| Deep learning for smart manufacturing: Methods and applications |
153 |
| Data-driven smart manufacturing |
119 |
| Sustainable supplier selection: A multi-criteria intuitionistic fuzzy TOPSIS method |
64 |
| A critical review of smart manufacturing & Industry 4.0 maturity models: Implications for small and medium-sized enterprises (SMEs) |
58 |
| Long short-term memory for machine remaining life prediction |
43 |
| Security of smart manufacturing systems |
30 |
| Cloud manufacturing as a sustainable process manufacturing route |
29 |
| A survey of the advancing use and development of machine learning in smart manufacturing |
29 |
| Metal additive manufacturing in the commercial aviation industry: A review |
29 |
| Imbalanced data fault diagnosis of rotating machinery using synthetic oversampling and feature learning |
28 |
| A cloud-based cyber-physical system for adaptive shop-floor scheduling and condition-based maintenance |
27 |
| Reconfigurable manufacturing systems: Literature review and research trend |
24 |
| Resource virtualization: A core technology for developing cyber-physical production systems |
24 |
| Bearing remaining useful life prediction based on deep autoencoder and deep neural networks |
24 |
| Machine vision intelligence for product defect inspection based on deep learning and Hough transform |
22 |
| Porosity prediction: Supervised-learning of thermal history for direct laser deposition |
21 |
| Part data integration in the Shop Floor Digital Twin: Mobile and cloud technologies to enable a manufacturing execution system |
20 |
| Opportunistic maintenance of production systems subject to random wait time and multiple control limits |
19 |
| A systematic development method for cyber-physical machine tools |
17 |
| Welding defects detection based on deep learning with multiple optical sensors during disk laser welding of thick plates |
14 |
| A Holistic approach to corporate sustainability assessment: Incorporating sustainable development goals into sustainable manufacturing performance evaluation |
14 |
| Data-driven cost estimation for additive manufacturing in cybermanufacturing |
14 |
| Reference architectures for smart manufacturing: A critical review |
13 |
| Holistic approach to machine tool data analytics |
13 |
| A Cyber-Physical Machine Tools Platform using OPC UA and MTConnect |
12 |
| The development of modelling tools to improve energy efficiency in manufacturing processes and systems |
12 |
| Spatio-Temporal Adaptive Sampling for effective coverage measurement planning during quality inspection of free form surfaces using robotic 3D optical scanner |
12 |
| Energy efficiency in discrete-manufacturing systems: Insights, trends, and control strategies |
12 |
| Cybersecurity for digital manufacturing |
12 |
| Patented intelligence: Cloning human decision models for Industry 4.0 |
12 |
| Resource-constrained assembly line balancing problems with multi-manned workstations |
12 |
| Production rescheduling review: Opportunities for industrial integration and practical applications |
11 |
| An improved way to calculate imperfect items during long-run production in an integrated inventory model with backorders |
11 |
| Proactive maintenance scheduling in consideration of imperfect repairs and production wait time |
10 |
| In-situ droplet inspection and closed-loop control system using machine learning for liquid metal jet printing |
10 |
| Industry 4.0: Development of a multi-agent system for dynamic value stream mapping in SMEs |
10 |
| Machine learning for continuous liquid interface production: Printing speed modelling |
10 |
| A failure-dependency modeling and state discretization approach for condition-based maintenance optimization of multi-component systems |
9 |
| Fog computing and convolutional neural network enabled prognosis for machining process optimization |
9 |
| How to integrate additive manufacturing technologies into manufacturing systems successfully: A perspective from the commercial vehicle industry |
8 |
| From in-situ monitoring toward high-throughput process control: cost-driven decision-making framework for laser-based additive manufacturing |
8 |
| A tree-based decision method for the configuration design of reconfigurable machine tools |
8 |
| Predicting shim gaps in aircraft assembly with machine sparse sensing |
8 |
| Research opportunities on manufacturing flexibility domain: A review and theory-based research agenda |
8 |
| Simulation study on reward function of reinforcement learning in gantry work cell scheduling |
8 |
| Production and setup control policy for unreliable hybrid manufacturing-remanufacturing systems |
8 |
| Balancing and cyclical scheduling of asynchronous mixed-model assembly lines with parallel stations |
8 |
| Analysis, design, and control of Bernoulli production lines with waiting time constraints |
7 |
| A multi-objective tool-axis optimization algorithm based on covariant field functional |
7 |
| Car sequencing for mixed-model assembly lines with consideration of changeover complexity |
7 |
