Journal of Manufacturing Systems

Article	Citations
Deep reinforcement learning-based dynamic scheduling for resilient and sustainable manufacturing: A systematic review	1358
On the feasibility of an integrated English wheel system	648
Optimizing burn-in and predictive maintenance for enhanced reliability in manufacturing systems: A two-unit series system approach	626
A methodology for data-driven adjustment of variation propagation models in multistage manufacturing processes	477
Joint optimization of feature sequences and toolpath strategies in multi-feature workpiece machining for minimizing energy consumption and processing time	399
A framework for designing a degradation-aware controller based on empirical estimation of the state–action cost and model predictive control	340
Reconfigurable flexible assembly model and implementation for cross-category products	323
A digital twin-based assembly model for multi-source variation fusion on vision transformer	222
Using evolutionary artificial neural networks in monitoring binary and polytomous logistic profiles	221
Advancing human-robot collaboration: Predicting operator trajectories through AI and infrared imaging	217
Integrated Quality, Maintenance and Production model for multivariate processes: A Bayesian Approach	214
Optimal process planning for hybrid additive–subtractive manufacturing using recursive volume decomposition with decision criteria	183
Machine learning based screw drive state detection for unfastening screw connections	178
Immersive and interactive cyber-physical system (I2CPS) and virtual reality interface for human involved robotic manufacturing	173
Role of additive manufacturing in medical application COVID-19 scenario: India case study	167
Online quality inspection of resistance spot welding for automotive production lines	160
A support-design framework for Cooperative Robots systems in labor-intensive manufacturing processes	154
Review of manufacturing system design in the interplay of Industry 4.0 and Industry 5.0 (Part II): Design processes and enablers	152
Application and trends of point cloud in intelligent welding: State of the art review	148
Surface roughness prediction through GAN-synthesized power signal as a process signature	141
Enabling predictive maintenance integrated production scheduling by operation-specific health prognostics with generative deep learning	140
An interpretable convolutional neural network with multi-wavelet kernel fusion for intelligent fault diagnosis	135
Joint multi-objective dynamic scheduling of machine tools and vehicles in a workshop based on digital twin	135
A supply chain disruption recovery strategy considering product change under COVID-19	135
Effective dispatching rules mining based on near-optimal schedules in intelligent job shop environment	130

State-of-the-art of selective laser melting process: A comprehensive review	129
Data-model linkage prediction of tool remaining useful life based on deep feature fusion and Wiener process	129
Digital twin based photogrammetry field-of-view evaluation and 3D layout optimisation for reconfigurable manufacturing systems	128
Production scheduling in Industry 4.0: Morphological analysis of the literature and future research agenda	127
Editorial Board	123
A contextual sensor system for non-intrusive machine status and energy monitoring	119
A graph-based reinforcement learning-enabled approach for adaptive human-robot collaborative assembly operations	113
A new description model for enabling more general manufacturing systems representation in digital twin	111
A general mathematic model framework for assembly process driven digital twin of assembly precision	108
An Ontology-based Engineering system to support aircraft manufacturing system design	106
Establishing a reliable mechanism model of the digital twin machining system: An adaptive evaluation network approach	103
A two-stage hybrid manufacturing model with controllable make-to-order production rates	102
Integrated decision of production scheduling and condition-based maintenance planning for multi-unit systems with variable replacement thresholds	102
Flexible robotic cell scheduling with graph neural network based deep reinforcement learning	101
A skeleton-based assembly action recognition method with feature fusion for human-robot collaborative assembly	99
Automated broad transfer learning for cross-domain fault diagnosis	98
Adoption of machine learning technology for failure prediction in industrial maintenance: A systematic review	97
An online inference method for condition identification of workpieces with complex residual stress distributions	95
Interpretable real-time monitoring of pipeline weld crack leakage based on wavelet multi-kernel network	95
Model-based tool condition prognosis using power consumption and scarce surface roughness measurements	93
Construction method of shop-floor digital twin based on MBSE	92
Tool wear identification and prediction method based on stack sparse self-coding network	92
Challenges and opportunities on AR/VR technologies for manufacturing systems in the context of industry 4.0: A state of the art review	90
Implicit residual approximation for multi-sensor data fusion in surface geometry measurement	89
