Journal of Manufacturing Systems

Article	Citations
Flexible Manufacturing Systems intralogistics: Dynamic optimization of AGVs and tool sharing using Colored-Timed Petri Nets and actor–critic RL with actions masking	1075
A framework for designing a degradation-aware controller based on empirical estimation of the state–action cost and model predictive control	1057
Digital twin based photogrammetry field-of-view evaluation and 3D layout optimisation for reconfigurable manufacturing systems	536
On the feasibility of an integrated English wheel system	263
Reconfigurable flexible assembly model and implementation for cross-category products	226
Optimal process planning for hybrid additive–subtractive manufacturing using recursive volume decomposition with decision criteria	225
Efficient ship pipeline routing with dual-strategy enhanced ant colony optimization: Active behavior adjustment and passive environmental adaptability	215
A methodology for data-driven adjustment of variation propagation models in multistage manufacturing processes	213
Spatial information bottleneck graph structure learning based multivariate time series prediction for industrial processes	207
Cluster system maintenance scheduling multi-objective optimization method integrating time uncertainty GlueVaR risk	196
Collaborative optimization for multirobot manufacturing system reliability through integration of SysML simulation and maintenance knowledge graph	181
Application and trends of point cloud in intelligent welding: State of the art review	179
Machine learning based screw drive state detection for unfastening screw connections	176
Surface roughness prediction through GAN-synthesized power signal as a process signature	174
A digital twin-based assembly model for multi-source variation fusion on vision transformer	164
An interpretable convolutional neural network with multi-wavelet kernel fusion for intelligent fault diagnosis	163
Review of manufacturing system design in the interplay of Industry 4.0 and Industry 5.0 (Part II): Design processes and enablers	156
A multimodal hierarchical learning approach for virtual metrology in semiconductor manufacturing	151
Data-model linkage prediction of tool remaining useful life based on deep feature fusion and Wiener process	143
Advancing human-robot collaboration: Predicting operator trajectories through AI and infrared imaging	141
Optimizing burn-in and predictive maintenance for enhanced reliability in manufacturing systems: A two-unit series system approach	136
Joint multi-objective dynamic scheduling of machine tools and vehicles in a workshop based on digital twin	134
Joint optimization of feature sequences and toolpath strategies in multi-feature workpiece machining for minimizing energy consumption and processing time	133
Deep reinforcement learning-based dynamic scheduling for resilient and sustainable manufacturing: A systematic review	132
From cost to capability: Technology Multiplier in EV manufacturing strategy	130

A skeleton-based assembly action recognition method with feature fusion for human-robot collaborative assembly	125
An Ontology-based Engineering system to support aircraft manufacturing system design	121
Tool wear identification and prediction method based on stack sparse self-coding network	119
SFRGNN-DA: An enhanced graph neural network with domain adaptation for feature recognition in structural parts machining	118
A general mathematic model framework for assembly process driven digital twin of assembly precision	116
Integrated decision of production scheduling and condition-based maintenance planning for multi-unit systems with variable replacement thresholds	114
Interpretable real-time monitoring of pipeline weld crack leakage based on wavelet multi-kernel network	108
An online inference method for condition identification of workpieces with complex residual stress distributions	107
Editorial Board	105
Automated broad transfer learning for cross-domain fault diagnosis	103
Implicit residual approximation for multi-sensor data fusion in surface geometry measurement	102
Coarse-to-fine vision-based welding spot anomaly detection in production lines of body-in-white	101
CMDF-LSTM-driven feature point identification of CNC G code leveraging geometric and kinematic information	100
An interpretable industrial digital platform based on Dempster-Shafer theory for pre-diagnosis the quality of hot-rolled strip	100
Optimizing energy efficiency and productivity in industrial manufacturing: A simulation-based optimization approach with knowledge discovery	99
Hybrid digital twins for smart manufacturing: Architectures, fusion paradigm, and implementation challenges	99
Using a digital twin and smart services to enable automatic generation of context-sensitive instructions	98
A new description model for enabling more general manufacturing systems representation in digital twin	97
