OOIR: Observatory of International Research

Papers

(The H4-Index of Journal of Manufacturing Systems is 73. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-06-01 to 2026-06-01.)

Article	Citations
Flexible Manufacturing Systems intralogistics: Dynamic optimization of AGVs and tool sharing using Colored-Timed Petri Nets and actor–critic RL with actions masking	1099
A framework for designing a degradation-aware controller based on empirical estimation of the state–action cost and model predictive control	1085
On the feasibility of an integrated English wheel system	556
Efficient ship pipeline routing with dual-strategy enhanced ant colony optimization: Active behavior adjustment and passive environmental adaptability	273
Spatial information bottleneck graph structure learning based multivariate time series prediction for industrial processes	237
Cluster system maintenance scheduling multi-objective optimization method integrating time uncertainty GlueVaR risk	231
Collaborative optimization for multirobot manufacturing system reliability through integration of SysML simulation and maintenance knowledge graph	220
Surface roughness prediction through GAN-synthesized power signal as a process signature	218
A methodology for data-driven adjustment of variation propagation models in multistage manufacturing processes	211
Optimal process planning for hybrid additive–subtractive manufacturing using recursive volume decomposition with decision criteria	206
Application and trends of point cloud in intelligent welding: State of the art review	190
Joint multi-objective dynamic scheduling of machine tools and vehicles in a workshop based on digital twin	186
An interpretable convolutional neural network with multi-wavelet kernel fusion for intelligent fault diagnosis	181
Advancing human-robot collaboration: Predicting operator trajectories through AI and infrared imaging	181
A digital twin-based assembly model for multi-source variation fusion on vision transformer	169
Review of manufacturing system design in the interplay of Industry 4.0 and Industry 5.0 (Part II): Design processes and enablers	168
Machine learning based screw drive state detection for unfastening screw connections	159
Optimizing burn-in and predictive maintenance for enhanced reliability in manufacturing systems: A two-unit series system approach	159
Joint optimization of feature sequences and toolpath strategies in multi-feature workpiece machining for minimizing energy consumption and processing time	151
Smart reconfigurable manufacturing towards Industry 5.0	148
Reconfigurable flexible assembly model and implementation for cross-category products	141
A multimodal hierarchical learning approach for virtual metrology in semiconductor manufacturing	139
Data-model linkage prediction of tool remaining useful life based on deep feature fusion and Wiener process	137
Deep reinforcement learning-based dynamic scheduling for resilient and sustainable manufacturing: A systematic review	136
Digital twin based photogrammetry field-of-view evaluation and 3D layout optimisation for reconfigurable manufacturing systems	133

From cost to capability: Technology Multiplier in EV manufacturing strategy	132
An online inference method for condition identification of workpieces with complex residual stress distributions	125
SFRGNN-DA: An enhanced graph neural network with domain adaptation for feature recognition in structural parts machining	125
Hybrid digital twins for smart manufacturing: Architectures, fusion paradigm, and implementation challenges	123
Rescheduling human-robot collaboration tasks under dynamic disassembly scenarios: An MLLM-KG collaboratively enabled approach	122
Interpretable real-time monitoring of pipeline weld crack leakage based on wavelet multi-kernel network	122
Frequency-aware and bionic-aligned collaborative modeling for cross-domain tool wear monitoring under small-sample conditions	110
Editorial Board	109
A skeleton-based assembly action recognition method with feature fusion for human-robot collaborative assembly	109
Implicit residual approximation for multi-sensor data fusion in surface geometry measurement	108
Large language model-enabled cognitive agent for self-aware manufacturing	107
Coarse-to-fine vision-based welding spot anomaly detection in production lines of body-in-white	105
Tool wear identification and prediction method based on stack sparse self-coding network	102
A general mathematic model framework for assembly process driven digital twin of assembly precision	102
Real-time decision-making for Digital Twin in additive manufacturing with Model Predictive Control using time-series deep neural networks	102
Reinforcement and deep reinforcement learning-based solutions for machine maintenance planning, scheduling policies, and optimization	102
A management framework for systematic data integration empowered for digital twin in collaborative manufacturing	99
Integrated decision of production scheduling and condition-based maintenance planning for multi-unit systems with variable replacement thresholds	99
CMDF-LSTM-driven feature point identification of CNC G code leveraging geometric and kinematic information	99
An interpretable industrial digital platform based on Dempster-Shafer theory for pre-diagnosis the quality of hot-rolled strip	99
Optimizing energy efficiency and productivity in industrial manufacturing: A simulation-based optimization approach with knowledge discovery	98
Using a digital twin and smart services to enable automatic generation of context-sensitive instructions	97
A new description model for enabling more general manufacturing systems representation in digital twin	96
An approach based on hybrid-augmented intelligence for the combination and optimization of human-machine teams	95
Production scheduling in Industry 4.0: Morphological analysis of the literature and future research agenda	94
Automated broad transfer learning for cross-domain fault diagnosis	94
Challenges and opportunities on AR/VR technologies for manufacturing systems in the context of industry 4.0: A state of the art review	94
Flexible robotic cell scheduling with graph neural network based deep reinforcement learning	94
An Ontology-based Engineering system to support aircraft manufacturing system design	93
Paired ensemble and group knowledge measurement for health evaluation of wind turbine gearbox under compound fault scenarios	88
Robotic inspection of fastener holes with hybrid visual and ultrasonic motion control	87
Continuous-flow simulation of manufacturing systems with assembly/disassembly machines, multiple loops and general layout	87
A verification-oriented and part-focused assembly monitoring system based on multi-layered digital twin	86
Counterfactual-attention multi-agent reinforcement learning for joint condition-based maintenance and production scheduling	85
A process strategy planning of additive-subtractive hybrid manufacturing based multi-dimensional manufacturability evaluation of geometry feature	82
Opportunistic maintenance optimization of continuous process manufacturing systems considering imperfect maintenance with epistemic uncertainty	82
Balancing yield and makespan in wafer fabrication: A two-stage data-driven scheduling approach	79
Towards industry 5.0: A framework of reconfigurable matrix-structured manufacturing system	79
An intelligent monitoring system for robotic milling process based on transfer learning and digital twin	78
Human-in-the-loop in smart manufacturing (H-SM): A review and perspective	77
Heterogeneous hypergraph learning for analyzing surface defects in additive manufacturing process	77
Vibration energy-based indicators for multi-target condition monitoring in milling operations	77
Robust multimodal latent repair for fault-tolerant cyber–physical production systems	76
Smart ultra-precision machining system integrated with online monitoring of machined surface profile accuracy and real-time error compensation	75
Cyber-physical internet-enabled out-of-order execution considering workload for multi-stage scheduling in hybrid flow shop	75
LLM-based domain-specific knowledge graph construction and hybrid retrieval-augmented generation	75
Towards the industry 5.0 frontier: Review and prospect of XR in product assembly	74
A comprehensive survey for real-world industrial surface defect detection: Challenges, approaches, and prospects	73
A novel integration framework for degradation-state prediction via transformer model with autonomous optimizing mechanism	73