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Resource scheduling in cloud-based manufacturing system: a comprehensive survey
Inspired by cloud computing, cloud manufacturing (CMfg) is a service-oriented
manufacturing paradigm on an on-demand and pay-as-you-go business model through the …
manufacturing paradigm on an on-demand and pay-as-you-go business model through the …
Knowledge-aware manufacturing services collaboration: A comprehensive study of evolutionary transfer optimization approaches
Manufacturing services collaboration (MSC) is crucial to the industrial internet platform in
determining the proper integration of multiple functionality unique services for a complex …
determining the proper integration of multiple functionality unique services for a complex …
Automated guided vehicle dispatching and routing integration via digital twin with deep reinforcement learning
The manufacturing industry has witnessed a significant shift towards high flexibility and
adaptability, driven by personalized demands. However, automated guided vehicle (AGV) …
adaptability, driven by personalized demands. However, automated guided vehicle (AGV) …
Deep learning-empowered digital twin for visualized weld joint growth monitoring and penetration control
This paper presents an innovative digital twin to monitor and control complex manufacturing
processes by integrating deep learning which offers strong feature extraction and analysis …
processes by integrating deep learning which offers strong feature extraction and analysis …
Digital twin based real-time production logistics synchronization system in a multi-level computing architecture
The increasing demands for customized products have brought a lot of inevitable
operational dynamics to the production logistics system. How to systematically monitor and …
operational dynamics to the production logistics system. How to systematically monitor and …
A multi-attribute personalized recommendation method for manufacturing service composition with combining collaborative filtering and genetic algorithm
With the popularity of service-oriented manufacturing mode, the customer quantities of the
online manufacturing service platforms are growing exponentially. To improve the user …
online manufacturing service platforms are growing exponentially. To improve the user …
A mixed perception-based human-robot collaborative maintenance approach driven by augmented reality and online deep reinforcement learning
C Liu, Z Zhang, D Tang, Q Nie, L Zhang… - Robotics and Computer …, 2023 - Elsevier
Owing to the fact that the number and complexity of machines is increasing in Industry 4.0,
the maintenance process is more time-consuming and labor-intensive, which contains …
the maintenance process is more time-consuming and labor-intensive, which contains …
Event-driven tool condition monitoring methodology considering tool life prediction based on industrial internet
Y Wang, L Zheng, Y Wang - Journal of Manufacturing Systems, 2021 - Elsevier
Tool condition monitoring (TCM) and remaining useful life (RUL) prediction is of great
practical significance for any machining process to ensure machining quality and reduce the …
practical significance for any machining process to ensure machining quality and reduce the …
A four-terminal-architecture cloud-edge-based digital twin system for thermal error control of key machining equipment in production lines
Production lines are important for the high-accuracy and efficient machining of parts. The
thermal error of key machining equipment in production lines has a significant effect on the …
thermal error of key machining equipment in production lines has a significant effect on the …
Transfer learning assisted batch optimization of jobs arriving dynamically in manufacturing cloud
Cloud resource assembly problem (CRAP) in smart manufacturing is characterized by NP-
hard complexity. Evolutionary algorithms (EAs) have become the mainstream search …
hard complexity. Evolutionary algorithms (EAs) have become the mainstream search …