Journal of Manufacturing Systems

Papers
(The median citation count of Journal of Manufacturing Systems is 13. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-12-01 to 2025-12-01.)
ArticleCitations
Machine learning based screw drive state detection for unfastening screw connections899
Optimal process planning for hybrid additive–subtractive manufacturing using recursive volume decomposition with decision criteria887
A multimodal hierarchical learning approach for virtual metrology in semiconductor manufacturing499
Reconfigurable flexible assembly model and implementation for cross-category products458
Flexible Manufacturing Systems intralogistics: Dynamic optimization of AGVs and tool sharing using Colored-Timed Petri Nets and actor–critic RL with actions masking407
On the feasibility of an integrated English wheel system316
A methodology for data-driven adjustment of variation propagation models in multistage manufacturing processes277
Efficient ship pipeline routing with dual-strategy enhanced ant colony optimization: Active behavior adjustment and passive environmental adaptability270
Advancing human-robot collaboration: Predicting operator trajectories through AI and infrared imaging255
A digital twin-based assembly model for multi-source variation fusion on vision transformer233
Joint optimization of feature sequences and toolpath strategies in multi-feature workpiece machining for minimizing energy consumption and processing time225
Optimizing burn-in and predictive maintenance for enhanced reliability in manufacturing systems: A two-unit series system approach210
Cluster system maintenance scheduling multi-objective optimization method integrating time uncertainty GlueVaR risk206
Digital twin based photogrammetry field-of-view evaluation and 3D layout optimisation for reconfigurable manufacturing systems189
Effective dispatching rules mining based on near-optimal schedules in intelligent job shop environment185
Online quality inspection of resistance spot welding for automotive production lines181
Integrated Quality, Maintenance and Production model for multivariate processes: A Bayesian Approach181
Collaborative optimization for multirobot manufacturing system reliability through integration of SysML simulation and maintenance knowledge graph180
Application and trends of point cloud in intelligent welding: State of the art review179
Deep reinforcement learning-based dynamic scheduling for resilient and sustainable manufacturing: A systematic review176
Joint multi-objective dynamic scheduling of machine tools and vehicles in a workshop based on digital twin174
Surface roughness prediction through GAN-synthesized power signal as a process signature174
Immersive and interactive cyber-physical system (I2CPS) and virtual reality interface for human involved robotic manufacturing174
Review of manufacturing system design in the interplay of Industry 4.0 and Industry 5.0 (Part II): Design processes and enablers157
A framework for designing a degradation-aware controller based on empirical estimation of the state–action cost and model predictive control154
An interpretable convolutional neural network with multi-wavelet kernel fusion for intelligent fault diagnosis151
Data-model linkage prediction of tool remaining useful life based on deep feature fusion and Wiener process146
State-of-the-art of selective laser melting process: A comprehensive review130
Coarse-to-fine vision-based welding spot anomaly detection in production lines of body-in-white129
SFRGNN-DA: An enhanced graph neural network with domain adaptation for feature recognition in structural parts machining128
Implicit residual approximation for multi-sensor data fusion in surface geometry measurement127
A general mathematic model framework for assembly process driven digital twin of assembly precision123
Establishing a reliable mechanism model of the digital twin machining system: An adaptive evaluation network approach123
Optimizing energy efficiency and productivity in industrial manufacturing: A simulation-based optimization approach with knowledge discovery122
Editorial Board117
From cost to capability: Technology Multiplier in EV manufacturing strategy116
Large language model-enabled cognitive agent for self-aware manufacturing115
An approach based on hybrid-augmented intelligence for the combination and optimization of human-machine teams114
Integrated decision of production scheduling and condition-based maintenance planning for multi-unit systems with variable replacement thresholds112
A contextual sensor system for non-intrusive machine status and energy monitoring111
An Ontology-based Engineering system to support aircraft manufacturing system design108
Tool wear identification and prediction method based on stack sparse self-coding network107
Flexible robotic cell scheduling with graph neural network based deep reinforcement learning102
Real-time decision-making for Digital Twin in additive manufacturing with Model Predictive Control using time-series deep neural networks102
Interpretable real-time monitoring of pipeline weld crack leakage based on wavelet multi-kernel network100
Automated broad transfer learning for cross-domain fault diagnosis100
Using a digital twin and smart services to enable automatic generation of context-sensitive instructions99
