Journal of Manufacturing Systems

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 2021-08-01 to 2025-08-01.)
ArticleCitations
Joint optimization of feature sequences and toolpath strategies in multi-feature workpiece machining for minimizing energy consumption and processing time1513
On the feasibility of an integrated English wheel system750
Advancing human-robot collaboration: Predicting operator trajectories through AI and infrared imaging742
Application and trends of point cloud in intelligent welding: State of the art review447
A methodology for data-driven adjustment of variation propagation models in multistage manufacturing processes393
Surface roughness prediction through GAN-synthesized power signal as a process signature361
Online quality inspection of resistance spot welding for automotive production lines253
Deep reinforcement learning-based dynamic scheduling for resilient and sustainable manufacturing: A systematic review243
Optimizing burn-in and predictive maintenance for enhanced reliability in manufacturing systems: A two-unit series system approach230
Data-model linkage prediction of tool remaining useful life based on deep feature fusion and Wiener process209
Digital twin based photogrammetry field-of-view evaluation and 3D layout optimisation for reconfigurable manufacturing systems193
Collaborative optimization for multirobot manufacturing system reliability through integration of SysML simulation and maintenance knowledge graph188
Immersive and interactive cyber-physical system (I2CPS) and virtual reality interface for human involved robotic manufacturing174
Optimal process planning for hybrid additive–subtractive manufacturing using recursive volume decomposition with decision criteria169
An interpretable convolutional neural network with multi-wavelet kernel fusion for intelligent fault diagnosis164
Reconfigurable flexible assembly model and implementation for cross-category products162
A multimodal hierarchical learning approach for virtual metrology in semiconductor manufacturing160
Integrated Quality, Maintenance and Production model for multivariate processes: A Bayesian Approach160
Machine learning based screw drive state detection for unfastening screw connections155
A framework for designing a degradation-aware controller based on empirical estimation of the state–action cost and model predictive control150
Enabling predictive maintenance integrated production scheduling by operation-specific health prognostics with generative deep learning148
A support-design framework for Cooperative Robots systems in labor-intensive manufacturing processes147
Joint multi-objective dynamic scheduling of machine tools and vehicles in a workshop based on digital twin146
A digital twin-based assembly model for multi-source variation fusion on vision transformer140
Review of manufacturing system design in the interplay of Industry 4.0 and Industry 5.0 (Part II): Design processes and enablers139
Efficient ship pipeline routing with dual-strategy enhanced ant colony optimization: Active behavior adjustment and passive environmental adaptability139
Using evolutionary artificial neural networks in monitoring binary and polytomous logistic profiles137
State-of-the-art of selective laser melting process: A comprehensive review131
Effective dispatching rules mining based on near-optimal schedules in intelligent job shop environment129
Editorial Board124
Production scheduling in Industry 4.0: Morphological analysis of the literature and future research agenda116
Implicit residual approximation for multi-sensor data fusion in surface geometry measurement113
SFRGNN-DA: An enhanced graph neural network with domain adaptation for feature recognition in structural parts machining109
Coarse-to-fine vision-based welding spot anomaly detection in production lines of body-in-white109
Detecting anomalies in time series data from a manufacturing system using recurrent neural networks108
A skeleton-based assembly action recognition method with feature fusion for human-robot collaborative assembly105
Automated broad transfer learning for cross-domain fault diagnosis104
Establishing a reliable mechanism model of the digital twin machining system: An adaptive evaluation network approach102
Model-based tool condition prognosis using power consumption and scarce surface roughness measurements99
Rescheduling human-robot collaboration tasks under dynamic disassembly scenarios: An MLLM-KG collaboratively enabled approach99
An online inference method for condition identification of workpieces with complex residual stress distributions99
A contextual sensor system for non-intrusive machine status and energy monitoring99
Integrated decision of production scheduling and condition-based maintenance planning for multi-unit systems with variable replacement thresholds98
A graph-based reinforcement learning-enabled approach for adaptive human-robot collaborative assembly operations97
Interpretable real-time monitoring of pipeline weld crack leakage based on wavelet multi-kernel network97
A general mathematic model framework for assembly process driven digital twin of assembly precision97
An Ontology-based Engineering system to support aircraft manufacturing system design93
A new description model for enabling more general manufacturing systems representation in digital twin92
Real-time decision-making for Digital Twin in additive manufacturing with Model Predictive Control using time-series deep neural networks92
Reinforcement and deep reinforcement learning-based solutions for machine maintenance planning, scheduling policies, and optimization91
Tool wear identification and prediction method based on stack sparse self-coding network89
Adoption of machine learning technology for failure prediction in industrial maintenance: A systematic review88
Challenges and opportunities on AR/VR technologies for manufacturing systems in the context of industry 4.0: A state of the art review86
Flexible robotic cell scheduling with graph neural network based deep reinforcement learning85
Development of robotic bin picking platform with cluttered objects using human guidance and convolutional neural network (CNN)80
Heterogeneous hypergraph learning for analyzing surface defects in additive manufacturing process78
Counterfactual-attention multi-agent reinforcement learning for joint condition-based maintenance and production scheduling77
Prognostic and health management through collaborative maintenance77
Paired ensemble and group knowledge measurement for health evaluation of wind turbine gearbox under compound fault scenarios76
Towards the industry 5.0 frontier: Review and prospect of XR in product assembly76
An efficient critical path based method for permutation flow shop scheduling problem76
Opportunistic maintenance optimization of continuous process manufacturing systems considering imperfect maintenance with epistemic uncertainty76
A process strategy planning of additive-subtractive hybrid manufacturing based multi-dimensional manufacturability evaluation of geometry feature75
Continuous-flow simulation of manufacturing systems with assembly/disassembly machines, multiple loops and general layout74
Enhancing metal additive manufacturing training with the advanced vision language model: A pathway to immersive augmented reality training for non-experts74
A verification-oriented and part-focused assembly monitoring system based on multi-layered digital twin74
Federated learning-based semantic segmentation for pixel-wise defect detection in additive manufacturing72
A novel integration framework for degradation-state prediction via transformer model with autonomous optimizing mechanism71
Industrial big data-driven mechanical performance prediction for hot-rolling steel using lower upper bound estimation method70
Secure sharing of big digital twin data for smart manufacturing based on blockchain70
An intelligent monitoring system for robotic milling process based on transfer learning and digital twin70
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