Journal of Manufacturing Systems

Papers
(The median citation count of Journal of Manufacturing Systems is 9. 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 2021-02-01 to 2025-02-01.)
ArticleCitations
Reconfigurable flexible assembly model and implementation for cross-category products1122
Expanding the horizons of metal additive manufacturing: A comprehensive multi-objective optimization model incorporating sustainability for SMEs501
Point cloud self-supervised learning for machining feature recognition472
Solving multi-objective hybrid flowshop lot-streaming scheduling with consistent and limited sub-lots via a knowledge-based memetic algorithm406
Data-model linkage prediction of tool remaining useful life based on deep feature fusion and Wiener process301
Ensuring additive manufacturing quality and cyber–physical security via side-channel measurements and transmissions271
AEKD: Unsupervised auto-encoder knowledge distillation for industrial anomaly detection252
Deep learning-based augmented reality work instruction assistance system for complex manual assembly190
Digital twin based photogrammetry field-of-view evaluation and 3D layout optimisation for reconfigurable manufacturing systems179
Integrated operation planning and process adjustment for optimum cost with attention to manufacturing quality and waste179
Physics-informed tool wear prediction in turning process: A thermo-mechanical wear-included force model integrated with machine learning178
Deep reinforcement learning-based dynamic scheduling for resilient and sustainable manufacturing: A systematic review170
Zero Defect Manufacturing: A complete guide for advanced and sustainable quality management164
Blockchain-based cloud-edge collaborative data management for human-robot collaboration digital twin system132
A new cause-mechanism independence estimation based cross-domain learning method for machining deformation prediction131
LogicLSTM: Logically-driven long short-term memory model for fault diagnosis in gearboxes129
Federated domain generalization for condition monitoring in ultrasonic metal welding128
Improved root cause analysis supporting resilient production systems125
Evaluation of 5G-capable framework for highly mobile, scalable human-machine interfaces in cyber-physical production systems124
Securing cyber-physical additive manufacturing systems by in-situ process authentication using streamline video analysis123
Flexible business strategies to enhance resilience in manufacturing supply chains: An empirical study122
A distributed physical architecture and data-based scheduling method for smart factory based on intelligent agents119
Multi-objective complex product assembly scheduling problem considering parallel team and worker skills117
Functional healthy state evaluation approach for manufacturing systems considering imperfect inspection based on extended stochastic flow network116
Real-time occlusion handling for augmented reality assistance assembly systems with monocular images108
Intelligent STEP-NC-compliant setup planning method108
Digital twin-driven centering process optimization for high-precision glass lens103
A semantic similarity computation method for virtual resources in cloud manufacturing environment based on information content99
Methodology for the selection of manufacturing technology chains based on ecologic and economic performance indicators97
Enabling adaptability and resilience of a global production network: A model to evaluate capital and operational expenses of reconfigurable production systems93
A new visual-guided and partition-based multi-setup 3D printing system92
Learning digital emulators for closed architecture machine tool controllers91
A systematic framework for tackling anomalous pre-welding workpiece postures with regular butt joints based on prototype features90
Profile extraction and defect detection for stereolithography curing process based on multi-regularized tensor decomposition90
Advancing human-robot collaboration: Predicting operator trajectories through AI and infrared imaging89
On the feasibility of an integrated English wheel system87
Leveraging natural language processing and community detection for shaping manufacturing communities in social manufacturing87
A vision-language-guided robotic action planning approach for ambiguity mitigation in human–robot collaborative manufacturing86
Petri-net-based deep reinforcement learning for real-time scheduling of automated manufacturing systems85
Graph neural network and multi-agent reinforcement learning for machine-process-system integrated control to optimize production yield84
Prediction of melt pool width and layer height for Laser Directed Energy Deposition enabled by physics-driven temporal convolutional network84
Towards Self-X cognitive manufacturing network: An industrial knowledge graph-based multi-agent reinforcement learning approach83
Surface roughness prediction through GAN-synthesized power signal as a process signature83
Manufacturing service capability prediction with Graph Neural Networks83
Generative adversarial network for early-stage design flexibility in topology optimization for additive manufacturing82
Deep neural network and meta-learning-based reactive sputtering with small data sample counts82
