Journal of Manufacturing Systems

Papers
(The median citation count of Journal of Manufacturing Systems is 12. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Flexible Manufacturing Systems intralogistics: Dynamic optimization of AGVs and tool sharing using Colored-Timed Petri Nets and actor–critic RL with actions masking1099
A framework for designing a degradation-aware controller based on empirical estimation of the state–action cost and model predictive control1085
On the feasibility of an integrated English wheel system556
Efficient ship pipeline routing with dual-strategy enhanced ant colony optimization: Active behavior adjustment and passive environmental adaptability273
Spatial information bottleneck graph structure learning based multivariate time series prediction for industrial processes237
Cluster system maintenance scheduling multi-objective optimization method integrating time uncertainty GlueVaR risk231
Collaborative optimization for multirobot manufacturing system reliability through integration of SysML simulation and maintenance knowledge graph220
Surface roughness prediction through GAN-synthesized power signal as a process signature218
A methodology for data-driven adjustment of variation propagation models in multistage manufacturing processes211
Optimal process planning for hybrid additive–subtractive manufacturing using recursive volume decomposition with decision criteria206
Application and trends of point cloud in intelligent welding: State of the art review190
Joint multi-objective dynamic scheduling of machine tools and vehicles in a workshop based on digital twin186
An interpretable convolutional neural network with multi-wavelet kernel fusion for intelligent fault diagnosis181
Advancing human-robot collaboration: Predicting operator trajectories through AI and infrared imaging181
A digital twin-based assembly model for multi-source variation fusion on vision transformer169
Review of manufacturing system design in the interplay of Industry 4.0 and Industry 5.0 (Part II): Design processes and enablers168
Machine learning based screw drive state detection for unfastening screw connections159
Optimizing burn-in and predictive maintenance for enhanced reliability in manufacturing systems: A two-unit series system approach159
Joint optimization of feature sequences and toolpath strategies in multi-feature workpiece machining for minimizing energy consumption and processing time151
Smart reconfigurable manufacturing towards Industry 5.0148
Reconfigurable flexible assembly model and implementation for cross-category products141
A multimodal hierarchical learning approach for virtual metrology in semiconductor manufacturing139
Data-model linkage prediction of tool remaining useful life based on deep feature fusion and Wiener process137
Deep reinforcement learning-based dynamic scheduling for resilient and sustainable manufacturing: A systematic review136
Digital twin based photogrammetry field-of-view evaluation and 3D layout optimisation for reconfigurable manufacturing systems133
From cost to capability: Technology Multiplier in EV manufacturing strategy132
SFRGNN-DA: An enhanced graph neural network with domain adaptation for feature recognition in structural parts machining125
An online inference method for condition identification of workpieces with complex residual stress distributions125
Hybrid digital twins for smart manufacturing: Architectures, fusion paradigm, and implementation challenges123
Interpretable real-time monitoring of pipeline weld crack leakage based on wavelet multi-kernel network122
Rescheduling human-robot collaboration tasks under dynamic disassembly scenarios: An MLLM-KG collaboratively enabled approach122
Frequency-aware and bionic-aligned collaborative modeling for cross-domain tool wear monitoring under small-sample conditions110
Editorial Board109
A skeleton-based assembly action recognition method with feature fusion for human-robot collaborative assembly109
Implicit residual approximation for multi-sensor data fusion in surface geometry measurement108
Large language model-enabled cognitive agent for self-aware manufacturing107
Coarse-to-fine vision-based welding spot anomaly detection in production lines of body-in-white105
Tool wear identification and prediction method based on stack sparse self-coding network102
A general mathematic model framework for assembly process driven digital twin of assembly precision102
Real-time decision-making for Digital Twin in additive manufacturing with Model Predictive Control using time-series deep neural networks102
Reinforcement and deep reinforcement learning-based solutions for machine maintenance planning, scheduling policies, and optimization102
A management framework for systematic data integration empowered for digital twin in collaborative manufacturing99
Integrated decision of production scheduling and condition-based maintenance planning for multi-unit systems with variable replacement thresholds99
CMDF-LSTM-driven feature point identification of CNC G code leveraging geometric and kinematic information99
An interpretable industrial digital platform based on Dempster-Shafer theory for pre-diagnosis the quality of hot-rolled strip99
Optimizing energy efficiency and productivity in industrial manufacturing: A simulation-based optimization approach with knowledge discovery98
