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 2022-08-01 to 2026-08-01.)

Article	Citations
A framework for designing a degradation-aware controller based on empirical estimation of the state–action cost and model predictive control	1155
On the feasibility of an integrated English wheel system	288
Spatial information bottleneck graph structure learning based multivariate time series prediction for industrial processes	246
Cluster system maintenance scheduling multi-objective optimization method integrating time uncertainty GlueVaR risk	237
Optimal process planning for hybrid additive–subtractive manufacturing using recursive volume decomposition with decision criteria	224
A multimodal hierarchical learning approach for virtual metrology in semiconductor manufacturing	221
Reconfigurable flexible assembly model and implementation for cross-category products	220
Efficient ship pipeline routing with dual-strategy enhanced ant colony optimization: Active behavior adjustment and passive environmental adaptability	216
Mapping technological advances in drilling for aircraft manufacturing: A hybrid bibliometric and expert-guided review	196
Surface roughness prediction through GAN-synthesized power signal as a process signature	190
A methodology for data-driven adjustment of variation propagation models in multistage manufacturing processes	189
Joint optimization of feature sequences and toolpath strategies in multi-feature workpiece machining for minimizing energy consumption and processing time	181
An interpretable convolutional neural network with multi-wavelet kernel fusion for intelligent fault diagnosis	181
Flexible Manufacturing Systems intralogistics: Dynamic optimization of AGVs and tool sharing using Colored-Timed Petri Nets and actor–critic RL with actions masking	172
Smart reconfigurable manufacturing towards Industry 5.0	169
Review of manufacturing system design in the interplay of Industry 4.0 and Industry 5.0 (Part II): Design processes and enablers	160
Collaborative optimization for multirobot manufacturing system reliability through integration of SysML simulation and maintenance knowledge graph	156
Deep reinforcement learning-based dynamic scheduling for resilient and sustainable manufacturing: A systematic review	156
Machine learning based screw drive state detection for unfastening screw connections	155
Digital twin based photogrammetry field-of-view evaluation and 3D layout optimisation for reconfigurable manufacturing systems	152
Application and trends of point cloud in intelligent welding: State of the art review	142
Advancing human-robot collaboration: Predicting operator trajectories through AI and infrared imaging	141
A digital twin-based assembly model for multi-source variation fusion on vision transformer	140
Optimizing burn-in and predictive maintenance for enhanced reliability in manufacturing systems: A two-unit series system approach	135
Editorial Board	131

Data-model linkage prediction of tool remaining useful life based on deep feature fusion and Wiener process	131
Joint multi-objective dynamic scheduling of machine tools and vehicles in a workshop based on digital twin	131
Implicit residual approximation for multi-sensor data fusion in surface geometry measurement	119
An interpretable industrial digital platform based on Dempster-Shafer theory for pre-diagnosis the quality of hot-rolled strip	117
An online inference method for condition identification of workpieces with complex residual stress distributions	116
A skeleton-based assembly action recognition method with feature fusion for human-robot collaborative assembly	115
Optimizing energy efficiency and productivity in industrial manufacturing: A simulation-based optimization approach with knowledge discovery	113
CMDF-LSTM-driven feature point identification of CNC G code leveraging geometric and kinematic information	112
Hybrid digital twins for smart manufacturing: Architectures, fusion paradigm, and implementation challenges	110
Production scheduling in Industry 4.0: Morphological analysis of the literature and future research agenda	110
Frequency-aware and bionic-aligned collaborative modeling for cross-domain tool wear monitoring under small-sample conditions	109
Challenges and opportunities on AR/VR technologies for manufacturing systems in the context of industry 4.0: A state of the art review	107
Interpretable real-time monitoring of pipeline weld crack leakage based on wavelet multi-kernel network	106
From cost to capability: Technology Multiplier in EV manufacturing strategy	106
A general mathematic model framework for assembly process driven digital twin of assembly precision	105
An approach based on hybrid-augmented intelligence for the combination and optimization of human-machine teams	104
A management framework for systematic data integration empowered for digital twin in collaborative manufacturing	103
An Ontology-based Engineering system to support aircraft manufacturing system design	101
Rescheduling human-robot collaboration tasks under dynamic disassembly scenarios: An MLLM-KG collaboratively enabled approach	100
Automated broad transfer learning for cross-domain fault diagnosis	97
Flexible robotic cell scheduling with graph neural network based deep reinforcement learning	94
A new description model for enabling more general manufacturing systems representation in digital twin	91
Dual-stream adaptive graph convolutional network with enhanced skeleton representation for human-robot collaborative assembly intention recognition	91
SFRGNN-DA: An enhanced graph neural network with domain adaptation for feature recognition in structural parts machining	90
Using a digital twin and smart services to enable automatic generation of context-sensitive instructions	90
Integrated decision of production scheduling and condition-based maintenance planning for multi-unit systems with variable replacement thresholds	89
Tool wear identification and prediction method based on stack sparse self-coding network	89
Coarse-to-fine vision-based welding spot anomaly detection in production lines of body-in-white	88
Reinforcement and deep reinforcement learning-based solutions for machine maintenance planning, scheduling policies, and optimization	88
Real-time decision-making for Digital Twin in additive manufacturing with Model Predictive Control using time-series deep neural networks	85
Large language model-enabled cognitive agent for self-aware manufacturing	85
Smart ultra-precision machining system integrated with online monitoring of machined surface profile accuracy and real-time error compensation	83
Robust multimodal latent repair for fault-tolerant cyber–physical production systems	82
Cyber-physical internet-enabled out-of-order execution considering workload for multi-stage scheduling in hybrid flow shop	82
Heterogeneous hypergraph learning for analyzing surface defects in additive manufacturing process	80
Industrial big data-driven mechanical performance prediction for hot-rolling steel using lower upper bound estimation method	79
Enhancing metal additive manufacturing training with the advanced vision language model: A pathway to immersive augmented reality training for non-experts	79
A verification-oriented and part-focused assembly monitoring system based on multi-layered digital twin	78
Opportunistic maintenance optimization of continuous process manufacturing systems considering imperfect maintenance with epistemic uncertainty	78
Continuous-flow simulation of manufacturing systems with assembly/disassembly machines, multiple loops and general layout	78
A process strategy planning of additive-subtractive hybrid manufacturing based multi-dimensional manufacturability evaluation of geometry feature	78
Towards industry 5.0: A framework of reconfigurable matrix-structured manufacturing system	78
Balancing yield and makespan in wafer fabrication: A two-stage data-driven scheduling approach	77
Vibration energy-based indicators for multi-target condition monitoring in milling operations	77
Robotic inspection of fastener holes with hybrid visual and ultrasonic motion control	77
Towards the industry 5.0 frontier: Review and prospect of XR in product assembly	76
Counterfactual-attention multi-agent reinforcement learning for joint condition-based maintenance and production scheduling	76
Paired ensemble and group knowledge measurement for health evaluation of wind turbine gearbox under compound fault scenarios	75
LLM-based domain-specific knowledge graph construction and hybrid retrieval-augmented generation	73
An intelligent monitoring system for robotic milling process based on transfer learning and digital twin	73

Human-in-the-loop in smart manufacturing (H-SM): A review and perspective