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Weihong "Grace" Guo
Weihong "Grace" Guo
Industrial and Systems Engineering at Rutgers University
Verified email at rutgers.edu
Title
Cited by
Cited by
Year
Reconfigurable manufacturing systems: Principles, design, and future trends
Y Koren, X Gu, W Guo
Frontiers of Mechanical Engineering 13, 121-136, 2018
4292018
Learn to navigate: cooperative path planning for unmanned surface vehicles using deep reinforcement learning
X Zhou, P Wu, H Zhang, W Guo, Y Liu
IEEE Access 7, 165262-165278, 2019
1102019
An optimization model and solution algorithms for the vehicle routing problem with a “factory-in-a-box”
J Pasha, MA Dulebenets, M Kavoosi, OF Abioye, H Wang, W Guo
Ieee Access 8, 134743-134763, 2020
1042020
Machine learning for metal additive manufacturing: Towards a physics-informed data-driven paradigm
S Guo, M Agarwal, C Cooper, Q Tian, RX Gao, WG Grace, YB Guo
Journal of Manufacturing Systems 62, 145-163, 2022
942022
Deep learning-based data fusion method for in situ porosity detection in laser-based additive manufacturing
Q Tian, S Guo, E Melder, L Bian, WG Guo
Journal of Manufacturing Science and Engineering 143 (4), 041011, 2021
762021
Online process monitoring with near-zero misdetection for ultrasonic welding of lithium-ion batteries: An integration of univariate and multivariate methods
W Guo, C Shao, TH Kim, SJ Hu, JJ Jin, JP Spicer, H Wang
Journal of Manufacturing Systems 38, 141-150, 2016
642016
Choosing the system configuration for high-volume manufacturing
Y Koren, X Gu, W Guo
International Journal of Production Research 56 (1-2), 476-490, 2018
622018
Holistic tactical-level planning in liner shipping: An exact optimization approach
J Pasha, MA Dulebenets, M Kavoosi, OF Abioye, O Theophilus, H Wang, ...
Journal of Shipping and Trade 5, 1-35, 2020
582020
Allocation of maintenance resources in mixed model assembly systems
W Guo, JJ Jin, SJ Hu
Journal of Manufacturing Systems 32 (3), 473-479, 2013
462013
A physics-driven deep learning model for process-porosity causal relationship and porosity prediction with interpretability in laser metal deposition
WG Guo, Q Tian, S Guo, Y Guo
CIRP Annals - Manufacturing Technology 69 (1), 205-208, 2020
442020
Effect of interfacial preheating on welded joints during ultrasonic composite welding
K Wang, Y Li, M Banu, J Li, W Guo, H Khan
Journal of Materials Processing Technology 246, 116-122, 2017
432017
Reconfiguration of manufacturing supply chains considering outsourcing decisions and supply chain risks
Q Tian, W Guo
Journal of Manufacturing Systems 52, 217-226, 2019
392019
Unsupervised learning based coordinated multi-task allocation for unmanned surface vehicles
S Ma, W Guo, R Song, Y Liu
Neurocomputing 420, 227-245, 2021
382021
StressNet-Deep learning to predict stress with fracture propagation in brittle materials
Y Wang, D Oyen, W Guo, A Mehta, CB Scott, N Panda, ...
Npj Materials Degradation 5 (1), 6, 2021
352021
Performance evaluation for manufacturing systems under control-limit maintenance policy
X Gu, W Guo, X Jin
Journal of Manufacturing Systems 55, 221-232, 2020
352020
Profile monitoring and fault diagnosis via sensor fusion for ultrasonic welding
W Guo, J Jin, S Jack Hu
Journal of Manufacturing Science and Engineering 141 (8), 081001, 2019
312019
Hybrid simulation models for spare parts supply chain considering 3D printing capabilities
X Xu, MD Rodgers, WG Guo
Journal of Manufacturing Systems 59, 272-282, 2021
302021
A graph-based cost model for supply chain reconfiguration
W Guo, Q Tian, Z Jiang, H Wang
Journal of manufacturing systems 48, 55-63, 2018
302018
Effect of Mg doping on magnetic induction heating of Zn–Co ferrite nanoparticles
R Yang, X Yu, H Li, C Wang, C Wu, W Zhang, W Guo
Journal of Alloys and Compounds 851, 156907, 2021
282021
Estimation of active maintenance opportunity windows in Bernoulli production lines
X Gu, X Jin, W Guo, J Ni
Journal of Manufacturing Systems 45, 109-120, 2017
282017
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