Using a digital twin and smart services to enable automatic generation of context-sensitive instructions97
A new description model for enabling more general manufacturing systems representation in digital twin96
An approach based on hybrid-augmented intelligence for the combination and optimization of human-machine teams95
Production scheduling in Industry 4.0: Morphological analysis of the literature and future research agenda94
Automated broad transfer learning for cross-domain fault diagnosis94
Challenges and opportunities on AR/VR technologies for manufacturing systems in the context of industry 4.0: A state of the art review94
Flexible robotic cell scheduling with graph neural network based deep reinforcement learning94
An Ontology-based Engineering system to support aircraft manufacturing system design93
Paired ensemble and group knowledge measurement for health evaluation of wind turbine gearbox under compound fault scenarios88
Robotic inspection of fastener holes with hybrid visual and ultrasonic motion control87
Continuous-flow simulation of manufacturing systems with assembly/disassembly machines, multiple loops and general layout87
A verification-oriented and part-focused assembly monitoring system based on multi-layered digital twin86
Counterfactual-attention multi-agent reinforcement learning for joint condition-based maintenance and production scheduling85
Opportunistic maintenance optimization of continuous process manufacturing systems considering imperfect maintenance with epistemic uncertainty82
A process strategy planning of additive-subtractive hybrid manufacturing based multi-dimensional manufacturability evaluation of geometry feature82
Towards industry 5.0: A framework of reconfigurable matrix-structured manufacturing system79
Balancing yield and makespan in wafer fabrication: A two-stage data-driven scheduling approach79
An intelligent monitoring system for robotic milling process based on transfer learning and digital twin78
Human-in-the-loop in smart manufacturing (H-SM): A review and perspective77
Heterogeneous hypergraph learning for analyzing surface defects in additive manufacturing process77
Vibration energy-based indicators for multi-target condition monitoring in milling operations77
Robust multimodal latent repair for fault-tolerant cyber–physical production systems76
Smart ultra-precision machining system integrated with online monitoring of machined surface profile accuracy and real-time error compensation75
Cyber-physical internet-enabled out-of-order execution considering workload for multi-stage scheduling in hybrid flow shop75
LLM-based domain-specific knowledge graph construction and hybrid retrieval-augmented generation75
Towards the industry 5.0 frontier: Review and prospect of XR in product assembly74
A comprehensive survey for real-world industrial surface defect detection: Challenges, approaches, and prospects73
A novel integration framework for degradation-state prediction via transformer model with autonomous optimizing mechanism73
Industrial big data-driven mechanical performance prediction for hot-rolling steel using lower upper bound estimation method72
Enhancing metal additive manufacturing training with the advanced vision language model: A pathway to immersive augmented reality training for non-experts72
A methodology for estimating the cost of a digital twin70
Federated learning-based semantic segmentation for pixel-wise defect detection in additive manufacturing70
Integrated scheduling for ring layout multi-station multi-robot welding system with dual function robots and jump stations operations70
‘Genetic exploration’ of metal forming processes through information absent and fragmental data processing70
Generative deep reinforcement learning method for dynamic parallel machines scheduling with adaptive maintenance activities69
Self-adaptive production performance monitoring framework under different operating regimes69
Design of laser-assisted processing digital twin system69
A generic digital twin model construction strategy for cross-field implementations with comprehensiveness, operability and scalability68
Skeleton-based action recognition for manufacturing assembly task through graph convolution network68
Challenges of randomness in tool wear with small samples: A physics-informed cross-domain monitoring method67
Digital twin-enabled automated anomaly detection and bottleneck identification in complex manufacturing systems using a multi-agent approach66
Process-level benchmarking of hybrid additive-subtractive manufacturing routes for aerospace structural components65
A novel temporal convolutional network-transformer framework with assembly data augmentation for accurate micro-milling energy prediction63
Corrigendum to “Robotised disassembly of electric vehicle batteries: A systematic literature review” [JMSY, 74 (2024) pp 901–921)63
LLM enabled generative collaborative design in a mixed reality environment62
Q-learning-based multi-objective spotted hyena algorithm for flexible open shop scheduling problem with consideration of preventive maintenance and travel/setup times62
Smart manufacturing powered by recent technological advancements: A review62
Advances and innovations in manufacturing systems research 202462
Novel deep learning based soft sensor feature extraction for part weight prediction in injection molding processes62
Classification of mental workload in Human-robot collaboration using machine learning based on physiological feedback62
