OOIR: Observatory of International Research

Papers

(The H4-Index of Journal of Manufacturing Systems is 74. 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 2021-12-01 to 2025-12-01.)

Article	Citations
Machine learning based screw drive state detection for unfastening screw connections	899
Optimal process planning for hybrid additive–subtractive manufacturing using recursive volume decomposition with decision criteria	887
A multimodal hierarchical learning approach for virtual metrology in semiconductor manufacturing	499
Reconfigurable flexible assembly model and implementation for cross-category products	458
Flexible Manufacturing Systems intralogistics: Dynamic optimization of AGVs and tool sharing using Colored-Timed Petri Nets and actor–critic RL with actions masking	407
On the feasibility of an integrated English wheel system	316
A methodology for data-driven adjustment of variation propagation models in multistage manufacturing processes	277
Efficient ship pipeline routing with dual-strategy enhanced ant colony optimization: Active behavior adjustment and passive environmental adaptability	270
Advancing human-robot collaboration: Predicting operator trajectories through AI and infrared imaging	255
A digital twin-based assembly model for multi-source variation fusion on vision transformer	233
Joint optimization of feature sequences and toolpath strategies in multi-feature workpiece machining for minimizing energy consumption and processing time	225
Optimizing burn-in and predictive maintenance for enhanced reliability in manufacturing systems: A two-unit series system approach	210
Cluster system maintenance scheduling multi-objective optimization method integrating time uncertainty GlueVaR risk	206
Digital twin based photogrammetry field-of-view evaluation and 3D layout optimisation for reconfigurable manufacturing systems	189
Effective dispatching rules mining based on near-optimal schedules in intelligent job shop environment	185
Integrated Quality, Maintenance and Production model for multivariate processes: A Bayesian Approach	181
Online quality inspection of resistance spot welding for automotive production lines	181
Collaborative optimization for multirobot manufacturing system reliability through integration of SysML simulation and maintenance knowledge graph	180
Application and trends of point cloud in intelligent welding: State of the art review	179
Deep reinforcement learning-based dynamic scheduling for resilient and sustainable manufacturing: A systematic review	176
Joint multi-objective dynamic scheduling of machine tools and vehicles in a workshop based on digital twin	174
Surface roughness prediction through GAN-synthesized power signal as a process signature	174
Immersive and interactive cyber-physical system (I2CPS) and virtual reality interface for human involved robotic manufacturing	174
Review of manufacturing system design in the interplay of Industry 4.0 and Industry 5.0 (Part II): Design processes and enablers	157
A framework for designing a degradation-aware controller based on empirical estimation of the state–action cost and model predictive control	154

An interpretable convolutional neural network with multi-wavelet kernel fusion for intelligent fault diagnosis	151
Data-model linkage prediction of tool remaining useful life based on deep feature fusion and Wiener process	146
State-of-the-art of selective laser melting process: A comprehensive review	130
Coarse-to-fine vision-based welding spot anomaly detection in production lines of body-in-white	129
SFRGNN-DA: An enhanced graph neural network with domain adaptation for feature recognition in structural parts machining	128
Implicit residual approximation for multi-sensor data fusion in surface geometry measurement	127
A general mathematic model framework for assembly process driven digital twin of assembly precision	123
Establishing a reliable mechanism model of the digital twin machining system: An adaptive evaluation network approach	123
Optimizing energy efficiency and productivity in industrial manufacturing: A simulation-based optimization approach with knowledge discovery	122
Editorial Board	117
From cost to capability: Technology Multiplier in EV manufacturing strategy	116
Large language model-enabled cognitive agent for self-aware manufacturing	115
An approach based on hybrid-augmented intelligence for the combination and optimization of human-machine teams	114
Integrated decision of production scheduling and condition-based maintenance planning for multi-unit systems with variable replacement thresholds	112
A contextual sensor system for non-intrusive machine status and energy monitoring	111
An Ontology-based Engineering system to support aircraft manufacturing system design	108
Tool wear identification and prediction method based on stack sparse self-coding network	107
Real-time decision-making for Digital Twin in additive manufacturing with Model Predictive Control using time-series deep neural networks	102
Flexible robotic cell scheduling with graph neural network based deep reinforcement learning	102
Automated broad transfer learning for cross-domain fault diagnosis	100
Interpretable real-time monitoring of pipeline weld crack leakage based on wavelet multi-kernel network	100
Using a digital twin and smart services to enable automatic generation of context-sensitive instructions	99
Production scheduling in Industry 4.0: Morphological analysis of the literature and future research agenda	99
An interpretable industrial digital platform based on Dempster-Shafer theory for pre-diagnosis the quality of hot-rolled strip	98
Reinforcement and deep reinforcement learning-based solutions for machine maintenance planning, scheduling policies, and optimization	95
Detecting anomalies in time series data from a manufacturing system using recurrent neural networks	94
A new description model for enabling more general manufacturing systems representation in digital twin	90
An online inference method for condition identification of workpieces with complex residual stress distributions	89
A graph-based reinforcement learning-enabled approach for adaptive human-robot collaborative assembly operations	88
A skeleton-based assembly action recognition method with feature fusion for human-robot collaborative assembly	88
Challenges and opportunities on AR/VR technologies for manufacturing systems in the context of industry 4.0: A state of the art review	87
Rescheduling human-robot collaboration tasks under dynamic disassembly scenarios: An MLLM-KG collaboratively enabled approach	85
Balancing yield and makespan in wafer fabrication: A two-stage data-driven scheduling approach	84
Continuous-flow simulation of manufacturing systems with assembly/disassembly machines, multiple loops and general layout	83
A verification-oriented and part-focused assembly monitoring system based on multi-layered digital twin	82
An intelligent monitoring system for robotic milling process based on transfer learning and digital twin	82
Enhancing metal additive manufacturing training with the advanced vision language model: A pathway to immersive augmented reality training for non-experts	82
A novel integration framework for degradation-state prediction via transformer model with autonomous optimizing mechanism	81
Counterfactual-attention multi-agent reinforcement learning for joint condition-based maintenance and production scheduling	80
Paired ensemble and group knowledge measurement for health evaluation of wind turbine gearbox under compound fault scenarios	80
Towards the industry 5.0 frontier: Review and prospect of XR in product assembly	79
An efficient critical path based method for permutation flow shop scheduling problem	77
A process strategy planning of additive-subtractive hybrid manufacturing based multi-dimensional manufacturability evaluation of geometry feature	77
Human-in-the-loop in smart manufacturing (H-SM): A review and perspective	76
Industrial big data-driven mechanical performance prediction for hot-rolling steel using lower upper bound estimation method	75
Towards industry 5.0: A framework of reconfigurable matrix-structured manufacturing system	75
Development of robotic bin picking platform with cluttered objects using human guidance and convolutional neural network (CNN)	75
Vibration energy-based indicators for multi-target condition monitoring in milling operations	74
Robotic inspection of fastener holes with hybrid visual and ultrasonic motion control	74