An approach based on hybrid-augmented intelligence for the combination and optimization of human-machine teams	96
Real-time decision-making for Digital Twin in additive manufacturing with Model Predictive Control using time-series deep neural networks	95
Flexible robotic cell scheduling with graph neural network based deep reinforcement learning	95
Rescheduling human-robot collaboration tasks under dynamic disassembly scenarios: An MLLM-KG collaboratively enabled approach	94
Challenges and opportunities on AR/VR technologies for manufacturing systems in the context of industry 4.0: A state of the art review	93
Frequency-aware and bionic-aligned collaborative modeling for cross-domain tool wear monitoring under small-sample conditions	93
Large language model-enabled cognitive agent for self-aware manufacturing	92
Production scheduling in Industry 4.0: Morphological analysis of the literature and future research agenda	92
Reinforcement and deep reinforcement learning-based solutions for machine maintenance planning, scheduling policies, and optimization	91
Paired ensemble and group knowledge measurement for health evaluation of wind turbine gearbox under compound fault scenarios	91
Balancing yield and makespan in wafer fabrication: A two-stage data-driven scheduling approach	90
Robotic inspection of fastener holes with hybrid visual and ultrasonic motion control	86
Human-in-the-loop in smart manufacturing (H-SM): A review and perspective	85
Enhancing metal additive manufacturing training with the advanced vision language model: A pathway to immersive augmented reality training for non-experts	85
A novel integration framework for degradation-state prediction via transformer model with autonomous optimizing mechanism	85
A verification-oriented and part-focused assembly monitoring system based on multi-layered digital twin	82
Counterfactual-attention multi-agent reinforcement learning for joint condition-based maintenance and production scheduling	82
Industrial big data-driven mechanical performance prediction for hot-rolling steel using lower upper bound estimation method	80
Towards industry 5.0: A framework of reconfigurable matrix-structured manufacturing system	79
Vibration energy-based indicators for multi-target condition monitoring in milling operations	79
Federated learning-based semantic segmentation for pixel-wise defect detection in additive manufacturing	74
Heterogeneous hypergraph learning for analyzing surface defects in additive manufacturing process	74
Opportunistic maintenance optimization of continuous process manufacturing systems considering imperfect maintenance with epistemic uncertainty	74
A process strategy planning of additive-subtractive hybrid manufacturing based multi-dimensional manufacturability evaluation of geometry feature	74
Continuous-flow simulation of manufacturing systems with assembly/disassembly machines, multiple loops and general layout	73
Towards the industry 5.0 frontier: Review and prospect of XR in product assembly	73
A comprehensive survey for real-world industrial surface defect detection: Challenges, approaches, and prospects	72
An intelligent monitoring system for robotic milling process based on transfer learning and digital twin	72
Self-adaptive production performance monitoring framework under different operating regimes	71
Design of laser-assisted processing digital twin system	70
Q-learning-based multi-objective spotted hyena algorithm for flexible open shop scheduling problem with consideration of preventive maintenance and travel/setup times	70
Integrated scheduling for ring layout multi-station multi-robot welding system with dual function robots and jump stations operations	69

Digital twin-enabled automated anomaly detection and bottleneck identification in complex manufacturing systems using a multi-agent approach	68
Classification of mental workload in Human-robot collaboration using machine learning based on physiological feedback	68
Generative deep reinforcement learning method for dynamic parallel machines scheduling with adaptive maintenance activities	68
‘Genetic exploration’ of metal forming processes through information absent and fragmental data processing	68
A federated learning approach to automated and secure supplier selection in cyber manufacturing as-a-service	67
A generic digital twin model construction strategy for cross-field implementations with comprehensiveness, operability and scalability	67
Corrigendum to “Robotised disassembly of electric vehicle batteries: A systematic literature review” [JMSY, 74 (2024) pp 901–921)	66
A methodology for estimating the cost of a digital twin	65
Skeleton-based action recognition for manufacturing assembly task through graph convolution network	64
Novel deep learning based soft sensor feature extraction for part weight prediction in injection molding processes	64
Smart manufacturing powered by recent technological advancements: A review	64
