Weiguang Fang
Orcid: 0000-0003-4072-273X
According to our database1,
Weiguang Fang
authored at least 10 papers
between 2019 and 2026.
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Bibliography
2026
A modeling and adaptive evolution method for simulation parameters of digital twin shop floor.
Robotics Comput. Integr. Manuf., 2026
2025
Digital twin driven dynamic scheduling of discrete manufacturing workshop with transportation resource constraint using multi-agent deep reinforcement learning.
Robotics Comput. Integr. Manuf., 2025
2023
An Adaptive Job Shop Scheduling Mechanism for Disturbances by Running Reinforcement Learning in Digital Twin Environment.
J. Comput. Inf. Sci. Eng., October, 2023
A stacking denoising auto-encoder with sample weight approach for order remaining completion time prediction in complex discrete manufacturing workshop.
Int. J. Prod. Res., May, 2023
Digital twin driven production progress prediction for discrete manufacturing workshop.
Robotics Comput. Integr. Manuf., 2023
2021
A weighted fuzzy C-means clustering method with density peak for anomaly detection in IoT-enabled manufacturing process.
J. Intell. Manuf., 2021
J. Comput. Inf. Sci. Eng., 2021
2020
Big data driven jobs remaining time prediction in discrete manufacturing system: a deep learning-based approach.
Int. J. Prod. Res., 2020
A Parallel Gated Recurrent Units (P-GRUs) network for the shifting lateness bottleneck prediction in make-to-order production system.
Comput. Ind. Eng., 2020
2019
A Two-Stage Transfer Learning-Based Deep Learning Approach for Production Progress Prediction in IoT-Enabled Manufacturing.
IEEE Internet Things J., 2019