Journal of Manufacturing Systems

Article	Citations
Joint optimization of feature sequences and toolpath strategies in multi-feature workpiece machining for minimizing energy consumption and processing time	1570
On the feasibility of an integrated English wheel system	789
Application and trends of point cloud in intelligent welding: State of the art review	787
Digital twin based photogrammetry field-of-view evaluation and 3D layout optimisation for reconfigurable manufacturing systems	462
Collaborative optimization for multirobot manufacturing system reliability through integration of SysML simulation and maintenance knowledge graph	414
Optimal process planning for hybrid additive–subtractive manufacturing using recursive volume decomposition with decision criteria	373
Reconfigurable flexible assembly model and implementation for cross-category products	269
A multimodal hierarchical learning approach for virtual metrology in semiconductor manufacturing	249
Optimizing burn-in and predictive maintenance for enhanced reliability in manufacturing systems: A two-unit series system approach	237
Joint multi-objective dynamic scheduling of machine tools and vehicles in a workshop based on digital twin	219
Effective dispatching rules mining based on near-optimal schedules in intelligent job shop environment	203
A digital twin-based assembly model for multi-source variation fusion on vision transformer	195
Immersive and interactive cyber-physical system (I2CPS) and virtual reality interface for human involved robotic manufacturing	186
Machine learning based screw drive state detection for unfastening screw connections	182
A framework for designing a degradation-aware controller based on empirical estimation of the state–action cost and model predictive control	169
Using evolutionary artificial neural networks in monitoring binary and polytomous logistic profiles	167
Efficient ship pipeline routing with dual-strategy enhanced ant colony optimization: Active behavior adjustment and passive environmental adaptability	165
Advancing human-robot collaboration: Predicting operator trajectories through AI and infrared imaging	164
Deep reinforcement learning-based dynamic scheduling for resilient and sustainable manufacturing: A systematic review	164
State-of-the-art of selective laser melting process: A comprehensive review	158
Data-model linkage prediction of tool remaining useful life based on deep feature fusion and Wiener process	155
Surface roughness prediction through GAN-synthesized power signal as a process signature	155
Integrated Quality, Maintenance and Production model for multivariate processes: A Bayesian Approach	154
An interpretable convolutional neural network with multi-wavelet kernel fusion for intelligent fault diagnosis	148
A support-design framework for Cooperative Robots systems in labor-intensive manufacturing processes	146

Online quality inspection of resistance spot welding for automotive production lines	145
Review of manufacturing system design in the interplay of Industry 4.0 and Industry 5.0 (Part II): Design processes and enablers	144
A methodology for data-driven adjustment of variation propagation models in multistage manufacturing processes	142
Enabling predictive maintenance integrated production scheduling by operation-specific health prognostics with generative deep learning	135
Editorial Board	134
Production scheduling in Industry 4.0: Morphological analysis of the literature and future research agenda	118
Implicit residual approximation for multi-sensor data fusion in surface geometry measurement	118
Coarse-to-fine vision-based welding spot anomaly detection in production lines of body-in-white	116
SFRGNN-DA: An enhanced graph neural network with domain adaptation for feature recognition in structural parts machining	112
A contextual sensor system for non-intrusive machine status and energy monitoring	110
Rescheduling human-robot collaboration tasks under dynamic disassembly scenarios: An MLLM-KG collaboratively enabled approach	109
A graph-based reinforcement learning-enabled approach for adaptive human-robot collaborative assembly operations	107
A new description model for enabling more general manufacturing systems representation in digital twin	107
Model-based tool condition prognosis using power consumption and scarce surface roughness measurements	106
Establishing a reliable mechanism model of the digital twin machining system: An adaptive evaluation network approach	105
An online inference method for condition identification of workpieces with complex residual stress distributions	103
A skeleton-based assembly action recognition method with feature fusion for human-robot collaborative assembly	103
Flexible robotic cell scheduling with graph neural network based deep reinforcement learning	103
