Titlebook: Advances in Remanufacturing; Proceedings of the V Marcello Fera,Mario Caterino,Duc Truong Pham Conference proceedings 2024 The Editor(s) (i

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https://doi.org/10.1007/978-3-031-43612-3e efficient and effective remanufacturing processes. The analysis is supported by a comprehensive review of the relevant literature. The results of our study provide important implications for policymakers, battery manufacturers, and remanufacturing companies. By prioritising key Industry 5.0 techno

EVICT

Layout-Agnostic Order-Batching Optimizationection of the most suitable decision-making methods for several specific issues of Remanufacturing. To achieve this aim, a systematic review of the international scientific literature is conducted, providing practical insights for practitioners and proposing potential directions for further research

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Scheduling Drillships in Offshore Activitiesicle. While existing studies show consumer knowledge of environmental issues, there are no studies that assess the environmental knowledge of consumers. This scoping review asks the question: from existing research, what are the environmental considerations and end-of-life approaches considered in c

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https://doi.org/10.1007/978-3-030-87672-2eceive real-time feedback while remotely controlling the robot. Experiments have demonstrated the effectiveness of the system in monitoring robot status during complex disassembly and offering a more intuitive approach for remotely controlling the robot, thereby improving the safety and efficiency o

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Pamela C. Nolz,Nabil Absi,Dominique Feilletudy is conducted to validate the proposed method. The results show the effectiveness of the digital twin model and the Proximal Policy Optimization algorithm in reducing the energy consumption of the robotic pick-and-place process, which improves the sustainability of robotic pick-and-place process.

BRUNT

Dario Pacino,Stefan Vo?,Rune M?ller Jenseng support for the rapid reconfiguration of the manufacturing system and also allow for the dynamic integration of newly inserted devices into the manufacturing system. Finally, the feasibility of the solution is verified by a demonstration of reconfiguration in robotic manufacturing systems.

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Lecture Notes in Computer Sciencelasses to be identified without retraining a model from scratch. Open source and state-of-the-art incremental ML learning methods such as POD-Net and Foster were tested against the common joint training approach used for most benchmarks in computer vision. The best-fitting open-source method for thi

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