Journal of Manufacturing Systems

Article	Citations
Industry 4.0 and Industry 5.0—Inception, conception and perception	755
Review of digital twin about concepts, technologies, and industrial applications	725
Enabling technologies and tools for digital twin	622
Digital twins-based smart manufacturing system design in Industry 4.0: A review	311
Industry 5.0: Prospect and retrospect	274
Smart manufacturing process and system automation – A critical review of the standards and envisioned scenarios	268
Digital twin modeling	241
Cyber-physical systems architectures for industrial internet of things applications in Industry 4.0: A literature review	222
A review on wire arc additive manufacturing: Monitoring, control and a framework of automated system	216
Outlook on human-centric manufacturing towards Industry 5.0	198
Intelligent welding system technologies: State-of-the-art review and perspectives	184
Digital twin-based designing of the configuration, motion, control, and optimization model of a flow-type smart manufacturing system	180
Digital Twin Enhanced Dynamic Job-Shop Scheduling	166
Big data analytics for intelligent manufacturing systems: A review	163
Industry 5.0 and Society 5.0—Comparison, complementation and co-evolution	161
Artificial intelligence and internet of things in small and medium-sized enterprises: A survey	159
Unsupervised domain-share CNN for machine fault transfer diagnosis from steady speeds to time-varying speeds	156
Digital twin modeling method based on biomimicry for machining aerospace components	154
A literature survey of the robotic technologies during the COVID-19 pandemic	153
Industry 4.0 smart reconfigurable manufacturing machines	151
A digital twin to train deep reinforcement learning agent for smart manufacturing plants: Environment, interfaces and intelligence	142
Digital twin-based smart assembly process design and application framework for complex products and its case study	132
Physics guided neural network for machining tool wear prediction	128
Past, present, and future barriers to digital transformation in manufacturing: A review	127
Towards multi-model approaches to predictive maintenance: A systematic literature survey on diagnostics and prognostics	119

Toward human-centric smart manufacturing: A human-cyber-physical systems (HCPS) perspective	109
State-of-the-art of selective laser melting process: A comprehensive review	106
How to model and implement connections between physical and virtual models for digital twin application	105
A novel deep convolutional neural network-bootstrap integrated method for RUL prediction of rolling bearing	102
Toward in-situ flaw detection in laser powder bed fusion additive manufacturing through layerwise imagery and machine learning	99
Systematic literature review on augmented reality in smart manufacturing: Collaboration between human and computational intelligence	99
Towards Self-X cognitive manufacturing network: An industrial knowledge graph-based multi-agent reinforcement learning approach	98
Digital twin and cloud-side-end collaboration for intelligent battery management system	98
Application of sensing techniques and artificial intelligence-based methods to laser welding real-time monitoring: A critical review of recent literature	97
Towards proactive human–robot collaboration: A foreseeable cognitive manufacturing paradigm	93
A digital-twin visualized architecture for Flexible Manufacturing System	91
MES-integrated digital twin frameworks	90
Machine learning for metal additive manufacturing: Towards a physics-informed data-driven paradigm	89
Data Construction Method for the Applications of Workshop Digital Twin System	88
New Paradigm of Data-Driven Smart Customisation through Digital Twin	88
Evaluating quality in human-robot interaction: A systematic search and classification of performance and human-centered factors, measures and metrics towards an industry 5.0	87
A knowledge-based Digital Shadow for machining industry in a Digital Twin perspective	85
Additive manufacturing and the COVID-19 challenges: An in-depth study	85
A digital twin-enhanced system for engineering product family design and optimization	85
Digital Twin-enabled Collaborative Data Management for Metal Additive Manufacturing Systems	84
Applications of virtual reality in maintenance during the industrial product lifecycle: A systematic review	84
A digital twin-based big data virtual and real fusion learning reference framework supported by industrial internet towards smart manufacturing	83
Modeling and implementation of a digital twin of material flows based on physics simulation	79
Attitude data-based deep hybrid learning architecture for intelligent fault diagnosis of multi-joint industrial robots	78
Digital Twin-driven online anomaly detection for an automation system based on edge intelligence	78
Challenges and opportunities on AR/VR technologies for manufacturing systems in the context of industry 4.0: A state of the art review	76
Decentralized cloud manufacturing-as-a-service (CMaaS) platform architecture with configurable digital assets	76
Fault detection and diagnostic method of diesel engine by combining rule-based algorithm and BNs/BPNNs	76
Building a right digital twin with model engineering	76
A survey on decision-making based on system reliability in the context of Industry 4.0	76
A Review on Recent Advances in Vision-based Defect Recognition towards Industrial Intelligence	74
A Digital Twin approach based on nonparametric Bayesian network for complex system health monitoring	73
Reinforcement learning for facilitating human-robot-interaction in manufacturing	72