Integrated decision of production scheduling and condition-based maintenance planning for multi-unit systems with variable replacement thresholds	103
A general mathematic model framework for assembly process driven digital twin of assembly precision	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	99
Real-time decision-making for Digital Twin in additive manufacturing with Model Predictive Control using time-series deep neural networks	98
Reinforcement and deep reinforcement learning-based solutions for machine maintenance planning, scheduling policies, and optimization	95
Tool wear identification and prediction method based on stack sparse self-coding network	95
Challenges and opportunities on AR/VR technologies for manufacturing systems in the context of industry 4.0: A state of the art review	94
Detecting anomalies in time series data from a manufacturing system using recurrent neural networks	94
Adoption of machine learning technology for failure prediction in industrial maintenance: A systematic review	92
An Ontology-based Engineering system to support aircraft manufacturing system design	87
Heterogeneous hypergraph learning for analyzing surface defects in additive manufacturing process	84
Prognostic and health management through collaborative maintenance	81
Opportunistic maintenance optimization of continuous process manufacturing systems considering imperfect maintenance with epistemic uncertainty	81
A process strategy planning of additive-subtractive hybrid manufacturing based multi-dimensional manufacturability evaluation of geometry feature	80
Continuous-flow simulation of manufacturing systems with assembly/disassembly machines, multiple loops and general layout	79
A verification-oriented and part-focused assembly monitoring system based on multi-layered digital twin	78
Secure sharing of big digital twin data for smart manufacturing based on blockchain	78
Counterfactual-attention multi-agent reinforcement learning for joint condition-based maintenance and production scheduling	78
A novel integration framework for degradation-state prediction via transformer model with autonomous optimizing mechanism	77
Paired ensemble and group knowledge measurement for health evaluation of wind turbine gearbox under compound fault scenarios	77
An efficient critical path based method for permutation flow shop scheduling problem	77
An intelligent monitoring system for robotic milling process based on transfer learning and digital twin	77
Industrial big data-driven mechanical performance prediction for hot-rolling steel using lower upper bound estimation method	75
Towards the industry 5.0 frontier: Review and prospect of XR in product assembly	74
Enhancing metal additive manufacturing training with the advanced vision language model: A pathway to immersive augmented reality training for non-experts	74
Vibration energy-based indicators for multi-target condition monitoring in milling operations	73
Development of robotic bin picking platform with cluttered objects using human guidance and convolutional neural network (CNN)	73
Federated learning-based semantic segmentation for pixel-wise defect detection in additive manufacturing	72
A methodology for estimating the cost of a digital twin	71
Autonomous grinding algorithms with future prospect towards SMART manufacturing: A comparative survey	70
Integrated scheduling for ring layout multi-station multi-robot welding system with dual function robots and jump stations operations	70

A predictive maintenance model for optimizing production schedule using deep neural networks	69
A generic digital twin model construction strategy for cross-field implementations with comprehensiveness, operability and scalability	69
‘Genetic exploration’ of metal forming processes through information absent and fragmental data processing	68
Digital twin-enabled automated anomaly detection and bottleneck identification in complex manufacturing systems using a multi-agent approach	68
A systematic methodology for changeable and reconfigurable manufacturing systems development	67
Generative deep reinforcement learning method for dynamic parallel machines scheduling with adaptive maintenance activities	67
Classification of mental workload in Human-robot collaboration using machine learning based on physiological feedback	67
Self-adaptive production performance monitoring framework under different operating regimes	66
Challenges of randomness in tool wear with small samples: A physics-informed cross-domain monitoring method	66
LLM enabled generative collaborative design in a mixed reality environment	65
A federated learning approach to automated and secure supplier selection in cyber manufacturing as-a-service	65
Systematic review of class imbalance problems in manufacturing	65
Smart manufacturing powered by recent technological advancements: A review	64
