Journal of Manufacturing Systems

Article	Citations
A framework for designing a degradation-aware controller based on empirical estimation of the state–action cost and model predictive control	1155
On the feasibility of an integrated English wheel system	288
Spatial information bottleneck graph structure learning based multivariate time series prediction for industrial processes	246
Cluster system maintenance scheduling multi-objective optimization method integrating time uncertainty GlueVaR risk	237
Optimal process planning for hybrid additive–subtractive manufacturing using recursive volume decomposition with decision criteria	224
A multimodal hierarchical learning approach for virtual metrology in semiconductor manufacturing	221
Reconfigurable flexible assembly model and implementation for cross-category products	220
Efficient ship pipeline routing with dual-strategy enhanced ant colony optimization: Active behavior adjustment and passive environmental adaptability	216
Mapping technological advances in drilling for aircraft manufacturing: A hybrid bibliometric and expert-guided review	196
Surface roughness prediction through GAN-synthesized power signal as a process signature	190
A methodology for data-driven adjustment of variation propagation models in multistage manufacturing processes	189
Joint optimization of feature sequences and toolpath strategies in multi-feature workpiece machining for minimizing energy consumption and processing time	181
An interpretable convolutional neural network with multi-wavelet kernel fusion for intelligent fault diagnosis	181
Flexible Manufacturing Systems intralogistics: Dynamic optimization of AGVs and tool sharing using Colored-Timed Petri Nets and actor–critic RL with actions masking	172
Smart reconfigurable manufacturing towards Industry 5.0	169
Review of manufacturing system design in the interplay of Industry 4.0 and Industry 5.0 (Part II): Design processes and enablers	160
Deep reinforcement learning-based dynamic scheduling for resilient and sustainable manufacturing: A systematic review	156
Collaborative optimization for multirobot manufacturing system reliability through integration of SysML simulation and maintenance knowledge graph	156
Machine learning based screw drive state detection for unfastening screw connections	155
Digital twin based photogrammetry field-of-view evaluation and 3D layout optimisation for reconfigurable manufacturing systems	152
Application and trends of point cloud in intelligent welding: State of the art review	142
Advancing human-robot collaboration: Predicting operator trajectories through AI and infrared imaging	141
A digital twin-based assembly model for multi-source variation fusion on vision transformer	140
Optimizing burn-in and predictive maintenance for enhanced reliability in manufacturing systems: A two-unit series system approach	135
Data-model linkage prediction of tool remaining useful life based on deep feature fusion and Wiener process	131

Joint multi-objective dynamic scheduling of machine tools and vehicles in a workshop based on digital twin	131
Editorial Board	131
Implicit residual approximation for multi-sensor data fusion in surface geometry measurement	119
An interpretable industrial digital platform based on Dempster-Shafer theory for pre-diagnosis the quality of hot-rolled strip	117
An online inference method for condition identification of workpieces with complex residual stress distributions	116
A skeleton-based assembly action recognition method with feature fusion for human-robot collaborative assembly	115
Optimizing energy efficiency and productivity in industrial manufacturing: A simulation-based optimization approach with knowledge discovery	113
CMDF-LSTM-driven feature point identification of CNC G code leveraging geometric and kinematic information	112
Hybrid digital twins for smart manufacturing: Architectures, fusion paradigm, and implementation challenges	110
Production scheduling in Industry 4.0: Morphological analysis of the literature and future research agenda	110
Frequency-aware and bionic-aligned collaborative modeling for cross-domain tool wear monitoring under small-sample conditions	109
Challenges and opportunities on AR/VR technologies for manufacturing systems in the context of industry 4.0: A state of the art review	107
From cost to capability: Technology Multiplier in EV manufacturing strategy	106
Interpretable real-time monitoring of pipeline weld crack leakage based on wavelet multi-kernel network	106
A general mathematic model framework for assembly process driven digital twin of assembly precision	105
An approach based on hybrid-augmented intelligence for the combination and optimization of human-machine teams	104
A management framework for systematic data integration empowered for digital twin in collaborative manufacturing	103
An Ontology-based Engineering system to support aircraft manufacturing system design	101
Rescheduling human-robot collaboration tasks under dynamic disassembly scenarios: An MLLM-KG collaboratively enabled approach	100
Automated broad transfer learning for cross-domain fault diagnosis	97
Flexible robotic cell scheduling with graph neural network based deep reinforcement learning	94
Dual-stream adaptive graph convolutional network with enhanced skeleton representation for human-robot collaborative assembly intention recognition	91
