Journal of Manufacturing Systems

Article	Citations
Review of digital twin about concepts, technologies, and industrial applications	492
Enabling technologies and tools for digital twin	454
Industry 4.0 and Industry 5.0—Inception, conception and perception	389
Metal additive manufacturing in the commercial aviation industry: A review	274
Digital twins-based smart manufacturing system design in Industry 4.0: A review	212
Smart manufacturing process and system automation – A critical review of the standards and envisioned scenarios	203
Big data and stream processing platforms for Industry 4.0 requirements mapping for a predictive maintenance use case	171
A review on wire arc additive manufacturing: Monitoring, control and a framework of automated system	157
Automated guided vehicle systems, state-of-the-art control algorithms and techniques	154
Cyber-physical systems architectures for industrial internet of things applications in Industry 4.0: A literature review	152
Digital twin-based designing of the configuration, motion, control, and optimization model of a flow-type smart manufacturing system	147
Intelligent welding system technologies: State-of-the-art review and perspectives	133
Digital Twin Enhanced Dynamic Job-Shop Scheduling	124
A human-in-the-loop manufacturing control architecture for the next generation of production systems	122
Blockchain-based data management for digital twin of product	119
A literature survey of the robotic technologies during the COVID-19 pandemic	116
Digital twin modeling method based on biomimicry for machining aerospace components	114
Unsupervised domain-share CNN for machine fault transfer diagnosis from steady speeds to time-varying speeds	113
Outlook on human-centric manufacturing towards Industry 5.0	109
Industry 4.0 smart reconfigurable manufacturing machines	109
Automated defect inspection system for metal surfaces based on deep learning and data augmentation	107
A digital twin to train deep reinforcement learning agent for smart manufacturing plants: Environment, interfaces and intelligence	106
Artificial intelligence and internet of things in small and medium-sized enterprises: A survey	102
A review on the characteristics of cyber-physical systems for the future smart factories	101
Industry 5.0: Prospect and retrospect	101

Big data analytics for intelligent manufacturing systems: A review	99
Digital twin-based smart assembly process design and application framework for complex products and its case study	98
Petri-net-based dynamic scheduling of flexible manufacturing system via deep reinforcement learning with graph convolutional network	95
Digital twin modeling	94
Physics guided neural network for machining tool wear prediction	91
Towards multi-model approaches to predictive maintenance: A systematic literature survey on diagnostics and prognostics	90
Smart augmented reality instructional system for mechanical assembly towards worker-centered intelligent manufacturing	88
Health indicator construction of machinery based on end-to-end trainable convolution recurrent neural networks	81
Remote human–robot collaboration: A cyber–physical system application for hazard manufacturing environment	80
Past, present, and future barriers to digital transformation in manufacturing: A review	78
How to model and implement connections between physical and virtual models for digital twin application	77
Real-time penetration state monitoring using convolutional neural network for laser welding of tailor rolled blanks	76
Industry 5.0 and Society 5.0—Comparison, complementation and co-evolution	75
Application of sensing techniques and artificial intelligence-based methods to laser welding real-time monitoring: A critical review of recent literature	74
MES-integrated digital twin frameworks	72
Systematic literature review on augmented reality in smart manufacturing: Collaboration between human and computational intelligence	72
Additive manufacturing and the COVID-19 challenges: An in-depth study	69
A digital-twin visualized architecture for Flexible Manufacturing System	68
A knowledge-based Digital Shadow for machining industry in a Digital Twin perspective	68
A digital twin-enhanced system for engineering product family design and optimization	68
Toward in-situ flaw detection in laser powder bed fusion additive manufacturing through layerwise imagery and machine learning	67
A digital twin-based big data virtual and real fusion learning reference framework supported by industrial internet towards smart manufacturing	65
Towards Self-X cognitive manufacturing network: An industrial knowledge graph-based multi-agent reinforcement learning approach	65
New Paradigm of Data-Driven Smart Customisation through Digital Twin	64
Fault detection and diagnostic method of diesel engine by combining rule-based algorithm and BNs/BPNNs	64
A survey on decision-making based on system reliability in the context of Industry 4.0	63
A novel deep convolutional neural network-bootstrap integrated method for RUL prediction of rolling bearing	63