Remaining Useful Life prediction and challenges: A literature review on the use of Machine Learning Methods	72
A generic methodology and a digital twin for zero defect manufacturing (ZDM) performance mapping towards design for ZDM	72
Prediction maintenance integrated decision-making approach supported by digital twin-driven cooperative awareness and interconnection framework	71
Digital twin-based assembly data management and process traceability for complex products	70
Worker assistance systems in manufacturing: A review of the state of the art and future directions	69
Digital twin-driven service model and optimal allocation of manufacturing resources in shared manufacturing	69
Conceptual digital twin modeling based on an integrated five-dimensional framework and TRIZ function model	69
Digital Twin-driven machining process for thin-walled part manufacturing	68
Digital twin for cutting tool: Modeling, application and service strategy	68
A supply chain disruption recovery strategy considering product change under COVID-19	68
Automated manufacturing system discovery and digital twin generation	68
Designing human-robot collaboration (HRC) workspaces in industrial settings: A systematic literature review	67
Eco-friendly additive manufacturing of metals: Energy efficiency and life cycle analysis	67
Intelligent tool wear monitoring and multi-step prediction based on deep learning model	66
Adoption of machine learning technology for failure prediction in industrial maintenance: A systematic review	66
Transferable two-stream convolutional neural network for human action recognition	66
Multi-agent system and reinforcement learning approach for distributed intelligence in a flexible smart manufacturing system	65

Deep multi-scale adversarial network with attention: A novel domain adaptation method for intelligent fault diagnosis	63
Towards edge computing in intelligent manufacturing: Past, present and future	62
Deep learning-empowered digital twin for visualized weld joint growth monitoring and penetration control	62
A futuristic perspective on human-centric assembly	62
Reinforcement learning for combined production-maintenance and quality control of a manufacturing system with deterioration failures	61
Multi-objective partial parallel disassembly line balancing problem using hybrid group neighbourhood search algorithm	61
Greedy randomized adaptive search for dynamic flexible job-shop scheduling	60
Digital-twin-driven geometric optimization of centrifugal impeller with free-form blades for five-axis flank milling	60
Human centric platforms for personalized value creation in metaverse	59
Smart manufacturing scheduling: A literature review	59
A multi-scale modeling method for digital twin shop-floor	58
Using augmented reality to build digital twin for reconfigurable additive manufacturing system	58
Intelligent tool wear monitoring based on parallel residual and stacked bidirectional long short-term memory network	58
A digital twin-based flexible cellular manufacturing for optimization of air conditioner line	57
A digital twin-driven human-robot collaborative assembly approach in the wake of COVID-19	56
Remaining useful life prediction of bearing based on stacked autoencoder and recurrent neural network	56
Self-organizing manufacturing network: A paradigm towards smart manufacturing in mass personalization	56
Prognostic study of ball screws by ensemble data-driven particle filters	55
Machine learning for anomaly detection and process phase classification to improve safety and maintenance activities	55
Digital twin and blockchain enhanced smart manufacturing service collaboration and management	55
Toward cognitive predictive maintenance: A survey of graph-based approaches	54
End to end multi-task learning with attention for multi-objective fault diagnosis under small sample	53
Applications of additive manufacturing (AM) in sustainable energy generation and battle against COVID-19 pandemic: The knowledge evolution of 3D printing	52
Digital Twin Based Real-time Production Logistics Synchronization System in a Multi-level Computing Architecture	52
A general approach for the machining quality evaluation of S-shaped specimen based on POS-SQP algorithm and Monte Carlo method	52
Smart manufacturing powered by recent technological advancements: A review	52
Model review and algorithm comparison on multi-objective disassembly line balancing	52
Towards trustworthy rotating machinery fault diagnosis via attention uncertainty in transformer	52
Digital twin-based industrial cloud robotics: Framework, control approach and implementation	51
Preventive replacement policies with time of operations, mission durations, minimal repairs and maintenance triggering approaches	50
Spindle thermal error prediction approach based on thermal infrared images: A deep learning method	50
A sample entropy based prognostics method for lithium-ion batteries using relevance vector machine	50
A multi-attribute personalized recommendation method for manufacturing service composition with combining collaborative filtering and genetic algorithm	50
Anomaly monitoring improves remaining useful life estimation of industrial machinery	50
Real-time defect identification of narrow overlap welds and application based on convolutional neural networks	50
Physics-informed meta learning for machining tool wear prediction	50
Application of automation for in-line quality inspection, a zero-defect manufacturing approach	50
A novel approach to CNC machining center processing parameters optimization considering energy-saving and low-cost	49
