{"id":36863,"date":"2025-03-20T10:57:05","date_gmt":"2025-03-20T09:57:05","guid":{"rendered":"https:\/\/www.uni.lu\/fstm-en\/?post_type=news&#038;p=36863"},"modified":"2025-07-04T11:11:45","modified_gmt":"2025-07-04T09:11:45","slug":"how-hpc-infrastructures-will-optimise-large-scale-manufacturing-problems","status":"publish","type":"news","link":"https:\/\/www.uni.lu\/fstm-en\/news\/how-hpc-infrastructures-will-optimise-large-scale-manufacturing-problems\/","title":{"rendered":"How HPC infrastructures will optimise large-scale manufacturing problems"},"content":{"rendered":"\n<section class=\"wp-block-unilux-blocks-free-section section\"><div class=\"container xl:max-w-screen-xl\">\n<p>The 91短视频 and Goodyear have launched a research project using the National Supercomputer MeluXina hosted by LuxProvide to tackle complex optimisation challenges. Goodyear is currently using simulation models to optimise production processes at the factory level. This collaboration aims to expand these models to a multi-factory scale and extend the simulations over large time periods. Due to the size and complexity of these simulations, standard computing platforms are insufficient, requiring the use of High-Performance Computing (HPC) systems.<\/p>\n\n\n\n<section class=\"wp-block-unilux-blocks-quote-people\">\n    <div class=\"quote-people\" role=\"group\">\n        <figure class=\"quote-people__body\">\n            <blockquote class=\"quote-people__blockquote\">\n    <span class=\"quote-people__quote\">\u201f<\/span>\n    By leveraging MeluXina&#8217;s capabilities, we aim to optimise production processes more effectively across multiple factories and over extended planning horizons. This will enable us to achieve increased efficiency, reduced costs, and improved production planning.\u201d\n<\/blockquote>\n<div class=\"wp-block-unilux-blocks-wrapper quote-people__visual\"><figure class=\"wp-block-dev4-reusable-blocks-image  object-fit--cover\">\n    \n<img decoding=\"async\" class=\"wp-block-image unilux-custom-image-block\"\n                alt=\"\"\n            src=\"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/4\/2025\/03\/Veronique.jpg\"\n                srcset=\"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/4\/2025\/03\/Veronique-300x300.jpg 300w, https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/4\/2025\/03\/Veronique-150x150.jpg 150w, https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/4\/2025\/03\/Veronique.jpg 450w\"\n                style=\"object-position: 50.00% 50.00%; font-family: &quot;object-fit: cover; object-position: 50.00% 50.00%;&quot;; aspect-ratio: 1\/1; object-fit: cover; width: 100%;\"\n        loading=\"lazy\"\n\/>    <\/figure><\/div>\n\n<div class=\"wp-block-unilux-blocks-wrapper quote-people__figcaption\">\n<p class=\"quote-people__author wp-block-unilux-blocks-plain-text\">Veronique Martin-Lang<\/p>\n\n\n<p class=\"quote-people__position wp-block-unilux-blocks-plain-text\">Chief Engineer of AI and Advanced Analytics, Goodyear.<\/p>\n\n<div class=\"wp-block-unilux-blocks-simple-cta\">\n    <a\n        href=\"https:\/\/www.linkedin.com\/in\/v%C3%A9ronique-martin-lang-ba66151a\/?originalSubdomain=lu\"\n        class=\"link-text link-text--icon quote-people__link\"\n        target=\"\"\n    >\n        <span class=\"link-text__body\">\n            <span class=\"link-text__name\">View profile<\/span>\n        <\/span>\n        <svg aria-hidden=\"true\" focusable=\"false\" class=\"icon icon-outline icon--arrow-right \"><use xlink:href=\"https:\/\/www.uni.lu\/wp-content\/themes\/unilux-theme\/assets\/images\/icons\/icons-outline.svg#icon--arrow-right\"><\/use><\/svg>    <\/a>\n<\/div>\n<\/div>\n        <\/figure>\n    <\/div>\n<\/section>\n\n\n<p>The <a href=\"https:\/\/www.uni.lu\/fstm-en\/research-projects\/cadom\/\">Collaborative and Distributed Optimization of Manufacturing Processes on High-Performance Computing Systems (CADOM)<\/a> project will focus on developing distributed algorithms and a distributed discrete event simulation engine to run on HPC infrastructure.