Reinforcement and deep reinforcement learning-based solutions for machine maintenance planning, scheduling policies, and optimization	89
Detecting anomalies in time series data from a manufacturing system using recurrent neural networks	89
Development of robotic bin picking platform with cluttered objects using human guidance and convolutional neural network (CNN)	88
Modelling the startup of machine tools for energy efficient multi-sleep control policies	88
An efficient critical path based method for permutation flow shop scheduling problem	87
Federated learning-based semantic segmentation for pixel-wise defect detection in additive manufacturing	87
Industrial big data-driven mechanical performance prediction for hot-rolling steel using lower upper bound estimation method	86
A verification-oriented and part-focused assembly monitoring system based on multi-layered digital twin	81
Continuous-flow simulation of manufacturing systems with assembly/disassembly machines, multiple loops and general layout	81
Enhancing metal additive manufacturing training with the advanced vision language model: A pathway to immersive augmented reality training for non-experts	78
Towards the industry 5.0 frontier: Review and prospect of XR in product assembly	78
A novel integration framework for degradation-state prediction via transformer model with autonomous optimizing mechanism	77
An intelligent monitoring system for robotic milling process based on transfer learning and digital twin	77
Prognostic and health management through collaborative maintenance	77
Heterogeneous hypergraph learning for analyzing surface defects in additive manufacturing process	76
Secure sharing of big digital twin data for smart manufacturing based on blockchain	73
Vibration energy-based indicators for multi-target condition monitoring in milling operations	73
Counterfactual-attention multi-agent reinforcement learning for joint condition-based maintenance and production scheduling	72
Towards proactive human–robot collaboration: A foreseeable cognitive manufacturing paradigm	72
Rule-based explanations based on ensemble machine learning for detecting sink mark defects in the injection moulding process	71
A process strategy planning of additive-subtractive hybrid manufacturing based multi-dimensional manufacturability evaluation of geometry feature	71
Paired ensemble and group knowledge measurement for health evaluation of wind turbine gearbox under compound fault scenarios	70
Opportunistic maintenance optimization of continuous process manufacturing systems considering imperfect maintenance with epistemic uncertainty	70
Systematic review of class imbalance problems in manufacturing	68
A federated learning approach to automated and secure supplier selection in cyber manufacturing as-a-service	68
‘Genetic exploration’ of metal forming processes through information absent and fragmental data processing	67

Digital twin-enabled automated anomaly detection and bottleneck identification in complex manufacturing systems using a multi-agent approach	66
Novel deep learning based soft sensor feature extraction for part weight prediction in injection molding processes	66
Classification of mental workload in Human-robot collaboration using machine learning based on physiological feedback	65
Autonomous grinding algorithms with future prospect towards SMART manufacturing: A comparative survey	65
A predictive maintenance model for optimizing production schedule using deep neural networks	65
LLM enabled generative collaborative design in a mixed reality environment	65
A systematic methodology for changeable and reconfigurable manufacturing systems development	65
Generative deep reinforcement learning method for dynamic parallel machines scheduling with adaptive maintenance activities	64
Smart manufacturing powered by recent technological advancements: A review	64
Synchronization-oriented reconfiguration of FPAI under graduation intelligent manufacturing system in the COVID-19 pandemic and beyond	63
The HORSE framework: A reference architecture for cyber-physical systems in hybrid smart manufacturing	62
Topological Data Analysis in smart manufacturing: State of the art and future directions	62
Multiple platforms design and product family process planning for combined additive and subtractive manufacturing	61
Data-driven technological life prediction of mechanical and electrical products based on Multidimensional Deep Neural Network: Functional perspective	61
Editorial Board	60
Advances and innovations in manufacturing systems research 2023	59
Editorial Board	59
Leveraging the usage of blockchain toward trust-dominated manufacturing systems	59
Advances and innovations in manufacturing systems research 2024	58
Cloud-edge-end collaborative multi-process dynamic optimization for energy-efficient aluminum casting	58
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]	58
Digital control system of tension during the formation of flexible-oriented three-dimensional composite preforms	58
Life cycle assessment of an automated multi-cellular case-picking system	57
R-DMDQN: A rule embedding based dynamic multi-objective deep Q-network for mass-individualized production scheduling of printed circuit board	56
Mobile cobots for autonomous raw-material feeding of automatic packaging machines	56
