Journal of Manufacturing Systems

Article	Citations
On the feasibility of an integrated English wheel system	1394
Optimizing burn-in and predictive maintenance for enhanced reliability in manufacturing systems: A two-unit series system approach	673
A methodology for data-driven adjustment of variation propagation models in multistage manufacturing processes	664
Joint optimization of feature sequences and toolpath strategies in multi-feature workpiece machining for minimizing energy consumption and processing time	493
A framework for designing a degradation-aware controller based on empirical estimation of the state–action cost and model predictive control	411
Reconfigurable flexible assembly model and implementation for cross-category products	354
A digital twin-based assembly model for multi-source variation fusion on vision transformer	337
Optimal process planning for hybrid additive–subtractive manufacturing using recursive volume decomposition with decision criteria	233
Application and trends of point cloud in intelligent welding: State of the art review	227
Role of additive manufacturing in medical application COVID-19 scenario: India case study	225
A support-design framework for Cooperative Robots systems in labor-intensive manufacturing processes	222
Machine learning based screw drive state detection for unfastening screw connections	187
Data-model linkage prediction of tool remaining useful life based on deep feature fusion and Wiener process	184
Using evolutionary artificial neural networks in monitoring binary and polytomous logistic profiles	183
Advancing human-robot collaboration: Predicting operator trajectories through AI and infrared imaging	172
Joint multi-objective dynamic scheduling of machine tools and vehicles in a workshop based on digital twin	162
Digital twin based photogrammetry field-of-view evaluation and 3D layout optimisation for reconfigurable manufacturing systems	156
Online quality inspection of resistance spot welding for automotive production lines	154
Deep reinforcement learning-based dynamic scheduling for resilient and sustainable manufacturing: A systematic review	153
A multimodal hierarchical learning approach for virtual metrology in semiconductor manufacturing	146
Efficient ship pipeline routing with dual-strategy enhanced ant colony optimization: Active behavior adjustment and passive environmental adaptability	143
A supply chain disruption recovery strategy considering product change under COVID-19	141
Collaborative optimization for multirobot manufacturing system reliability through integration of SysML simulation and maintenance knowledge graph	141
Immersive and interactive cyber-physical system (I2CPS) and virtual reality interface for human involved robotic manufacturing	137
Effective dispatching rules mining based on near-optimal schedules in intelligent job shop environment	136

Review of manufacturing system design in the interplay of Industry 4.0 and Industry 5.0 (Part II): Design processes and enablers	133
Enabling predictive maintenance integrated production scheduling by operation-specific health prognostics with generative deep learning	132
Surface roughness prediction through GAN-synthesized power signal as a process signature	131
An interpretable convolutional neural network with multi-wavelet kernel fusion for intelligent fault diagnosis	130
Integrated Quality, Maintenance and Production model for multivariate processes: A Bayesian Approach	129
State-of-the-art of selective laser melting process: A comprehensive review	126
Editorial Board	120
Modelling the startup of machine tools for energy efficient multi-sleep control policies	117
Production scheduling in Industry 4.0: Morphological analysis of the literature and future research agenda	114
Implicit residual approximation for multi-sensor data fusion in surface geometry measurement	110
Integrated decision of production scheduling and condition-based maintenance planning for multi-unit systems with variable replacement thresholds	109
A skeleton-based assembly action recognition method with feature fusion for human-robot collaborative assembly	106
An online inference method for condition identification of workpieces with complex residual stress distributions	105
A contextual sensor system for non-intrusive machine status and energy monitoring	104
A two-stage hybrid manufacturing model with controllable make-to-order production rates	102
Establishing a reliable mechanism model of the digital twin machining system: An adaptive evaluation network approach	101
Flexible robotic cell scheduling with graph neural network based deep reinforcement learning	100
Reinforcement and deep reinforcement learning-based solutions for machine maintenance planning, scheduling policies, and optimization	98
Detecting anomalies in time series data from a manufacturing system using recurrent neural networks	97
Real-time decision-making for Digital Twin in additive manufacturing with Model Predictive Control using time-series deep neural networks	96
Construction method of shop-floor digital twin based on MBSE	93
A general mathematic model framework for assembly process driven digital twin of assembly precision	93