<\/p>\n\n\n\n<p>With a duration of two years, the CADOM project will explore approaches such as parallel discrete event simulation and optimization. This initiative will advance optimisation and simulation for manufacturing, contributing to fields like distributed computing, multi-agent systems, and HPC.<\/p>\n\n\n\n<section class=\"wp-block-unilux-blocks-quote-people\">\n    <div class=\"quote-people\" role=\"group\">\n        <figure class=\"quote-people__body\">\n            <blockquote class=\"quote-people__blockquote\">\n    <span class=\"quote-people__quote\">\u201f<\/span>\n    The CADOM project signifies a significant leap in applying high-performance computing to real-world manufacturing challenges. This collaboration illustrates how academia and industry can jointly address complex problems, enhancing manufacturing efficiency and innovation.\u201d\n<\/blockquote>\n<div class=\"wp-block-unilux-blocks-wrapper quote-people__visual\"><figure class=\"wp-block-dev4-reusable-blocks-image  object-fit--cover\">\n    \n<img decoding=\"async\" class=\"wp-block-image unilux-custom-image-block\"\n                alt=\"Prof. Pascal Bouvry\"\n            src=\"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/4\/2023\/07\/P-Bouvry.jpg\"\n                srcset=\"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/4\/2023\/07\/P-Bouvry-300x200.jpg 300w, https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/4\/2023\/07\/P-Bouvry-1024x683.jpg 1024w, https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/4\/2023\/07\/P-Bouvry-768x512.jpg 768w, https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/4\/2023\/07\/P-Bouvry-1536x1024.jpg 1536w, https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/4\/2023\/07\/P-Bouvry.jpg 1620w\"\n                style=\"object-position: 50.00% 50.00%; font-family: &quot;object-fit: cover; object-position: 50.00% 50.00%;&quot;; aspect-ratio: 1\/1; object-fit: cover; width: 100%;\"\n        loading=\"lazy\"\n\/>    <\/figure><\/div>\n\n<div class=\"wp-block-unilux-blocks-wrapper quote-people__figcaption\">\n<p class=\"quote-people__author wp-block-unilux-blocks-plain-text\">Pascal Bouvry<\/p>\n\n\n<p class=\"quote-people__position wp-block-unilux-blocks-plain-text\">Dean, Faculty of Science, Technology and Medicine<\/p>\n\n<div class=\"wp-block-unilux-blocks-simple-cta\">\n    <a\n        href=\"https:\/\/www.uni.lu\/fstm-en\/people\/pascal-bouvry\/\"\n        class=\"link-text link-text--icon quote-people__link\"\n        target=\"\"\n    >\n        <span class=\"link-text__body\">\n            <span class=\"link-text__name\">View profile<\/span>\n        <\/span>\n        <svg aria-hidden=\"true\" focusable=\"false\" class=\"icon icon-outline icon--arrow-right \"><use xlink:href=\"https:\/\/www.uni.lu\/wp-content\/themes\/unilux-theme\/assets\/images\/icons\/icons-outline.svg#icon--arrow-right\"><\/use><\/svg>    <\/a>\n<\/div>\n<\/div>\n        <\/figure>\n    <\/div>\n<\/section>\n\n\n<p>This research is supported by the Luxembourg Ministry of the Economy and the Luxembourg National Research Fund under the CADOM project, ref. 17941664.<\/p>\n<\/div><\/section>\n","protected":false},"excerpt":{"rendered":"<p>The 91短视频 and Goodyear have launched a research project using the National Supercomputer MeluXina hosted by LuxProvide to tackle complex optimisation challenges. <\/p>\n","protected":false},"author":51,"featured_media":36867,"template":"","format":"standard","meta":{"featured_image_focal_point":[],"show_featured_caption":false,"ulux_newsletter_groups":"","uluxPostTitle":"","uluxPrePostTitle":"","_trash_the_other_posts":false,"_price":"","_stock":"","_tribe_ticket_header":"","_tribe_default_ticket_provider":"","_tribe_ticket_capacity":"0","_ticket_start_date":"","_ticket_end_date":"","_tribe_ticket_show_description":"","_tribe_ticket_show_not_going":false,"_tribe_ticket_use_global_stock":"","_tribe_ticket_global_stock_level":"","_global_stock_mode":"","_global_stock_cap":"","_tribe_rsvp_for_event":"","_tribe_ticket_going_count":"","_tribe_ticket_not_going_count":"","_tribe_tickets_list":"[]","_tribe_ticket_has_attendee_info_fields":false},"news-category":[8],"news-topic":[14],"organisation":[31,29],"authorship":[51],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.3 (Yoast SEO v22.3) - 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