Systematic review of class imbalance problems in manufacturing	63
Challenges of randomness in tool wear with small samples: A physics-informed cross-domain monitoring method	61
Flexible pallet automation system scheduling with limited fixture-pallets and material-pallets: A case study from an engine manufacturing enterprise	61
A systematic methodology for changeable and reconfigurable manufacturing systems development	61
LLM enabled generative collaborative design in a mixed reality environment	61
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
Editorial Board	60
R-DMDQN: A rule embedding based dynamic multi-objective deep Q-network for mass-individualized production scheduling of printed circuit board	60
Advances and innovations in manufacturing systems research 2024	60
Data-driven technological life prediction of mechanical and electrical products based on Multidimensional Deep Neural Network: Functional perspective	59
A novel adaptive deep transfer learning method towards thermal error modeling of electric spindles under variable conditions	59
Cross-region robotic grinding with adaptive toolpath planning and force control for point clouds of complex curved workpieces	59
Development of digital characteristics of machining based on physics-guided data	59
Mobile cobots for autonomous raw-material feeding of automatic packaging machines	59
Integrated system configuration and layout planning for flexible manufacturing systems	59
Life cycle assessment of an automated multi-cellular case-picking system	58
A new XR-based human‐robot collaboration assembly system based on industrial metaverse	58
Advances and innovations in manufacturing systems research 2023	57
Topological Data Analysis in smart manufacturing: State of the art and future directions	56
Digital control system of tension during the formation of flexible-oriented three-dimensional composite preforms	56
An extended graphical method with reinforcement learning for distributed job shop scheduling problems with transfers	55
Cloud-edge-end collaborative multi-process dynamic optimization for energy-efficient aluminum casting	54
Knowledge-guided multimodal LLM with mixture-of-experts for interpretable defect detection and fault diagnosis: An industrial AI copilot	54
Coaxiality prediction for aeroengines precision assembly based on geometric distribution error model and point cloud deep learning	54
Leveraging the usage of blockchain toward trust-dominated manufacturing systems	54
Cognitive Digital Twin frameworks in manufacturing—A critical survey, evaluation criteria, and future directions	54
Making knowledge graphs work for smart manufacturing: Research topics, applications and prospects	53
Human-centric collaborative assembly system for large-scale space deployable mechanism driven by Digital Twins and wearable AR devices	53
ProcessCarbonAgent: A large language models-empowered autonomous agent for decision-making in manufacturing carbon emission management	53
Editorial Board	52
ChatCNC: Conversational machine monitoring via large language model and real-time data retrieval augmented generation	52
Transfer learning assisted batch optimization of jobs arriving dynamically in manufacturing cloud	51
Editorial Board	51
Editorial Board	51
Incorporating scheduling autonomy of workers into flexible job shop scheduling: Learning and balancing decentralized task sequencing decisions with overall scheduling performance	51
Accelerable adaptive cepstrum and L2-Dual Net for acoustic emission-based quality monitoring in laser shock peening	50
Feature points classification of computerized numerical control finishing tool path based on graph neural network	50
Editorial Board	50
Joint production, maintenance, and quality control in manufacturing systems with imperfect inspection	50
Contrastive learning-based semantic segmentation for In-situ stratified defect detection in additive manufacturing	49
A digital twin-enabled system for real-time interactive monitoring and evaluation of aircraft tooling in the assembly process	49
Cloud-edge-end-based aircraft assembly production quality monitoring system framework and applications	49
Graduation-inspired synchronization for industry 4.0 planning, scheduling, and execution	49
Multi-level predictive maintenance of smart manufacturing systems driven by digital twin: A matheuristics approach	48
Multimanned disassembly line balancing optimization considering walking workers and task evaluation indicators	48
Towards a next-generation LLM empowered low-code programming industrial robotic system for human-centric smart manufacturing	48
A digital twin-driven industrial context-aware system: A case study of overhead crane operation	47
An augmented surprise-guided sequential learning framework for predicting the melt pool geometry	47
A Digital Twin system of reconfigurable tooling for monitoring and evaluating in aerospace assembly	46
A safety management approach for Industry 5.0′s human-centered manufacturing based on digital twin	46
