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 2021-05-01 to 2025-05-01.)
ArticleCitations
Deep reinforcement learning-based dynamic scheduling for resilient and sustainable manufacturing: A systematic review1358
On the feasibility of an integrated English wheel system648
Optimizing burn-in and predictive maintenance for enhanced reliability in manufacturing systems: A two-unit series system approach626
A methodology for data-driven adjustment of variation propagation models in multistage manufacturing processes477
Joint optimization of feature sequences and toolpath strategies in multi-feature workpiece machining for minimizing energy consumption and processing time399
A framework for designing a degradation-aware controller based on empirical estimation of the state–action cost and model predictive control340
Reconfigurable flexible assembly model and implementation for cross-category products323
A digital twin-based assembly model for multi-source variation fusion on vision transformer222
Using evolutionary artificial neural networks in monitoring binary and polytomous logistic profiles221
Advancing human-robot collaboration: Predicting operator trajectories through AI and infrared imaging217
Integrated Quality, Maintenance and Production model for multivariate processes: A Bayesian Approach214
Optimal process planning for hybrid additive–subtractive manufacturing using recursive volume decomposition with decision criteria183
Machine learning based screw drive state detection for unfastening screw connections178
Immersive and interactive cyber-physical system (I2CPS) and virtual reality interface for human involved robotic manufacturing173
Role of additive manufacturing in medical application COVID-19 scenario: India case study167
Online quality inspection of resistance spot welding for automotive production lines160
A support-design framework for Cooperative Robots systems in labor-intensive manufacturing processes154
Review of manufacturing system design in the interplay of Industry 4.0 and Industry 5.0 (Part II): Design processes and enablers152
Application and trends of point cloud in intelligent welding: State of the art review148
Surface roughness prediction through GAN-synthesized power signal as a process signature141
Enabling predictive maintenance integrated production scheduling by operation-specific health prognostics with generative deep learning140
An interpretable convolutional neural network with multi-wavelet kernel fusion for intelligent fault diagnosis135
Joint multi-objective dynamic scheduling of machine tools and vehicles in a workshop based on digital twin135
A supply chain disruption recovery strategy considering product change under COVID-19135
Effective dispatching rules mining based on near-optimal schedules in intelligent job shop environment130
State-of-the-art of selective laser melting process: A comprehensive review129
Data-model linkage prediction of tool remaining useful life based on deep feature fusion and Wiener process129
Digital twin based photogrammetry field-of-view evaluation and 3D layout optimisation for reconfigurable manufacturing systems128
Production scheduling in Industry 4.0: Morphological analysis of the literature and future research agenda127
Editorial Board123
A contextual sensor system for non-intrusive machine status and energy monitoring119
A graph-based reinforcement learning-enabled approach for adaptive human-robot collaborative assembly operations113
A new description model for enabling more general manufacturing systems representation in digital twin111
A general mathematic model framework for assembly process driven digital twin of assembly precision108
An Ontology-based Engineering system to support aircraft manufacturing system design106
Establishing a reliable mechanism model of the digital twin machining system: An adaptive evaluation network approach103
A two-stage hybrid manufacturing model with controllable make-to-order production rates102
Integrated decision of production scheduling and condition-based maintenance planning for multi-unit systems with variable replacement thresholds102
Flexible robotic cell scheduling with graph neural network based deep reinforcement learning101
A skeleton-based assembly action recognition method with feature fusion for human-robot collaborative assembly99
Automated broad transfer learning for cross-domain fault diagnosis98
Adoption of machine learning technology for failure prediction in industrial maintenance: A systematic review97
An online inference method for condition identification of workpieces with complex residual stress distributions95
Interpretable real-time monitoring of pipeline weld crack leakage based on wavelet multi-kernel network95
Model-based tool condition prognosis using power consumption and scarce surface roughness measurements93
Construction method of shop-floor digital twin based on MBSE92
Tool wear identification and prediction method based on stack sparse self-coding network92
Challenges and opportunities on AR/VR technologies for manufacturing systems in the context of industry 4.0: A state of the art review90