A systematic methodology for changeable and reconfigurable manufacturing systems development62
A federated learning approach to automated and secure supplier selection in cyber manufacturing as-a-service62
Flexible pallet automation system scheduling with limited fixture-pallets and material-pallets: A case study from an engine manufacturing enterprise62
Systematic review of class imbalance problems in manufacturing62
Editorial Board61
R-DMDQN: A rule embedding based dynamic multi-objective deep Q-network for mass-individualized production scheduling of printed circuit board60
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
Data-driven technological life prediction of mechanical and electrical products based on Multidimensional Deep Neural Network: Functional perspective59
Cross-region robotic grinding with adaptive toolpath planning and force control for point clouds of complex curved workpieces59
Mobile cobots for autonomous raw-material feeding of automatic packaging machines58
Development of digital characteristics of machining based on physics-guided data58
Advances and innovations in manufacturing systems research 202357
An extended graphical method with reinforcement learning for distributed job shop scheduling problems with transfers56
Cognitive Digital Twin frameworks in manufacturing—A critical survey, evaluation criteria, and future directions56
Leveraging the usage of blockchain toward trust-dominated manufacturing systems56
ProcessCarbonAgent: A large language models-empowered autonomous agent for decision-making in manufacturing carbon emission management55
A new XR-based human‐robot collaboration assembly system based on industrial metaverse55
Integrated system configuration and layout planning for flexible manufacturing systems55
Cloud-edge-end collaborative multi-process dynamic optimization for energy-efficient aluminum casting55
Life cycle assessment of an automated multi-cellular case-picking system55
Human-centric collaborative assembly system for large-scale space deployable mechanism driven by Digital Twins and wearable AR devices54
Digital control system of tension during the formation of flexible-oriented three-dimensional composite preforms54
Making the invisible visible: Non-intrusive scalable digitalisation using existing control signals in legacy medical device manufacturing equipment54
Physics-informed data-driven framework for tool wear monitoring with limited samples: Mechanism-embedded learning54
Topological Data Analysis in smart manufacturing: State of the art and future directions53
Making knowledge graphs work for smart manufacturing: Research topics, applications and prospects53
Knowledge-guided multimodal LLM with mixture-of-experts for interpretable defect detection and fault diagnosis: An industrial AI copilot52
ChatCNC: Conversational machine monitoring via large language model and real-time data retrieval augmented generation52
Coaxiality prediction for aeroengines precision assembly based on geometric distribution error model and point cloud deep learning52
A novel adaptive deep transfer learning method towards thermal error modeling of electric spindles under variable conditions52
Editorial Board51
Graduation-inspired synchronization for industry 4.0 planning, scheduling, and execution51
Incorporating scheduling autonomy of workers into flexible job shop scheduling: Learning and balancing decentralized task sequencing decisions with overall scheduling performance51
Accelerable adaptive cepstrum and L2-Dual Net for acoustic emission-based quality monitoring in laser shock peening51
Editorial Board51
Editorial Board51
Editorial Board51
Multimanned disassembly line balancing optimization considering walking workers and task evaluation indicators50
Transfer learning assisted batch optimization of jobs arriving dynamically in manufacturing cloud50
A digital twin-enabled system for real-time interactive monitoring and evaluation of aircraft tooling in the assembly process49
Contrastive learning-based semantic segmentation for In-situ stratified defect detection in additive manufacturing48
Feature points classification of computerized numerical control finishing tool path based on graph neural network48
A digital twin-driven industrial context-aware system: A case study of overhead crane operation48
Towards a next-generation LLM empowered low-code programming industrial robotic system for human-centric smart manufacturing47
Real-time in-process control methods of process parameters for additive manufacturing47
A Digital Twin system of reconfigurable tooling for monitoring and evaluating in aerospace assembly47
An electromyography signals-based human-robot collaboration method for human skill learning and imitation47
Deep reinforcement learning for dynamic flexible job shop scheduling problem considering variable processing times46
Joint production, maintenance, and quality control in manufacturing systems with imperfect inspection46
Multi-level predictive maintenance of smart manufacturing systems driven by digital twin: A matheuristics approach46
An augmented surprise-guided sequential learning framework for predicting the melt pool geometry45
From computer CPU to factory CPU: A synchronization framework for customized production45
A safety management approach for Industry 5.0′s human-centered manufacturing based on digital twin45