Production scheduling in Industry 4.0: Morphological analysis of the literature and future research agenda99
An interpretable industrial digital platform based on Dempster-Shafer theory for pre-diagnosis the quality of hot-rolled strip98
Reinforcement and deep reinforcement learning-based solutions for machine maintenance planning, scheduling policies, and optimization95
Detecting anomalies in time series data from a manufacturing system using recurrent neural networks94
A new description model for enabling more general manufacturing systems representation in digital twin90
An online inference method for condition identification of workpieces with complex residual stress distributions89
A graph-based reinforcement learning-enabled approach for adaptive human-robot collaborative assembly operations88
A skeleton-based assembly action recognition method with feature fusion for human-robot collaborative assembly88
Challenges and opportunities on AR/VR technologies for manufacturing systems in the context of industry 4.0: A state of the art review87
Rescheduling human-robot collaboration tasks under dynamic disassembly scenarios: An MLLM-KG collaboratively enabled approach85
Balancing yield and makespan in wafer fabrication: A two-stage data-driven scheduling approach84
Continuous-flow simulation of manufacturing systems with assembly/disassembly machines, multiple loops and general layout83
A verification-oriented and part-focused assembly monitoring system based on multi-layered digital twin82
An intelligent monitoring system for robotic milling process based on transfer learning and digital twin82
Enhancing metal additive manufacturing training with the advanced vision language model: A pathway to immersive augmented reality training for non-experts82
A novel integration framework for degradation-state prediction via transformer model with autonomous optimizing mechanism81
Counterfactual-attention multi-agent reinforcement learning for joint condition-based maintenance and production scheduling80
Paired ensemble and group knowledge measurement for health evaluation of wind turbine gearbox under compound fault scenarios80
Towards the industry 5.0 frontier: Review and prospect of XR in product assembly79
An efficient critical path based method for permutation flow shop scheduling problem77
A process strategy planning of additive-subtractive hybrid manufacturing based multi-dimensional manufacturability evaluation of geometry feature77
Human-in-the-loop in smart manufacturing (H-SM): A review and perspective76
Towards industry 5.0: A framework of reconfigurable matrix-structured manufacturing system75
Development of robotic bin picking platform with cluttered objects using human guidance and convolutional neural network (CNN)75
Industrial big data-driven mechanical performance prediction for hot-rolling steel using lower upper bound estimation method75
Vibration energy-based indicators for multi-target condition monitoring in milling operations74
Robotic inspection of fastener holes with hybrid visual and ultrasonic motion control74
Opportunistic maintenance optimization of continuous process manufacturing systems considering imperfect maintenance with epistemic uncertainty73
Heterogeneous hypergraph learning for analyzing surface defects in additive manufacturing process73
Federated learning-based semantic segmentation for pixel-wise defect detection in additive manufacturing72
Classification of mental workload in Human-robot collaboration using machine learning based on physiological feedback71
Novel deep learning based soft sensor feature extraction for part weight prediction in injection molding processes71
A generic digital twin model construction strategy for cross-field implementations with comprehensiveness, operability and scalability70
Generative deep reinforcement learning method for dynamic parallel machines scheduling with adaptive maintenance activities70
A predictive maintenance model for optimizing production schedule using deep neural networks68
A systematic methodology for changeable and reconfigurable manufacturing systems development67
Smart manufacturing powered by recent technological advancements: A review67
Self-adaptive production performance monitoring framework under different operating regimes66
Skeleton-based action recognition for manufacturing assembly task through graph convolution network63
Challenges of randomness in tool wear with small samples: A physics-informed cross-domain monitoring method63
Q-learning-based multi-objective spotted hyena algorithm for flexible open shop scheduling problem with consideration of preventive maintenance and travel/setup times63
A methodology for estimating the cost of a digital twin62
Autonomous grinding algorithms with future prospect towards SMART manufacturing: A comparative survey62
A federated learning approach to automated and secure supplier selection in cyber manufacturing as-a-service61
Flexible pallet automation system scheduling with limited fixture-pallets and material-pallets: A case study from an engine manufacturing enterprise61
‘Genetic exploration’ of metal forming processes through information absent and fragmental data processing61
Integrated scheduling for ring layout multi-station multi-robot welding system with dual function robots and jump stations operations61