Smart and resilient manufacturing in the wake of COVID-19	56
Integrated system configuration and layout planning for flexible manufacturing systems	55
ProcessCarbonAgent: A large language models-empowered autonomous agent for decision-making in manufacturing carbon emission management	55
Development of digital characteristics of machining based on physics-guided data	54
ChatCNC: Conversational machine monitoring via large language model and real-time data retrieval augmented generation	54
Utilizing uncertainty information in remaining useful life estimation via Bayesian neural networks and Hamiltonian Monte Carlo	54
Multi-objective optimization of the textile manufacturing process using deep-Q-network based multi-agent reinforcement learning	54
Coaxiality prediction for aeroengines precision assembly based on geometric distribution error model and point cloud deep learning	54
Self-organizing manufacturing network: A paradigm towards smart manufacturing in mass personalization	53
A novel adaptive deep transfer learning method towards thermal error modeling of electric spindles under variable conditions	53
A new XR-based human‐robot collaboration assembly system based on industrial metaverse	53
Modeling of reconfigurable manufacturing system architecture with geometric machines and in-stage gantries	53
The rise of 3D Printing entangled with smart computer aided design during COVID-19 era	52
Applying a fusion of wearable sensors and a cognitive inspired architecture to real-time ergonomics analysis of manual assembly tasks	51
Human-centric collaborative assembly system for large-scale space deployable mechanism driven by Digital Twins and wearable AR devices	51
Making knowledge graphs work for smart manufacturing: Research topics, applications and prospects	51
Real-time defect identification of narrow overlap welds and application based on convolutional neural networks	51
Editorial Board	50
A digital twin-driven industrial context-aware system: A case study of overhead crane operation	49
Editorial Board	49
Multi-layer integration framework for low carbon design based on design features	49
Accelerable adaptive cepstrum and L2-Dual Net for acoustic emission-based quality monitoring in laser shock peening	48
Contrastive learning-based semantic segmentation for In-situ stratified defect detection in additive manufacturing	48
A Digital Twin system of reconfigurable tooling for monitoring and evaluating in aerospace assembly	48
Multimanned disassembly line balancing optimization considering walking workers and task evaluation indicators	47
Multi-level predictive maintenance of smart manufacturing systems driven by digital twin: A matheuristics approach	46
An electromyography signals-based human-robot collaboration method for human skill learning and imitation	46
Modeling framework to support decision making and control of manufacturing systems considering the relationship between productivity, reliability, quality, and energy consumption	46
Cloud-edge-end-based aircraft assembly production quality monitoring system framework and applications	46
A safety management approach for Industry 5.0′s human-centered manufacturing based on digital twin	45
Joint production, maintenance, and quality control in manufacturing systems with imperfect inspection	45
Graduation-inspired synchronization for industry 4.0 planning, scheduling, and execution	45
Triplet metric driven multi-head GNN augmented with decoupling adversarial learning for intelligent fault diagnosis of machines under varying working condition	45
Transfer learning assisted batch optimization of jobs arriving dynamically in manufacturing cloud	45
Real-time in-process control methods of process parameters for additive manufacturing	45
Deep reinforcement learning for dynamic flexible job shop scheduling problem considering variable processing times	44
An augmented surprise-guided sequential learning framework for predicting the melt pool geometry	44
Position-oriented process monitoring in milling of thin-walled parts	44
Integrated operation planning and process adjustment for optimum cost with attention to manufacturing quality and waste	43
Profile extraction and defect detection for stereolithography curing process based on multi-regularized tensor decomposition	43
Editorial Board	43
Functional healthy state evaluation approach for manufacturing systems considering imperfect inspection based on extended stochastic flow network	43
Erratum to “The HORSE framework: A reference architecture for cyber-physical systems in hybrid smart manufacturing” [J Manuf Sys 61 (2021) 461–494]	42
Structural on-line control policy for collision and deadlock resolution in multi-AGV systems	42
A distributed physical architecture and data-based scheduling method for smart factory based on intelligent agents	42
Point cloud self-supervised learning for machining feature recognition	42
Collaborative production and predictive maintenance scheduling for flexible flow shop with stochastic interruptions and monitoring data	42
Learning digital emulators for closed architecture machine tool controllers	42
Machine identity authentication via unobservable fingerprinting signature: A functional data analysis approach for MQTT 5.0 protocol	42
