{"id":813,"date":"2022-02-01T10:19:05","date_gmt":"2022-02-01T10:19:05","guid":{"rendered":"https:\/\/website.prod.unilu.spikeseed.cloud\/fdef-en\/news\/lcl-students-win-grand-prize-at-mit-scale-supply-chain-research-expo\/"},"modified":"2022-02-01T10:19:05","modified_gmt":"2022-02-01T10:19:05","slug":"lcl-students-win-grand-prize-at-mit-scale-supply-chain-research-expo","status":"publish","type":"news","link":"https:\/\/www.uni.lu\/fdef-en\/news\/lcl-students-win-grand-prize-at-mit-scale-supply-chain-research-expo\/","title":{"rendered":"LCL students win Grand Prize at MIT SCALE Supply Chain Research Expo"},"content":{"rendered":"<section class=\"wp-block-unilux-blocks-free-section section\"><div class=\"container xl:max-w-screen-xl\"><p>Harika Marisetti and Lakshmi Ravi\u2019s Master thesis project \u201cEconomic Value Prediction of Multi-Echelon Safety Stock Optimisation Based on Supply Network Features\u201d, supervised by Prof. Joachim Arts, took home the \u201cGrand Prize\u201d award at the 2022 MIT SCALE Supply Chain Research Expo.<\/p><p>Ms. Marisetti and Ms. Ravi are both students of the University of Luxembourg at the Luxembourg Centre for Logistics &#038; Supply Chain Management in the Logistics and Supply Chain Management (LSCM) Master programme The winning project was presented during the cohort\u2019s 3-week stay at the MIT Center for Transportation and Logistics (CTL) in Cambridge, Massachusetts.<\/p><p>The project aims at predicting the value of optimised safety stock across the supply chain network in a multi-echelon environment using Machine Learning. Critical steps include identification of the features impacting the value of safety stock and creation of a model to predict them. The project is expected to deliver a model which takes supply chain network features as input and provides value of safety stock as an output.<\/p><p>This project is sponsored by BASF, one of the largest chemical groups in the world with headquarters in Ludwigshafen am Rhein, in Germany.<\/p><p><strong>Ms. Marisetti and Ms. Ravi present their project in a short video<\/strong><\/p><p><\/p><p><strong>A few impressions of the event<\/strong><\/p><figure class=\"wp-block-dev4-reusable-blocks-image  object-fit--contain\">\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\/3\/2023\/07\/expo_22_awards_ctl_winning_team_sm.jpg\"\n                srcset=\"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/3\/2023\/07\/expo_22_awards_ctl_winning_team_sm-300x225.jpg 300w, https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/3\/2023\/07\/expo_22_awards_ctl_winning_team_sm-1024x768.jpg 1024w, https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/3\/2023\/07\/expo_22_awards_ctl_winning_team_sm-768x576.jpg 768w, https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/3\/2023\/07\/expo_22_awards_ctl_winning_team_sm.jpg 1200w\"\n                style=\"object-position: 50.00% 50.00%; font-family: &quot;object-fit: contain; object-position: 50.00% 50.00%;&quot;; aspect-ratio: 4\/3; object-fit: contain; width: 100%;\"\n        loading=\"lazy\"\n\/>    <\/figure><figure class=\"wp-block-dev4-reusable-blocks-image  object-fit--contain\">\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\/3\/2023\/07\/expo_22_awards_lcl_winner_w_jarts-scaled.jpg\"\n                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   alt=\"\"\n            src=\"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/3\/2023\/07\/expo_22_awards_nisci_winning_team_rep.jpg\"\n                srcset=\"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/3\/2023\/07\/expo_22_awards_nisci_winning_team_rep-300x225.jpg 300w, https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/3\/2023\/07\/expo_22_awards_nisci_winning_team_rep-1024x768.jpg 1024w, https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/3\/2023\/07\/expo_22_awards_nisci_winning_team_rep-768x576.jpg 768w, https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/3\/2023\/07\/expo_22_awards_nisci_winning_team_rep.jpg 1200w\"\n                style=\"object-position: 50.00% 50.00%; font-family: &quot;object-fit: contain; object-position: 50.00% 50.00%;&quot;; aspect-ratio: 4\/3; object-fit: contain; width: 100%;\"\n        loading=\"lazy\"\n\/>    <\/figure><figure class=\"wp-block-dev4-reusable-blocks-image  object-fit--contain\">\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\/3\/2023\/07\/image_1.jpg\"\n                srcset=\"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/3\/2023\/07\/image_1-300x225.jpg 300w, https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/3\/2023\/07\/image_1.jpg 320w\"\n                style=\"object-position: 50.00% 50.00%; font-family: &quot;object-fit: contain; object-position: 50.00% 50.00%;&quot;; aspect-ratio: 4\/3; object-fit: contain; width: 100%;\"\n        loading=\"lazy\"\n\/>    <\/figure><figure class=\"wp-block-dev4-reusable-blocks-image  object-fit--contain\">\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\/3\/2023\/07\/expo_22_awards_regnier_intro-scaled.jpg\"\n                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src=\"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/3\/2023\/07\/image_3.jpg\"\n                srcset=\"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/3\/2023\/07\/image_3-300x227.jpg 300w, https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/3\/2023\/07\/image_3.jpg 320w\"\n                style=\"object-position: 50.00% 50.00%; font-family: &quot;object-fit: contain; object-position: 50.00% 50.00%;&quot;; aspect-ratio: 4\/3; object-fit: contain; width: 100%;\"\n        loading=\"lazy\"\n\/>    <\/figure><\/div><\/section>","protected":false},"excerpt":{"rendered":"<p>Harika Marisetti and Lakshmi Ravi\u2019s Master thesis project \u201cEconomic Value Prediction of Multi-Echelon Safety Stock Optimisation Based on Supply Network Features\u201d, supervised by Prof. Joachim Arts, took home the \u201cGrand Prize\u201d award at the 2022 MIT SCALE Supply Chain Research Expo.<\/p>\n","protected":false},"author":0,"featured_media":814,"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":[4],"news-topic":[11],"organisation":[138,101,145],"authorship":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.3 (Yoast SEO v22.3) - 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