Groupement pour l’Amélioration des Liaisons dans l’Industrie Automobile
Groupement pour l’Amélioration des Liaisons dans l’Industrie Automobile
Logistics
♻️ Launch of the “PPWR recycled material content targets for plastic packaging” subgroup GALIA’s “Packaging Circular Economy” workgroup is still ongoing and making progress on the requirements of the Packaging and […]
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⚖️ New regulations, such as the European “Packaging & Packaging Waste Regulation,” require the ecosystem of packaging manufactures and their industrial users to comply with new environmental standards. 📦 In March […]
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The GALIA Working Group on Digital Technologies is now focusing on how to successfully adopt Artificial Intelligence in the automotive supply chain. After sharing concrete member use cases (forecast accuracy, […]
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Together with our American colleagues from AIAG and our European colleagues from Odette, we have decided to kick-start the Version 7 project for MMOG. The framework was recently clarified following stakeholder consultations. 🎯 We set objectives aimed […]
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In March 2024, GALIA published its EMB20 Recommendation “PACKAGING MATERIAL RECOMMENDATIONS, Towards a Full Circular Economy,” accessible free of charge via the following link: Circular economy of packaging: Circular economy […]
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🚀 The GALIA “New Technologies in the Automotive Supply Chain” working group has officially launched! … And it’s still possible for our members to join. AI, Machine Learning, IoT, Dataspaces… […]
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We have approved “EMB1-Cardboard packaging for terrestrial flows” and “EMB12-Cardboard packaging for overseas flows” packaging produced by our Club Member Packaging Sector: GPC PAPIER ET CARTON. This approval is the […]
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Let’s recall that this working group was launched in early 2024 with the aim to improve practices concerning forecasts and data management of capacity constraints. The objective is to enable […]
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On September 17th, we had the pleasure of welcoming the members of the workgroup to a second face-to-face workshop, following the kick-off meeting in April. Let us recall that the […]
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AI, Machine Learning, IoT, Dataspaces…: these new technologies can significantly improve the supply chain. But beyond trends and initial POCs, what will our evolution look like? What techniques do we […]
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