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                    <title><![CDATA[BMW Group Newsroom Belux]]></title>
                    <link>https://newsroom.bmwgroup.com/emea/nl-be/</link>
                    <description></description>
                    <language>nl-be</language>
                    <lastBuildDate>Sat, 10 Oct 2026 18:19:25 +0200</lastBuildDate>
                    <pubDate>Thu, 28 May 2026 11:32:00 +0200</pubDate>
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                        <title><![CDATA[BMW Group Newsroom Belux]]></title>
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                        <link>https://newsroom.bmwgroup.com/emea/nl-be/</link>
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                        <title>BMW Group en Mistral AI geven een impuls aan AI in botsingssimulaties</title>
                        <link>https://newsroom.bmwgroup.com/emea/nl-be/bmw-group-en-mistral-ai-geven-een-impuls-aan-ai-in-botsingssimulaties/</link>
                        <guid>https://newsroom.bmwgroup.com/emea/nl-be/bmw-group-en-mistral-ai-geven-een-impuls-aan-ai-in-botsingssimulaties/</guid><pp:caseid>816153</pp:caseid><pp:summary><![CDATA[+++ Gebruik van industriële datasets voor het trainen van AI-modellen +++ AI verbetert de analyse van botsingssimulaties +++ Combinatie van technische expertise en geavanceerde AI-mogelijkheden +++]]></pp:summary><description><![CDATA[<div class="imported-article"><p>+++ Gebruik van industriële datasets voor het trainen van AI-modellen
  +++ AI verbetert de analyse van botsingssimulaties +++ Combinatie van
  technische expertise en geavanceerde AI-mogelijkheden +++</p>
<p>//</p>
<p>
  <strong>Munich / Paris. </strong> The BMW Group and Mistral AI are
  partnering to advance the use of AI in crash simulation. The aim is to
  improve quality, accuracy and speed in complex engineering tasks. The
  collaboration marks a first step towards scaling domain-specific AI
  across further areas of vehicle development and the BMW Group value
  chain.   </p>
<div>
  <p>“For the BMW Group, the use of industrial data is a key factor in
    translating artificial intelligence into value creation,” said Dr.
    Franz Decker, CIO and Senior Vice President of the BMW Group. “By
    combining our engineering datasets with Mistral AI’s model training
    capabilities, we are building specialized AI which supports complex
    development tasks.”  </p>
</div>
<div>
  <p>
    <strong>Complexity and Data Volume in Crash Simulation</strong>  </p>
</div>
<div>
  <p>The scale and complexity of crash simulation at the BMW Group
    underline the need for domain-specific AI. Each week, the company
    runs thousands of virtual crash simulations, generating vast amounts
    of engineering data. Over time, this has resulted in a historical
    dataset of over one petabyte of crash simulation data. It provides
    highly detailed insights into vehicle structures and material
    behaviour, forming a unique foundation for training an industrial AI
    model.  </p>
</div>
<div>
  <p>“As Industrial AI becomes the new frontier for AI, we are proud to
    partner with the BMW Group” said Marjorie Janiewicz, Chief Revenue
    Officer of Mistral AI. “This collaboration shows how industry
    specific AI models can help solve complex engineering challenges
    such as crash simulation.”  </p>
</div>
<div>
  <p>
    <strong>Large Industry Model as technical foundation</strong>  </p>
</div>
<div>
  <p>To scale this approach, the BMW Group is focusing on so-called
    Large Industry Models (LIM). These are AI systems trained on
    industry specific engineering and simulation data from vehicle
    development and safety testing. Unlike general‑purpose AI systems,
    LIMs embed domain‑specific knowledge directly into the AI model.
