Journal of Manufacturing Systems

Papers
(The TQCC of Journal of Manufacturing Systems is 28. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
Reconfigurable flexible assembly model and implementation for cross-category products1309
Digital twin based photogrammetry field-of-view evaluation and 3D layout optimisation for reconfigurable manufacturing systems614
A new cause-mechanism independence estimation based cross-domain learning method for machining deformation prediction590
Review of manufacturing system design in the interplay of Industry 4.0 and Industry 5.0 (Part II): Design processes and enablers464
Demonstrating a Swarm Production lifecycle: A comprehensive multi-robot simulation approach376
Digital twin technology in modern machining: A comprehensive review of research on machining errors322
Bayesian neural networks for predicting quality in reclaimed waste sand for foundry applications306
Towards perceptive assembly: Real-time full-field deformation twin perception method for large components under parametric load220
Improved root cause analysis supporting resilient production systems213
Multi-objective complex product assembly scheduling problem considering parallel team and worker skills211
Real-time occlusion handling for augmented reality assistance assembly systems with monocular images207
Knowledge graph-based manufacturing process planning: A state-of-the-art review203
Machine learning approach in non-intrusive monitoring of tool wear evolution in massive CFRP automatic drilling processes in the aircraft industry178
A dynamic artificial bee colony for fuzzy distributed energy-efficient hybrid flow shop scheduling with batch processing machines170
From Nash Q-learning to nash-MADDPG: Advancements in multiagent control for multiproduct flexible manufacturing systems162
Zero Defect Manufacturing: A complete guide for advanced and sustainable quality management160
Deep reinforcement learning-based dynamic scheduling for resilient and sustainable manufacturing: A systematic review152
Efficient stochastic parametric estimation for lithium-ion battery performance degradation tracking and prognosis151
Data-driven carbon emission accounting for manufacturing systems based on meta-carbon-emission block148
Joint production, inspection and maintenance control policies for deteriorating system under quality constraint145
Enabling adaptability and resilience of a global production network: A model to evaluate capital and operational expenses of reconfigurable production systems135
Methodology for the selection of manufacturing technology chains based on ecologic and economic performance indicators135
A new visual-guided and partition-based multi-setup 3D printing system132
Profile extraction and defect detection for stereolithography curing process based on multi-regularized tensor decomposition130
On the feasibility of an integrated English wheel system125
Manufacturing service capability prediction with Graph Neural Networks124
Surface roughness prediction through GAN-synthesized power signal as a process signature124
AEKD: Unsupervised auto-encoder knowledge distillation for industrial anomaly detection123
Solving task scheduling problems in cloud manufacturing via attention mechanism and deep reinforcement learning120
Ensuring additive manufacturing quality and cyber–physical security via side-channel measurements and transmissions119
Dynamic scheduling of tasks in cloud manufacturing with multi-agent reinforcement learning118
Towards smart layout design for a reconfigurable manufacturing system116
Deep reinforcement learning for optimal planning of assembly line maintenance116
A hybrid genetic tabu search algorithm for distributed flexible job shop scheduling problems110
An LLM-based vision and language cobot navigation approach for Human-centric Smart Manufacturing108
Architecture for data-centric and semantic-enhanced industrial metaverse: Bridging physical factories and virtual landscape108
Advancing human-robot collaboration: Predicting operator trajectories through AI and infrared imaging107
A vision-language-guided robotic action planning approach for ambiguity mitigation in human–robot collaborative manufacturing104
Online quality inspection of resistance spot welding for automotive production lines104
Evaluation of 5G-capable framework for highly mobile, scalable human-machine interfaces in cyber-physical production systems102
Generative adversarial network for early-stage design flexibility in topology optimization for additive manufacturing100
Deep neural network and meta-learning-based reactive sputtering with small data sample counts100
Editorial Board99
Machine identity authentication via unobservable fingerprinting signature: A functional data analysis approach for MQTT 5.0 protocol99
An end-to-end big data analytics platform for IoT-enabled smart factories: A case study of battery module assembly system for electric vehicles99