A new description model for enabling more general manufacturing systems representation in digital twin	93
Interpretable real-time monitoring of pipeline weld crack leakage based on wavelet multi-kernel network	92
Rescheduling human-robot collaboration tasks under dynamic disassembly scenarios: An MLLM-KG collaboratively enabled approach	92
Automated broad transfer learning for cross-domain fault diagnosis	91
Tool wear identification and prediction method based on stack sparse self-coding network	91
An Ontology-based Engineering system to support aircraft manufacturing system design	90
Challenges and opportunities on AR/VR technologies for manufacturing systems in the context of industry 4.0: A state of the art review	89
Adoption of machine learning technology for failure prediction in industrial maintenance: A systematic review	89
Model-based tool condition prognosis using power consumption and scarce surface roughness measurements	87
Development of robotic bin picking platform with cluttered objects using human guidance and convolutional neural network (CNN)	86
A graph-based reinforcement learning-enabled approach for adaptive human-robot collaborative assembly operations	86
An efficient critical path based method for permutation flow shop scheduling problem	86
Rule-based explanations based on ensemble machine learning for detecting sink mark defects in the injection moulding process	84
A verification-oriented and part-focused assembly monitoring system based on multi-layered digital twin	83
Prognostic and health management through collaborative maintenance	80
An intelligent monitoring system for robotic milling process based on transfer learning and digital twin	80
A process strategy planning of additive-subtractive hybrid manufacturing based multi-dimensional manufacturability evaluation of geometry feature	79
Counterfactual-attention multi-agent reinforcement learning for joint condition-based maintenance and production scheduling	79
Secure sharing of big digital twin data for smart manufacturing based on blockchain	78
Enhancing metal additive manufacturing training with the advanced vision language model: A pathway to immersive augmented reality training for non-experts	77
Industrial big data-driven mechanical performance prediction for hot-rolling steel using lower upper bound estimation method	75
Heterogeneous hypergraph learning for analyzing surface defects in additive manufacturing process	75
Federated learning-based semantic segmentation for pixel-wise defect detection in additive manufacturing	74
Paired ensemble and group knowledge measurement for health evaluation of wind turbine gearbox under compound fault scenarios	74
Towards proactive human–robot collaboration: A foreseeable cognitive manufacturing paradigm	71
A novel integration framework for degradation-state prediction via transformer model with autonomous optimizing mechanism	71
Continuous-flow simulation of manufacturing systems with assembly/disassembly machines, multiple loops and general layout	70
Towards the industry 5.0 frontier: Review and prospect of XR in product assembly	69

‘Genetic exploration’ of metal forming processes through information absent and fragmental data processing	69
Opportunistic maintenance optimization of continuous process manufacturing systems considering imperfect maintenance with epistemic uncertainty	69
Vibration energy-based indicators for multi-target condition monitoring in milling operations	69
A systematic methodology for changeable and reconfigurable manufacturing systems development	68
Generative deep reinforcement learning method for dynamic parallel machines scheduling with adaptive maintenance activities	68
Systematic review of class imbalance problems in manufacturing	67
A federated learning approach to automated and secure supplier selection in cyber manufacturing as-a-service	67
Autonomous grinding algorithms with future prospect towards SMART manufacturing: A comparative survey	67
Challenges of randomness in tool wear with small samples: A physics-informed cross-domain monitoring method	66
Self-adaptive production performance monitoring framework under different operating regimes	66
Integrated scheduling for ring layout multi-station multi-robot welding system with dual function robots and jump stations operations	66
A generic digital twin model construction strategy for cross-field implementations with comprehensiveness, operability and scalability	66
A methodology for estimating the cost of a digital twin	64
Classification of mental workload in Human-robot collaboration using machine learning based on physiological feedback	63
Novel deep learning based soft sensor feature extraction for part weight prediction in injection molding processes	62
Digital twin-enabled automated anomaly detection and bottleneck identification in complex manufacturing systems using a multi-agent approach	61
A predictive maintenance model for optimizing production schedule using deep neural networks	61
Smart manufacturing powered by recent technological advancements: A review	60
LLM enabled generative collaborative design in a mixed reality environment	60
