Journal of Manufacturing Systems

Article	Citations
Review of digital twin about concepts, technologies, and industrial applications	707
Industry 4.0 and Industry 5.0—Inception, conception and perception	700
Enabling technologies and tools for digital twin	594
Digital twins-based smart manufacturing system design in Industry 4.0: A review	296
Smart manufacturing process and system automation – A critical review of the standards and envisioned scenarios	259
Industry 5.0: Prospect and retrospect	242
Digital twin modeling	214
Cyber-physical systems architectures for industrial internet of things applications in Industry 4.0: A literature review	212
A review on wire arc additive manufacturing: Monitoring, control and a framework of automated system	206
Outlook on human-centric manufacturing towards Industry 5.0	187
Intelligent welding system technologies: State-of-the-art review and perspectives	180
Digital twin-based designing of the configuration, motion, control, and optimization model of a flow-type smart manufacturing system	175
Digital Twin Enhanced Dynamic Job-Shop Scheduling	159
Big data analytics for intelligent manufacturing systems: A review	156
Artificial intelligence and internet of things in small and medium-sized enterprises: A survey	152
A literature survey of the robotic technologies during the COVID-19 pandemic	149
Industry 5.0 and Society 5.0—Comparison, complementation and co-evolution	149
Digital twin modeling method based on biomimicry for machining aerospace components	148
Unsupervised domain-share CNN for machine fault transfer diagnosis from steady speeds to time-varying speeds	148
Industry 4.0 smart reconfigurable manufacturing machines	146
Automated defect inspection system for metal surfaces based on deep learning and data augmentation	138
A digital twin to train deep reinforcement learning agent for smart manufacturing plants: Environment, interfaces and intelligence	134
Digital twin-based smart assembly process design and application framework for complex products and its case study	130
Physics guided neural network for machining tool wear prediction	124
Past, present, and future barriers to digital transformation in manufacturing: A review	123

Smart augmented reality instructional system for mechanical assembly towards worker-centered intelligent manufacturing	115
Towards multi-model approaches to predictive maintenance: A systematic literature survey on diagnostics and prognostics	113
Petri-net-based dynamic scheduling of flexible manufacturing system via deep reinforcement learning with graph convolutional network	109
Toward human-centric smart manufacturing: A human-cyber-physical systems (HCPS) perspective	100
How to model and implement connections between physical and virtual models for digital twin application	100
A novel deep convolutional neural network-bootstrap integrated method for RUL prediction of rolling bearing	99
Systematic literature review on augmented reality in smart manufacturing: Collaboration between human and computational intelligence	95
Application of sensing techniques and artificial intelligence-based methods to laser welding real-time monitoring: A critical review of recent literature	94
Toward in-situ flaw detection in laser powder bed fusion additive manufacturing through layerwise imagery and machine learning	93
State-of-the-art of selective laser melting process: A comprehensive review	93
Digital twin and cloud-side-end collaboration for intelligent battery management system	92
Towards Self-X cognitive manufacturing network: An industrial knowledge graph-based multi-agent reinforcement learning approach	92
MES-integrated digital twin frameworks	89
Towards proactive human–robot collaboration: A foreseeable cognitive manufacturing paradigm	88
A digital-twin visualized architecture for Flexible Manufacturing System	88
New Paradigm of Data-Driven Smart Customisation through Digital Twin	85
Additive manufacturing and the COVID-19 challenges: An in-depth study	83
Applications of virtual reality in maintenance during the industrial product lifecycle: A systematic review	82
A digital twin-enhanced system for engineering product family design and optimization	82
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	82
Digital Twin-enabled Collaborative Data Management for Metal Additive Manufacturing Systems	81
A knowledge-based Digital Shadow for machining industry in a Digital Twin perspective	81
Data Construction Method for the Applications of Workshop Digital Twin System	80
Modeling and implementation of a digital twin of material flows based on physics simulation	79
A digital twin-based big data virtual and real fusion learning reference framework supported by industrial internet towards smart manufacturing	79
Machine learning for metal additive manufacturing: Towards a physics-informed data-driven paradigm	78
Designing a closed-loop supply chain network for citrus fruits crates considering environmental and economic issues	77
Attitude data-based deep hybrid learning architecture for intelligent fault diagnosis of multi-joint industrial robots	75
Decentralized cloud manufacturing-as-a-service (CMaaS) platform architecture with configurable digital assets	75
A survey on decision-making based on system reliability in the context of Industry 4.0	75
Digital Twin-driven online anomaly detection for an automation system based on edge intelligence	74
Fault detection and diagnostic method of diesel engine by combining rule-based algorithm and BNs/BPNNs	74
Building a right digital twin with model engineering	73
A Digital Twin approach based on nonparametric Bayesian network for complex system health monitoring	72