LLM enabled generative collaborative design in a mixed reality environment60
Digital twin-enabled automated anomaly detection and bottleneck identification in complex manufacturing systems using a multi-agent approach59
Advances and innovations in manufacturing systems research 202459
Systematic review of class imbalance problems in manufacturing59
R-DMDQN: A rule embedding based dynamic multi-objective deep Q-network for mass-individualized production scheduling of printed circuit board59
Human-centric collaborative assembly system for large-scale space deployable mechanism driven by Digital Twins and wearable AR devices58
Life cycle assessment of an automated multi-cellular case-picking system58
Editorial Board58
Cloud-edge-end collaborative multi-process dynamic optimization for energy-efficient aluminum casting58
Integrated system configuration and layout planning for flexible manufacturing systems57
Data-driven technological life prediction of mechanical and electrical products based on Multidimensional Deep Neural Network: Functional perspective57
Cognitive Digital Twin frameworks in manufacturing—A critical survey, evaluation criteria, and future directions57
Leveraging the usage of blockchain toward trust-dominated manufacturing systems55
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]55
Advances and innovations in manufacturing systems research 202355
Editorial Board54
Cross-region robotic grinding with adaptive toolpath planning and force control for point clouds of complex curved workpieces54
Real-time defect identification of narrow overlap welds and application based on convolutional neural networks54
Digital control system of tension during the formation of flexible-oriented three-dimensional composite preforms53
Modeling of reconfigurable manufacturing system architecture with geometric machines and in-stage gantries53
Multi-objective optimization of the textile manufacturing process using deep-Q-network based multi-agent reinforcement learning53
Mobile cobots for autonomous raw-material feeding of automatic packaging machines52
Coaxiality prediction for aeroengines precision assembly based on geometric distribution error model and point cloud deep learning52
ProcessCarbonAgent: A large language models-empowered autonomous agent for decision-making in manufacturing carbon emission management51
ChatCNC: Conversational machine monitoring via large language model and real-time data retrieval augmented generation51
Development of digital characteristics of machining based on physics-guided data51
Topological Data Analysis in smart manufacturing: State of the art and future directions51
A new XR-based human‐robot collaboration assembly system based on industrial metaverse50
A novel adaptive deep transfer learning method towards thermal error modeling of electric spindles under variable conditions50
Editorial Board49
An augmented surprise-guided sequential learning framework for predicting the melt pool geometry49
Feature points classification of computerized numerical control finishing tool path based on graph neural network49
Editorial Board49
Contrastive learning-based semantic segmentation for In-situ stratified defect detection in additive manufacturing49
Making knowledge graphs work for smart manufacturing: Research topics, applications and prospects49
Transfer learning assisted batch optimization of jobs arriving dynamically in manufacturing cloud49
Accelerable adaptive cepstrum and L2-Dual Net for acoustic emission-based quality monitoring in laser shock peening48
Triplet metric driven multi-head GNN augmented with decoupling adversarial learning for intelligent fault diagnosis of machines under varying working condition48
Editorial Board48
Modeling framework to support decision making and control of manufacturing systems considering the relationship between productivity, reliability, quality, and energy consumption47
Graduation-inspired synchronization for industry 4.0 planning, scheduling, and execution47
Joint production, maintenance, and quality control in manufacturing systems with imperfect inspection47
Multimanned disassembly line balancing optimization considering walking workers and task evaluation indicators47
Towards a next-generation LLM empowered low-code programming industrial robotic system for human-centric smart manufacturing46
A safety management approach for Industry 5.0′s human-centered manufacturing based on digital twin46
Multi-level predictive maintenance of smart manufacturing systems driven by digital twin: A matheuristics approach45
An electromyography signals-based human-robot collaboration method for human skill learning and imitation45
A digital twin-driven industrial context-aware system: A case study of overhead crane operation45
Deep reinforcement learning for dynamic flexible job shop scheduling problem considering variable processing times45
Cloud-edge-end-based aircraft assembly production quality monitoring system framework and applications45
Integrated operation planning and process adjustment for optimum cost with attention to manufacturing quality and waste44
A Digital Twin system of reconfigurable tooling for monitoring and evaluating in aerospace assembly44
Erratum to “The HORSE framework: A reference architecture for cyber-physical systems in hybrid smart manufacturing” [J Manuf Sys 61 (2021) 461–494]44
Editorial Board44