Novel deep learning based soft sensor feature extraction for part weight prediction in injection molding processes	64
Multiple platforms design and product family process planning for combined additive and subtractive manufacturing	62
Advances and innovations in manufacturing systems research 2023	61
Editorial Board	61
Editorial Board	61
Development of digital characteristics of machining based on physics-guided data	60
Corrigendum to “Digital twin-enabled automated anomaly detection and bottleneck identification in complex manufacturing systems using a multi-agent approach” [J Manuf Syst 67 (2023) 242–264]	60
Coaxiality prediction for aeroengines precision assembly based on geometric distribution error model and point cloud deep learning	59
Advances and innovations in manufacturing systems research 2024	59
Applying a fusion of wearable sensors and a cognitive inspired architecture to real-time ergonomics analysis of manual assembly tasks	59
Digital control system of tension during the formation of flexible-oriented three-dimensional composite preforms	59
Leveraging the usage of blockchain toward trust-dominated manufacturing systems	58
Topological Data Analysis in smart manufacturing: State of the art and future directions	58
R-DMDQN: A rule embedding based dynamic multi-objective deep Q-network for mass-individualized production scheduling of printed circuit board	58
Utilizing uncertainty information in remaining useful life estimation via Bayesian neural networks and Hamiltonian Monte Carlo	57
Modeling of reconfigurable manufacturing system architecture with geometric machines and in-stage gantries	56
Data-driven technological life prediction of mechanical and electrical products based on Multidimensional Deep Neural Network: Functional perspective	56
Cloud-edge-end collaborative multi-process dynamic optimization for energy-efficient aluminum casting	55
ChatCNC: Conversational machine monitoring via large language model and real-time data retrieval augmented generation	55
Life cycle assessment of an automated multi-cellular case-picking system	55
Mobile cobots for autonomous raw-material feeding of automatic packaging machines	53
ProcessCarbonAgent: A large language models-empowered autonomous agent for decision-making in manufacturing carbon emission management	53
Making knowledge graphs work for smart manufacturing: Research topics, applications and prospects	52
A new XR-based human‐robot collaboration assembly system based on industrial metaverse	52
The HORSE framework: A reference architecture for cyber-physical systems in hybrid smart manufacturing	52
Multi-objective optimization of the textile manufacturing process using deep-Q-network based multi-agent reinforcement learning	52
Human-centric collaborative assembly system for large-scale space deployable mechanism driven by Digital Twins and wearable AR devices	52
A novel adaptive deep transfer learning method towards thermal error modeling of electric spindles under variable conditions	51
Real-time defect identification of narrow overlap welds and application based on convolutional neural networks	51
Integrated system configuration and layout planning for flexible manufacturing systems	51
Editorial Board	50
Multi-level predictive maintenance of smart manufacturing systems driven by digital twin: A matheuristics approach	49
Feature points classification of computerized numerical control finishing tool path based on graph neural network	49
Editorial Board	49
A digital twin-driven industrial context-aware system: A case study of overhead crane operation	48
Triplet metric driven multi-head GNN augmented with decoupling adversarial learning for intelligent fault diagnosis of machines under varying working condition	48
Contrastive learning-based semantic segmentation for In-situ stratified defect detection in additive manufacturing	47
An augmented surprise-guided sequential learning framework for predicting the melt pool geometry	47
Graduation-inspired synchronization for industry 4.0 planning, scheduling, and execution	47
Real-time in-process control methods of process parameters for additive manufacturing	47
Accelerable adaptive cepstrum and L2-Dual Net for acoustic emission-based quality monitoring in laser shock peening	47
Joint production, maintenance, and quality control in manufacturing systems with imperfect inspection	47
Transfer learning assisted batch optimization of jobs arriving dynamically in manufacturing cloud	46
A Digital Twin system of reconfigurable tooling for monitoring and evaluating in aerospace assembly	46
Cloud-edge-end-based aircraft assembly production quality monitoring system framework and applications	46
A safety management approach for Industry 5.0′s human-centered manufacturing based on digital twin	46