Human-cyber-physical system for operation in nuclear reactor possessing asymmetric multi-task learning-based predicting framework82
An LLM-based vision and language cobot navigation approach for Human-centric Smart Manufacturing80
Efficient stochastic parametric estimation for lithium-ion battery performance degradation tracking and prognosis80
Leveraging small-scale datasets for additive manufacturing process modeling and part certification: Current practice and remaining gaps80
Editorial Board79
Machine learning classification of surface fracture in ultra-precision diamond turning using CSI intensity map images76
A cascaded combination method for defect detection of metal gear end-face74
An end-to-end big data analytics platform for IoT-enabled smart factories: A case study of battery module assembly system for electric vehicles73
The progress and trend of digital twin research over the last 20 years: A bibliometrics-based visualization analysis72
A multi-level adaptation scheme for hierarchical bearing fault diagnosis under variable working conditions71
A leanness assessment methodology based on neutrosophic DEMATEL71
Industrial Metaverse: A proactive human-robot collaboration perspective70
Machine identity authentication via unobservable fingerprinting signature: A functional data analysis approach for MQTT 5.0 protocol70
Knowledge graph-based manufacturing process planning: A state-of-the-art review70
A framework for designing a degradation-aware controller based on empirical estimation of the state–action cost and model predictive control68
A causal based method for denoising non-homologous noises in time series manufacturing monitoring data66
Industrial metaverse towards Industry 5.0: Connotation, architecture, enablers, and challenges66
Editorial Board65
A high-flexible multi-objective stochastic planning system based on nozzle-combined printing in display manufacturing64
A digital twin-based assembly model for multi-source variation fusion on vision transformer64
A multi-level action coupling reinforcement learning approach for online two-stage flexible assembly flow shop scheduling64
Online visual end-to-end detection monitoring on surface defect of aluminum strip under the industrial few-shot condition62
A holistic sustainability framework for remanufacturing under uncertainty62
Solving task scheduling problems in cloud manufacturing via attention mechanism and deep reinforcement learning62
Comprehensive review on various additive manufacturing techniques and its implementation in electronic devices61
PEN: Process Estimator neural Network for root cause analysis using graph convolution60
A supply chain disruption recovery strategy considering product change under COVID-1960
A study on a Q-Learning algorithm application to a manufacturing assembly problem59
A methodology for data-driven adjustment of variation propagation models in multistage manufacturing processes59
Multi-objective optimization and innovization-based knowledge discovery of sustainable machining process58
Iterative closest point-based data fusion of non-synchronized in-situ and ex-situ data in laser powder bed fusion58
Role of additive manufacturing in medical application COVID-19 scenario: India case study57
Towards smart layout design for a reconfigurable manufacturing system56
Data-driven carbon emission accounting for manufacturing systems based on meta-carbon-emission block55
State-of-the-art of selective laser melting process: A comprehensive review55
Dynamic reliability of thermally deduced positioning precision of ball screw systems based on random moving difference method54
Enabling predictive maintenance integrated production scheduling by operation-specific health prognostics with generative deep learning54
Tool wear monitoring of TC4 titanium alloy milling process based on multi-channel signal and time-dependent properties by using deep learning54
A hybrid Jaya algorithm for solving flexible job shop scheduling problem considering multiple critical paths54
Online quality inspection of resistance spot welding for automotive production lines54
From Nash Q-learning to nash-MADDPG: Advancements in multiagent control for multiproduct flexible manufacturing systems53
Parametrization of manual work in automotive assembly for wearable force sensing53
Integrated Quality, Maintenance and Production model for multivariate processes: A Bayesian Approach53
Functional state-space model for multi-channel autoregressive profiles with application in advanced manufacturing53
Immersive and interactive cyber-physical system (I2CPS) and virtual reality interface for human involved robotic manufacturing52
How de-manufacturing supports circular economy linking design and EoL - a literature review51
Machine learning approach in non-intrusive monitoring of tool wear evolution in massive CFRP automatic drilling processes in the aircraft industry51
A milling tool wear monitoring method with sensing generalization capability50
Joint optimization of feature sequences and toolpath strategies in multi-feature workpiece machining for minimizing energy consumption and processing time50
A hybrid genetic tabu search algorithm for distributed flexible job shop scheduling problems50
A chance-constraint programming approach for a disassembly line balancing problem under uncertainty49