Challenges and opportunities on AR/VR technologies for manufacturing systems in the context of industry 4.0: A state of the art review	72
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	68
Automated manufacturing system discovery and digital twin generation	68
A Review on Recent Advances in Vision-based Defect Recognition towards Industrial Intelligence	68
A generic methodology and a digital twin for zero defect manufacturing (ZDM) performance mapping towards design for ZDM	67
Digital twin-based assembly data management and process traceability for complex products	66
Prediction maintenance integrated decision-making approach supported by digital twin-driven cooperative awareness and interconnection framework	66
Reinforcement learning for facilitating human-robot-interaction in manufacturing	66
Eco-friendly additive manufacturing of metals: Energy efficiency and life cycle analysis	66
A Compact Convolutional Neural Network Augmented with Multiscale Feature Extraction of Acquired Monitoring Data for Mechanical Intelligent Fault Diagnosis	65
Digital twin for cutting tool: Modeling, application and service strategy	65
Deep learning-based adversarial multi-classifier optimization for cross-domain machinery fault diagnostics	65
Adoption of machine learning technology for failure prediction in industrial maintenance: A systematic review	64
Conceptual digital twin modeling based on an integrated five-dimensional framework and TRIZ function model	64
Digital Twin-driven machining process for thin-walled part manufacturing	64

Designing human-robot collaboration (HRC) workspaces in industrial settings: A systematic literature review	64
A supply chain disruption recovery strategy considering product change under COVID-19	64
Remaining Useful Life prediction and challenges: A literature review on the use of Machine Learning Methods	63
Intelligent tool wear monitoring and multi-step prediction based on deep learning model	63
Transferable two-stream convolutional neural network for human action recognition	62
Towards edge computing in intelligent manufacturing: Past, present and future	62
Multi-agent system and reinforcement learning approach for distributed intelligence in a flexible smart manufacturing system	61
Digital-twin-driven geometric optimization of centrifugal impeller with free-form blades for five-axis flank milling	60
Deep multi-scale adversarial network with attention: A novel domain adaptation method for intelligent fault diagnosis	60
Reinforcement learning for combined production-maintenance and quality control of a manufacturing system with deterioration failures	60
A futuristic perspective on human-centric assembly	59
Deep learning-empowered digital twin for visualized weld joint growth monitoring and penetration control	58
Online detection of bearing incipient fault with semi-supervised architecture and deep feature representation	57
Greedy randomized adaptive search for dynamic flexible job-shop scheduling	57
Using augmented reality to build digital twin for reconfigurable additive manufacturing system	57
A digital twin-based flexible cellular manufacturing for optimization of air conditioner line	56
Smart manufacturing scheduling: A literature review	56
Multi-objective partial parallel disassembly line balancing problem using hybrid group neighbourhood search algorithm	56
A multi-scale modeling method for digital twin shop-floor	55
Intelligent tool wear monitoring based on parallel residual and stacked bidirectional long short-term memory network	54
Prognostic study of ball screws by ensemble data-driven particle filters	54
A digital twin-driven human-robot collaborative assembly approach in the wake of COVID-19	54
Machine learning for anomaly detection and process phase classification to improve safety and maintenance activities	53
Human centric platforms for personalized value creation in metaverse	53
Self-organizing manufacturing network: A paradigm towards smart manufacturing in mass personalization	53
A general approach for the machining quality evaluation of S-shaped specimen based on POS-SQP algorithm and Monte Carlo method	52
Digital Twin Based Real-time Production Logistics Synchronization System in a Multi-level Computing Architecture	52
Remaining useful life prediction of bearing based on stacked autoencoder and recurrent neural network	52
Semantic communications between distributed cyber-physical systems towards collaborative automation for smart manufacturing	52
Digital twin and blockchain enhanced smart manufacturing service collaboration and management	52
Toward cognitive predictive maintenance: A survey of graph-based approaches	51
Preventive replacement policies with time of operations, mission durations, minimal repairs and maintenance triggering approaches	50
Digital twin-based industrial cloud robotics: Framework, control approach and implementation	50
A sample entropy based prognostics method for lithium-ion batteries using relevance vector machine	50
Anomaly monitoring improves remaining useful life estimation of industrial machinery	49
Model review and algorithm comparison on multi-objective disassembly line balancing	49
A novel approach to CNC machining center processing parameters optimization considering energy-saving and low-cost	49
Applications of additive manufacturing (AM) in sustainable energy generation and battle against COVID-19 pandemic: The knowledge evolution of 3D printing	49
Real-time defect identification of narrow overlap welds and application based on convolutional neural networks	48
Physics-informed meta learning for machining tool wear prediction	48
Flexible business strategies to enhance resilience in manufacturing supply chains: An empirical study	48