Modeling framework to support decision making and control of manufacturing systems considering the relationship between productivity, reliability, quality, and energy consumption	46
Multi-layer integration framework for low carbon design based on design features	46
An electromyography signals-based human-robot collaboration method for human skill learning and imitation	46
Multimanned disassembly line balancing optimization considering walking workers and task evaluation indicators	44
Deep reinforcement learning for dynamic flexible job shop scheduling problem considering variable processing times	44
Editorial Board	44
Intelligent STEP-NC-compliant setup planning method	43
Functional healthy state evaluation approach for manufacturing systems considering imperfect inspection based on extended stochastic flow network	43
Machine identity authentication via unobservable fingerprinting signature: A functional data analysis approach for MQTT 5.0 protocol	43
Integrated operation planning and process adjustment for optimum cost with attention to manufacturing quality and waste	43
Erratum to “The HORSE framework: A reference architecture for cyber-physical systems in hybrid smart manufacturing” [J Manuf Sys 61 (2021) 461–494]	43
Securing cyber-physical additive manufacturing systems by in-situ process authentication using streamline video analysis	42
Profile extraction and defect detection for stereolithography curing process based on multi-regularized tensor decomposition	42
Employing deep reinforcement learning for machining process planning: An improved framework	42
Decentralized learning multi-agent system for online machine shop scheduling problem	42
Learning digital emulators for closed architecture machine tool controllers	42
Solving task scheduling problems in cloud manufacturing via attention mechanism and deep reinforcement learning	42
Deep learning-based data registration of melt-pool-monitoring images for laser powder bed fusion additive manufacturing	41
A novel MR remote collaboration system using 3D spatial area cue and visual notification	41
Intention recognition-based human–machine interaction for mixed flow assembly	41
Neural agent-based production planning and control: An architectural review	41

Real-time integrated production-scheduling and maintenance-planning in a flexible job shop with machine deterioration and condition-based maintenance	40
Towards smart layout design for a reconfigurable manufacturing system	40
Modified DSAN for unsupervised cross-domain fault diagnosis of bearing under speed fluctuation	40
Point cloud self-supervised learning for machining feature recognition	39
LogicLSTM: Logically-driven long short-term memory model for fault diagnosis in gearboxes	39
AEKD: Unsupervised auto-encoder knowledge distillation for industrial anomaly detection	39
A distributed physical architecture and data-based scheduling method for smart factory based on intelligent agents	39
Graph neural networks-based scheduler for production planning problems using reinforcement learning	39
Energy consumption prediction and optimization of industrial robots based on LSTM	39
A milling tool wear monitoring method with sensing generalization capability	39
Digital twin and cloud-side-end collaboration for intelligent battery management system	39
Prediction of melt pool width and layer height for Laser Directed Energy Deposition enabled by physics-driven temporal convolutional network	39
Workforce planning and production scheduling in a reconfigurable manufacturing system facing the COVID-19 pandemic	39
The advance of digital twin for predictive maintenance: The role and function of machine learning	39
The progress and trend of digital twin research over the last 20 years: A bibliometrics-based visualization analysis	39
Zero Defect Manufacturing: A complete guide for advanced and sustainable quality management	38
A human-centric framework for robotic task learning and optimization	38
A novel data augmentation framework for remaining useful life estimation with dense convolutional regression network	38
Collaborative production and predictive maintenance scheduling for flexible flow shop with stochastic interruptions and monitoring data	38
Comprehensive review on various additive manufacturing techniques and its implementation in electronic devices	38
Editorial Board	37
An LLM-based vision and language cobot navigation approach for Human-centric Smart Manufacturing	37
Towards Self-X cognitive manufacturing network: An industrial knowledge graph-based multi-agent reinforcement learning approach	37
Method for drill-bit arrangement in CNC woodworking drilling machine for mass customization	37
Editorial Board	37
Modeling and analyses of energy consumption for machining features with flexible machining configurations	37
