Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Digital twin driven production progress prediction for discrete manufacturing workshop.

W. Qian, Y. Guo, H. Zhang, S. Huang, L. Zhang, H. Zhou, W. Fang, and S. Zha. Robotics Comput. Integr. Manuf., (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Weiguang Zeng

Fang-Fang Tang

Weigui Fang

Xiangfan Fang

Yang Fang

Other publications of authors with the same name

A stacking denoising auto-encoder with sample weight approach for order remaining completion time prediction in complex discrete manufacturing workshop.D. Liu, Y. Guo, S. Huang, W. Fang, and X. Tian. Int. J. Prod. Res., 61 (10): 3246-3259 (May 2023)A Two-Stage Transfer Learning-Based Deep Learning Approach for Production Progress Prediction in IoT-Enabled Manufacturing.S. Huang, Y. Guo, D. Liu, S. Zha, and W. Fang. IEEE Internet of Things Journal, 6 (6): 10627-10638 (2019)An Adaptive Job Shop Scheduling Mechanism for Disturbances by Running Reinforcement Learning in Digital Twin Environment.W. Fang, H. Zhang, W. Qian, Y. Guo, S. Li, Z. Liu, C. Liu, and D. Hong. J. Comput. Inf. Sci. Eng., (October 2023)Big data driven jobs remaining time prediction in discrete manufacturing system: a deep learning-based approach.W. Fang, Y. Guo, W. Liao, K. Ramani, and S. Huang. Int. J. Prod. Res., 58 (9): 2751-2766 (2020)A Parallel Gated Recurrent Units (P-GRUs) network for the shifting lateness bottleneck prediction in make-to-order production system.W. Fang, Y. Guo, W. Liao, S. Huang, N. Yang, and J. Liu. Comput. Ind. Eng., (2020)Multidimensional Data Modeling and Model Validation for Digital Twin Workshop.W. Qian, Y. Guo, K. Cui, P. Wu, W. Fang, and D. Liu. J. Comput. Inf. Sci. Eng., (2021)Digital twin driven production progress prediction for discrete manufacturing workshop.W. Qian, Y. Guo, H. Zhang, S. Huang, L. Zhang, H. Zhou, W. Fang, and S. Zha. Robotics Comput. Integr. Manuf., (2023)A weighted fuzzy C-means clustering method with density peak for anomaly detection in IoT-enabled manufacturing process.S. Huang, Y. Guo, N. Yang, S. Zha, D. Liu, and W. Fang. J. Intell. Manuf., 32 (7): 1845-1861 (2021)

BibSonomy

Disambiguation of "Fang, Weiguang"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Digital twin driven production progress prediction for discrete manufacturing workshop.

Please choose a person to relate this publication to

Weiguang Zeng

Fang-Fang Tang

Weigui Fang

Xiangfan Fang

Yang Fang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Fang, Weiguang"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Digital twin driven production progress prediction for discrete manufacturing workshop.

Please choose a person to relate this publication to

Weiguang Zeng

Fang-Fang Tang

Weigui Fang

Xiangfan Fang

Yang Fang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Digital twin driven production progress prediction for discrete manufacturing workshop.