Towards trustworthy rotating machinery fault diagnosis via attention uncertainty in transformer	47
End to end multi-task learning with attention for multi-objective fault diagnosis under small sample	47
Fault detection based on one-class deep learning for manufacturing applications limited to an imbalanced database	47
A joint classification-regression method for multi-stage remaining useful life prediction	47
Spindle thermal error prediction approach based on thermal infrared images: A deep learning method	47
A multi-attribute personalized recommendation method for manufacturing service composition with combining collaborative filtering and genetic algorithm	46
Application of integrated recurrent neural network with multivariate adaptive regression splines on SPC-EPC process	46
Consistency retention method for CNC machine tool digital twin model	46
A generic hierarchical clustering approach for detecting bottlenecks in manufacturing	46
Disruption management in a constrained multi-product imperfect production system	46
Hybrid physics-based and data-driven models for smart manufacturing: Modelling, simulation, and explainability	45
Temporal convolutional network with soft thresholding and attention mechanism for machinery prognostics	45
Intelligent scheduling of a feature-process-machine tool supernetwork based on digital twin workshop	45
Comprehensive review on various additive manufacturing techniques and its implementation in electronic devices	45
Smart manufacturing powered by recent technological advancements: A review	45
Intelligent manufacturing execution systems: A systematic review	44
Decision support for the implementation of Industry 4.0 methods: Toolbox, Assessment and Implementation Sequences for Industry 4.0	44
A spiking neural network-based approach to bearing fault diagnosis	44
Real-time integrated production-scheduling and maintenance-planning in a flexible job shop with machine deterioration and condition-based maintenance	44
Extending the lean value stream mapping to the context of Industry 4.0: An agent-based technology approach	43
The rise of 3D Printing entangled with smart computer aided design during COVID-19 era	43
Supporting disassembly processes through simulation tools: A systematic literature review with a focus on printed circuit boards	43
Repetitive assembly action recognition based on object detection and pose estimation	43
Deep learning methods for object detection in smart manufacturing: A survey	42
Maturity assessment for Industry 5.0: A review of existing maturity models	42
Digital twin enhanced fault prediction for the autoclave with insufficient data	42
Application of automation for in-line quality inspection, a zero-defect manufacturing approach	42
Reconfiguring and ramping-up ventilator production in the face of COVID-19: Can robots help?	41
Cloud-edge orchestration-based bi-level autonomous process control for mass individualization of rapid printed circuit boards prototyping services	41
Tool wear monitoring of TC4 titanium alloy milling process based on multi-channel signal and time-dependent properties by using deep learning	41
Intelligent fault diagnosis of mechanical equipment under varying working condition via iterative matching network augmented with selective Signal reuse strategy	41
Optimizing task scheduling in human-robot collaboration with deep multi-agent reinforcement learning	40
Secure sharing of big digital twin data for smart manufacturing based on blockchain	40
Classification and regression models of audio and vibration signals for machine state monitoring in precision machining systems	39
A review of digital twin-driven machining: From digitization to intellectualization	39
Dynamic Routing-based Multimodal Neural Network for Multi-sensory Fault Diagnosis of Induction Motor	39
Advanced teleoperation and control system for industrial robots based on augmented virtuality and haptic feedback	39
Construction method of shop-floor digital twin based on MBSE	38
Industrial data management strategy towards an SME-oriented PHM	38

A hybrid Jaya algorithm for solving flexible job shop scheduling problem considering multiple critical paths	38
AKSNet: A novel convolutional neural network with adaptive kernel width and sparse regularization for machinery fault diagnosis	38
Role of additive manufacturing in medical application COVID-19 scenario: India case study	38
A cost-driven process planning method for hybrid additive–subtractive remanufacturing	37
A multi-access edge computing enabled framework for the construction of a knowledge-sharing intelligent machine tool swarm in Industry 4.0	37
Enabling predictive maintenance integrated production scheduling by operation-specific health prognostics with generative deep learning	37
Event-driven tool condition monitoring methodology considering tool life prediction based on industrial internet	37
A hybrid deep learning model of process-build interactions in additive manufacturing	36
Intelligent fault identification of rotary machinery using refined composite multi-scale Lempel–Ziv complexity	36
In-situ point cloud fusion for layer-wise monitoring of additive manufacturing	36
Bi-level dynamic scheduling architecture based on service unit digital twin agents	35
Optimizing smart manufacturing systems by extending the smart products paradigm to the beginning of life	35
Utilizing uncertainty information in remaining useful life estimation via Bayesian neural networks and Hamiltonian Monte Carlo	35
A utility-based matching mechanism for stable and optimal resource allocation in cloud manufacturing platforms using deferred acceptance algorithm	35