Implicit residual approximation for multi-sensor data fusion in surface geometry measurement89
Reinforcement and deep reinforcement learning-based solutions for machine maintenance planning, scheduling policies, and optimization89
Detecting anomalies in time series data from a manufacturing system using recurrent neural networks89
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 policies88
An efficient critical path based method for permutation flow shop scheduling problem87
Federated learning-based semantic segmentation for pixel-wise defect detection in additive manufacturing87
Industrial big data-driven mechanical performance prediction for hot-rolling steel using lower upper bound estimation method86
A verification-oriented and part-focused assembly monitoring system based on multi-layered digital twin81
Continuous-flow simulation of manufacturing systems with assembly/disassembly machines, multiple loops and general layout81
Enhancing metal additive manufacturing training with the advanced vision language model: A pathway to immersive augmented reality training for non-experts78
Towards the industry 5.0 frontier: Review and prospect of XR in product assembly78
A novel integration framework for degradation-state prediction via transformer model with autonomous optimizing mechanism77
An intelligent monitoring system for robotic milling process based on transfer learning and digital twin77
Prognostic and health management through collaborative maintenance77
Heterogeneous hypergraph learning for analyzing surface defects in additive manufacturing process76
Secure sharing of big digital twin data for smart manufacturing based on blockchain73
Vibration energy-based indicators for multi-target condition monitoring in milling operations73
Counterfactual-attention multi-agent reinforcement learning for joint condition-based maintenance and production scheduling72
Towards proactive human–robot collaboration: A foreseeable cognitive manufacturing paradigm72
Rule-based explanations based on ensemble machine learning for detecting sink mark defects in the injection moulding process71
A process strategy planning of additive-subtractive hybrid manufacturing based multi-dimensional manufacturability evaluation of geometry feature71
Paired ensemble and group knowledge measurement for health evaluation of wind turbine gearbox under compound fault scenarios70
Opportunistic maintenance optimization of continuous process manufacturing systems considering imperfect maintenance with epistemic uncertainty70
Systematic review of class imbalance problems in manufacturing68
A federated learning approach to automated and secure supplier selection in cyber manufacturing as-a-service68
‘Genetic exploration’ of metal forming processes through information absent and fragmental data processing67
Digital twin-enabled automated anomaly detection and bottleneck identification in complex manufacturing systems using a multi-agent approach66
Novel deep learning based soft sensor feature extraction for part weight prediction in injection molding processes66
Classification of mental workload in Human-robot collaboration using machine learning based on physiological feedback65
Autonomous grinding algorithms with future prospect towards SMART manufacturing: A comparative survey65
A predictive maintenance model for optimizing production schedule using deep neural networks65
LLM enabled generative collaborative design in a mixed reality environment65
A systematic methodology for changeable and reconfigurable manufacturing systems development65
Generative deep reinforcement learning method for dynamic parallel machines scheduling with adaptive maintenance activities64
Smart manufacturing powered by recent technological advancements: A review64
Synchronization-oriented reconfiguration of FPAI under graduation intelligent manufacturing system in the COVID-19 pandemic and beyond63
The HORSE framework: A reference architecture for cyber-physical systems in hybrid smart manufacturing62
Topological Data Analysis in smart manufacturing: State of the art and future directions62
Multiple platforms design and product family process planning for combined additive and subtractive manufacturing61
Data-driven technological life prediction of mechanical and electrical products based on Multidimensional Deep Neural Network: Functional perspective61
Editorial Board60
Advances and innovations in manufacturing systems research 202359
Editorial Board59
Leveraging the usage of blockchain toward trust-dominated manufacturing systems59
Advances and innovations in manufacturing systems research 202458
Cloud-edge-end collaborative multi-process dynamic optimization for energy-efficient aluminum casting58
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 preforms58
Life cycle assessment of an automated multi-cellular case-picking system57
R-DMDQN: A rule embedding based dynamic multi-objective deep Q-network for mass-individualized production scheduling of printed circuit board56
Mobile cobots for autonomous raw-material feeding of automatic packaging machines56
Smart and resilient manufacturing in the wake of COVID-1956