An electromyography signals-based human-robot collaboration method for human skill learning and imitation	45
Deep reinforcement learning for dynamic flexible job shop scheduling problem considering variable processing times	45
Real-time in-process control methods of process parameters for additive manufacturing	45
Decentralized learning multi-agent system for online machine shop scheduling problem	44
Editorial Board	44
Erratum to “The HORSE framework: A reference architecture for cyber-physical systems in hybrid smart manufacturing” [J Manuf Sys 61 (2021) 461–494]	44
Prediction of melt pool width and layer height for Laser Directed Energy Deposition enabled by physics-driven temporal convolutional network	44
Superstructure-based optimization of robotic assembly lines	44
Digital-twin data driven multi-dimensional control for dualistic production-intralogistics synchronization in assembly systems under out-of-order execution framework	43
Collaborative production and predictive maintenance scheduling for flexible flow shop with stochastic interruptions and monitoring data	43
Point cloud self-supervised learning for machining feature recognition	43
Intention recognition-based human–machine interaction for mixed flow assembly	42
End-to-end multimodal knowledge graph construction for industrial exploded views via attention-guided expert chains	42
Learning digital emulators for closed architecture machine tool controllers	42
Online sequential decision making of multi-stage assembly process parameters based on deep reinforcement learning and its application in diesel engine production	41
A distributed physical architecture and data-based scheduling method for smart factory based on intelligent agents	41
Deep learning-based data registration of melt-pool-monitoring images for laser powder bed fusion additive manufacturing	41
KGESM: A knowledge graph embedding-based similarity matching model for intelligent assembly process generation	40
An improved large language model and knowledge graph integration method for automated machining process base construction	40

Editorial Board	40
Employing deep reinforcement learning for machining process planning: An improved framework	40
Modified DSAN for unsupervised cross-domain fault diagnosis of bearing under speed fluctuation	40
Profile extraction and defect detection for stereolithography curing process based on multi-regularized tensor decomposition	40
Machine identity authentication via unobservable fingerprinting signature: A functional data analysis approach for MQTT 5.0 protocol	40
Integrated operation planning and process adjustment for optimum cost with attention to manufacturing quality and waste	40
A human-centric framework for robotic task learning and optimization	40
AEKD: Unsupervised auto-encoder knowledge distillation for industrial anomaly detection	39
Zero Defect Manufacturing: A complete guide for advanced and sustainable quality management	39
Solving task scheduling problems in cloud manufacturing via attention mechanism and deep reinforcement learning	39
Neural agent-based production planning and control: An architectural review	39
Towards smart layout design for a reconfigurable manufacturing system	39
LogicLSTM: Logically-driven long short-term memory model for fault diagnosis in gearboxes	39
Functional healthy state evaluation approach for manufacturing systems considering imperfect inspection based on extended stochastic flow network	39
The progress and trend of digital twin research over the last 20 years: A bibliometrics-based visualization analysis	39
A novel MR remote collaboration system using 3D spatial area cue and visual notification	39
An LLM-based vision and language cobot navigation approach for Human-centric Smart Manufacturing	38
The advance of digital twin for predictive maintenance: The role and function of machine learning	38
Integrating life cycle engineering into design for additive manufacturing: A review	38
A milling tool wear monitoring method with sensing generalization capability	38
A cradle-to-cradle life cycle assessment framework linking machining parameters, tool life and part durability	38
Energy consumption prediction and optimization of industrial robots based on LSTM	38
A self-adaptive agent for flexible posture planning in robotic milling system	37
Graph neural networks-based scheduler for production planning problems using reinforcement learning	37
Manufacturing cybersecurity threat attributes and countermeasures: Review, meta-taxonomy, and use cases of cyberattack taxonomies	37
A Q-learning-based improved multi-objective genetic algorithm for solving distributed heterogeneous assembly flexible job shop scheduling problems with transfers	37
Editorial Board	37
A multi-hierarchical aggregation-based graph convolutional network for industrial knowledge graph embedding towards cognitive intelligent manufacturing	37
