organisations can design and analyse systems more efficiently and effectively with MBSE, ultimately delivering better systems and products.




Digital engineering and MBSE drive sustainable manufacturing by increasing reuse through model-based components and identifying defects and challenges early in the manufacturing cycle. It also serves as a funnel for requirements management and ensures traceability to meet commonwealth requirements, enabling smoother deployment, testing, and verification.



Dassault Systèmes makes adopting MBSE easier







Dassault Systèmes advances methodologies, frameworks, and enabling solutions to address the needs of MBSE capabilities in the rapidly changing defence industry. This includes leveraging leading languages such as SysML and aligning to key principles such as the recently released Department of Defence Digital Engineering Strategy. 



Digitally connecting development artifacts throughout the model value chain ensures alignment of upstream and downstream development processes, delivering digital continuity.




Leveraging cutting-edge solutions is essential for business transformation in the defence industry. In this regard, Dassault Systèmes&#8217; 3DEXPERIENCE platform has proven it can enable the true value of MBSE while supporting technological capabilities that drive agility, quality, and innovation.




How MBSE helps retain talent and knowledge in defence



Digital engineering and MBSE can be key factors in workforce retention by blending the knowledge and skills of engineers familiar with digital tools with that of system engineers of an earlier generation who are not. Additionally, recent engineering graduates across many disciplines are typically comfortable with digital engineering but lack experience with large-scale defence programs.



Building MBSE capability as a key organisational pillar fosters better collaboration across the entire enterprise among all generations of workers and allows for further talent mobility. This flexibility enables younger workers to move between specialisations without the organisation losing the intrinsic value of their expertise, which can be a key talent attraction factor as anecdotally it shows that more often workers look for new experiences and challenges. Conversely, it helps those who have spent many years on a program to share and contribute to other emerging programs as their knowledge is digitally captured through modelling.




In model-based programs, all knowledge and processes are documented and compartmentalized within the models based on specialization. These models are easily shareable, ensuring seamless collaboration and creating a &#8216;live model,&#8217; which mitigates the risk of single points of failure when people move on from their roles.




Organisations can leverage this for re-usability and establishing standards and defined approaches within capabilities and programs, and further improve their ability to deliver to scope, on time and to budget.



The 3DEXPERIENCE platform’s role in retaining defence talent



According to a survey by Lifecycle Insights, 19% of projects are cancelled before delivery, and 44% miss their delivery dates, while only 18% are delivered on time. Integrating technology, strategies, simulation, design exploration, and decision analytics earlier in the lifecycle leads to a deeper understanding of the design space and helps organisations make better decisions, avoiding downstream risks.



The increasing complexity of defence systems, and evolving missions and threats require greater agility. Budgetary constraints demand predictable delivery and informed decision-making, maximising capability within affordability limits. A transformation towards a model-based approach using the 3DEXPERIENCE platform is inevitable. This platform improves program performance, ensures job flexibility, and retains knowledge regardless of personnel changes.







At the University of Adelaide, 2,000 engineers are trained on Dassault Systèmes’ technology annually, including advanced MBSE tools. The 3DEXPERIENCE platform inspires them to join the defence industry and share digital tools and threads with experienced engineers and naval architects.



Dassault Systèmes provides MBSE tools on the 3DEXPERIENCE platform for seamless collaboration and knowledge sharing for defence products like submarines and frigates. Transitioning from a document-based to a model-based enterprise framework captures knowledge as models and practices model-based program management, enhancing reusability and traceability from requirements gathering to product modelling.




The model-first approach is used through verification and testing to retain knowledge within the organization, easily train employees, and use the knowledge as building blocks for future expansion.




The key is to draw knowledge from people to create working models simulated on the 3DEXPERIENCE platform, ensuring no loss of skills when experienced personnel leave, along with product sustainability and resilience. This institutionalisation of knowledge allows the digital-native generation to integrate and adopt it seamlessly, making it easier for new workers to contribute to projects like warships and submarines, eliminating single points of failure.



A model-based engineering approach also enables easier internal mobility, allowing workers to move between projects and pursue their own ideal career development goals. This approach reduces the risk of losing younger workers, ensuring the sustainability and growth of the industry within Australia, especially as the Australian government aims to boost sovereign capabilities. An enterprise-first approach to MBSE helps people acquire skills faster, making their work more efficient, meaningful, and enjoyable, thus increasing retention rates. This in turn enables defence industry organisations of all sizes to better deliver these critical programs amid increasing complexity, ensuring robust industrial capability for organisations and, more importantly, ensuring true progress for Australia in the defence sector.







Discover Dassault Systèmes solutions in MBSE through CATIA rôles and apps here.
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