A causal based method for denoising non-homologous noises in time series manufacturing monitoring data98
Editorial Board96
A high-flexible multi-objective stochastic planning system based on nozzle-combined printing in display manufacturing95
A multi-level action coupling reinforcement learning approach for online two-stage flexible assembly flow shop scheduling94
Securing cyber-physical additive manufacturing systems by in-situ process authentication using streamline video analysis93
A holistic sustainability framework for remanufacturing under uncertainty93
Integrated Quality, Maintenance and Production model for multivariate processes: A Bayesian Approach92
Optimisation of mixed-model assembly line balancing problem under uncertain demand92
Role of additive manufacturing in medical application COVID-19 scenario: India case study91
Integrated operation planning and process adjustment for optimum cost with attention to manufacturing quality and waste90
Solving multi-objective hybrid flowshop lot-streaming scheduling with consistent and limited sub-lots via a knowledge-based memetic algorithm89
A leanness assessment methodology based on neutrosophic DEMATEL86
A support-design framework for Cooperative Robots systems in labor-intensive manufacturing processes85
Optimizing burn-in and predictive maintenance for enhanced reliability in manufacturing systems: A two-unit series system approach85
LogicLSTM: Logically-driven long short-term memory model for fault diagnosis in gearboxes85
A multi-level adaptation scheme for hierarchical bearing fault diagnosis under variable working conditions84
Functional state-space model for multi-channel autoregressive profiles with application in advanced manufacturing83
Machine learning classification of surface fracture in ultra-precision diamond turning using CSI intensity map images83
A novel MR remote collaboration system using 3D spatial area cue and visual notification83
Parametrization of manual work in automotive assembly for wearable force sensing82
A milling tool wear monitoring method with sensing generalization capability80
Joint multi-objective dynamic scheduling of machine tools and vehicles in a workshop based on digital twin77
A cascaded combination method for defect detection of metal gear end-face76
Structural on-line control policy for collision and deadlock resolution in multi-AGV systems76
A learning workflow based on an integrated digital toolkit to support education in manufacturing system engineering75
A local manipulation path replanning algorithm on deformable linear objects for collisions resulted from model deviation74
Evaluation framework of digital characteristics (DC) enhanced lubricant: Consideration of essential geometric features for hot-stamped components74
CNN-based in situ tool wear detection: A study on model training and data augmentation in turning inserts73
Employing deep reinforcement learning for machining process planning: An improved framework73
A phased robotic assembly policy based on a PL-LSTM-SAC algorithm71
Development of intelligent system to consider worker's comfortable work duration in assembly line work scheduling70
A residual reinforcement learning method for robotic assembly using visual and force information70
Development of a multidimensional conceptual model for job shop smart manufacturing scheduling from the Industry 4.0 perspective69
Intention recognition-based human–machine interaction for mixed flow assembly68
Graph neural networks-based scheduler for production planning problems using reinforcement learning66
Collaborative production and predictive maintenance scheduling for flexible flow shop with stochastic interruptions and monitoring data66
A semantic similarity computation method for virtual resources in cloud manufacturing environment based on information content65
Erratum to “The HORSE framework: A reference architecture for cyber-physical systems in hybrid smart manufacturing” [J Manuf Sys 61 (2021) 461–494]65
Digital twin-enabled robust production scheduling for equipment in degraded state65
A supply chain disruption recovery strategy considering product change under COVID-1964
A systematic framework for tackling anomalous pre-welding workpiece postures with regular butt joints based on prototype features63
An experimental study on augmented reality assisted manual assembly with occluded components63
Adopting extended reality? A systematic review of manufacturing training and teaching applications63
Degradation stage classification via interpretable feature learning63
Using evolutionary artificial neural networks in monitoring binary and polytomous logistic profiles63
The progress and trend of digital twin research over the last 20 years: A bibliometrics-based visualization analysis62
Leveraging small-scale datasets for additive manufacturing process modeling and part certification: Current practice and remaining gaps62
A chance-constraint programming approach for a disassembly line balancing problem under uncertainty62