    This requires not only industrial data, but also deep domain
    expertise and technical environments that allow AI systems to learn
    directly from BMW’s development processes.  </p>
</div>
<div>
  <p>The partnership highlights the importance of industrial data for
    the next phase of data‑driven value creation and strengthens the BMW
    Group’s AI and innovation ecosystem.  </p>
</div><div class="import-contacts-wrapper"><div class="import-contact">Press Contact: Jeroen Lissens<br>Tel: +32-3-890-9708<br>e-mailadres: <a href="mailto:jeroen.lissens@bmw.be">jeroen.lissens@bmw.be</a></div></div></div>]]></description><category><![CDATA[Press Release,Research &amp; Development,Artificial Intelligence]]></category>
            <pubDate>Thu, 28 May 2026 11:32:00 +0200</pubDate>
            <pp:lastModified>Thu, 28 May 2026 09:32:00 +0000</pp:lastModified>
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                        <title>Efficiënt, duurzaam, digitaal: Nieuwe BMW Group fabriek Debrecen start vanaf eind oktober met de productie van de BMW iX3</title>
                        <link>https://newsroom.bmwgroup.com/emea/nl-be/efficient-duurzaam-digitaal-nieuwe-bmw-group-fabriek-debrecen-start-vanaf-eind-oktober-met-de-productie-van-de-bmw-ix3/</link>
                        <guid>https://newsroom.bmwgroup.com/emea/nl-be/efficient-duurzaam-digitaal-nieuwe-bmw-group-fabriek-debrecen-start-vanaf-eind-oktober-met-de-productie-van-de-bmw-ix3/</guid><pp:caseid>816208</pp:caseid><pp:summary><![CDATA[+++ Eerste BMW Group‑werkplaats die tijdens normale bedrijfsvoering volledig op elektriciteit uit hernieuwbare bronnen draait; geen fossiele brandstoffen gebruikt +++ Gebruik van elektrische stroom in de lakstraat levert CO₂e-reductie op bij de productie van de BMW iX3 +++ Typische iFACTORY: virtuele planning en testen, efficiënte processen en structuren, slimme inzet van AI +++ Hoogspanningsbatterijen ter plekke samengesteld +++]]></pp:summary><description><![CDATA[<div class="imported-article"><p>+++ Eerste BMW Group‑werkplaats die tijdens normale bedrijfsvoering
  volledig op elektriciteit uit hernieuwbare bronnen draait; geen
  fossiele brandstoffen gebruikt +++ Gebruik van elektrische stroom in
  de lakstraat levert CO₂e-reductie op bij de productie van de BMW iX3
  +++ Typische iFACTORY: virtuele planning en testen, efficiënte
  processen en structuren, slimme inzet van AI +++
  Hoogspanningsbatterijen ter plekke samengesteld +++</p>
<p>//</p>
<div>
  <p>
    <strong>Debrecen.</strong> The BMW Group has entered the final phase
    before the first Neue Klasse model rolls off the assembly line.
    Series production of the new BMW iX3 will get underway in late
    October at the BMW Group plant in Debrecen, Hungary, as the newest,
    most innovative manufacturing facility in the company’s global
    production network officially begins work.</p>
  <p>“The start of series production for the BMW iX3 signals a new era
    of automotive manufacturing. Our new plant in Debrecen has been
    designed and built fully in line with our strategic vision of the
    iFACTORY. Digital from the very beginning, the plant will offer a
    new dimension in efficient production without fossil fuels,” says
    Milan Nedeljković, member of the Board of Management of BMW AG
    responsible for Production.</p>
  <p>The BMW iFACTORY represents a strategic vision of production, built
    on streamlined, efficient structures, responsible resource
    management, economical use of cutting-edge digital innovations and a
    strong focus on employees. The BMW Group has also registered new
    patents for a large number of innovative systems and processes at
    Plant Debrecen.</p>
  <p>“We have taken on the challenge of building a completely new
    vehicle as the first job at an entirely new plant – and doing so in
    the leanest, most efficient way possible. We have simplified
    processes, reduced complexity, digitally validated each individual
    operation and systematically leveraged expertise across our global
    network. The result is this plant, with its efficient production,
    innovative processes and the flexibility to integrate additional
    models,” says Hans-Peter Kemser, head of BMW Group Plant Debrecen.</p>
  <p>As with any new model, capacity for the new BMW iX3 will be
    gradually ramped up in stages after the start of production.
    Spearheading the arrival of the Neue Klasse, the iX3 showcases the
    latest design and technology innovations that will define the
    brand's entire model range in the future. Between now and 2027, the
    technologies in the Neue Klasse will be integrated into 40 new
    models and model updates.</p>
  <p>
    <strong>From virtual factory to reality</strong></p>
  <p>The guiding principles of the BMW iFACTORY have been fully
    implemented in the technologies employed at the new BMW Group plant
    in Debrecen. For example, Plant Debrecen was planned and built
    digitally from the outset, and celebrated its virtual start of
    production back in March 2023 in the BMW Group’s Virtual Factory.