A new description model for enabling more general manufacturing systems representation in digital twin	91
Using a digital twin and smart services to enable automatic generation of context-sensitive instructions	90
SFRGNN-DA: An enhanced graph neural network with domain adaptation for feature recognition in structural parts machining	90
Integrated decision of production scheduling and condition-based maintenance planning for multi-unit systems with variable replacement thresholds	89
Tool wear identification and prediction method based on stack sparse self-coding network	89
Reinforcement and deep reinforcement learning-based solutions for machine maintenance planning, scheduling policies, and optimization	88
Coarse-to-fine vision-based welding spot anomaly detection in production lines of body-in-white	88
Large language model-enabled cognitive agent for self-aware manufacturing	85
Real-time decision-making for Digital Twin in additive manufacturing with Model Predictive Control using time-series deep neural networks	85
Smart ultra-precision machining system integrated with online monitoring of machined surface profile accuracy and real-time error compensation	83
Cyber-physical internet-enabled out-of-order execution considering workload for multi-stage scheduling in hybrid flow shop	82
Robust multimodal latent repair for fault-tolerant cyber–physical production systems	82
Heterogeneous hypergraph learning for analyzing surface defects in additive manufacturing process	80
Enhancing metal additive manufacturing training with the advanced vision language model: A pathway to immersive augmented reality training for non-experts	79
Industrial big data-driven mechanical performance prediction for hot-rolling steel using lower upper bound estimation method	79
Opportunistic maintenance optimization of continuous process manufacturing systems considering imperfect maintenance with epistemic uncertainty	78
Continuous-flow simulation of manufacturing systems with assembly/disassembly machines, multiple loops and general layout	78
A process strategy planning of additive-subtractive hybrid manufacturing based multi-dimensional manufacturability evaluation of geometry feature	78
Towards industry 5.0: A framework of reconfigurable matrix-structured manufacturing system	78
A verification-oriented and part-focused assembly monitoring system based on multi-layered digital twin	78
Vibration energy-based indicators for multi-target condition monitoring in milling operations	77
Robotic inspection of fastener holes with hybrid visual and ultrasonic motion control	77
Balancing yield and makespan in wafer fabrication: A two-stage data-driven scheduling approach	77
Counterfactual-attention multi-agent reinforcement learning for joint condition-based maintenance and production scheduling	76
Towards the industry 5.0 frontier: Review and prospect of XR in product assembly	76
Paired ensemble and group knowledge measurement for health evaluation of wind turbine gearbox under compound fault scenarios	75
Human-in-the-loop in smart manufacturing (H-SM): A review and perspective	73
LLM-based domain-specific knowledge graph construction and hybrid retrieval-augmented generation	73

An intelligent monitoring system for robotic milling process based on transfer learning and digital twin	73
Integrated scheduling for ring layout multi-station multi-robot welding system with dual function robots and jump stations operations	72
A comprehensive survey for real-world industrial surface defect detection: Challenges, approaches, and prospects	72
Design of laser-assisted processing digital twin system	71
A methodology for estimating the cost of a digital twin	71
A systematic methodology for changeable and reconfigurable manufacturing systems development	70
A generic digital twin model construction strategy for cross-field implementations with comprehensiveness, operability and scalability	70
Skeleton-based action recognition for manufacturing assembly task through graph convolution network	70
A federated learning approach to automated and secure supplier selection in cyber manufacturing as-a-service	69
A novel temporal convolutional network-transformer framework with assembly data augmentation for accurate micro-milling energy prediction	68
‘Genetic exploration’ of metal forming processes through information absent and fragmental data processing	68
Generative deep reinforcement learning method for dynamic parallel machines scheduling with adaptive maintenance activities	67
Corrigendum to “Robotised disassembly of electric vehicle batteries: A systematic literature review” [JMSY, 74 (2024) pp 901–921)	67
Classification of mental workload in Human-robot collaboration using machine learning based on physiological feedback	66
Digital twin-enabled automated anomaly detection and bottleneck identification in complex manufacturing systems using a multi-agent approach	66
LLM enabled generative collaborative design in a mixed reality environment	65
Challenges of randomness in tool wear with small samples: A physics-informed cross-domain monitoring method	65
Systematic review of class imbalance problems in manufacturing	65
Q-learning-based multi-objective spotted hyena algorithm for flexible open shop scheduling problem with consideration of preventive maintenance and travel/setup times	65