A framework for designing a degradation-aware controller based on empirical estimation of the state–action cost and model predictive control61
Joint optimization of feature sequences and toolpath strategies in multi-feature workpiece machining for minimizing energy consumption and processing time61
Planning of multi-production line maintenance60
Leveraging natural language processing and community detection for shaping manufacturing communities in social manufacturing60
Point cloud self-supervised learning for machining feature recognition59
Expanding the horizons of metal additive manufacturing: A comprehensive multi-objective optimization model incorporating sustainability for SMEs57
Blockchain-based cloud-edge collaborative data management for human-robot collaboration digital twin system56
PEN: Process Estimator neural Network for root cause analysis using graph convolution56
Federated domain generalization for condition monitoring in ultrasonic metal welding56
Physics-informed tool wear prediction in turning process: A thermo-mechanical wear-included force model integrated with machine learning56
Effective dispatching rules mining based on near-optimal schedules in intelligent job shop environment55
Functional healthy state evaluation approach for manufacturing systems considering imperfect inspection based on extended stochastic flow network55
Multi-objective optimization and innovization-based knowledge discovery of sustainable machining process55
Workforce planning and production scheduling in a reconfigurable manufacturing system facing the COVID-19 pandemic55
Human-cyber-physical system for operation in nuclear reactor possessing asymmetric multi-task learning-based predicting framework55
Intelligent STEP-NC-compliant setup planning method55
Prediction of per-batch yield rates in production based on maximum likelihood estimation of per-machine yield rates55
A methodology for data-driven adjustment of variation propagation models in multistage manufacturing processes54
A human-centric framework for robotic task learning and optimization54
A distributed physical architecture and data-based scheduling method for smart factory based on intelligent agents54
A multi-agent system simulation based approach for collision avoidance in integrated Job-Shop Scheduling Problem with transportation tasks53
Neural agent-based production planning and control: An architectural review53
Digital twin-driven centering process optimization for high-precision glass lens53
A digital-twin visualized architecture for Flexible Manufacturing System52
Learning digital emulators for closed architecture machine tool controllers52
A novel data augmentation framework for remaining useful life estimation with dense convolutional regression network52
Enabling predictive maintenance integrated production scheduling by operation-specific health prognostics with generative deep learning52
Optimal process planning for hybrid additive–subtractive manufacturing using recursive volume decomposition with decision criteria52
Cross-evaluation of a parallel operating SVM – CNN classifier for reliable internal decision-making processes in composite inspection51
A study on a Q-Learning algorithm application to a manufacturing assembly problem51
Deep learning-based augmented reality work instruction assistance system for complex manual assembly50
Energy consumption prediction and optimization of industrial robots based on LSTM50
A convolutional neural network-based multi-sensor fusion approach for in-situ quality monitoring of selective laser melting50
Towards Self-X cognitive manufacturing network: An industrial knowledge graph-based multi-agent reinforcement learning approach50
A framework for human-centered production planning and control in smart manufacturing49
Iterative closest point-based data fusion of non-synchronized in-situ and ex-situ data in laser powder bed fusion49
Online visual end-to-end detection monitoring on surface defect of aluminum strip under the industrial few-shot condition49
Harmonizing ergonomics and economics of assembly lines using collaborative robots and exoskeletons49
Tool wear monitoring of TC4 titanium alloy milling process based on multi-channel signal and time-dependent properties by using deep learning48
Digital thread-based modeling of digital twin framework for the aircraft assembly system48
Sensor-aware CapsNet: Towards trustworthy multisensory fusion for remaining useful life prediction47
Comprehensive review on various additive manufacturing techniques and its implementation in electronic devices46
Data-model linkage prediction of tool remaining useful life based on deep feature fusion and Wiener process46
Realtime scheduling heuristics for just-in-time production in large-scale flexible job shops46
Dynamic reliability of thermally deduced positioning precision of ball screw systems based on random moving difference method45
Machine learning based screw drive state detection for unfastening screw connections45