A joint classification-regression method for multi-stage remaining useful life prediction	49
Consistency retention method for CNC machine tool digital twin model	48
Comprehensive review on various additive manufacturing techniques and its implementation in electronic devices	48
Fault detection based on one-class deep learning for manufacturing applications limited to an imbalanced database	48
Flexible business strategies to enhance resilience in manufacturing supply chains: An empirical study	48
Temporal convolutional network with soft thresholding and attention mechanism for machinery prognostics	48
Real-time integrated production-scheduling and maintenance-planning in a flexible job shop with machine deterioration and condition-based maintenance	48
Disruption management in a constrained multi-product imperfect production system	47
Application of integrated recurrent neural network with multivariate adaptive regression splines on SPC-EPC process	47
Hybrid physics-based and data-driven models for smart manufacturing: Modelling, simulation, and explainability	47
The rise of 3D Printing entangled with smart computer aided design during COVID-19 era	46
Intelligent scheduling of a feature-process-machine tool supernetwork based on digital twin workshop	46
Intelligent manufacturing execution systems: A systematic review	46
Deep learning methods for object detection in smart manufacturing: A survey	45
Decision support for the implementation of Industry 4.0 methods: Toolbox, Assessment and Implementation Sequences for Industry 4.0	45
Extending the lean value stream mapping to the context of Industry 4.0: An agent-based technology approach	44
A spiking neural network-based approach to bearing fault diagnosis	44
Maturity assessment for Industry 5.0: A review of existing maturity models	44
Reconfiguring and ramping-up ventilator production in the face of COVID-19: Can robots help?	44
Digital twin enhanced fault prediction for the autoclave with insufficient data	43
Cloud-edge orchestration-based bi-level autonomous process control for mass individualization of rapid printed circuit boards prototyping services	43
Supporting disassembly processes through simulation tools: A systematic literature review with a focus on printed circuit boards	43
A review of digital twin-driven machining: From digitization to intellectualization	42
Classification and regression models of audio and vibration signals for machine state monitoring in precision machining systems	42
Optimizing task scheduling in human-robot collaboration with deep multi-agent reinforcement learning	42
Intelligent fault diagnosis of mechanical equipment under varying working condition via iterative matching network augmented with selective Signal reuse strategy	42
Tool wear monitoring of TC4 titanium alloy milling process based on multi-channel signal and time-dependent properties by using deep learning	42
Secure sharing of big digital twin data for smart manufacturing based on blockchain	41
Advanced teleoperation and control system for industrial robots based on augmented virtuality and haptic feedback	40
Industrial data management strategy towards an SME-oriented PHM	40
Construction method of shop-floor digital twin based on MBSE	40
AKSNet: A novel convolutional neural network with adaptive kernel width and sparse regularization for machinery fault diagnosis	40
A hybrid Jaya algorithm for solving flexible job shop scheduling problem considering multiple critical paths	40
Enabling predictive maintenance integrated production scheduling by operation-specific health prognostics with generative deep learning	39
Role of additive manufacturing in medical application COVID-19 scenario: India case study	39
In-situ point cloud fusion for layer-wise monitoring of additive manufacturing	39
A multi-access edge computing enabled framework for the construction of a knowledge-sharing intelligent machine tool swarm in Industry 4.0	38
Flexible job shop scheduling problem under Industry 5.0: A survey on human reintegration, environmental consideration and resilience improvement	37
A hybrid deep learning model of process-build interactions in additive manufacturing	37
Bi-level dynamic scheduling architecture based on service unit digital twin agents	37
Intelligent fault identification of rotary machinery using refined composite multi-scale Lempel–Ziv complexity	37
Event-driven tool condition monitoring methodology considering tool life prediction based on industrial internet	37

Optimizing smart manufacturing systems by extending the smart products paradigm to the beginning of life	36
Utilizing uncertainty information in remaining useful life estimation via Bayesian neural networks and Hamiltonian Monte Carlo	36
New integration of preventive maintenance and production planning with cell formation and group scheduling for dynamic cellular manufacturing systems	36
A digital twin-based approach for the management of geometrical deviations during assembly processes	36
A predictive maintenance model for optimizing production schedule using deep neural networks	36
A multi-branch deep neural network model for failure prognostics based on multimodal data	36
Assessment of the automation potential of electric vehicle battery disassembly	35
A New assembly precision prediction method of aeroengine high-pressure rotor system considering manufacturing error and deformation of parts	35
A review of in-situ monitoring and process control system in metal-based laser additive manufacturing	35