Profile extraction and defect detection for stereolithography curing process based on multi-regularized tensor decomposition44
Real-time in-process control methods of process parameters for additive manufacturing44
Decentralized learning multi-agent system for online machine shop scheduling problem43
Learning digital emulators for closed architecture machine tool controllers43
Modified DSAN for unsupervised cross-domain fault diagnosis of bearing under speed fluctuation43
Integrating life cycle engineering into design for additive manufacturing: A review43
A human-centric framework for robotic task learning and optimization42
The progress and trend of digital twin research over the last 20 years: A bibliometrics-based visualization analysis42
Online sequential decision making of multi-stage assembly process parameters based on deep reinforcement learning and its application in diesel engine production42
Employing deep reinforcement learning for machining process planning: An improved framework42
Intelligent STEP-NC-compliant setup planning method42
Solving task scheduling problems in cloud manufacturing via attention mechanism and deep reinforcement learning42
LogicLSTM: Logically-driven long short-term memory model for fault diagnosis in gearboxes42
Graph neural networks-based scheduler for production planning problems using reinforcement learning41
A novel data augmentation framework for remaining useful life estimation with dense convolutional regression network41
Energy consumption prediction and optimization of industrial robots based on LSTM41
Intention recognition-based human–machine interaction for mixed flow assembly41
A distributed physical architecture and data-based scheduling method for smart factory based on intelligent agents40
Functional healthy state evaluation approach for manufacturing systems considering imperfect inspection based on extended stochastic flow network40
KGESM: A knowledge graph embedding-based similarity matching model for intelligent assembly process generation40
Zero Defect Manufacturing: A complete guide for advanced and sustainable quality management40
Superstructure-based optimization of robotic assembly lines40
Collaborative production and predictive maintenance scheduling for flexible flow shop with stochastic interruptions and monitoring data40
Securing cyber-physical additive manufacturing systems by in-situ process authentication using streamline video analysis39
Digital-twin data driven multi-dimensional control for dualistic production-intralogistics synchronization in assembly systems under out-of-order execution framework39
Point cloud self-supervised learning for machining feature recognition39
Workforce planning and production scheduling in a reconfigurable manufacturing system facing the COVID-19 pandemic39
Neural agent-based production planning and control: An architectural review38
Deep learning-based data registration of melt-pool-monitoring images for laser powder bed fusion additive manufacturing38
Machine identity authentication via unobservable fingerprinting signature: A functional data analysis approach for MQTT 5.0 protocol38
Towards smart layout design for a reconfigurable manufacturing system38
An LLM-based vision and language cobot navigation approach for Human-centric Smart Manufacturing37
Comprehensive review on various additive manufacturing techniques and its implementation in electronic devices37
Editorial Board37
The advance of digital twin for predictive maintenance: The role and function of machine learning37
A milling tool wear monitoring method with sensing generalization capability37
Digital twin and cloud-side-end collaboration for intelligent battery management system37
A novel MR remote collaboration system using 3D spatial area cue and visual notification37
AEKD: Unsupervised auto-encoder knowledge distillation for industrial anomaly detection37
Prediction of melt pool width and layer height for Laser Directed Energy Deposition enabled by physics-driven temporal convolutional network37
A multi-hierarchical aggregation-based graph convolutional network for industrial knowledge graph embedding towards cognitive intelligent manufacturing36
Digital Twin Technology — A bibliometric study of top research articles based on Local Citation Score36
A surrogate model-driven assembly coordination framework for aircraft components based on cooperative multi-agent deep reinforcement learning36
Editorial Board36
An adaptive genetic algorithm based on Q-learning for energy-efficient e-waste disassembly line balancing and rebalancing considering task failures36
Modeling and optimization of positioning setpoints in a roll-to-roll system for optical fiber manufacturing36
Method for drill-bit arrangement in CNC woodworking drilling machine for mass customization36
Resilient manufacturing: A review of disruptions, assessment, and pathways36
Current development on the Operator 4.0 and transition towards the Operator 5.0: A systematic literature review in light of Industry 5.036
AI-enhanced digital twins in maintenance: Systematic review, industrial challenges, and bridging research–practice gaps35
A survey of large language model-augmented knowledge graphs for advanced complex product design35
A novel Soft Actor–Critic framework with disjunctive graph embedding and autoencoder mechanism for Job Shop Scheduling Problems35