A predictive maintenance model for optimizing production schedule using deep neural networks	34
Federated learning-based semantic segmentation for pixel-wise defect detection in additive manufacturing	34
Flexible job shop scheduling problem under Industry 5.0: A survey on human reintegration, environmental consideration and resilience improvement	34
An extended model for remaining time prediction in manufacturing systems using process mining	34
New integration of preventive maintenance and production planning with cell formation and group scheduling for dynamic cellular manufacturing systems	34
A multi-branch deep neural network model for failure prognostics based on multimodal data	34
The three paradigms of manufacturing advancement	34
Reverse logistics network design for product reuse, remanufacturing, recycling and refurbishing under uncertainty	34
Manufacturing cost estimation based on the machining process and deep-learning method	34
Digital twin-driven optimization of gas exchange system of 2-stroke heavy fuel aircraft engine	33
A digital twin-based approach for the management of geometrical deviations during assembly processes	33
A fault-tolerant control strategy for multiple automated guided vehicles	33
Multi-objective optimisation of machining process parameters using deep learning-based data-driven genetic algorithm and TOPSIS	33
Discrete event-driven model predictive control for real-time work-in-process optimization in serial production systems	33
An improved genetic algorithm for flexible job shop scheduling problem considering reconfigurable machine tools with limited auxiliary modules	32
Decomposition-based bi-objective optimization for sustainable robotic assembly line balancing problems	32
An experimental study on augmented reality assisted manual assembly with occluded components	32
Thermal error prediction for heavy-duty CNC machines enabled by long short-term memory networks and fog-cloud architecture	32
A New assembly precision prediction method of aeroengine high-pressure rotor system considering manufacturing error and deformation of parts	32
Securing IIoT using Defence-in-Depth: Towards an End-to-End secure Industry 4.0	32
Making costly manufacturing smart with transfer learning under limited data: A case study on composites autoclave processing	32
Incorporating customer personalization preferences in open product architecture design	31
Evaluating the interactions of multi-dimensional value for sustainable product-service system with grey DEMATEL-ANP approach	31
Energy-oriented joint optimization of machine maintenance and tool replacement in sustainable manufacturing	30
A digital thread-driven distributed collaboration mechanism between digital twin manufacturing units	30
Assessment of the automation potential of electric vehicle battery disassembly	30
Semi-supervised multi-scale attention-aware graph convolution network for intelligent fault diagnosis of machine under extremely-limited labeled samples	30
Maintenance costs and makespan minimization for assembly permutation flow shop scheduling by considering preventive and corrective maintenance	30
Intelligent feature recognition for STEP-NC-compliant manufacturing based on artificial bee colony algorithm and back propagation neural network	29
Flow-shop path planning for multi-automated guided vehicles in intelligent textile spinning cyber-physical production systems dynamic environment	29
Framework for manufacturing-tasks semantic modelling and manufacturing-resource recommendation for digital twin shop-floor	29
A new ensemble convolutional neural network with diversity regularization for fault diagnosis	29
Sound-based remote real-time multi-device operational monitoring system using a Convolutional Neural Network (CNN)	29
Digital twin improved via visual question answering for vision-language interactive mode in human–machine collaboration	29
Towards IoT-enabled dynamic service optimal selection in multiple manufacturing clouds	29
Review on additive manufacturing and non-destructive testing	29
An optimisation model for the dynamic management of cellular reconfigurable manufacturing systems under auxiliary module availability constraints	29
Human acceptance evaluation of AR-assisted assembly scenarios	28
Optimisation of mixed-model assembly line balancing problem under uncertain demand	28
Multi-objective optimization of the textile manufacturing process using deep-Q-network based multi-agent reinforcement learning	28
Harmonizing ergonomics and economics of assembly lines using collaborative robots and exoskeletons	28
Lagrangian heuristic algorithm for green multi-product production routing problem with reverse logistics and remanufacturing	28
A review of in-situ monitoring and process control system in metal-based laser additive manufacturing	28
Performance evaluation for manufacturing systems under control-limit maintenance policy	27
A production and distribution planning of perishable products with a fixed lifetime under vertical competition in the seller-buyer systems: A real-world application	27
A multi-level adaptation scheme for hierarchical bearing fault diagnosis under variable working conditions	27
Human-robot collaboration empowered by hidden semi-Markov model for operator behaviour prediction in a smart assembly system	27
Cyber-physical assembly system-based optimization for robotic assembly sequence planning	27
Position-oriented process monitoring in milling of thin-walled parts	27
A Pareto-discrete hummingbird algorithm for partial sequence-dependent disassembly line balancing problem considering tool requirements	27
Deep reinforcement learning for a color-batching resequencing problem	27