Deep learning-based data registration of melt-pool-monitoring images for laser powder bed fusion additive manufacturing44
Immersive and interactive cyber-physical system (I2CPS) and virtual reality interface for human involved robotic manufacturing44
Leveraging AI for energy-efficient manufacturing systems: Review and future prospectives44
Modified DSAN for unsupervised cross-domain fault diagnosis of bearing under speed fluctuation44
Multi-scale conditional diffusion model for deposited droplet volume measurement in inkjet printing manufacturing44
A transformer-based approach for novel fault detection and fault classification/diagnosis in manufacturing: A rotary system application44
Decentralized learning multi-agent system for online machine shop scheduling problem43
How de-manufacturing supports circular economy linking design and EoL - a literature review43
Application and trends of point cloud in intelligent welding: State of the art review43
Optimizing task scheduling in human-robot collaboration with deep multi-agent reinforcement learning43
Digital twin and cloud-side-end collaboration for intelligent battery management system42
Petri-net-based deep reinforcement learning for real-time scheduling of automated manufacturing systems42
An improved genetic algorithm with modified critical path-based searching for integrated process planning and scheduling problem considering automated guided vehicle transportation task42
Prediction of melt pool width and layer height for Laser Directed Energy Deposition enabled by physics-driven temporal convolutional network42
A hybrid Jaya algorithm for solving flexible job shop scheduling problem considering multiple critical paths41
A review of in-situ monitoring and process control system in metal-based laser additive manufacturing41
Real-time integrated production-scheduling and maintenance-planning in a flexible job shop with machine deterioration and condition-based maintenance41
Meta domain generalization for smart manufacturing: Tool wear prediction with small data40
An interpretable convolutional neural network with multi-wavelet kernel fusion for intelligent fault diagnosis40
Digital twin enhanced fault prediction for the autoclave with insufficient data40
A self-adaptive exception adjustment approach of multi-core value nets in industry alliance40
A novel priority dispatch rule generation method based on graph neural network and reinforcement learning for distributed job-shop scheduling40
Classification and regression models of audio and vibration signals for machine state monitoring in precision machining systems40
Application of automation for in-line quality inspection, a zero-defect manufacturing approach39
Industrial metaverse towards Industry 5.0: Connotation, architecture, enablers, and challenges39
Graph neural network and multi-agent reinforcement learning for machine-process-system integrated control to optimize production yield39
Maturity assessment for Industry 5.0: A review of existing maturity models39
A novel approach to CNC machining center processing parameters optimization considering energy-saving and low-cost39
Flexible business strategies to enhance resilience in manufacturing supply chains: An empirical study39
A digital twin-based assembly model for multi-source variation fusion on vision transformer39
State-of-the-art of selective laser melting process: A comprehensive review39
Industrial Metaverse: A proactive human-robot collaboration perspective39
Supporting disassembly processes through simulation tools: A systematic literature review with a focus on printed circuit boards39
A piecewise method for bearing remaining useful life estimation using temporal convolutional networks38
Industry 5.0 and Society 5.0—Comparison, complementation and co-evolution38
The advance of digital twin for predictive maintenance: The role and function of machine learning38
An effective MID-based visual defect detection method for specular car body surface38
A fast ramp-up framework for wafer yield improvement in semiconductor manufacturing systems38
Disassembly task planning for end-of-life automotive traction batteries based on ontology and partial destructive rules37
A novel multi-tasks chain scheduling algorithm based on capacity prediction to solve AGV dispatching problem in an intelligent manufacturing system37
Digital twin-based structural health monitoring by combining measurement and computational data: An aircraft wing example37
Cascaded detection method for surface defects of lead frame based on high-resolution detection images37
Time-series pattern recognition in Smart Manufacturing Systems: A literature review and ontology36
Maximizing model generalization for machine condition monitoring with Self-Supervised Learning and Federated Learning36
Neuron synergy based explainable neural network for manufacturing cycle time forecasting36
Human-robot collaborative disassembly in Industry 5.0: A systematic literature review and future research agenda36