Digital twin and cloud-side-end collaboration for intelligent battery management system	63
Applications of virtual reality in maintenance during the industrial product lifecycle: A systematic review	62
Designing a closed-loop supply chain network for citrus fruits crates considering environmental and economic issues	62
Towards proactive human–robot collaboration: A foreseeable cognitive manufacturing paradigm	61
Digital Twin-enabled Collaborative Data Management for Metal Additive Manufacturing Systems	61
Attitude data-based deep hybrid learning architecture for intelligent fault diagnosis of multi-joint industrial robots	60
Data Construction Method for the Applications of Workshop Digital Twin System	60
Decentralized cloud manufacturing-as-a-service (CMaaS) platform architecture with configurable digital assets	59
Deep learning-based adversarial multi-classifier optimization for cross-domain machinery fault diagnostics	58
Building a right digital twin with model engineering	57
Toward human-centric smart manufacturing: A human-cyber-physical systems (HCPS) perspective	56
A Compact Convolutional Neural Network Augmented with Multiscale Feature Extraction of Acquired Monitoring Data for Mechanical Intelligent Fault Diagnosis	55
Digital Twin-driven online anomaly detection for an automation system based on edge intelligence	55
Worker assistance systems in manufacturing: A review of the state of the art and future directions	54
Modeling and implementation of a digital twin of material flows based on physics simulation	54
Machine learning for metal additive manufacturing: Towards a physics-informed data-driven paradigm	53
Digital twin for cutting tool: Modeling, application and service strategy	52
Digital twin-driven service model and optimal allocation of manufacturing resources in shared manufacturing	52
How to integrate additive manufacturing technologies into manufacturing systems successfully: A perspective from the commercial vehicle industry	52
A Digital Twin approach based on nonparametric Bayesian network for complex system health monitoring	52
A generic methodology and a digital twin for zero defect manufacturing (ZDM) performance mapping towards design for ZDM	52
Transferable two-stream convolutional neural network for human action recognition	51
Reinforcement learning for facilitating human-robot-interaction in manufacturing	51

Prediction maintenance integrated decision-making approach supported by digital twin-driven cooperative awareness and interconnection framework	51
Deep multi-scale adversarial network with attention: A novel domain adaptation method for intelligent fault diagnosis	50
Reinforcement learning for combined production-maintenance and quality control of a manufacturing system with deterioration failures	50
An approximate nondominated sorting genetic algorithm to integrate optimization of production scheduling and accurate maintenance based on reliability intervals	50
Online detection of bearing incipient fault with semi-supervised architecture and deep feature representation	49
Conceptual digital twin modeling based on an integrated five-dimensional framework and TRIZ function model	48
A supply chain disruption recovery strategy considering product change under COVID-19	48
Preventive replacement policies with time of operations, mission durations, minimal repairs and maintenance triggering approaches	47
Digital Twin-driven machining process for thin-walled part manufacturing	47
Deep learning-empowered digital twin for visualized weld joint growth monitoring and penetration control	47
A general approach for the machining quality evaluation of S-shaped specimen based on POS-SQP algorithm and Monte Carlo method	47
Digital twin-based assembly data management and process traceability for complex products	47
Mixed reality-based user interface for quality control inspection of car body surfaces	45
Greedy randomized adaptive search for dynamic flexible job-shop scheduling	45
Adoption of machine learning technology for failure prediction in industrial maintenance: A systematic review	45
Multi-agent system and reinforcement learning approach for distributed intelligence in a flexible smart manufacturing system	45
Smart manufacturing scheduling: A literature review	44
Using augmented reality to build digital twin for reconfigurable additive manufacturing system	44
Semantic communications between distributed cyber-physical systems towards collaborative automation for smart manufacturing	44
Disruption management in a constrained multi-product imperfect production system	43
A digital twin-driven human-robot collaborative assembly approach in the wake of COVID-19	43
A Review on Recent Advances in Vision-based Defect Recognition towards Industrial Intelligence	43
Digital-twin-driven geometric optimization of centrifugal impeller with free-form blades for five-axis flank milling	43
Eco-friendly additive manufacturing of metals: Energy efficiency and life cycle analysis	42
State-of-the-art of selective laser melting process: A comprehensive review	42