Flexible pallet automation system scheduling with limited fixture-pallets and material-pallets: A case study from an engine manufacturing enterprise	64
Self-adaptive production performance monitoring framework under different operating regimes	64
Novel deep learning based soft sensor feature extraction for part weight prediction in injection molding processes	64
Advances and innovations in manufacturing systems research 2024	63
Process-level benchmarking of hybrid additive-subtractive manufacturing routes for aerospace structural components	63
Editorial Board	63
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]	62
Advances and innovations in manufacturing systems research 2023	62
Leveraging the usage of blockchain toward trust-dominated manufacturing systems	61
R-DMDQN: A rule embedding based dynamic multi-objective deep Q-network for mass-individualized production scheduling of printed circuit board	60
Editorial Board	60
Cloud-edge-end collaborative multi-process dynamic optimization for energy-efficient aluminum casting	59
Life cycle assessment of an automated multi-cellular case-picking system	59
AGV scheduling in shopfloor logistics of semiconductor assembly	59
Coaxiality prediction for aeroengines precision assembly based on geometric distribution error model and point cloud deep learning	59
Topological Data Analysis in smart manufacturing: State of the art and future directions	58
An extended graphical method with reinforcement learning for distributed job shop scheduling problems with transfers	58
Human-centric collaborative assembly system for large-scale space deployable mechanism driven by Digital Twins and wearable AR devices	58
Cross-region robotic grinding with adaptive toolpath planning and force control for point clouds of complex curved workpieces	58
Physics-informed data-driven framework for tool wear monitoring with limited samples: Mechanism-embedded learning	57
Integrated system configuration and layout planning for flexible manufacturing systems	57
Development of digital characteristics of machining based on physics-guided data	56
A novel adaptive deep transfer learning method towards thermal error modeling of electric spindles under variable conditions	56
Digital control system of tension during the formation of flexible-oriented three-dimensional composite preforms	56
Making the invisible visible: Non-intrusive scalable digitalisation using existing control signals in legacy medical device manufacturing equipment	56
A new XR-based human‐robot collaboration assembly system based on industrial metaverse	55
Knowledge-guided multimodal LLM with mixture-of-experts for interpretable defect detection and fault diagnosis: An industrial AI copilot	55
Making knowledge graphs work for smart manufacturing: Research topics, applications and prospects	55
ChatCNC: Conversational machine monitoring via large language model and real-time data retrieval augmented generation	54
Editorial Board	54
Cognitive Digital Twin frameworks in manufacturing—A critical survey, evaluation criteria, and future directions	54
Editorial Board	54
ProcessCarbonAgent: A large language models-empowered autonomous agent for decision-making in manufacturing carbon emission management	54
Accelerable adaptive cepstrum and L2-Dual Net for acoustic emission-based quality monitoring in laser shock peening	53
Transfer learning assisted batch optimization of jobs arriving dynamically in manufacturing cloud	52
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
A digital twin-enabled system for real-time interactive monitoring and evaluation of aircraft tooling in the assembly process	50
Multimanned disassembly line balancing optimization considering walking workers and task evaluation indicators	49
An augmented surprise-guided sequential learning framework for predicting the melt pool geometry	49
Cloud-edge-end-based aircraft assembly production quality monitoring system framework and applications	49
From computer CPU to factory CPU: A synchronization framework for customized production	49
Feature points classification of computerized numerical control finishing tool path based on graph neural network	49
Towards a next-generation LLM empowered low-code programming industrial robotic system for human-centric smart manufacturing	48
A Digital Twin system of reconfigurable tooling for monitoring and evaluating in aerospace assembly	48
A safety management approach for Industry 5.0′s human-centered manufacturing based on digital twin	47
Contrastive learning-based semantic segmentation for In-situ stratified defect detection in additive manufacturing	47
A digital twin-driven industrial context-aware system: A case study of overhead crane operation	47
Real-time in-process control methods of process parameters for additive manufacturing	47
Multi-level predictive maintenance of smart manufacturing systems driven by digital twin: A matheuristics approach	47
Deep reinforcement learning for dynamic flexible job shop scheduling problem considering variable processing times	47
Joint production, maintenance, and quality control in manufacturing systems with imperfect inspection	47
Editorial Board	46
Collaborative production and predictive maintenance scheduling for flexible flow shop with stochastic interruptions and monitoring data	46
End-to-end multimodal knowledge graph construction for industrial exploded views via attention-guided expert chains	46
