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    <title>Anass ELHOUD - Writing</title>
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    <description>Articles on industrial AI, data strategy, and digital transformation. By Anass ELHOUD.</description>
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      <title>Forward Deployment Is the Next Frontier of Digital Transformation in Industry</title>
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      <description>Why I am convinced that FDE will be the next real chapter of digital transformation</description>
      <pubDate>Sat, 01 Aug 2026 12:00:00 GMT</pubDate>
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      <title>Why Trade-offs Are Steering Industrial AI</title>
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      <description>A software heuristic and a hand catching a frisbee are running the same trick: skip the perfect calculation, grab the first answer that is good enough, fast. This piece uses that idea, plus hill-climbing, simulated annealing, and a Mona Lisa built out of triangles, to argue that industrial AI runs on trade-offs, not optimality — and that digital transformation is really just organizations getting deliberate about the trade-offs they used to make by accident.</description>
      <pubDate>Tue, 10 Feb 2026 12:00:00 GMT</pubDate>
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      <title>Swarm Intelligence-Based Framework for Accelerated and Optimized Assembly Line Design in the Automotive Industry</title>
      <link>https://link.springer.com/article/10.1007/s10845-023-02182-5</link>
      <description>Two discrete metaheuristics for hybrid assembly line balancing beat expert-tuned baselines by up to 20% on cycle time. Journal of Intelligent Manufacturing.</description>
      <pubDate>Fri, 28 Jun 2024 12:00:00 GMT</pubDate>
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      <title>Online Reinforcement Learning for Designing Automotive Hybrid Assembly Sequence: A Task Clustering-Guided Approach</title>
      <link>https://scholar.google.com/citations?user=anQcJ10AAAAJ&amp;hl=en#aiai-2024</link>
      <description>A task-clustering-guided reinforcement learning approach for sequencing hybrid automotive assembly lines. IFIP AIAI 2024, Corfu.</description>
      <pubDate>Thu, 27 Jun 2024 12:00:00 GMT</pubDate>
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      <title>A Comparative Analysis of Hybrid Assembly Line Key Performance Indicators Between a Real-world Industrial Setting and a Fast Discrete Event Simulator</title>
      <link>https://scholar.google.com/citations?user=anQcJ10AAAAJ&amp;hl=en#ieem-2023</link>
      <description>Comparing KPIs measured on a real hybrid assembly line against a fast discrete-event simulator. IEEE IEEM 2023, Singapore.</description>
      <pubDate>Mon, 18 Dec 2023 12:00:00 GMT</pubDate>
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      <title>ManufactSim: Manufacturing Line Simulation Using Heterogeneous Distributed Robots</title>
      <link>https://www.researchgate.net/publication/359601087_ManufactSim_Manufacturing_Line_Simulation_Using_Heterogeneous_Distributed_Robots</link>
      <description>A manufacturing line simulator built on heterogeneous distributed robots. IEEE AINA 2022, Sydney.</description>
      <pubDate>Wed, 13 Apr 2022 12:00:00 GMT</pubDate>
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      <title>Parameters Correlation of Deep Learning Model for Visual Inspection in the Automotive Industry</title>
      <link>https://ieeexplore.ieee.org/document/9790250/</link>
      <description>Combining model confidence scores with visual explanation heatmaps to improve automotive weld-seam inspection accuracy. IEEE ICCCR 2022, Shanghai.</description>
      <pubDate>Fri, 18 Mar 2022 12:00:00 GMT</pubDate>
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      <title>What After Watching Westworld?</title>
      <link>https://aelhoud.com/writing/what-after-watching-westworld/</link>
      <description>Was I the same when I got up this morning? I almost think I can remember feeling a little different. But if I am not the same, the next question is. Who in the world am I? Ah, that is the great puzzle!</description>
      <pubDate>Fri, 18 May 2018 12:00:00 GMT</pubDate>
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