Investigation of assistance systems in assembly in the context of digitalization: A systematic literature review	36
Modelling and optimization of line efficiency for preventive maintenance of robot disassembly line	36
A deep reinforcement learning approach with graph attention network and multi-signal differential reward for dynamic hybrid flow shop scheduling problem	36
A Q-learning-based improved multi-objective genetic algorithm for solving distributed heterogeneous assembly flexible job shop scheduling problems with transfers	36
Digital Twin Technology — A bibliometric study of top research articles based on Local Citation Score	36
Welding parameters and sequences integrated decision-making considering carbon emission and processing time for multi-characteristic laser welding cell	35
Deep learning-based fault diagnosis of planetary gearbox: A systematic review	35
Digital twin-based anomaly detection for real-time tool condition monitoring in machining	35
Physics informed neural networks for fault severity identification of axial piston pumps	35
Neuron synergy based explainable neural network for manufacturing cycle time forecasting	35
Manufacturing cybersecurity threat attributes and countermeasures: Review, meta-taxonomy, and use cases of cyberattack taxonomies	35
Survey on robotic systems for internal logistics	35
Resilient manufacturing: A review of disruptions, assessment, and pathways	34
An aircraft engine remaining useful life prediction method based on predictive vector angle minimization and feature fusion gate improved transformer model	34
A multi-hierarchical aggregation-based graph convolutional network for industrial knowledge graph embedding towards cognitive intelligent manufacturing	34
A novel Soft Actor–Critic framework with disjunctive graph embedding and autoencoder mechanism for Job Shop Scheduling Problems	34
Multichannel profile-based monitoring method and its application in the basic oxygen furnace steelmaking process	34
A multi-scale modeling method for digital twin shop-floor	34
A survey of large language model-augmented knowledge graphs for advanced complex product design	33
Digital twin-based structural health monitoring by combining measurement and computational data: An aircraft wing example	33
Concepts and trends of virtual commissioning – A comprehensive review	33
A fast ramp-up framework for wafer yield improvement in semiconductor manufacturing systems	33
A self-adaptive agent for flexible posture planning in robotic milling system	33
Hybrid quantum particle swarm optimization and variable neighborhood search for flexible job-shop scheduling problem	33
Current development on the Operator 4.0 and transition towards the Operator 5.0: A systematic literature review in light of Industry 5.0	32
Platform-based task assignment for social manufacturing (PBTA4SM): State-of-the-art review and future directions	32
Industry 5.0: Prospect and retrospect	32
Augmented reality in smart manufacturing: Enabling collaboration between humans and artificial intelligence	32
Multi-view fully connected graph to fuse multi-sensor signals for mechanical equipment remaining useful life prediction	32
An adaptive genetic algorithm based on Q-learning for energy-efficient e-waste disassembly line balancing and rebalancing considering task failures	32
Energy-efficient and quality-aware part placement in robotic additive manufacturing	32
Nonlinear dynamics modeling and analysis of aviation drilling actuator feed system considering assembly error	31
Handling features in assembly: Integrating manufacturing considerations early in design discussions	31
Productivity prediction in aircraft final assembly lines: Comparisons and insights in different productivity ranges	31
Thermally controlled shape programming via image-based optimization towards distortion-reduced composite curing	31
Numerical modeling of inkjet cell output under the interplay of cell-laden bioink consumption and sedimentation	31
Active-passive hybrid feed rate control systems in CNC machining: Mitigating force fluctuations and enhancing tool life	30
Abnormal pattern recognition for online inspection in manufacturing process based on multi-scale time series classification	30
Meta-learning based industrial intelligence of feature nearest algorithm selection framework for classification problems	30
Quality detection and classification for ultrasonic welding of carbon fiber composites using time-series data and neural network methods	30
Model-based real-time prediction of surface roughness in fused deposition modeling with graph convolutional network-based error correction	30
Production control in manufacturing systems with perishable products under periodic demand	30
An Integrated Process Planning and Scheduling problem solved from an adaptive multi-objective perspective	30
Human-centric smart manufacturing	30