Superstructure-based optimization of robotic assembly lines	46
Learning digital emulators for closed architecture machine tool controllers	46
Erratum to “The HORSE framework: A reference architecture for cyber-physical systems in hybrid smart manufacturing” [J Manuf Sys 61 (2021) 461–494]	46
Profile extraction and defect detection for stereolithography curing process based on multi-regularized tensor decomposition	46
Machine identity authentication via unobservable fingerprinting signature: A functional data analysis approach for MQTT 5.0 protocol	45

Editorial Board	45
Intention recognition-based human–machine interaction for mixed flow assembly	45
Integrated operation planning and process adjustment for optimum cost with attention to manufacturing quality and waste	45
The progress and trend of digital twin research over the last 20 years: A bibliometrics-based visualization analysis	44
Neural agent-based production planning and control: An architectural review	44
An LLM-based vision and language cobot navigation approach for Human-centric Smart Manufacturing	44
An improved large language model and knowledge graph integration method for automated machining process base construction	44
KGESM: A knowledge graph embedding-based similarity matching model for intelligent assembly process generation	44
A novel MR remote collaboration system using 3D spatial area cue and visual notification	44
A human-centric framework for robotic task learning and optimization	44
A new explainable artificial intelligence algorithm integrated with multi-agent system for joint decision-making of smart manufacturing systems	44
Online sequential decision making of multi-stage assembly process parameters based on deep reinforcement learning and its application in diesel engine production	44
A distributed physical architecture and data-based scheduling method for smart factory based on intelligent agents	43
Solving task scheduling problems in cloud manufacturing via attention mechanism and deep reinforcement learning	43
Human-like perception for embodied intelligent robots: A review	43
A milling tool wear monitoring method with sensing generalization capability	43
AEKD: Unsupervised auto-encoder knowledge distillation for industrial anomaly detection	43
Digital-twin data driven multi-dimensional control for dualistic production-intralogistics synchronization in assembly systems under out-of-order execution framework	43
A cradle-to-cradle life cycle assessment framework linking machining parameters, tool life and part durability	42
Integrating life cycle engineering into design for additive manufacturing: A review	42
Energy consumption prediction and optimization of industrial robots based on LSTM	42
Prediction of melt pool width and layer height for Laser Directed Energy Deposition enabled by physics-driven temporal convolutional network	42
Towards smart layout design for a reconfigurable manufacturing system	42
Employing deep reinforcement learning for machining process planning: An improved framework	42
Graph neural networks-based scheduler for production planning problems using reinforcement learning	42
The advance of digital twin for predictive maintenance: The role and function of machine learning	41
LogicLSTM: Logically-driven long short-term memory model for fault diagnosis in gearboxes	41
Deep learning-based data registration of melt-pool-monitoring images for laser powder bed fusion additive manufacturing	41
Modified DSAN for unsupervised cross-domain fault diagnosis of bearing under speed fluctuation	41
Decentralized learning multi-agent system for online machine shop scheduling problem	41
Point cloud self-supervised learning for machining feature recognition	41
A novel data augmentation framework for remaining useful life estimation with dense convolutional regression network	40
Zero Defect Manufacturing: A complete guide for advanced and sustainable quality management	40
Welding parameters and sequences integrated decision-making considering carbon emission and processing time for multi-characteristic laser welding cell	39
Modeling and optimization of positioning setpoints in a roll-to-roll system for optical fiber manufacturing	39
Deep unsupervised learning-based supplier selection and ranking for assembly manufacturing	39
Editorial Board	39
A surrogate model-driven assembly coordination framework for aircraft components based on cooperative multi-agent deep reinforcement learning	39
Method for drill-bit arrangement in CNC woodworking drilling machine for mass customization	39
Editorial Board	39
Investigation of assistance systems in assembly in the context of digitalization: A systematic literature review	39
Machine vision defect segmentation and geometric measurement for real time quality monitoring in friction stir welding	39
Physics informed neural networks for fault severity identification of axial piston pumps	38
A double-sided bundle auction mechanism for collaborative additive manufacturing	38
Efficient human–robot collaborative manipulation of planar deformable objects	38
A self-adaptive agent for flexible posture planning in robotic milling system	38
Digital twin-based structural health monitoring by combining measurement and computational data: An aircraft wing example	37
Energy-efficient and quality-aware part placement in robotic additive manufacturing	36
