OOIR: Observatory of International Research

Papers

(The H4-Index of Journal of Manufacturing Systems is 70. 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 2021-05-01 to 2025-05-01.)

Article	Citations
Deep reinforcement learning-based dynamic scheduling for resilient and sustainable manufacturing: A systematic review	1358
On the feasibility of an integrated English wheel system	648
Optimizing burn-in and predictive maintenance for enhanced reliability in manufacturing systems: A two-unit series system approach	626
A methodology for data-driven adjustment of variation propagation models in multistage manufacturing processes	477
Joint optimization of feature sequences and toolpath strategies in multi-feature workpiece machining for minimizing energy consumption and processing time	399
A framework for designing a degradation-aware controller based on empirical estimation of the state–action cost and model predictive control	340
Reconfigurable flexible assembly model and implementation for cross-category products	323
A digital twin-based assembly model for multi-source variation fusion on vision transformer	222
Using evolutionary artificial neural networks in monitoring binary and polytomous logistic profiles	221
Advancing human-robot collaboration: Predicting operator trajectories through AI and infrared imaging	217
Integrated Quality, Maintenance and Production model for multivariate processes: A Bayesian Approach	214
Optimal process planning for hybrid additive–subtractive manufacturing using recursive volume decomposition with decision criteria	183
Machine learning based screw drive state detection for unfastening screw connections	178
Immersive and interactive cyber-physical system (I2CPS) and virtual reality interface for human involved robotic manufacturing	173
Role of additive manufacturing in medical application COVID-19 scenario: India case study	167
Online quality inspection of resistance spot welding for automotive production lines	160
A support-design framework for Cooperative Robots systems in labor-intensive manufacturing processes	154
Review of manufacturing system design in the interplay of Industry 4.0 and Industry 5.0 (Part II): Design processes and enablers	152
Application and trends of point cloud in intelligent welding: State of the art review	148
Surface roughness prediction through GAN-synthesized power signal as a process signature	141
Enabling predictive maintenance integrated production scheduling by operation-specific health prognostics with generative deep learning	140
A supply chain disruption recovery strategy considering product change under COVID-19	135
An interpretable convolutional neural network with multi-wavelet kernel fusion for intelligent fault diagnosis	135
Joint multi-objective dynamic scheduling of machine tools and vehicles in a workshop based on digital twin	135
Effective dispatching rules mining based on near-optimal schedules in intelligent job shop environment	130

Data-model linkage prediction of tool remaining useful life based on deep feature fusion and Wiener process	129
State-of-the-art of selective laser melting process: A comprehensive review	129
Digital twin based photogrammetry field-of-view evaluation and 3D layout optimisation for reconfigurable manufacturing systems	128
Production scheduling in Industry 4.0: Morphological analysis of the literature and future research agenda	127
Editorial Board	123
A contextual sensor system for non-intrusive machine status and energy monitoring	119
A graph-based reinforcement learning-enabled approach for adaptive human-robot collaborative assembly operations	113
A new description model for enabling more general manufacturing systems representation in digital twin	111
A general mathematic model framework for assembly process driven digital twin of assembly precision	108
An Ontology-based Engineering system to support aircraft manufacturing system design	106
Establishing a reliable mechanism model of the digital twin machining system: An adaptive evaluation network approach	103
Integrated decision of production scheduling and condition-based maintenance planning for multi-unit systems with variable replacement thresholds	102
A two-stage hybrid manufacturing model with controllable make-to-order production rates	102
Flexible robotic cell scheduling with graph neural network based deep reinforcement learning	101
A skeleton-based assembly action recognition method with feature fusion for human-robot collaborative assembly	99
Automated broad transfer learning for cross-domain fault diagnosis	98
Adoption of machine learning technology for failure prediction in industrial maintenance: A systematic review	97
Interpretable real-time monitoring of pipeline weld crack leakage based on wavelet multi-kernel network	95
An online inference method for condition identification of workpieces with complex residual stress distributions	95
Model-based tool condition prognosis using power consumption and scarce surface roughness measurements	93
Tool wear identification and prediction method based on stack sparse self-coding network	92
Construction method of shop-floor digital twin based on MBSE	92
Challenges and opportunities on AR/VR technologies for manufacturing systems in the context of industry 4.0: A state of the art review	90
Detecting anomalies in time series data from a manufacturing system using recurrent neural networks	89
Implicit residual approximation for multi-sensor data fusion in surface geometry measurement	89
Reinforcement and deep reinforcement learning-based solutions for machine maintenance planning, scheduling policies, and optimization	89
Development of robotic bin picking platform with cluttered objects using human guidance and convolutional neural network (CNN)	88
Modelling the startup of machine tools for energy efficient multi-sleep control policies	88
Federated learning-based semantic segmentation for pixel-wise defect detection in additive manufacturing	87
An efficient critical path based method for permutation flow shop scheduling problem	87
Industrial big data-driven mechanical performance prediction for hot-rolling steel using lower upper bound estimation method	86
Continuous-flow simulation of manufacturing systems with assembly/disassembly machines, multiple loops and general layout	81
A verification-oriented and part-focused assembly monitoring system based on multi-layered digital twin	81
Enhancing metal additive manufacturing training with the advanced vision language model: A pathway to immersive augmented reality training for non-experts	78
Towards the industry 5.0 frontier: Review and prospect of XR in product assembly	78
Prognostic and health management through collaborative maintenance	77
A novel integration framework for degradation-state prediction via transformer model with autonomous optimizing mechanism	77
An intelligent monitoring system for robotic milling process based on transfer learning and digital twin	77
Heterogeneous hypergraph learning for analyzing surface defects in additive manufacturing process	76
Secure sharing of big digital twin data for smart manufacturing based on blockchain	73
Vibration energy-based indicators for multi-target condition monitoring in milling operations	73
Towards proactive human–robot collaboration: A foreseeable cognitive manufacturing paradigm	72
Counterfactual-attention multi-agent reinforcement learning for joint condition-based maintenance and production scheduling	72
A process strategy planning of additive-subtractive hybrid manufacturing based multi-dimensional manufacturability evaluation of geometry feature	71
Rule-based explanations based on ensemble machine learning for detecting sink mark defects in the injection moulding process	71
Paired ensemble and group knowledge measurement for health evaluation of wind turbine gearbox under compound fault scenarios	70
Opportunistic maintenance optimization of continuous process manufacturing systems considering imperfect maintenance with epistemic uncertainty	70