Integrated system configuration and layout planning for flexible manufacturing systems55
ProcessCarbonAgent: A large language models-empowered autonomous agent for decision-making in manufacturing carbon emission management55
Development of digital characteristics of machining based on physics-guided data54
ChatCNC: Conversational machine monitoring via large language model and real-time data retrieval augmented generation54
Utilizing uncertainty information in remaining useful life estimation via Bayesian neural networks and Hamiltonian Monte Carlo54
Multi-objective optimization of the textile manufacturing process using deep-Q-network based multi-agent reinforcement learning54
Coaxiality prediction for aeroengines precision assembly based on geometric distribution error model and point cloud deep learning54
Self-organizing manufacturing network: A paradigm towards smart manufacturing in mass personalization53
A novel adaptive deep transfer learning method towards thermal error modeling of electric spindles under variable conditions53
A new XR-based human‐robot collaboration assembly system based on industrial metaverse53
Modeling of reconfigurable manufacturing system architecture with geometric machines and in-stage gantries53
The rise of 3D Printing entangled with smart computer aided design during COVID-19 era52
Applying a fusion of wearable sensors and a cognitive inspired architecture to real-time ergonomics analysis of manual assembly tasks51
Human-centric collaborative assembly system for large-scale space deployable mechanism driven by Digital Twins and wearable AR devices51
Making knowledge graphs work for smart manufacturing: Research topics, applications and prospects51
Real-time defect identification of narrow overlap welds and application based on convolutional neural networks51
Editorial Board50
A digital twin-driven industrial context-aware system: A case study of overhead crane operation49
Editorial Board49
Multi-layer integration framework for low carbon design based on design features49
Accelerable adaptive cepstrum and L2-Dual Net for acoustic emission-based quality monitoring in laser shock peening48
Contrastive learning-based semantic segmentation for In-situ stratified defect detection in additive manufacturing48
A Digital Twin system of reconfigurable tooling for monitoring and evaluating in aerospace assembly48
Multimanned disassembly line balancing optimization considering walking workers and task evaluation indicators47
Multi-level predictive maintenance of smart manufacturing systems driven by digital twin: A matheuristics approach46
An electromyography signals-based human-robot collaboration method for human skill learning and imitation46
Modeling framework to support decision making and control of manufacturing systems considering the relationship between productivity, reliability, quality, and energy consumption46
Cloud-edge-end-based aircraft assembly production quality monitoring system framework and applications46
A safety management approach for Industry 5.0′s human-centered manufacturing based on digital twin45
Joint production, maintenance, and quality control in manufacturing systems with imperfect inspection45
Graduation-inspired synchronization for industry 4.0 planning, scheduling, and execution45
Triplet metric driven multi-head GNN augmented with decoupling adversarial learning for intelligent fault diagnosis of machines under varying working condition45
Transfer learning assisted batch optimization of jobs arriving dynamically in manufacturing cloud45
Real-time in-process control methods of process parameters for additive manufacturing45
Deep reinforcement learning for dynamic flexible job shop scheduling problem considering variable processing times44
An augmented surprise-guided sequential learning framework for predicting the melt pool geometry44
Position-oriented process monitoring in milling of thin-walled parts44
Integrated operation planning and process adjustment for optimum cost with attention to manufacturing quality and waste43
Profile extraction and defect detection for stereolithography curing process based on multi-regularized tensor decomposition43
Editorial Board43
Functional healthy state evaluation approach for manufacturing systems considering imperfect inspection based on extended stochastic flow network43
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 systems42
A distributed physical architecture and data-based scheduling method for smart factory based on intelligent agents42
Point cloud self-supervised learning for machining feature recognition42
Collaborative production and predictive maintenance scheduling for flexible flow shop with stochastic interruptions and monitoring data42
Learning digital emulators for closed architecture machine tool controllers42
Machine identity authentication via unobservable fingerprinting signature: A functional data analysis approach for MQTT 5.0 protocol42
Neural agent-based production planning and control: An architectural review41
A human-centric framework for robotic task learning and optimization41
Solving task scheduling problems in cloud manufacturing via attention mechanism and deep reinforcement learning41