A mutual cross-attention fusion network for surface roughness prediction in robotic machining process using internal and external signals	36
A novel Soft Actor–Critic framework with disjunctive graph embedding and autoencoder mechanism for Job Shop Scheduling Problems	36
AI-enhanced digital twins in maintenance: Systematic review, industrial challenges, and bridging research–practice gaps	36
Survey on robotic systems for internal logistics	36
Deep learning-based fault diagnosis of planetary gearbox: A systematic review	36
A deep reinforcement learning approach with graph attention network and multi-signal differential reward for dynamic hybrid flow shop scheduling problem	36
Modelling and optimization of line efficiency for preventive maintenance of robot disassembly line	36
An adaptive genetic algorithm based on Q-learning for energy-efficient e-waste disassembly line balancing and rebalancing considering task failures	35
Concepts and trends of virtual commissioning – A comprehensive review	35
Digital twin-based anomaly detection for real-time tool condition monitoring in machining	35
A Q-learning-based improved multi-objective genetic algorithm for solving distributed heterogeneous assembly flexible job shop scheduling problems with transfers	35
An aircraft engine remaining useful life prediction method based on predictive vector angle minimization and feature fusion gate improved transformer model	35
Hybrid quantum particle swarm optimization and variable neighborhood search for flexible job-shop scheduling problem	35
LLM-driven discrete-event simulation: A generative AI framework for automated model generation, adaptation, and evaluation in manufacturing	34
A survey of large language model-augmented knowledge graphs for advanced complex product design	34
Resilient manufacturing: A review of disruptions, assessment, and pathways	34
A fast ramp-up framework for wafer yield improvement in semiconductor manufacturing systems	34
Neuron synergy based explainable neural network for manufacturing cycle time forecasting	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	33
Thermally controlled shape programming via image-based optimization towards distortion-reduced composite curing	33
A multi-dimensional cognitive framework for cognitive manufacturing based on OAR model	33
Multi-view fully connected graph to fuse multi-sensor signals for mechanical equipment remaining useful life prediction	33
A multi-hierarchical aggregation-based graph convolutional network for industrial knowledge graph embedding towards cognitive intelligent manufacturing	33
A knowledge-enhanced discrete artificial bee colony algorithm for flexible job shop scheduling problem with transport robots	33
Manufacturing cybersecurity threat attributes and countermeasures: Review, meta-taxonomy, and use cases of cyberattack taxonomies	33
Industry 5.0: Prospect and retrospect	33
Active-passive hybrid feed rate control systems in CNC machining: Mitigating force fluctuations and enhancing tool life	33
Hypergraph-based analysis and design of intelligent collaborative manufacturing space	33
Nonlinear dynamics modeling and analysis of aviation drilling actuator feed system considering assembly error	32
A dual-enhancement framework for constraint-aware job shop scheduling with large language models	32
Cyber-physical internet enabled hierarchical attention network based reinforcement learning for order dispatch in fast fashion manufacturing	32
A review of digital twin technology for electromechanical products: Evolution focus throughout key lifecycle phases	32
Physics-informed multi-task heterogeneous transfer learning network for robust milling tool wear and RUL prediction under anomalous data conditions	32
Few-shot fault identification of complex equipment via metric-based features capture GAN combining prior knowledge-augmented strategy	32
BiHAND: A Bimanual Human-like Robotic System with Adaptive Magnetic–Vibration End-Effectors for Non-Destructive Disassembly and Recycling of Retired EV Battery Packs	32
Environmental impact of powder production for additive manufacturing: Carbon footprint and cumulative energy demand of gas atomization	32
Handling features in assembly: Integrating manufacturing considerations early in design discussions	32
Numerical modeling of inkjet cell output under the interplay of cell-laden bioink consumption and sedimentation	32
Human-centric smart manufacturing	32
Unified adaptive open-set incremental learning for industrial human action recognition	32
A review of Generative Artificial Intelligence for additive manufacturing: Bridging design, process monitoring, and beyond	32
A Q-learning improved differential evolution algorithm for human-centric dynamic distributed flexible job shop scheduling problem	32
Tool wear prediction in milling process using physics-informed machine learning and thermo-mechanical force model with monitoring applications	31
A literature review on deep reinforcement learning for machine scheduling problems	31
Illustrating the benefits of efficient creation and adaption of behavior models in intelligent Digital Twins over the machine life cycle	31
Abnormal pattern recognition for online inspection in manufacturing process based on multi-scale time series classification	31
Automated guided vehicle dispatching and routing integration via digital twin with deep reinforcement learning	31