Topological Data Analysis in smart manufacturing: State of the art and future directions	60
Multiple platforms design and product family process planning for combined additive and subtractive manufacturing	59
Data-driven technological life prediction of mechanical and electrical products based on Multidimensional Deep Neural Network: Functional perspective	59
Advances and innovations in manufacturing systems research 2023	58
Editorial Board	58
Editorial Board	58
Advances and innovations in manufacturing systems research 2024	57
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]	57
Life cycle assessment of an automated multi-cellular case-picking system	57
Leveraging the usage of blockchain toward trust-dominated manufacturing systems	57
Digital control system of tension during the formation of flexible-oriented three-dimensional composite preforms	57
R-DMDQN: A rule embedding based dynamic multi-objective deep Q-network for mass-individualized production scheduling of printed circuit board	56
Smart and resilient manufacturing in the wake of COVID-19	56
Applying a fusion of wearable sensors and a cognitive inspired architecture to real-time ergonomics analysis of manual assembly tasks	55
Development of digital characteristics of machining based on physics-guided data	55
Modeling of reconfigurable manufacturing system architecture with geometric machines and in-stage gantries	54
ChatCNC: Conversational machine monitoring via large language model and real-time data retrieval augmented generation	54
Synchronization-oriented reconfiguration of FPAI under graduation intelligent manufacturing system in the COVID-19 pandemic and beyond	54
Utilizing uncertainty information in remaining useful life estimation via Bayesian neural networks and Hamiltonian Monte Carlo	54
The rise of 3D Printing entangled with smart computer aided design during COVID-19 era	54
Multi-objective optimization of the textile manufacturing process using deep-Q-network based multi-agent reinforcement learning	53
The HORSE framework: A reference architecture for cyber-physical systems in hybrid smart manufacturing	53
Mobile cobots for autonomous raw-material feeding of automatic packaging machines	53
Cloud-edge-end collaborative multi-process dynamic optimization for energy-efficient aluminum casting	53
Real-time defect identification of narrow overlap welds and application based on convolutional neural networks	52
Making knowledge graphs work for smart manufacturing: Research topics, applications and prospects	52
A new XR-based human‐robot collaboration assembly system based on industrial metaverse	52
Integrated system configuration and layout planning for flexible manufacturing systems	51
Self-organizing manufacturing network: A paradigm towards smart manufacturing in mass personalization	51
ProcessCarbonAgent: A large language models-empowered autonomous agent for decision-making in manufacturing carbon emission management	50
A novel adaptive deep transfer learning method towards thermal error modeling of electric spindles under variable conditions	49
Coaxiality prediction for aeroengines precision assembly based on geometric distribution error model and point cloud deep learning	49
Editorial Board	48
Editorial Board	48
A digital twin-driven industrial context-aware system: A case study of overhead crane operation	48
Human-centric collaborative assembly system for large-scale space deployable mechanism driven by Digital Twins and wearable AR devices	48
Multi-layer integration framework for low carbon design based on design features	47
Joint production, maintenance, and quality control in manufacturing systems with imperfect inspection	47
Modeling framework to support decision making and control of manufacturing systems considering the relationship between productivity, reliability, quality, and energy consumption	47
Cloud-edge-end-based aircraft assembly production quality monitoring system framework and applications	47
Accelerable adaptive cepstrum and L2-Dual Net for acoustic emission-based quality monitoring in laser shock peening	47
Position-oriented process monitoring in milling of thin-walled parts	46
A Digital Twin system of reconfigurable tooling for monitoring and evaluating in aerospace assembly	46
An electromyography signals-based human-robot collaboration method for human skill learning and imitation	46
Triplet metric driven multi-head GNN augmented with decoupling adversarial learning for intelligent fault diagnosis of machines under varying working condition	46
Multimanned disassembly line balancing optimization considering walking workers and task evaluation indicators	46
An augmented surprise-guided sequential learning framework for predicting the melt pool geometry	46
A safety management approach for Industry 5.0′s human-centered manufacturing based on digital twin	46
Multi-level predictive maintenance of smart manufacturing systems driven by digital twin: A matheuristics approach	45
Graduation-inspired synchronization for industry 4.0 planning, scheduling, and execution	44
Contrastive learning-based semantic segmentation for In-situ stratified defect detection in additive manufacturing	44
Editorial Board	43