Graph neural networks-based scheduler for production planning problems using reinforcement learning40
Intelligent STEP-NC-compliant setup planning method39
Prediction of melt pool width and layer height for Laser Directed Energy Deposition enabled by physics-driven temporal convolutional network39
Employing deep reinforcement learning for machining process planning: An improved framework39
A novel MR remote collaboration system using 3D spatial area cue and visual notification39
Intention recognition-based human–machine interaction for mixed flow assembly39
Towards smart layout design for a reconfigurable manufacturing system39
Workforce planning and production scheduling in a reconfigurable manufacturing system facing the COVID-19 pandemic38
Decentralized learning multi-agent system for online machine shop scheduling problem38
Digital twin and cloud-side-end collaboration for intelligent battery management system38
An LLM-based vision and language cobot navigation approach for Human-centric Smart Manufacturing38
The advance of digital twin for predictive maintenance: The role and function of machine learning38
Modified DSAN for unsupervised cross-domain fault diagnosis of bearing under speed fluctuation37
AEKD: Unsupervised auto-encoder knowledge distillation for industrial anomaly detection37
A milling tool wear monitoring method with sensing generalization capability37
Zero Defect Manufacturing: A complete guide for advanced and sustainable quality management37
Towards Self-X cognitive manufacturing network: An industrial knowledge graph-based multi-agent reinforcement learning approach37
A novel data augmentation framework for remaining useful life estimation with dense convolutional regression network37
Securing cyber-physical additive manufacturing systems by in-situ process authentication using streamline video analysis36
Energy consumption prediction and optimization of industrial robots based on LSTM36
Real-time integrated production-scheduling and maintenance-planning in a flexible job shop with machine deterioration and condition-based maintenance36
Deep learning-based data registration of melt-pool-monitoring images for laser powder bed fusion additive manufacturing36
A fast ramp-up framework for wafer yield improvement in semiconductor manufacturing systems35
The progress and trend of digital twin research over the last 20 years: A bibliometrics-based visualization analysis35
Comprehensive review on various additive manufacturing techniques and its implementation in electronic devices35
Neuron synergy based explainable neural network for manufacturing cycle time forecasting35
LogicLSTM: Logically-driven long short-term memory model for fault diagnosis in gearboxes35
Multichannel profile-based monitoring method and its application in the basic oxygen furnace steelmaking process35
Energy-efficient and quality-aware part placement in robotic additive manufacturing34
Digital Twin Technology — A bibliometric study of top research articles based on Local Citation Score34
Modelling and optimization of line efficiency for preventive maintenance of robot disassembly line34
Concepts and trends of virtual commissioning – A comprehensive review34
Method for drill-bit arrangement in CNC woodworking drilling machine for mass customization34
Editorial Board34
Physics informed neural networks for fault severity identification of axial piston pumps34
Resilient manufacturing: A review of disruptions, assessment, and pathways34
Investigation of assistance systems in assembly in the context of digitalization: A systematic literature review34
A multi-hierarchical aggregation-based graph convolutional network for industrial knowledge graph embedding towards cognitive intelligent manufacturing34
Current development on the Operator 4.0 and transition towards the Operator 5.0: A systematic literature review in light of Industry 5.033
Deep learning-based fault diagnosis of planetary gearbox: A systematic review33
Digital twin-based anomaly detection for real-time tool condition monitoring in machining33
Survey on robotic systems for internal logistics33
A multi-scale modeling method for digital twin shop-floor33
Manufacturing cybersecurity threat attributes and countermeasures: Review, meta-taxonomy, and use cases of cyberattack taxonomies33
A self-adaptive agent for flexible posture planning in robotic milling system33
A novel Soft Actor–Critic framework with disjunctive graph embedding and autoencoder mechanism for Job Shop Scheduling Problems33
Digital twin-based structural health monitoring by combining measurement and computational data: An aircraft wing example32
Welding parameters and sequences integrated decision-making considering carbon emission and processing time for multi-characteristic laser welding cell32
Industry 5.0: Prospect and retrospect32
An aircraft engine remaining useful life prediction method based on predictive vector angle minimization and feature fusion gate improved transformer model32
Hybrid quantum particle swarm optimization and variable neighborhood search for flexible job-shop scheduling problem32