Multi-objective optimisation of machining process parameters using deep learning-based data-driven genetic algorithm and TOPSIS	35
Reverse logistics network design for product reuse, remanufacturing, recycling and refurbishing under uncertainty	35
Semi-supervised multi-scale attention-aware graph convolution network for intelligent fault diagnosis of machine under extremely-limited labeled samples	35
A utility-based matching mechanism for stable and optimal resource allocation in cloud manufacturing platforms using deferred acceptance algorithm	35
Federated learning-based semantic segmentation for pixel-wise defect detection in additive manufacturing	35
Digital twin-driven optimization of gas exchange system of 2-stroke heavy fuel aircraft engine	34
Manufacturing cost estimation based on the machining process and deep-learning method	34
An improved genetic algorithm for flexible job shop scheduling problem considering reconfigurable machine tools with limited auxiliary modules	34
An extended model for remaining time prediction in manufacturing systems using process mining	34
An experimental study on augmented reality assisted manual assembly with occluded components	34
Securing IIoT using Defence-in-Depth: Towards an End-to-End secure Industry 4.0	34
The three paradigms of manufacturing advancement	34
Making costly manufacturing smart with transfer learning under limited data: A case study on composites autoclave processing	34
Incorporating customer personalization preferences in open product architecture design	33
Thermal error prediction for heavy-duty CNC machines enabled by long short-term memory networks and fog-cloud architecture	33
Maintenance costs and makespan minimization for assembly permutation flow shop scheduling by considering preventive and corrective maintenance	32
Digital twin improved via visual question answering for vision-language interactive mode in human–machine collaboration	32
Evaluating the interactions of multi-dimensional value for sustainable product-service system with grey DEMATEL-ANP approach	31
A digital thread-driven distributed collaboration mechanism between digital twin manufacturing units	31
Multi-objective optimization of the textile manufacturing process using deep-Q-network based multi-agent reinforcement learning	31
Intelligent feature recognition for STEP-NC-compliant manufacturing based on artificial bee colony algorithm and back propagation neural network	31
Sound-based remote real-time multi-device operational monitoring system using a Convolutional Neural Network (CNN)	31
Flow-shop path planning for multi-automated guided vehicles in intelligent textile spinning cyber-physical production systems dynamic environment	30
Optimisation of mixed-model assembly line balancing problem under uncertain demand	30
Energy-oriented joint optimization of machine maintenance and tool replacement in sustainable manufacturing	30
Cyber-physical assembly system-based optimization for robotic assembly sequence planning	30
Review on additive manufacturing and non-destructive testing	30
Framework for manufacturing-tasks semantic modelling and manufacturing-resource recommendation for digital twin shop-floor	30
Multi-sensing signals diagnosis and CNN-based detection of porosity defect during Al alloys laser welding	29
Introducing autonomous aerial robots in industrial manufacturing	29
Towards IoT-enabled dynamic service optimal selection in multiple manufacturing clouds	29
An optimisation model for the dynamic management of cellular reconfigurable manufacturing systems under auxiliary module availability constraints	29
A new ensemble convolutional neural network with diversity regularization for fault diagnosis	29
Establishing a reliable mechanism model of the digital twin machining system: An adaptive evaluation network approach	29
Human acceptance evaluation of AR-assisted assembly scenarios	28
A production and distribution planning of perishable products with a fixed lifetime under vertical competition in the seller-buyer systems: A real-world application	28
Deep reinforcement learning for a color-batching resequencing problem	28
A Pareto-discrete hummingbird algorithm for partial sequence-dependent disassembly line balancing problem considering tool requirements	28
A fast decision-making method for process planning with dynamic machining resources via deep reinforcement learning	28
Lagrangian heuristic algorithm for green multi-product production routing problem with reverse logistics and remanufacturing	28
Opportunistic maintenance scheduling with deep reinforcement learning	28
Harmonizing ergonomics and economics of assembly lines using collaborative robots and exoskeletons	28
Position-oriented process monitoring in milling of thin-walled parts	27
Digital twin towards smart manufacturing and industry 4.0	27
Multitask-oriented manufacturing service composition in an uncertain environment using a hyper-heuristic algorithm	27
Human-robot collaboration empowered by hidden semi-Markov model for operator behaviour prediction in a smart assembly system	27
Current development on the Operator 4.0 and transition towards the Operator 5.0: A systematic literature review in light of Industry 5.0	27
A multi-level adaptation scheme for hierarchical bearing fault diagnosis under variable working conditions	27
Feature-based quality classification for ultrasonic welding of carbon fiber reinforced polymer through Bayesian regularized neural network	27
Evolutionary optimization using epsilon method for resource-constrained multi-robotic disassembly line balancing	27
Disassembly sequence planning using a Flatworm algorithm	27