Transfer learning assisted batch optimization of jobs arriving dynamically in manufacturing cloud	43
Real-time in-process control methods of process parameters for additive manufacturing	43
Deep reinforcement learning for dynamic flexible job shop scheduling problem considering variable processing times	43
A distributed physical architecture and data-based scheduling method for smart factory based on intelligent agents	42
Functional healthy state evaluation approach for manufacturing systems considering imperfect inspection based on extended stochastic flow network	42
Learning digital emulators for closed architecture machine tool controllers	42
Erratum to “The HORSE framework: A reference architecture for cyber-physical systems in hybrid smart manufacturing” [J Manuf Sys 61 (2021) 461–494]	42
Profile extraction and defect detection for stereolithography curing process based on multi-regularized tensor decomposition	41
Intelligent STEP-NC-compliant setup planning method	41

Employing deep reinforcement learning for machining process planning: An improved framework	41
Machine identity authentication via unobservable fingerprinting signature: A functional data analysis approach for MQTT 5.0 protocol	41
Decentralized learning multi-agent system for online machine shop scheduling problem	41
LogicLSTM: Logically-driven long short-term memory model for fault diagnosis in gearboxes	41
Structural on-line control policy for collision and deadlock resolution in multi-AGV systems	40
Integrated operation planning and process adjustment for optimum cost with attention to manufacturing quality and waste	40
Point cloud self-supervised learning for machining feature recognition	40
The progress and trend of digital twin research over the last 20 years: A bibliometrics-based visualization analysis	40
A novel data augmentation framework for remaining useful life estimation with dense convolutional regression network	39
A human-centric framework for robotic task learning and optimization	39
Intention recognition-based human–machine interaction for mixed flow assembly	39
Securing cyber-physical additive manufacturing systems by in-situ process authentication using streamline video analysis	39
Towards smart layout design for a reconfigurable manufacturing system	39
An LLM-based vision and language cobot navigation approach for Human-centric Smart Manufacturing	39
A novel MR remote collaboration system using 3D spatial area cue and visual notification	39
Solving task scheduling problems in cloud manufacturing via attention mechanism and deep reinforcement learning	39
Towards Self-X cognitive manufacturing network: An industrial knowledge graph-based multi-agent reinforcement learning approach	39
A milling tool wear monitoring method with sensing generalization capability	38
Zero Defect Manufacturing: A complete guide for advanced and sustainable quality management	38
Graph neural networks-based scheduler for production planning problems using reinforcement learning	37
The advance of digital twin for predictive maintenance: The role and function of machine learning	37
Comprehensive review on various additive manufacturing techniques and its implementation in electronic devices	37
Prediction of melt pool width and layer height for Laser Directed Energy Deposition enabled by physics-driven temporal convolutional network	36
Collaborative production and predictive maintenance scheduling for flexible flow shop with stochastic interruptions and monitoring data	36
Deep learning-based data registration of melt-pool-monitoring images for laser powder bed fusion additive manufacturing	36
Neural agent-based production planning and control: An architectural review	36
Energy consumption prediction and optimization of industrial robots based on LSTM	36
A multi-scale modeling method for digital twin shop-floor	35
Manufacturing cybersecurity threat attributes and countermeasures: Review, meta-taxonomy, and use cases of cyberattack taxonomies	35
Real-time integrated production-scheduling and maintenance-planning in a flexible job shop with machine deterioration and condition-based maintenance	35
Editorial Board	35
Modelling and optimization of line efficiency for preventive maintenance of robot disassembly line	35
A novel Soft Actor–Critic framework with disjunctive graph embedding and autoencoder mechanism for Job Shop Scheduling Problems	35
Modified DSAN for unsupervised cross-domain fault diagnosis of bearing under speed fluctuation	35
AEKD: Unsupervised auto-encoder knowledge distillation for industrial anomaly detection	35
Multichannel profile-based monitoring method and its application in the basic oxygen furnace steelmaking process	35
Investigation of assistance systems in assembly in the context of digitalization: A systematic literature review	35
Neuron synergy based explainable neural network for manufacturing cycle time forecasting	35
Digital twin and cloud-side-end collaboration for intelligent battery management system	35
Workforce planning and production scheduling in a reconfigurable manufacturing system facing the COVID-19 pandemic	35
Method for drill-bit arrangement in CNC woodworking drilling machine for mass customization	35