Modeling and analyses of energy consumption for machining features with flexible machining configurations31
Community-driven PPE production using additive manufacturing during the COVID-19 pandemic: Survey and lessons learned31
A Q-learning-based improved multi-objective genetic algorithm for solving distributed heterogeneous assembly flexible job shop scheduling problems with transfers31
Nonlinear dynamics modeling and analysis of aviation drilling actuator feed system considering assembly error31
Human-centric smart manufacturing31
Platform-based task assignment for social manufacturing (PBTA4SM): State-of-the-art review and future directions30
Handling features in assembly: Integrating manufacturing considerations early in design discussions30
Active-passive hybrid feed rate control systems in CNC machining: Mitigating force fluctuations and enhancing tool life30
A multi-dimensional cognitive framework for cognitive manufacturing based on OAR model30
Assembly system design using interval-based customer demand30
Digital placement system of a lateral tensioning rod during the formation of flexible-oriented three-dimensional composite preforms30
Abnormal pattern recognition for online inspection in manufacturing process based on multi-scale time series classification30
Augmented reality in smart manufacturing: Enabling collaboration between humans and artificial intelligence30
Thermally controlled shape programming via image-based optimization towards distortion-reduced composite curing30
An Integrated Process Planning and Scheduling problem solved from an adaptive multi-objective perspective30
Hypergraph-based analysis and design of intelligent collaborative manufacturing space29
Meta-learning based industrial intelligence of feature nearest algorithm selection framework for classification problems29
Productivity prediction in aircraft final assembly lines: Comparisons and insights in different productivity ranges29
Model-based real-time prediction of surface roughness in fused deposition modeling with graph convolutional network-based error correction28
A literature survey of the robotic technologies during the COVID-19 pandemic28
Cost and environmental impact assessment of stainless steel microscale chemical reactor components using conventional and additive manufacturing processes28
Towards online reinforced learning of assembly sequence planning with interactive guidance systems for industry 4.0 adaptive manufacturing28
Production control in manufacturing systems with perishable products under periodic demand28
Quality detection and classification for ultrasonic welding of carbon fiber composites using time-series data and neural network methods28
Few-shot fault identification of complex equipment via metric-based features capture GAN combining prior knowledge-augmented strategy28
Temporal convolutional network with soft thresholding and attention mechanism for machinery prognostics28
Resilience dynamics modeling and control for a reconfigurable electronic assembly line under spatio-temporal disruptions28
Numerical modeling of inkjet cell output under the interplay of cell-laden bioink consumption and sedimentation28
Physics-informed meta learning for machining tool wear prediction28
A review of digital twin technology for electromechanical products: Evolution focus throughout key lifecycle phases28
Processing indoor positioning data by goal-oriented supervised fuzzy clustering for tool management27
Illustrating the benefits of efficient creation and adaption of behavior models in intelligent Digital Twins over the machine life cycle27
Independent double DQN-based multi-agent reinforcement learning approach for online two-stage hybrid flow shop scheduling with batch machines27
Collaborative scheduling of spare parts production and service workers driven by distributed maintenance demand27
Reconstruction-based visual anomaly detection in wound rotor synchronous machine production using convolutional autoencoders and structural similarity27
Automated guided vehicle dispatching and routing integration via digital twin with deep reinforcement learning27
Unsupervised domain-share CNN for machine fault transfer diagnosis from steady speeds to time-varying speeds27
Publisher's note27
Reverse logistics network design for product reuse, remanufacturing, recycling and refurbishing under uncertainty27
Digital twin and blockchain enhanced smart manufacturing service collaboration and management26
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 components26
Metrics-based dynamic product sustainability performance evaluation for advancing the circular economy26
Data-driven unsupervised anomaly detection of manufacturing processes with multi-scale prototype augmentation and multi-sensor data26
An inspection policy for shredder equipment used in steel production lines considering buffer level and operating time26
Fully convolutional network-based registration for augmented assembly systems26
Feature structured domain adaptation for quality prediction of cross working conditions in industrial processes26
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