    This approach allowed every operation to be tested virtually in
    advance, enabling production lines to be installed in the buildings
    exactly as in the digital twin.</p>
  <p>
    <strong>Optimal processes for all plant technologies</strong></p>
  <p>With an optimised value stream and efficient systems,
      the <strong>press shop</strong> guarantees a high level of
    productivity. The BMW Group continues to follow its proven strategy
    of using the same tools and presses throughout its global network.
    This optimises capacity utilisation within the network by allowing
    press tools to be deployed at multiple locations and enabling staff
    to be trained in-network.</p>
  <p>The <strong>body shop</strong>, in particular, benefits from prior
    digital planning and validation. Every process detail was digitally
    simulated in advance to determine the ideal value stream and ensure
    that each of the nearly 1,000 robots was optimally positioned. From
    the outset, close collaboration between development and production
    teams led to high production efficiency and maximum customer
    benefit. For example, the number of joining methods was
    significantly reduced, lowering overall complexity. Design features
    integrated early in development are also evident in the details of
    the Neue Klasse, such as the invisible door seal. This creates a
    visual connection between the window and the door, resulting in a
    unique look. In addition, maximising the space available for the
    battery in the body structure – and thus the size and performance of
    the battery – directly benefits the customer.</p>
  <p>At BMW Group Plant Debrecen, the <strong>paint shop</strong> plays
    a critical role in <strong>significantly reducing the
      CO<sub>2</sub>e footprint of the BMW iX3</strong>. Production of
    the new BMW iX3 will generate a total of about 80kg CO₂e (scope 1/2
    emissions). This figure covers CO₂e emissions from Plant Debrecen,
    as well as in-house parts production at other BMW Group facilities,
    including components manufactured in Landshut, for example. This
    represents a <strong>reduction of approx. two-thirds compared to
      production of existing BMW derivatives. </strong>For Plant
    Debrecen alone, this approach will <strong>reduce CO₂e emissions
      from the manufacture of a vehicle, including its high-voltage
      battery, by around 90%</strong> – to about 34 kg CO₂e (when
    operating at full capacity, compared with other BMW Group facilities).</p>
  <p>Paint shops typically rely on gas to reach the high temperatures
    (up to 180 degrees Celsius) required. Plant Debrecen will be the BMW
    Group's first car plant supplied exclusively <strong>with
      electricity from renewable energy sources during normal
    operation</strong>, i.e. without using fossil fuels such as oil or
    gas. Because of its high energy demands, the paint shop is the most
    important factor in significantly lowering Plant Debrecen’s
    CO<sub>2</sub>e emissions.<strong> In the paint shop alone, using
      electricity from renewable sources reduces annual
      CO<sub>2</sub>e emissions by up to 12,000 tonnes. </strong>About a
    quarter of the plant's annual power needs will be supplied by the
    50‑hectare on-site <strong>photovoltaic system.</strong> Surplus
    solar energy, such as that generated on non‑working days, is stored
    in a 1,800 m³ <strong>thermal storage system</strong> with a
    capacity of 130 MWh.</p>
  <p>The paint shop also uses an energy recovery system. A <strong>heat
    grid</strong> was successfully implemented in the design of the new
    paint shop, delivering additional energy savings of up to 10%. This
    innovative concept combines multiple measures for
      efficient <strong>energy recovery</strong> from the compressed air
    supply, drying ovens and cooling systems. The recovered waste heat
    is then used to preheat the water circuit.</p>
  <p>In addition, a <strong>thermal storage system</strong> – holding
    1,800 m³ of water, with a capacity of 130 MWh – stores surplus
    energy from the photovoltaic system during off-peak periods and
    supplies it as heat during peak demand.</p>
  <p>Full digitalisation of production processes further
    boosts <strong>assembly</strong> efficiency. The AIQX (Artificial
    Intelligence Quality Next) IT platform developed in-house at the BMW
    Group is a key component of the BMW iFACTORY. AIQX uses sensors and
    camera systems along the production line to automate quality
    processes. AI evaluates the data and provides real-time feedback to
    employees on the line. Looking ahead, vehicles on the line will also
    become active, connected participants in the industrial IoT
    (Internet of Things) ecosystem. They will conduct self-analysis,
    interact with plant employees in real time and automatically share
    and document relevant messages, using tools such as on-board cameras
    and IT systems. The equipment, tools, components and every BMW in
    the assembly halls are already digitally connected to the BMW
    production system.</p>
  <p>The building's “finger structure” – an optimised version of the
    design employed at BMW Group Plant Leipzig – allows 80% of parts to
    be delivered directly to the correct point of assembly on the line.