Cloud-edge-end-based aircraft assembly production quality monitoring system framework and applications44
Superstructure-based optimization of robotic assembly lines43
Collaborative production and predictive maintenance scheduling for flexible flow shop with stochastic interruptions and monitoring data43
Editorial Board43
Erratum to “The HORSE framework: A reference architecture for cyber-physical systems in hybrid smart manufacturing” [J Manuf Sys 61 (2021) 461–494]43
End-to-end multimodal knowledge graph construction for industrial exploded views via attention-guided expert chains42
Neural agent-based production planning and control: An architectural review42
Integrated operation planning and process adjustment for optimum cost with attention to manufacturing quality and waste42
Profile extraction and defect detection for stereolithography curing process based on multi-regularized tensor decomposition42
Learning digital emulators for closed architecture machine tool controllers42
Functional healthy state evaluation approach for manufacturing systems considering imperfect inspection based on extended stochastic flow network42
Digital-twin data driven multi-dimensional control for dualistic production-intralogistics synchronization in assembly systems under out-of-order execution framework42
An improved large language model and knowledge graph integration method for automated machining process base construction42
Editorial Board42
Intention recognition-based human–machine interaction for mixed flow assembly41
Towards smart layout design for a reconfigurable manufacturing system41
AEKD: Unsupervised auto-encoder knowledge distillation for industrial anomaly detection41
Integrating life cycle engineering into design for additive manufacturing: A review41
Employing deep reinforcement learning for machining process planning: An improved framework41
Machine identity authentication via unobservable fingerprinting signature: A functional data analysis approach for MQTT 5.0 protocol41
A cradle-to-cradle life cycle assessment framework linking machining parameters, tool life and part durability40
Decentralized learning multi-agent system for online machine shop scheduling problem40
A human-centric framework for robotic task learning and optimization40
Solving task scheduling problems in cloud manufacturing via attention mechanism and deep reinforcement learning40
A novel MR remote collaboration system using 3D spatial area cue and visual notification40
A distributed physical architecture and data-based scheduling method for smart factory based on intelligent agents40
The progress and trend of digital twin research over the last 20 years: A bibliometrics-based visualization analysis40
LogicLSTM: Logically-driven long short-term memory model for fault diagnosis in gearboxes39
Modified DSAN for unsupervised cross-domain fault diagnosis of bearing under speed fluctuation39
Deep learning-based data registration of melt-pool-monitoring images for laser powder bed fusion additive manufacturing39
KGESM: A knowledge graph embedding-based similarity matching model for intelligent assembly process generation39
Online sequential decision making of multi-stage assembly process parameters based on deep reinforcement learning and its application in diesel engine production39
Human-like perception for embodied intelligent robots: A review39
Graph neural networks-based scheduler for production planning problems using reinforcement learning38
Prediction of melt pool width and layer height for Laser Directed Energy Deposition enabled by physics-driven temporal convolutional network38
Point cloud self-supervised learning for machining feature recognition38
A milling tool wear monitoring method with sensing generalization capability38
Energy consumption prediction and optimization of industrial robots based on LSTM38
An LLM-based vision and language cobot navigation approach for Human-centric Smart Manufacturing38
A multi-hierarchical aggregation-based graph convolutional network for industrial knowledge graph embedding towards cognitive intelligent manufacturing37
The advance of digital twin for predictive maintenance: The role and function of machine learning37
Manufacturing cybersecurity threat attributes and countermeasures: Review, meta-taxonomy, and use cases of cyberattack taxonomies37
A novel data augmentation framework for remaining useful life estimation with dense convolutional regression network37
Editorial Board37
Efficient human–robot collaborative manipulation of planar deformable objects37
Zero Defect Manufacturing: A complete guide for advanced and sustainable quality management37
A novel Soft Actor–Critic framework with disjunctive graph embedding and autoencoder mechanism for Job Shop Scheduling Problems36
Machine vision defect segmentation and geometric measurement for real time quality monitoring in friction stir welding36
A surrogate model-driven assembly coordination framework for aircraft components based on cooperative multi-agent deep reinforcement learning36
A double-sided bundle auction mechanism for collaborative additive manufacturing36
Editorial Board36
Deep unsupervised learning-based supplier selection and ranking for assembly manufacturing36
Modeling and optimization of positioning setpoints in a roll-to-roll system for optical fiber manufacturing36
A self-adaptive agent for flexible posture planning in robotic milling system36