Towards automatic anomaly detection and diagnosis in positional arc-directed energy deposition based on deep learning35
A novel dynamic spatio-temporal graph based condition monitoring framework for consistency retention of digital twin35
A Q-learning-based improved multi-objective genetic algorithm for solving distributed heterogeneous assembly flexible job shop scheduling problems with transfers35
A deep graph neural network-based link prediction model for proactive anomaly detection in discrete manufacturing workshop35
Resilient manufacturing: A review of disruptions, assessment, and pathways34
Digital Twin Technology — A bibliometric study of top research articles based on Local Citation Score34
Level of automation (LOA) in aerospace composite manufacturing: Present status and future directions towards industry 4.034
An aircraft engine remaining useful life prediction method based on predictive vector angle minimization and feature fusion gate improved transformer model34
Modelling and optimization of line efficiency for preventive maintenance of robot disassembly line34
Editorial Board34
Distributed assembly permutation flow shop problem; Single seekers society algorithm34
Time series prediction for production quality in a machining system using spatial-temporal multi-task graph learning33
Improved spiking neural network for intershaft bearing fault diagnosis33
Tackling temporal-dynamic service composition in cloud manufacturing systems: A tensor factorization-based two-stage approach33
Building a right digital twin with model engineering33
Smart manufacturing scheduling: A literature review33
Manufacturing cybersecurity threat attributes and countermeasures: Review, meta-taxonomy, and use cases of cyberattack taxonomies33
Optimizing the energy efficiency of chiller systems in the semiconductor industry through big data analytics and an empirical study32
Models and P4R asset description for digital twin-based advanced planning and scheduling using cyber-physical integration for resilient production operation32
Model-based learning on state-based potential games for distributed self-optimization of manufacturing systems32
Deep learning-based fault diagnosis of planetary gearbox: A systematic review32
A new BRTCN model for predicting discharge status of WEDM based on acoustic emission32
An improved genetic programming hyper-heuristic for the dynamic flexible job shop scheduling problem with reconfigurable manufacturing cells32
A contextual sensor system for non-intrusive machine status and energy monitoring31
Deep expert network: A unified method toward knowledge-informed fault diagnosis via fully interpretable neuro-symbolic AI31
Mathematical model and discrete artificial Bee Colony algorithm for distributed integrated process planning and scheduling31
Investigation of assistance systems in assembly in the context of digitalization: A systematic literature review31
An edge intelligence-based model deployment method for CNC systems31
Blockchain-based application for the traceability of complex assembly structures30
Human modeling and interaction in cyber-physical systems: A reference framework30
Editorial Board30
Data-driven optimization of accessory combinations for final testing processes in semiconductor manufacturing30
Data science skills and domain knowledge requirements in the manufacturing industry: A gap analysis30
A two-stage hybrid manufacturing model with controllable make-to-order production rates30
Explainable production planning under partial observability in high-precision manufacturing30
Tool wear identification and prediction method based on stack sparse self-coding network30
Physics informed neural networks for fault severity identification of axial piston pumps30
Cognitive engine for augmented human decision-making in manufacturing process control30
A self-adaptive agent for flexible posture planning in robotic milling system29
A new description model for enabling more general manufacturing systems representation in digital twin29
Service oriented digital twin for additive manufacturing process29
A review: Insight into smart and sustainable ultra-precision machining augmented by intelligent IoT29
Hybrid data-driven and model-informed online tool wear detection in milling machines28
Reinforcement and deep reinforcement learning-based solutions for machine maintenance planning, scheduling policies, and optimization28
Automated broad transfer learning for cross-domain fault diagnosis28
A graph-based reinforcement learning-enabled approach for adaptive human-robot collaborative assembly operations28
Concepts and trends of virtual commissioning – A comprehensive review28
A futuristic perspective on human-centric assembly28
Envisioning maintenance 5.0: Insights from a systematic literature review of Industry 4.0 and a proposed framework28
Multi-level modeling and robustness evaluation of disturbances in intelligent workshop with temporal snapshot network28
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