Physics informed neural networks for fault severity identification of axial piston pumps	35
Welding parameters and sequences integrated decision-making considering carbon emission and processing time for multi-characteristic laser welding cell	34
Concepts and trends of virtual commissioning – A comprehensive review	34
A fast ramp-up framework for wafer yield improvement in semiconductor manufacturing systems	34
A self-adaptive agent for flexible posture planning in robotic milling system	34
Digital twin-based structural health monitoring by combining measurement and computational data: An aircraft wing example	34
An aircraft engine remaining useful life prediction method based on predictive vector angle minimization and feature fusion gate improved transformer model	33
Energy-efficient and quality-aware part placement in robotic additive manufacturing	33
Current development on the Operator 4.0 and transition towards the Operator 5.0: A systematic literature review in light of Industry 5.0	33
Survey on robotic systems for internal logistics	33
Hybrid quantum particle swarm optimization and variable neighborhood search for flexible job-shop scheduling problem	33
An adaptive genetic algorithm based on Q-learning for energy-efficient e-waste disassembly line balancing and rebalancing considering task failures	32
Resilient manufacturing: A review of disruptions, assessment, and pathways	32
Multi-view fully connected graph to fuse multi-sensor signals for mechanical equipment remaining useful life prediction	32
A deep reinforcement learning approach with graph attention network and multi-signal differential reward for dynamic hybrid flow shop scheduling problem	32
Modeling and analyses of energy consumption for machining features with flexible machining configurations	32
Editorial Board	32
A survey of large language model-augmented knowledge graphs for advanced complex product design	32
A Q-learning-based improved multi-objective genetic algorithm for solving distributed heterogeneous assembly flexible job shop scheduling problems with transfers	32
Deep learning-based fault diagnosis of planetary gearbox: A systematic review	31
Augmented reality in smart manufacturing: Enabling collaboration between humans and artificial intelligence	31
Digital twin-based anomaly detection for real-time tool condition monitoring in machining	31
Platform-based task assignment for social manufacturing (PBTA4SM): State-of-the-art review and future directions	31
Assembly system design using interval-based customer demand	31
Digital Twin Technology — A bibliometric study of top research articles based on Local Citation Score	31
Industry 5.0: Prospect and retrospect	31
A multi-dimensional cognitive framework for cognitive manufacturing based on OAR model	31
Human-centric smart manufacturing	31
A multi-hierarchical aggregation-based graph convolutional network for industrial knowledge graph embedding towards cognitive intelligent 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	30
Digital placement system of a lateral tensioning rod during the formation of flexible-oriented three-dimensional composite preforms	30
Handling features in assembly: Integrating manufacturing considerations early in design discussions	30
Numerical modeling of inkjet cell output under the interplay of cell-laden bioink consumption and sedimentation	29
An Integrated Process Planning and Scheduling problem solved from an adaptive multi-objective perspective	29
A review of digital twin technology for electromechanical products: Evolution focus throughout key lifecycle phases	29
Few-shot fault identification of complex equipment via metric-based features capture GAN combining prior knowledge-augmented strategy	29
Active-passive hybrid feed rate control systems in CNC machining: Mitigating force fluctuations and enhancing tool life	29
Temporal convolutional network with soft thresholding and attention mechanism for machinery prognostics	28
Towards online reinforced learning of assembly sequence planning with interactive guidance systems for industry 4.0 adaptive manufacturing	28
Production control in manufacturing systems with perishable products under periodic demand	28
Cost and environmental impact assessment of stainless steel microscale chemical reactor components using conventional and additive manufacturing processes	28
Quality detection and classification for ultrasonic welding of carbon fiber composites using time-series data and neural network methods	28
Hypergraph-based analysis and design of intelligent collaborative manufacturing space	28
A Q-learning improved differential evolution algorithm for human-centric dynamic distributed flexible job shop scheduling problem	28
A literature survey of the robotic technologies during the COVID-19 pandemic	28
Community-driven PPE production using additive manufacturing during the COVID-19 pandemic: Survey and lessons learned	28
Model-based real-time prediction of surface roughness in fused deposition modeling with graph convolutional network-based error correction	28
Independent double DQN-based multi-agent reinforcement learning approach for online two-stage hybrid flow shop scheduling with batch machines	28