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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Digital Twin-Based Energy-Efficient Trajectory Optimization for Robotic Pick-and-Place Process Undenufacturing is being paid much attention and the energy consumption during the robotic pick-and-place process could be further improved to enhance the sustainability. However, the payload deployed on the industrial robot is always uncertain and the existing energy-efficient trajectory optimization m

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OPC UA Discovery-Driven Dynamic Reconfiguration of Robotic Manufacturing Systems: Method and Deploy the flexibility of the manufacturing system. For cyber-physical systems, flexibility refers to the ability to be scalable and reconfigurable. The traditional industrial reconfiguration method is inefficient and lacks practical deployment, it can no longer achieve the flexibility required in practic

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Image-Based Incremental Learning for Part Recognition of Used Automotive Cores in Reverse Logistics Learning (ML) in the recognition of used parts has proven to be effective in suggesting Original Equipment Number (OEN) based on images and logistics data of a core. This leads to a four-eye process where the worker and ML interact through an assistance system. In reverse logistics, the spectrum of

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Compact Convolutional Transformer for Bearing Remaining Useful Life Prediction,toring technology and deep learning (DL). Although Transformers are currently the most commonly used unique learning algorithms for sequential data, concerns about their computational efficiency and cost exist. In this regard, Compact Convolutional Transformers (CCT) have emerged as a promising alte

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Surface Defect Detection of Remanufactured Products by Using the Improved Yolov5, You Only Look Once (YOLO) network was proposed for training and testing an image detection model on a steel surface defect dataset. The results show that the proposed YOLO model has high accuracy in detecting surface defects for the remanufacturing quality detection, and the accuracy of the modifie

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Combinatorial Auctions in Freight Logisticse able to manage the volatile and uncertain features of human operators to obtain human-oriented HRC disassembly. In this work, firstly, the Stackelberg model is developed to generate feasible disassembly sequences of EOL of MP device. Further we have presented comparison between game theory and non-game theory based HRC approach.