Efficient human–robot collaborative manipulation of planar deformable objects	37
Neuron synergy based explainable neural network for manufacturing cycle time forecasting	37
A novel data augmentation framework for remaining useful life estimation with dense convolutional regression network	37
Method for drill-bit arrangement in CNC woodworking drilling machine for mass customization	36
A novel Soft Actor–Critic framework with disjunctive graph embedding and autoencoder mechanism for Job Shop Scheduling Problems	36
Digital Twin Technology — A bibliometric study of top research articles based on Local Citation Score	36
Investigation of assistance systems in assembly in the context of digitalization: A systematic literature review	36
Energy-efficient and quality-aware part placement in robotic additive manufacturing	36
Editorial Board	36
Machine vision defect segmentation and geometric measurement for real time quality monitoring in friction stir welding	35
Welding parameters and sequences integrated decision-making considering carbon emission and processing time for multi-characteristic laser welding cell	35
Modelling and optimization of line efficiency for preventive maintenance of robot disassembly line	35
Deep unsupervised learning-based supplier selection and ranking for assembly manufacturing	35
LLM-driven discrete-event simulation: A generative AI framework for automated model generation, adaptation, and evaluation in manufacturing	35
An adaptive genetic algorithm based on Q-learning for energy-efficient e-waste disassembly line balancing and rebalancing considering task failures	35
Survey on robotic systems for internal logistics	35
A double-sided bundle auction mechanism for collaborative additive manufacturing	35
A surrogate model-driven assembly coordination framework for aircraft components based on cooperative multi-agent deep reinforcement learning	35
A fast ramp-up framework for wafer yield improvement in semiconductor manufacturing systems	34
Digital twin-based anomaly detection for real-time tool condition monitoring in machining	34
Current development on the Operator 4.0 and transition towards the Operator 5.0: A systematic literature review in light of Industry 5.0	34
Hybrid quantum particle swarm optimization and variable neighborhood search for flexible job-shop scheduling problem	34
Modeling and optimization of positioning setpoints in a roll-to-roll system for optical fiber manufacturing	34
Digital twin-based structural health monitoring by combining measurement and computational data: An aircraft wing example	34
A deep reinforcement learning approach with graph attention network and multi-signal differential reward for dynamic hybrid flow shop scheduling problem	34
A mutual cross-attention fusion network for surface roughness prediction in robotic machining process using internal and external signals	34
Concepts and trends of virtual commissioning – A comprehensive review	34
Deep learning-based fault diagnosis of planetary gearbox: A systematic review	34
Physics informed neural networks for fault severity identification of axial piston pumps	34
Multi-view fully connected graph to fuse multi-sensor signals for mechanical equipment remaining useful life prediction	34
Platform-based task assignment for social manufacturing (PBTA4SM): State-of-the-art review and future directions	33
Resilient manufacturing: A review of disruptions, assessment, and pathways	33
A survey of large language model-augmented knowledge graphs for advanced complex product design	33
An aircraft engine remaining useful life prediction method based on predictive vector angle minimization and feature fusion gate improved transformer model	33
AI-enhanced digital twins in maintenance: Systematic review, industrial challenges, and bridging research–practice gaps	33
Industry 5.0: Prospect and retrospect	33
Numerical modeling of inkjet cell output under the interplay of cell-laden bioink consumption and sedimentation	32
Active-passive hybrid feed rate control systems in CNC machining: Mitigating force fluctuations and enhancing tool life	32
A multi-dimensional cognitive framework for cognitive manufacturing based on OAR model	32
Handling features in assembly: Integrating manufacturing considerations early in design discussions	32
Cyber-physical internet enabled hierarchical attention network based reinforcement learning for order dispatch in fast fashion manufacturing	31
Nonlinear dynamics modeling and analysis of aviation drilling actuator feed system considering assembly error	31
Thermally controlled shape programming via image-based optimization towards distortion-reduced composite curing	31
Human-centric smart manufacturing	31
Few-shot fault identification of complex equipment via metric-based features capture GAN combining prior knowledge-augmented strategy	31
Hypergraph-based analysis and design of intelligent collaborative manufacturing space	31