    All-electric in-house <strong>logistics</strong> also benefit from
    autonomous tugger trains, which transport high-voltage batteries
    directly from production to installation points, as well as Smart
    Transport Robots that autonomously deliver smaller components to the
    assembly line. By linking all internal and external databases, the
    entire logistics process achieves unprecedented digital depth,
    automating many previously manual, interconnected analysis tasks.
    Well-structured information is therefore available at any time and
    can be analysed instantly “at the push of a button”.</p>
  <p>The BMW Group has created highly intelligent production processes
    for its new<strong> high-voltage batteries</strong> developed
    in-house. Plant Debrecen will be the first of five plants worldwide
    to begin series production of Gen6 high-voltage batteries. The
    production processes were initially developed and tested at pilot
    plants. Artificial intelligence, data analytics and constant
    knowledge sharing within the production network also play a key role
    in the ramp-up of production. Digital twins of production and
    comprehensive AI databases ensure optimisation of processes and
    employee training. A consistent zero-defect approach enables
    seamless in-line quality inspections and 100% end‑of-line
    monitoring. In line keeping with the “local for local” principle,
    high‑voltage battery assembly takes place directly on site, allowing
    the production teams to take advantage of infrastructure
    efficiencies and short distances.</p>
  <p>
    <strong>Best of the best:<br />Plant Debrecen benefits from
      expertise at all production sites worldwide</strong></p>
  <p>BMW Group Plant Debrecen is the first production site in the
    company's network not tied to a specific primary plant. Instead, it
    serves as a network plant, combining best practices from various
    locations worldwide. A major advantage of this approach is that the
    plant’s current workforce of more than
    2,000 <strong>employees</strong> can be trained within the network,
    allowing employee know-how from different locations, such as China,
    South Africa, Mexico, the US and, of course, Germany, to be shared.
    At the same time, employees throughout the global network gain the
    opportunity to share their technology insights in Debrecen and bring
    expertise in production of the Neue Klasse models back to their own
    location – creating a win-win situation for all the plants.</p>
  <p> </p>
  <p>
    <strong>A long version with further details on all technologies is
      available as a PDF file in the downloads section.</strong></p></div>
<h4>CO2 EMISSIONS & CONSUMPTION.</h4>
<div>
  <p>WLTP energy consumption combined: 17,9 - 15,1 kWh/100 km; WLTP CO₂
    emissions combined: 0 g/km; CO₂-class: A; WLTP electric range: 679 -
    805 km.</p></div><div class="import-contacts-wrapper"><div class="import-contact">Press Contact: Jeroen Lissens<br>Tel: +32-3-890-9708<br>e-mailadres: <a href="mailto:jeroen.lissens@bmw.be">jeroen.lissens@bmw.be</a></div></div></div>]]></description><category><![CDATA[Press Release,Research &amp; Development,BMW,Drive Technologies,BMW i,Artificial Intelligence]]></category>
            <pubDate>Wed, 17 Sep 2025 00:01:00 +0200</pubDate>
            <pp:lastModified>Tue, 16 Sep 2025 22:01:00 +0000</pp:lastModified>
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                        <title>Vraag het maar aan &quot;Factory Genius!”: Hoe AI helpt bij het onderhouden van productieapparatuur</title>
                        <link>https://newsroom.bmwgroup.com/emea/nl-be/vraag-het-maar-aan-factory-genius-hoe-ai-helpt-bij-het-onderhouden-van-productieapparatuur/</link>
                        <guid>https://newsroom.bmwgroup.com/emea/nl-be/vraag-het-maar-aan-factory-genius-hoe-ai-helpt-bij-het-onderhouden-van-productieapparatuur/</guid><pp:caseid>816179</pp:caseid><pp:summary><![CDATA[+++ AI-onderhoudsassistent "Factory Genius" versnelt probleemoplossing bij BMW Group +++ Pilootproject in fabriek Dingolfing vormt basis voor bedrijfsbrede oplossing +++ Methodologie kan worden overgedragen naar andere gebieden +++]]></pp:summary><description><![CDATA[<div class="imported-article"><p>+++ AI-onderhoudsassistent Factory Genius versnelt probleemoplossing