Meta domain generalization for smart manufacturing: Tool wear prediction with small data49
Cross-evaluation of a parallel operating SVM – CNN classifier for reliable internal decision-making processes in composite inspection48
Harmonizing ergonomics and economics of assembly lines using collaborative robots and exoskeletons48
A human-centric framework for robotic task learning and optimization48
Joint multi-objective dynamic scheduling of machine tools and vehicles in a workshop based on digital twin48
Energy consumption prediction and optimization of industrial robots based on LSTM47
Machine learning based screw drive state detection for unfastening screw connections47
Optimal process planning for hybrid additive–subtractive manufacturing using recursive volume decomposition with decision criteria47
Structural on-line control policy for collision and deadlock resolution in multi-AGV systems47
Planning of multi-production line maintenance46
A residual reinforcement learning method for robotic assembly using visual and force information46
A learning workflow based on an integrated digital toolkit to support education in manufacturing system engineering45
Deep reinforcement learning for optimal planning of assembly line maintenance44
Architecture for data-centric and semantic-enhanced industrial metaverse: Bridging physical factories and virtual landscape44
Prediction of per-batch yield rates in production based on maximum likelihood estimation of per-machine yield rates43
A local manipulation path replanning algorithm on deformable linear objects for collisions resulted from model deviation43
An effective MID-based visual defect detection method for specular car body surface43
Digital twin and cloud-side-end collaboration for intelligent battery management system43
Evaluation framework of digital characteristics (DC) enhanced lubricant: Consideration of essential geometric features for hot-stamped components43
Industry 5.0 and Society 5.0—Comparison, complementation and co-evolution42
CNN-based in situ tool wear detection: A study on model training and data augmentation in turning inserts42
A novel MR remote collaboration system using 3D spatial area cue and visual notification42
A transformer-based approach for novel fault detection and fault classification/diagnosis in manufacturing: A rotary system application41
A multi-agent system simulation based approach for collision avoidance in integrated Job-Shop Scheduling Problem with transportation tasks40
A phased robotic assembly policy based on a PL-LSTM-SAC algorithm40
The advance of digital twin for predictive maintenance: The role and function of machine learning40
Employing deep reinforcement learning for machining process planning: An improved framework40
A review of in-situ monitoring and process control system in metal-based laser additive manufacturing40
Leveraging AI for energy-efficient manufacturing systems: Review and future prospectives39
Development of intelligent system to consider worker's comfortable work duration in assembly line work scheduling39
Optimizing burn-in and predictive maintenance for enhanced reliability in manufacturing systems: A two-unit series system approach39
A dynamic artificial bee colony for fuzzy distributed energy-efficient hybrid flow shop scheduling with batch processing machines39
Optimizing task scheduling in human-robot collaboration with deep multi-agent reinforcement learning38
Classification and regression models of audio and vibration signals for machine state monitoring in precision machining systems38
Multi-scale conditional diffusion model for deposited droplet volume measurement in inkjet printing manufacturing38
A self-adaptive exception adjustment approach of multi-core value nets in industry alliance38
Realtime scheduling heuristics for just-in-time production in large-scale flexible job shops37
Dynamic scheduling of tasks in cloud manufacturing with multi-agent reinforcement learning37
An improved genetic algorithm with modified critical path-based searching for integrated process planning and scheduling problem considering automated guided vehicle transportation task37
Supporting disassembly processes through simulation tools: A systematic literature review with a focus on printed circuit boards36
An experimental study on augmented reality assisted manual assembly with occluded components36
A novel priority dispatch rule generation method based on graph neural network and reinforcement learning for distributed job-shop scheduling36
Effective dispatching rules mining based on near-optimal schedules in intelligent job shop environment35
Digital twin enhanced fault prediction for the autoclave with insufficient data35
Joint production, inspection and maintenance control policies for deteriorating system under quality constraint35
A novel approach to CNC machining center processing parameters optimization considering energy-saving and low-cost35
Development of a multidimensional conceptual model for job shop smart manufacturing scheduling from the Industry 4.0 perspective35
A convolutional neural network-based multi-sensor fusion approach for in-situ quality monitoring of selective laser melting35
Decentralized learning multi-agent system for online machine shop scheduling problem34
