OOIR: Observatory of International Research

Papers

(The H4-Index of Journal of Manufacturing Systems is 71. 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 2021-06-01 to 2025-06-01.)

Article	Citations
On the feasibility of an integrated English wheel system	1394
Optimizing burn-in and predictive maintenance for enhanced reliability in manufacturing systems: A two-unit series system approach	673
A methodology for data-driven adjustment of variation propagation models in multistage manufacturing processes	664
Joint optimization of feature sequences and toolpath strategies in multi-feature workpiece machining for minimizing energy consumption and processing time	493
A framework for designing a degradation-aware controller based on empirical estimation of the state–action cost and model predictive control	411
Reconfigurable flexible assembly model and implementation for cross-category products	354
A digital twin-based assembly model for multi-source variation fusion on vision transformer	337
Optimal process planning for hybrid additive–subtractive manufacturing using recursive volume decomposition with decision criteria	233
Application and trends of point cloud in intelligent welding: State of the art review	227
Role of additive manufacturing in medical application COVID-19 scenario: India case study	225
A support-design framework for Cooperative Robots systems in labor-intensive manufacturing processes	222
Machine learning based screw drive state detection for unfastening screw connections	187
Data-model linkage prediction of tool remaining useful life based on deep feature fusion and Wiener process	184
Using evolutionary artificial neural networks in monitoring binary and polytomous logistic profiles	183
Advancing human-robot collaboration: Predicting operator trajectories through AI and infrared imaging	172
Joint multi-objective dynamic scheduling of machine tools and vehicles in a workshop based on digital twin	162
Digital twin based photogrammetry field-of-view evaluation and 3D layout optimisation for reconfigurable manufacturing systems	156
Online quality inspection of resistance spot welding for automotive production lines	154
Deep reinforcement learning-based dynamic scheduling for resilient and sustainable manufacturing: A systematic review	153
A multimodal hierarchical learning approach for virtual metrology in semiconductor manufacturing	146
Efficient ship pipeline routing with dual-strategy enhanced ant colony optimization: Active behavior adjustment and passive environmental adaptability	143
Collaborative optimization for multirobot manufacturing system reliability through integration of SysML simulation and maintenance knowledge graph	141
A supply chain disruption recovery strategy considering product change under COVID-19	141
Immersive and interactive cyber-physical system (I2CPS) and virtual reality interface for human involved robotic manufacturing	137
Effective dispatching rules mining based on near-optimal schedules in intelligent job shop environment	136

Review of manufacturing system design in the interplay of Industry 4.0 and Industry 5.0 (Part II): Design processes and enablers	133
Enabling predictive maintenance integrated production scheduling by operation-specific health prognostics with generative deep learning	132
Surface roughness prediction through GAN-synthesized power signal as a process signature	131
An interpretable convolutional neural network with multi-wavelet kernel fusion for intelligent fault diagnosis	130
Integrated Quality, Maintenance and Production model for multivariate processes: A Bayesian Approach	129
State-of-the-art of selective laser melting process: A comprehensive review	126
Editorial Board	120
Modelling the startup of machine tools for energy efficient multi-sleep control policies	117
Production scheduling in Industry 4.0: Morphological analysis of the literature and future research agenda	114
Implicit residual approximation for multi-sensor data fusion in surface geometry measurement	110
Integrated decision of production scheduling and condition-based maintenance planning for multi-unit systems with variable replacement thresholds	109
A skeleton-based assembly action recognition method with feature fusion for human-robot collaborative assembly	106
An online inference method for condition identification of workpieces with complex residual stress distributions	105
A contextual sensor system for non-intrusive machine status and energy monitoring	104
A two-stage hybrid manufacturing model with controllable make-to-order production rates	102
Establishing a reliable mechanism model of the digital twin machining system: An adaptive evaluation network approach	101
Flexible robotic cell scheduling with graph neural network based deep reinforcement learning	100
Reinforcement and deep reinforcement learning-based solutions for machine maintenance planning, scheduling policies, and optimization	98
Detecting anomalies in time series data from a manufacturing system using recurrent neural networks	97
Real-time decision-making for Digital Twin in additive manufacturing with Model Predictive Control using time-series deep neural networks	96
A general mathematic model framework for assembly process driven digital twin of assembly precision	93
A new description model for enabling more general manufacturing systems representation in digital twin	93
Construction method of shop-floor digital twin based on MBSE	93
Rescheduling human-robot collaboration tasks under dynamic disassembly scenarios: An MLLM-KG collaboratively enabled approach	92
Interpretable real-time monitoring of pipeline weld crack leakage based on wavelet multi-kernel network	92
Tool wear identification and prediction method based on stack sparse self-coding network	91
Automated broad transfer learning for cross-domain fault diagnosis	91
An Ontology-based Engineering system to support aircraft manufacturing system design	90
Adoption of machine learning technology for failure prediction in industrial maintenance: A systematic review	89
Challenges and opportunities on AR/VR technologies for manufacturing systems in the context of industry 4.0: A state of the art review	89
Model-based tool condition prognosis using power consumption and scarce surface roughness measurements	87
A graph-based reinforcement learning-enabled approach for adaptive human-robot collaborative assembly operations	86
An efficient critical path based method for permutation flow shop scheduling problem	86
Development of robotic bin picking platform with cluttered objects using human guidance and convolutional neural network (CNN)	86
Rule-based explanations based on ensemble machine learning for detecting sink mark defects in the injection moulding process	84
A verification-oriented and part-focused assembly monitoring system based on multi-layered digital twin	83
Prognostic and health management through collaborative maintenance	80
An intelligent monitoring system for robotic milling process based on transfer learning and digital twin	80
Counterfactual-attention multi-agent reinforcement learning for joint condition-based maintenance and production scheduling	79
A process strategy planning of additive-subtractive hybrid manufacturing based multi-dimensional manufacturability evaluation of geometry feature	79
Secure sharing of big digital twin data for smart manufacturing based on blockchain	78
Enhancing metal additive manufacturing training with the advanced vision language model: A pathway to immersive augmented reality training for non-experts	77
Industrial big data-driven mechanical performance prediction for hot-rolling steel using lower upper bound estimation method	75
Heterogeneous hypergraph learning for analyzing surface defects in additive manufacturing process	75
Paired ensemble and group knowledge measurement for health evaluation of wind turbine gearbox under compound fault scenarios	74
Federated learning-based semantic segmentation for pixel-wise defect detection in additive manufacturing	74
Towards proactive human–robot collaboration: A foreseeable cognitive manufacturing paradigm	71
A novel integration framework for degradation-state prediction via transformer model with autonomous optimizing mechanism	71