Neural agent-based production planning and control: An architectural review	41
A human-centric framework for robotic task learning and optimization	41
Solving task scheduling problems in cloud manufacturing via attention mechanism and deep reinforcement learning	41
Graph neural networks-based scheduler for production planning problems using reinforcement learning	40
Intelligent STEP-NC-compliant setup planning method	39
Prediction of melt pool width and layer height for Laser Directed Energy Deposition enabled by physics-driven temporal convolutional network	39

Employing deep reinforcement learning for machining process planning: An improved framework	39
A novel MR remote collaboration system using 3D spatial area cue and visual notification	39
Intention recognition-based human–machine interaction for mixed flow assembly	39
Towards smart layout design for a reconfigurable manufacturing system	39
Workforce planning and production scheduling in a reconfigurable manufacturing system facing the COVID-19 pandemic	38
Decentralized learning multi-agent system for online machine shop scheduling problem	38
Digital twin and cloud-side-end collaboration for intelligent battery management system	38
An LLM-based vision and language cobot navigation approach for Human-centric Smart Manufacturing	38
The advance of digital twin for predictive maintenance: The role and function of machine learning	38
Modified DSAN for unsupervised cross-domain fault diagnosis of bearing under speed fluctuation	37
AEKD: Unsupervised auto-encoder knowledge distillation for industrial anomaly detection	37
A milling tool wear monitoring method with sensing generalization capability	37
Zero Defect Manufacturing: A complete guide for advanced and sustainable quality management	37
Towards Self-X cognitive manufacturing network: An industrial knowledge graph-based multi-agent reinforcement learning approach	37
A novel data augmentation framework for remaining useful life estimation with dense convolutional regression network	37
Securing cyber-physical additive manufacturing systems by in-situ process authentication using streamline video analysis	36
Energy consumption prediction and optimization of industrial robots based on LSTM	36
Real-time integrated production-scheduling and maintenance-planning in a flexible job shop with machine deterioration and condition-based maintenance	36
Deep learning-based data registration of melt-pool-monitoring images for laser powder bed fusion additive manufacturing	36
A fast ramp-up framework for wafer yield improvement in semiconductor manufacturing systems	35
The progress and trend of digital twin research over the last 20 years: A bibliometrics-based visualization analysis	35
Comprehensive review on various additive manufacturing techniques and its implementation in electronic devices	35
Neuron synergy based explainable neural network for manufacturing cycle time forecasting	35
LogicLSTM: Logically-driven long short-term memory model for fault diagnosis in gearboxes	35
Multichannel profile-based monitoring method and its application in the basic oxygen furnace steelmaking process	35
Energy-efficient and quality-aware part placement in robotic additive manufacturing	34
Digital Twin Technology — A bibliometric study of top research articles based on Local Citation Score	34
Modelling and optimization of line efficiency for preventive maintenance of robot disassembly line	34
Concepts and trends of virtual commissioning – A comprehensive review	34
Method for drill-bit arrangement in CNC woodworking drilling machine for mass customization	34
Editorial Board	34
Physics informed neural networks for fault severity identification of axial piston pumps	34
Resilient manufacturing: A review of disruptions, assessment, and pathways	34
Investigation of assistance systems in assembly in the context of digitalization: A systematic literature review	34
A multi-hierarchical aggregation-based graph convolutional network for industrial knowledge graph embedding towards cognitive intelligent manufacturing	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
Deep learning-based fault diagnosis of planetary gearbox: A systematic review	33
Digital twin-based anomaly detection for real-time tool condition monitoring in machining	33
Survey on robotic systems for internal logistics	33
A multi-scale modeling method for digital twin shop-floor	33
Manufacturing cybersecurity threat attributes and countermeasures: Review, meta-taxonomy, and use cases of cyberattack taxonomies	33
A self-adaptive agent for flexible posture planning in robotic milling system	33
A novel Soft Actor–Critic framework with disjunctive graph embedding and autoencoder mechanism for Job Shop Scheduling Problems	33
Digital twin-based structural health monitoring by combining measurement and computational data: An aircraft wing example	32
Welding parameters and sequences integrated decision-making considering carbon emission and processing time for multi-characteristic laser welding cell	32
Industry 5.0: Prospect and retrospect	32
An aircraft engine remaining useful life prediction method based on predictive vector angle minimization and feature fusion gate improved transformer model	32