Intelligent tool wear monitoring and multi-step prediction based on deep learning model	42
Automated manufacturing system discovery and digital twin generation	42
A digital twin-based flexible cellular manufacturing for optimization of air conditioner line	42
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	42
A novel approach to CNC machining center processing parameters optimization considering energy-saving and low-cost	41
Multi-objective particle swarm optimization for multi-workshop facility layout problem	41
Fault detection based on one-class deep learning for manufacturing applications limited to an imbalanced database	39
Digital twin-based industrial cloud robotics: Framework, control approach and implementation	39
Consistency retention method for CNC machine tool digital twin model	39
Anomaly monitoring improves remaining useful life estimation of industrial machinery	38
The biological transformation of industrial manufacturing – Technologies, status and scenarios for a sustainable future of the German manufacturing industry	38
Prognostic study of ball screws by ensemble data-driven particle filters	38
A generic hierarchical clustering approach for detecting bottlenecks in manufacturing	38
A futuristic perspective on human-centric assembly	38
Machine learning for anomaly detection and process phase classification to improve safety and maintenance activities	38
Remaining useful life prediction of bearing based on stacked autoencoder and recurrent neural network	37
Mathematical modeling and a hybridized bacterial foraging optimization algorithm for the flexible job-shop scheduling problem with sequencing flexibility	37
Application of integrated recurrent neural network with multivariate adaptive regression splines on SPC-EPC process	37
Intelligent scheduling of a feature-process-machine tool supernetwork based on digital twin workshop	37
Decision support for the implementation of Industry 4.0 methods: Toolbox, Assessment and Implementation Sequences for Industry 4.0	37
The rise of 3D Printing entangled with smart computer aided design during COVID-19 era	37
Towards edge computing in intelligent manufacturing: Past, present and future	37
Applications of additive manufacturing (AM) in sustainable energy generation and battle against COVID-19 pandemic: The knowledge evolution of 3D printing	36
A joint classification-regression method for multi-stage remaining useful life prediction	36
A sample entropy based prognostics method for lithium-ion batteries using relevance vector machine	36
Multi-objective partial parallel disassembly line balancing problem using hybrid group neighbourhood search algorithm	36
Spatio-Temporal Adaptive Sampling for effective coverage measurement planning during quality inspection of free form surfaces using robotic 3D optical scanner	35
Intelligent fault diagnosis of mechanical equipment under varying working condition via iterative matching network augmented with selective Signal reuse strategy	35
Flexible business strategies to enhance resilience in manufacturing supply chains: An empirical study	35
Model review and algorithm comparison on multi-objective disassembly line balancing	35
Repetitive assembly action recognition based on object detection and pose estimation	34
Supporting disassembly processes through simulation tools: A systematic literature review with a focus on printed circuit boards	34
Designing human-robot collaboration (HRC) workspaces in industrial settings: A systematic literature review	34
Self-organizing manufacturing network: A paradigm towards smart manufacturing in mass personalization	34
Intelligent tool wear monitoring based on parallel residual and stacked bidirectional long short-term memory network	34
Real-time defect identification of narrow overlap welds and application based on convolutional neural networks	33
Spindle thermal error prediction approach based on thermal infrared images: A deep learning method	33
Resource management in decentralized industrial Automated Guided Vehicle systems	33
Digital twin and blockchain enhanced smart manufacturing service collaboration and management	33
A cost-driven process planning method for hybrid additive–subtractive remanufacturing	33
Role of additive manufacturing in medical application COVID-19 scenario: India case study	33
Event-driven tool condition monitoring methodology considering tool life prediction based on industrial internet	33
A service-oriented dynamic multi-level maintenance grouping strategy based on prediction information of multi-component systems	33
Digital Twin Based Real-time Production Logistics Synchronization System in a Multi-level Computing Architecture	33
A utility-based matching mechanism for stable and optimal resource allocation in cloud manufacturing platforms using deferred acceptance algorithm	32
Classification and regression models of audio and vibration signals for machine state monitoring in precision machining systems	32