  bij BMW Group +++ Pilootproject in fabriek Dingolfing vormt basis voor
  bedrijfsbrede oplossing +++ Methodologie kan worden overgedragen naar
  andere gebieden +++</p>
<p>//</p>
<p>
  <strong>Munich.</strong> Whenever vehicle production equipment fails
  at a BMW Group plant, every minute counts. The maintenance team must
  work quickly to identify and resolve the cause of the fault. Now,
  employees can ask the new digital AI assistant, “Factory Genius”, for
  help: It can suggest solutions for the specific system problem within
  seconds, reducing the time required for error diagnosis to a minimum.<br />
  <br />“AI applications have become an integral part of modern
  production systems and are a key element of the BMW Group’s digital
  transformation. Factory Genius is an example of how generative AI, in
  particular, can streamline operations for everyone involved and
  enhance economic efficiency,” says Michael Ströbel, head of Process
  Management and Digitalisation, Order to Delivery at the BMW Group. But
  how exactly does the digital assistant, recently launched in its
  initial development phase, support maintenance staff?<br />
  <br />
  <strong>Knowledge discovery tool</strong></p>
<p>The tool essentially works like a search engine, quickly filtering
  relevant answers to specific user queries from a vast amount of data
  and user reports. However, this search function does not draw content
  and information from the internet, but from equipment manuals, quality
  data, internal fault reports and planning documents it was previously
  trained on. To keep the data management system up to date, it is
  regularly fed with new knowledge – for example, in the form of
  daily-updated shift-log data.<br />
  <br />By integrating a Large Language Model, similar to those used in
  chatbots like ChatGPT and Gemini, Factory Genius is also able to
  understand language: The software can search data for relevant content
  within the appropriate linguistic context, providing more accurate
  results than a conventional search engine. In addition to displaying
  the top matches with links to sources, the assistant can also
  summarise the maintenance instructions found through contextual search
  in just a few sentences, if preferred. The user can then ask questions
  in a chat.<br />
  <br />
  <strong>Collaborative in-house development</strong></p>
<p>A pilot project in the body shop at BMW Group Plant Dingolfing laid
  the groundwork for this in-house development. Alongside the tool
  developed in Dingolfing in spring 2024, other BMW Group locations,
  including the plants in Spartanburg, USA, and Rosslyn, South Africa,
  were working at the same time on similar solutions through a
  transparent process. All were pursuing the same goal: improving access
  to information when faults occur or during scheduled training and
  maintenance. AI experts at the company’s Munich headquarters
  consolidated this expertise, integrating the plants’ diverse
  requirements to create a company-wide “best of” application. This can
  now be used globally in its initial development phase through an
  internal platform.</p>
<p>In addition to search and chat functionality, Factory Genius also
  features a translation function, enabling it to switch languages at
  any time to overcome language barriers. This functionality has proven
  extremely useful while building the new plant in Debrecen, Hungary,
  for example, since manuals are often not available in Hungarian.<br />
  <br />
  <strong>Transferable methodology</strong></p>
<p>The technology behind Factory Genius has the potential to be applied
  to other production use cases as well. The general approach enables
  integration of a wide range of documents and development of assistants
  tailored to different user groups. Thanks to its cloud functionality,
  the tool will also be rapidly available worldwide.</p>
<p>
  <strong> </strong></p>
<p> </p>
<p>If you have any questions, please contact:<br />
  <br />Julian Friedrich, BMW Group Plant Dingolfing, Head of
  Communications<br />Telephone: +49 8731 76 22020, Email: <a href="mailto:Julian.Friedrich@bmw.de">Julian.Friedrich@bmw.de</a><br />
