Resource scheduling in cloud-based manufacturing system: a comprehensive survey

R Rashidifar, H Bouzary, FF Chen - The International Journal of Advanced …, 2022 - Springer
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 …

Knowledge-aware manufacturing services collaboration: A comprehensive study of evolutionary transfer optimization approaches

J Zhou, Y Tian, L Gao, C Lu, X Yao - Advanced Engineering Informatics, 2024 - Elsevier
Manufacturing services collaboration (MSC) is crucial to the industrial internet platform in
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

L Zhang, C Yang, Y Yan, Z Cai, Y Hu - Journal of Manufacturing Systems, 2024 - Elsevier
The manufacturing industry has witnessed a significant shift towards high flexibility and
adaptability, driven by personalized demands. However, automated guided vehicle (AGV) …

Deep learning-empowered digital twin for visualized weld joint growth monitoring and penetration control

Q Wang, W Jiao, YM Zhang - Journal of Manufacturing Systems, 2020 - Elsevier
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 …

Digital twin based real-time production logistics synchronization system in a multi-level computing architecture

YH Pan, T Qu, NQ Wu, M Khalgui, GQ Huang - Journal of Manufacturing …, 2021 - Elsevier
The increasing demands for customized products have brought a lot of inevitable
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

Z Liu, L Wang, X Li, S Pang - Journal of Manufacturing Systems, 2021 - Elsevier
With the popularity of service-oriented manufacturing mode, the customer quantities of the
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 …

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 …

A four-terminal-architecture cloud-edge-based digital twin system for thermal error control of key machining equipment in production lines

J Liu, C Ma, H Gui, S Wang - Mechanical Systems and Signal Processing, 2022 - Elsevier
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 …

Transfer learning assisted batch optimization of jobs arriving dynamically in manufacturing cloud

J Zhou, L Gao, C Lu, X Yao - Journal of Manufacturing Systems, 2022 - Elsevier
Cloud resource assembly problem (CRAP) in smart manufacturing is characterized by NP-
hard complexity. Evolutionary algorithms (EAs) have become the mainstream search …