Method for drill-bit arrangement in CNC woodworking drilling machine for mass customization36
An adaptive genetic algorithm based on Q-learning for energy-efficient e-waste disassembly line balancing and rebalancing considering task failures36
A deep reinforcement learning approach with graph attention network and multi-signal differential reward for dynamic hybrid flow shop scheduling problem36
A Q-learning-based improved multi-objective genetic algorithm for solving distributed heterogeneous assembly flexible job shop scheduling problems with transfers35
Energy-efficient and quality-aware part placement in robotic additive manufacturing35
Survey on robotic systems for internal logistics35
Welding parameters and sequences integrated decision-making considering carbon emission and processing time for multi-characteristic laser welding cell35
A mutual cross-attention fusion network for surface roughness prediction in robotic machining process using internal and external signals35
Physics informed neural networks for fault severity identification of axial piston pumps35
Resilient manufacturing: A review of disruptions, assessment, and pathways35
A fast ramp-up framework for wafer yield improvement in semiconductor manufacturing systems35
Digital Twin Technology — A bibliometric study of top research articles based on Local Citation Score35
Multi-view fully connected graph to fuse multi-sensor signals for mechanical equipment remaining useful life prediction34
An aircraft engine remaining useful life prediction method based on predictive vector angle minimization and feature fusion gate improved transformer model34
A survey of large language model-augmented knowledge graphs for advanced complex product design34
Digital twin-based structural health monitoring by combining measurement and computational data: An aircraft wing example34
LLM-driven discrete-event simulation: A generative AI framework for automated model generation, adaptation, and evaluation in manufacturing34
Current development on the Operator 4.0 and transition towards the Operator 5.0: A systematic literature review in light of Industry 5.034
Modelling and optimization of line efficiency for preventive maintenance of robot disassembly line34
Concepts and trends of virtual commissioning – A comprehensive review33
AI-enhanced digital twins in maintenance: Systematic review, industrial challenges, and bridging research–practice gaps33
Digital twin-based anomaly detection for real-time tool condition monitoring in machining33
Platform-based task assignment for social manufacturing (PBTA4SM): State-of-the-art review and future directions32
Nonlinear dynamics modeling and analysis of aviation drilling actuator feed system considering assembly error32
Industry 5.0: Prospect and retrospect32
A multi-dimensional cognitive framework for cognitive manufacturing based on OAR model32
Hybrid quantum particle swarm optimization and variable neighborhood search for flexible job-shop scheduling problem32
Deep learning-based fault diagnosis of planetary gearbox: A systematic review32
A literature review on deep reinforcement learning for machine scheduling problems32
Human-centric smart manufacturing32
Investigation of assistance systems in assembly in the context of digitalization: A systematic literature review32
Neuron synergy based explainable neural network for manufacturing cycle time forecasting32
An Integrated Process Planning and Scheduling problem solved from an adaptive multi-objective perspective31
A Q-learning improved differential evolution algorithm for human-centric dynamic distributed flexible job shop scheduling problem31
Handling features in assembly: Integrating manufacturing considerations early in design discussions31
Few-shot fault identification of complex equipment via metric-based features capture GAN combining prior knowledge-augmented strategy31
Tool wear prediction in milling process using physics-informed machine learning and thermo-mechanical force model with monitoring applications31
Thermally controlled shape programming via image-based optimization towards distortion-reduced composite curing31
Numerical modeling of inkjet cell output under the interplay of cell-laden bioink consumption and sedimentation31
Cyber-physical internet enabled hierarchical attention network based reinforcement learning for order dispatch in fast fashion manufacturing30
Active-passive hybrid feed rate control systems in CNC machining: Mitigating force fluctuations and enhancing tool life30
BiHAND: A Bimanual Human-like Robotic System with Adaptive Magnetic–Vibration End-Effectors for Non-Destructive Disassembly and Recycling of Retired EV Battery Packs30
Model-based real-time prediction of surface roughness in fused deposition modeling with graph convolutional network-based error correction30
Physics-informed multi-task heterogeneous transfer learning network for robust milling tool wear and RUL prediction under anomalous data conditions30
Abnormal pattern recognition for online inspection in manufacturing process based on multi-scale time series classification30
Environmental impact of powder production for additive manufacturing: Carbon footprint and cumulative energy demand of gas atomization30
A dual-enhancement framework for constraint-aware job shop scheduling with large language models30
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