Temporal convolutional network with soft thresholding and attention mechanism for machinery prognostics	32
Reconfiguring and ramping-up ventilator production in the face of COVID-19: Can robots help?	32
A multi-scale modeling method for digital twin shop-floor	32
Digital twin enhanced fault prediction for the autoclave with insufficient data	31
Manufacturing cost estimation based on a deep-learning method	31
Industrial data management strategy towards an SME-oriented PHM	31
A multi-attribute personalized recommendation method for manufacturing service composition with combining collaborative filtering and genetic algorithm	31
Advanced teleoperation and control system for industrial robots based on augmented virtuality and haptic feedback	30
Enabling predictive maintenance integrated production scheduling by operation-specific health prognostics with generative deep learning	30

Tool wear monitoring of TC4 titanium alloy milling process based on multi-channel signal and time-dependent properties by using deep learning	30
A fault-tolerant control strategy for multiple automated guided vehicles	30
SME-oriented flexible design approach for robotic manufacturing systems	30
Extending the lean value stream mapping to the context of Industry 4.0: An agent-based technology approach	29
Manufacturing cost estimation based on the machining process and deep-learning method	29
A spiking neural network-based approach to bearing fault diagnosis	29
An extended model for remaining time prediction in manufacturing systems using process mining	29
Real-time integrated production-scheduling and maintenance-planning in a flexible job shop with machine deterioration and condition-based maintenance	29
AKSNet: A novel convolutional neural network with adaptive kernel width and sparse regularization for machinery fault diagnosis	29
Challenges and opportunities on AR/VR technologies for manufacturing systems in the context of industry 4.0: A state of the art review	29
Bi-level dynamic scheduling architecture based on service unit digital twin agents	28
Remaining Useful Life prediction and challenges: A literature review on the use of Machine Learning Methods	28
New integration of preventive maintenance and production planning with cell formation and group scheduling for dynamic cellular manufacturing systems	28
Dynamic Routing-based Multimodal Neural Network for Multi-sensory Fault Diagnosis of Induction Motor	28
End to end multi-task learning with attention for multi-objective fault diagnosis under small sample	28
Digital twin-driven optimization of gas exchange system of 2-stroke heavy fuel aircraft engine	28
Comprehensive review on various additive manufacturing techniques and its implementation in electronic devices	28
Cloud-edge orchestration-based bi-level autonomous process control for mass individualization of rapid printed circuit boards prototyping services	28
Imperfect corrective maintenance scheduling for energy efficient manufacturing systems through online task allocation method	28
Proactive maintenance scheduling in consideration of imperfect repairs and production wait time	28
A hybrid Jaya algorithm for solving flexible job shop scheduling problem considering multiple critical paths	28
Securing IIoT using Defence-in-Depth: Towards an End-to-End secure Industry 4.0	27
Physics-informed meta learning for machining tool wear prediction	27
Toward cognitive predictive maintenance: A survey of graph-based approaches	27
Optimizing smart manufacturing systems by extending the smart products paradigm to the beginning of life	27
Lagrangian heuristic algorithm for green multi-product production routing problem with reverse logistics and remanufacturing	27
The three paradigms of manufacturing advancement	27
A multi-branch deep neural network model for failure prognostics based on multimodal data	26
A hybrid deep learning model of process-build interactions in additive manufacturing	26
Intelligent manufacturing execution systems: A systematic review	26
Application of system dynamics for analysis of performance of manufacturing systems	26
Optimizing task scheduling in human-robot collaboration with deep multi-agent reinforcement learning	26
Decomposition-based bi-objective optimization for sustainable robotic assembly line balancing problems	26
An optimisation model for the dynamic management of cellular reconfigurable manufacturing systems under auxiliary module availability constraints	26
Sound-based remote real-time multi-device operational monitoring system using a Convolutional Neural Network (CNN)	25
Discrete event-driven model predictive control for real-time work-in-process optimization in serial production systems	25
Making costly manufacturing smart with transfer learning under limited data: A case study on composites autoclave processing	25
Utilizing uncertainty information in remaining useful life estimation via Bayesian neural networks and Hamiltonian Monte Carlo	25
Digital twin improved via visual question answering for vision-language interactive mode in human–machine collaboration	25