Workforce planning and production scheduling in a reconfigurable manufacturing system facing the COVID-19 pandemic34
Intention recognition-based human–machine interaction for mixed flow assembly34
Optimisation of mixed-model assembly line balancing problem under uncertain demand34
A framework for human-centered production planning and control in smart manufacturing34
Adopting extended reality? A systematic review of manufacturing training and teaching applications34
Using evolutionary artificial neural networks in monitoring binary and polytomous logistic profiles34
Collaborative production and predictive maintenance scheduling for flexible flow shop with stochastic interruptions and monitoring data33
Digital thread-based modeling of digital twin framework for the aircraft assembly system33
A piecewise method for bearing remaining useful life estimation using temporal convolutional networks33
Deep learning-based data registration of melt-pool-monitoring images for laser powder bed fusion additive manufacturing33
Modified DSAN for unsupervised cross-domain fault diagnosis of bearing under speed fluctuation33
A support-design framework for Cooperative Robots systems in labor-intensive manufacturing processes32
Application of automation for in-line quality inspection, a zero-defect manufacturing approach32
Graph neural networks-based scheduler for production planning problems using reinforcement learning32
Degradation stage classification via interpretable feature learning32
Neural agent-based production planning and control: An architectural review32
An interpretable convolutional neural network with multi-wavelet kernel fusion for intelligent fault diagnosis31
Maturity assessment for Industry 5.0: A review of existing maturity models31
Sensor-aware CapsNet: Towards trustworthy multisensory fusion for remaining useful life prediction30
Real-time integrated production-scheduling and maintenance-planning in a flexible job shop with machine deterioration and condition-based maintenance30
Digital twin-enabled robust production scheduling for equipment in degraded state30
Erratum to “The HORSE framework: A reference architecture for cyber-physical systems in hybrid smart manufacturing” [J Manuf Sys 61 (2021) 461–494]30
A digital-twin visualized architecture for Flexible Manufacturing System30
A fast ramp-up framework for wafer yield improvement in semiconductor manufacturing systems29
A multi-hierarchical aggregation-based graph convolutional network for industrial knowledge graph embedding towards cognitive intelligent manufacturing29
A novel Soft Actor–Critic framework with disjunctive graph embedding and autoencoder mechanism for Job Shop Scheduling Problems29
A skeleton-based assembly action recognition method with feature fusion for human-robot collaborative assembly29
A novel data augmentation framework for remaining useful life estimation with dense convolutional regression network29
Digital twin and blockchain-enabled trusted optimal-state synchronized control approach for distributed smart manufacturing system in social manufacturing29
Digitally enhanced lubricant evaluation and improvement framework through developing digital characteristics (DC) for hot forging of aluminium alloys29
Automated broad transfer learning for cross-domain fault diagnosis28
Building a right digital twin with model engineering28
Level of automation (LOA) in aerospace composite manufacturing: Present status and future directions towards industry 4.028
Maximizing model generalization for machine condition monitoring with Self-Supervised Learning and Federated Learning28
Digital Twin Technology — A bibliometric study of top research articles based on Local Citation Score28
An aircraft engine remaining useful life prediction method based on predictive vector angle minimization and feature fusion gate improved transformer model28
Neuron synergy based explainable neural network for manufacturing cycle time forecasting28
Digital twin-based anomaly detection for real-time tool condition monitoring in machining28
Distributed assembly permutation flow shop problem; Single seekers society algorithm28
Spindle thermal error prediction approach based on thermal infrared images: A deep learning method27
Cross-domain tool wear condition monitoring via residual attention hybrid adaptation network27
Digital twin-based structural health monitoring by combining measurement and computational data: An aircraft wing example27
Time-series pattern recognition in Smart Manufacturing Systems: A literature review and ontology27
Effect of coaxial nozzle wear on catchment efficiency in direct energy deposition built components27
Digital Twin-enabled Collaborative Data Management for Metal Additive Manufacturing Systems27
Time series prediction for production quality in a machining system using spatial-temporal multi-task graph learning27
A multi-scale modeling method for digital twin shop-floor26
Data science skills and domain knowledge requirements in the manufacturing industry: A gap analysis26
A digital twin commissioning method for machine tools based on scenario simulation26
Stochastic modeling for tracking and prediction of gradual and transient battery performance degradation26
Model-based learning on state-based potential games for distributed self-optimization of manufacturing systems26