  <br />Benedikt Torka, BMW Group, Communications Production
  Network<br />Telephone: +49 89 382 32455, Email: <a href="mailto:Benedikt.Torka@bmwgroup.com">Benedikt.Torka@bmwgroup.com</a></p><div class="import-contacts-wrapper"><div class="import-contact">Press Contact: Jeroen Lissens<br>Tel: +32-3-890-9708<br>e-mailadres: <a href="mailto:jeroen.lissens@bmw.be">jeroen.lissens@bmw.be</a></div></div></div>]]></description><category><![CDATA[Press Release,Research &amp; Development,Production,Artificial Intelligence,Information Technology,Digitalisation]]></category>
            <pubDate>Wed, 02 Jul 2025 10:00:00 +0200</pubDate>
            <pp:lastModified>Wed, 02 Jul 2025 08:00:00 +0000</pp:lastModified>
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                        <title>BMW Group fabriek Dingolfing en Landshut University of Applied Sciences ontwikkelen slimme logistieke oplossing.</title>
                        <link>https://newsroom.bmwgroup.com/emea/nl-be/bmw-group-fabriek-dingolfing-en-landshut-university-of-applied-sciences-ontwikkelen-slimme-logistieke-oplossing/</link>
                        <guid>https://newsroom.bmwgroup.com/emea/nl-be/bmw-group-fabriek-dingolfing-en-landshut-university-of-applied-sciences-ontwikkelen-slimme-logistieke-oplossing/</guid><pp:caseid>815808</pp:caseid><pp:summary><![CDATA[+++ Meer efficiëntie door digitalisering: lege containers tellen met AI +++ Samenwerking met studenten +++]]></pp:summary><description><![CDATA[<div class="imported-article"><p>
  <strong>Dingolfing.</strong> Increasing efficiency through
  digitization: In a successful cooperation between BMW Group Plant
  Dingolfing and Landshut University of Applied Sciences, students have
  developed an innovative solution for plant logistics. The new digital
  tool automates the counting of empty containers using artificial
  intelligence (AI), saving time and avoiding errors.</p>
<p> </p>
<p>
  <strong>Looking for simple automation</strong>
  <br />At the BMW Group Plant Dingolfing, around 1,600 different types
  of containers are in circulation every day, transporting parts for
  vehicle production. Until now, these containers were counted manually,
  which was time-consuming and prone to errors. “Our goal was to
  automate empties counting as efficiently and simply as possible,”
  explains Wolfgang Schratzenstaller, project manager at the BMW Group
  Plant in Dingolfing.</p>
<p> </p>
<p>
  <strong>Cooperation with Landshut University</strong>
  <br />The idea of involving students from Landshut University of
  Applied Sciences in the project met with a positive response.
  “Students bring in new perspectives and unbiased approaches,” says
  Schratzenstaller. Prof. Dr. Abdelmajid Khelil, head of the IoT
  Innovation Lab at Landshut University, supported the project as part
  of a practical teaching module. The collaboration began with the
  summer semester 2024.</p>
<p> </p>
<p>
  <strong>Mobile video instead of mental arithmetic </strong></p>
<p>Within three months, the eight-person team developed a cost-effective
  and efficient solution. A simple mobile phone video, taken while
  running through the rows with the containers, is sufficient to
  determine the exact number per container variant. “QR codes are placed
  above the block storage lanes, which link to a database of container
  data. The AI analyses the video and calculates the number of
  containers,” explains Dominik Dama, an IT master's student.</p>
<p> </p>
<p>
  <strong>Outlook and development</strong></p>
<p>The counting system is currently in the pilot phase to test its
  performance under real conditions. In the future, the solution will
  also be used in other areas of plant logistics. It is also planned to
  further automate the counting process by using autonomous Smart
  Transport Robots (STR) to record the videos.</p><div class="import-contacts-wrapper"><div class="import-contact">Press Contact: Jeroen Lissens<br>Tel: +32-3-890-9708<br>e-mailadres: <a href="mailto:jeroen.lissens@bmw.be">jeroen.lissens@bmw.be</a></div></div></div>]]></description><category><![CDATA[Locations,Press Release,Production Plants,Dingolfing,Logistics,Artificial Intelligence]]></category>
            <pubDate>Wed, 12 Feb 2025 11:25:15 +0100</pubDate>
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