Hybrid quantum particle swarm optimization and variable neighborhood search for flexible job-shop scheduling problem	32
Modeling and analyses of energy consumption for machining features with flexible machining configurations	31
Community-driven PPE production using additive manufacturing during the COVID-19 pandemic: Survey and lessons learned	31
A Q-learning-based improved multi-objective genetic algorithm for solving distributed heterogeneous assembly flexible job shop scheduling problems with transfers	31
Nonlinear dynamics modeling and analysis of aviation drilling actuator feed system considering assembly error	31
Human-centric smart manufacturing	31
Platform-based task assignment for social manufacturing (PBTA4SM): State-of-the-art review and future directions	30
Handling features in assembly: Integrating manufacturing considerations early in design discussions	30
Active-passive hybrid feed rate control systems in CNC machining: Mitigating force fluctuations and enhancing tool life	30
A multi-dimensional cognitive framework for cognitive manufacturing based on OAR model	30
Assembly system design using interval-based customer demand	30
Digital placement system of a lateral tensioning rod during the formation of flexible-oriented three-dimensional composite preforms	30
Abnormal pattern recognition for online inspection in manufacturing process based on multi-scale time series classification	30
Augmented reality in smart manufacturing: Enabling collaboration between humans and artificial intelligence	30
Thermally controlled shape programming via image-based optimization towards distortion-reduced composite curing	30
An Integrated Process Planning and Scheduling problem solved from an adaptive multi-objective perspective	30
Hypergraph-based analysis and design of intelligent collaborative manufacturing space	29
Meta-learning based industrial intelligence of feature nearest algorithm selection framework for classification problems	29
Productivity prediction in aircraft final assembly lines: Comparisons and insights in different productivity ranges	29
Model-based real-time prediction of surface roughness in fused deposition modeling with graph convolutional network-based error correction	28
A literature survey of the robotic technologies during the COVID-19 pandemic	28
Cost and environmental impact assessment of stainless steel microscale chemical reactor components using conventional and additive manufacturing processes	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
Quality detection and classification for ultrasonic welding of carbon fiber composites using time-series data and neural network methods	28
Few-shot fault identification of complex equipment via metric-based features capture GAN combining prior knowledge-augmented strategy	28
Temporal convolutional network with soft thresholding and attention mechanism for machinery prognostics	28
Resilience dynamics modeling and control for a reconfigurable electronic assembly line under spatio-temporal disruptions	28
Numerical modeling of inkjet cell output under the interplay of cell-laden bioink consumption and sedimentation	28
Physics-informed meta learning for machining tool wear prediction	28
A review of digital twin technology for electromechanical products: Evolution focus throughout key lifecycle phases	28
Processing indoor positioning data by goal-oriented supervised fuzzy clustering for tool management	27
Illustrating the benefits of efficient creation and adaption of behavior models in intelligent Digital Twins over the machine life cycle	27
Independent double DQN-based multi-agent reinforcement learning approach for online two-stage hybrid flow shop scheduling with batch machines	27
Collaborative scheduling of spare parts production and service workers driven by distributed maintenance demand	27
Reconstruction-based visual anomaly detection in wound rotor synchronous machine production using convolutional autoencoders and structural similarity	27
Automated guided vehicle dispatching and routing integration via digital twin with deep reinforcement learning	27
Unsupervised domain-share CNN for machine fault transfer diagnosis from steady speeds to time-varying speeds	27
Publisher's note	27
Reverse logistics network design for product reuse, remanufacturing, recycling and refurbishing under uncertainty	27
Digital twin and blockchain enhanced smart manufacturing service collaboration and management	26
An ontology-based, general-purpose and Industry 4.0-ready architecture for supporting the smart operator (Part II – Virtual Reality case)	26
Innovative high degree of freedom single-multipoint incremental forming system for manufacturing curved thin-walled components	26
Metrics-based dynamic product sustainability performance evaluation for advancing the circular economy	26
Data-driven unsupervised anomaly detection of manufacturing processes with multi-scale prototype augmentation and multi-sensor data	26
An inspection policy for shredder equipment used in steel production lines considering buffer level and operating time	26
Fully convolutional network-based registration for augmented assembly systems	26
Feature structured domain adaptation for quality prediction of cross working conditions in industrial processes	26