Multi-view fully connected graph to fuse multi-sensor signals for mechanical equipment remaining useful life prediction35
Manufacturing cybersecurity threat attributes and countermeasures: Review, meta-taxonomy, and use cases of cyberattack taxonomies35
Modelling and optimization of line efficiency for preventive maintenance of robot disassembly line35
Welding parameters and sequences integrated decision-making considering carbon emission and processing time for multi-characteristic laser welding cell35
A deep reinforcement learning approach with graph attention network and multi-signal differential reward for dynamic hybrid flow shop scheduling problem35
Modeling and analyses of energy consumption for machining features with flexible machining configurations34
Physics informed neural networks for fault severity identification of axial piston pumps34
Efficient human–robot collaborative manipulation of planar deformable objects34
Energy-efficient and quality-aware part placement in robotic additive manufacturing34
Digital twin-based anomaly detection for real-time tool condition monitoring in machining33
Digital twin-based structural health monitoring by combining measurement and computational data: An aircraft wing example33
Concepts and trends of virtual commissioning – A comprehensive review33
Investigation of assistance systems in assembly in the context of digitalization: A systematic literature review33
A fast ramp-up framework for wafer yield improvement in semiconductor manufacturing systems33
Survey on robotic systems for internal logistics33
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 multi-scale modeling method for digital twin shop-floor32
A Q-learning-based improved multi-objective genetic algorithm for solving distributed heterogeneous assembly flexible job shop scheduling problems with transfers31
A self-adaptive agent for flexible posture planning in robotic milling system31
Neuron synergy based explainable neural network for manufacturing cycle time forecasting31
Meta-learning based industrial intelligence of feature nearest algorithm selection framework for classification problems31
A mutual cross-attention fusion network for surface roughness prediction in robotic machining process using internal and external signals31
Industry 5.0: Prospect and retrospect31
Thermally controlled shape programming via image-based optimization towards distortion-reduced composite curing31
An aircraft engine remaining useful life prediction method based on predictive vector angle minimization and feature fusion gate improved transformer model31
Nonlinear dynamics modeling and analysis of aviation drilling actuator feed system considering assembly error30
Cyber-physical internet enabled hierarchical attention network based reinforcement learning for order dispatch in fast fashion manufacturing30
Hypergraph-based analysis and design of intelligent collaborative manufacturing space30
Abnormal pattern recognition for online inspection in manufacturing process based on multi-scale time series classification30
Productivity prediction in aircraft final assembly lines: Comparisons and insights in different productivity ranges30
Human-centric smart manufacturing30
An Integrated Process Planning and Scheduling problem solved from an adaptive multi-objective perspective30
Platform-based task assignment for social manufacturing (PBTA4SM): State-of-the-art review and future directions30
A review of digital twin technology for electromechanical products: Evolution focus throughout key lifecycle phases30
Production control in manufacturing systems with perishable products under periodic demand29
Independent double DQN-based multi-agent reinforcement learning approach for online two-stage hybrid flow shop scheduling with batch machines29
Environmental impact of powder production for additive manufacturing: Carbon footprint and cumulative energy demand of gas atomization29
A multi-dimensional cognitive framework for cognitive manufacturing based on OAR model29
Automated guided vehicle dispatching and routing integration via digital twin with deep reinforcement learning29
Active-passive hybrid feed rate control systems in CNC machining: Mitigating force fluctuations and enhancing tool life29
A Q-learning improved differential evolution algorithm for human-centric dynamic distributed flexible job shop scheduling problem29
Numerical modeling of inkjet cell output under the interplay of cell-laden bioink consumption and sedimentation29
Model-based real-time prediction of surface roughness in fused deposition modeling with graph convolutional network-based error correction29
Tool wear prediction in milling process using physics-informed machine learning and thermo-mechanical force model with monitoring applications29
Machine learning-based dispatching for a wet clean station in semiconductor manufacturing28
Handling features in assembly: Integrating manufacturing considerations early in design discussions28
Real-time data-driven synchronous reconfiguration of human-centric smart assembly cell line under graduation intelligent manufacturing system28
Publisher's note28
Online visual monitoring method for liquid rocket engine nozzle welding based on a multi-task deep learning model28
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