A general mathematic model framework for assembly process driven digital twin of assembly precision26
Modelling the startup of machine tools for energy efficient multi-sleep control policies26
Tackling temporal-dynamic service composition in cloud manufacturing systems: A tensor factorization-based two-stage approach26
Deep learning-based fault diagnosis of planetary gearbox: A systematic review26
An improved non-dominated sorting genetic algorithm II for distributed heterogeneous hybrid flow-shop scheduling with blocking constraints26
Models and P4R asset description for digital twin-based advanced planning and scheduling using cyber-physical integration for resilient production operation25
Industry 5.0: Prospect and retrospect25
Flexible robotic cell scheduling with graph neural network based deep reinforcement learning25
Method for drill-bit arrangement in CNC woodworking drilling machine for mass customization25
Optimizing the energy efficiency of chiller systems in the semiconductor industry through big data analytics and an empirical study25
Tool wear identification and prediction method based on stack sparse self-coding network25
Dynamic carbon emissions accounting in the mixed production process of multi-pressure die-castingproducts based on cyber physical production system25
A fidelity evaluation method for digital twin model of aero-engine assembly characteristics25
Towards data-driven quality monitoring for advanced metal inert gas welding processes in body-in-white25
Challenges and opportunities on AR/VR technologies for manufacturing systems in the context of industry 4.0: A state of the art review25
Deep expert network: A unified method toward knowledge-informed fault diagnosis via fully interpretable neuro-symbolic AI25
Investigation of assistance systems in assembly in the context of digitalization: A systematic literature review25
A new description model for enabling more general manufacturing systems representation in digital twin24
Mathematical model and discrete artificial Bee Colony algorithm for distributed integrated process planning and scheduling24
Model-based tool condition prognosis using power consumption and scarce surface roughness measurements24
A data-driven simulation-optimization framework for generating priority dispatching rules in dynamic job shop scheduling with uncertainties24
An edge intelligence-based model deployment method for CNC systems24
Interference probability matrix for disassembly sequence planning under uncertain interference24
Context-aware manufacturing system design using machine learning24
Unsupervised multimodal fusion of in-process sensor data for advanced manufacturing process monitoring24
A contextual sensor system for non-intrusive machine status and energy monitoring23
Cognitive engine for augmented human decision-making in manufacturing process control23
Explainable production planning under partial observability in high-precision manufacturing23
A futuristic perspective on human-centric assembly23
Safe and minimum-time path-following problem for collaborative industrial robots23
Classification of primitive manufacturing tasks from filtered event data23
Multi-objective Quantum Annealing approach for solving flexible job shop scheduling in manufacturing23
A process model for systematically setting up the data basis for data-driven projects in manufacturing23
A two-stage hybrid manufacturing model with controllable make-to-order production rates23
Editorial Board23
Multichannel profile-based monitoring method and its application in the basic oxygen furnace steelmaking process23
A consistency evaluation method for digital twin models22
Survey on robotic systems for internal logistics22
Discovery of path-attribute dependency in manufacturing environments: A process mining approach22
Human modeling and interaction in cyber-physical systems: A reference framework22
Implicit residual approximation for multi-sensor data fusion in surface geometry measurement22
Error homogenization in physics-informed neural networks for modeling in manufacturing22
Improved spiking neural network for intershaft bearing fault diagnosis22
Manufacturing cybersecurity threat attributes and countermeasures: Review, meta-taxonomy, and use cases of cyberattack taxonomies22
Proof of service power: A blockchain consensus for cloud manufacturing22
Interpretable real-time monitoring of pipeline weld crack leakage based on wavelet multi-kernel network22
Visible Light Communication and localization: A study on tracking solutions for Industry 4.0 and the Operator 4.021
Multitask-oriented manufacturing service composition in an uncertain environment using a hyper-heuristic algorithm21
Data-driven optimization of accessory combinations for final testing processes in semiconductor manufacturing21
Hybrid multi-task learning-based response surface modeling in manufacturing21
Cascaded detection method for surface defects of lead frame based on high-resolution detection images21
Blockchain-based application for the traceability of complex assembly structures21
Case study into the successful emergency production and certification of a filtering facepiece respirator for Belgian hospitals during the COVID-19 pandemic21
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