Journal of Manufacturing Systems

Article	Citations
Industry 4.0 and Industry 5.0—Inception, conception and perception	1000
Review of digital twin about concepts, technologies, and industrial applications	901
Enabling technologies and tools for digital twin	750
Industry 5.0: Prospect and retrospect	414
Digital twin modeling	378
Digital twins-based smart manufacturing system design in Industry 4.0: A review	378
Outlook on human-centric manufacturing towards Industry 5.0	277
Cyber-physical systems architectures for industrial internet of things applications in Industry 4.0: A literature review	265
Industry 5.0 and Society 5.0—Comparison, complementation and co-evolution	230
Big data analytics for intelligent manufacturing systems: A review	218
Artificial intelligence and internet of things in small and medium-sized enterprises: A survey	197
Digital twin-based designing of the configuration, motion, control, and optimization model of a flow-type smart manufacturing system	194
Digital Twin Enhanced Dynamic Job-Shop Scheduling	187
Industry 4.0 smart reconfigurable manufacturing machines	178
Unsupervised domain-share CNN for machine fault transfer diagnosis from steady speeds to time-varying speeds	177
Digital twin modeling method based on biomimicry for machining aerospace components	176
A digital twin to train deep reinforcement learning agent for smart manufacturing plants: Environment, interfaces and intelligence	175
A literature survey of the robotic technologies during the COVID-19 pandemic	170
Past, present, and future barriers to digital transformation in manufacturing: A review	157
Toward human-centric smart manufacturing: A human-cyber-physical systems (HCPS) perspective	153
State-of-the-art of selective laser melting process: A comprehensive review	149
Digital twin-based smart assembly process design and application framework for complex products and its case study	148
Systematic literature review on augmented reality in smart manufacturing: Collaboration between human and computational intelligence	125
How to model and implement connections between physical and virtual models for digital twin application	122
A novel deep convolutional neural network-bootstrap integrated method for RUL prediction of rolling bearing	118

Digital twin and cloud-side-end collaboration for intelligent battery management system	118
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	117
Towards Self-X cognitive manufacturing network: An industrial knowledge graph-based multi-agent reinforcement learning approach	116
Machine learning for metal additive manufacturing: Towards a physics-informed data-driven paradigm	115
A digital-twin visualized architecture for Flexible Manufacturing System	113
Toward in-situ flaw detection in laser powder bed fusion additive manufacturing through layerwise imagery and machine learning	111
Towards proactive human–robot collaboration: A foreseeable cognitive manufacturing paradigm	110
Remaining Useful Life prediction and challenges: A literature review on the use of Machine Learning Methods	110
Challenges and opportunities on AR/VR technologies for manufacturing systems in the context of industry 4.0: A state of the art review	108
A digital twin-based big data virtual and real fusion learning reference framework supported by industrial internet towards smart manufacturing	107
A knowledge-based Digital Shadow for machining industry in a Digital Twin perspective	101
Data Construction Method for the Applications of Workshop Digital Twin System	98
Digital Twin-enabled Collaborative Data Management for Metal Additive Manufacturing Systems	98
Intelligent tool wear monitoring and multi-step prediction based on deep learning model	96
New Paradigm of Data-Driven Smart Customisation through Digital Twin	96
A Review on Recent Advances in Vision-based Defect Recognition towards Industrial Intelligence	93
Designing human-robot collaboration (HRC) workspaces in industrial settings: A systematic literature review	93
Modeling and implementation of a digital twin of material flows based on physics simulation	92
Additive manufacturing and the COVID-19 challenges: An in-depth study	91
Building a right digital twin with model engineering	90
Towards edge computing in intelligent manufacturing: Past, present and future	89
Digital Twin-driven online anomaly detection for an automation system based on edge intelligence	89
A Digital Twin approach based on nonparametric Bayesian network for complex system health monitoring	87
A generic methodology and a digital twin for zero defect manufacturing (ZDM) performance mapping towards design for ZDM	87
Attitude data-based deep hybrid learning architecture for intelligent fault diagnosis of multi-joint industrial robots	85
Towards trustworthy rotating machinery fault diagnosis via attention uncertainty in transformer	83
A futuristic perspective on human-centric assembly	82
Digital Twin-driven machining process for thin-walled part manufacturing	82
Conceptual digital twin modeling based on an integrated five-dimensional framework and TRIZ function model	81
Digital twin-driven service model and optimal allocation of manufacturing resources in shared manufacturing	80
A supply chain disruption recovery strategy considering product change under COVID-19	80
Digital twin for cutting tool: Modeling, application and service strategy	80
Worker assistance systems in manufacturing: A review of the state of the art and future directions	80
Smart manufacturing powered by recent technological advancements: A review	80
Adoption of machine learning technology for failure prediction in industrial maintenance: A systematic review	80
Human centric platforms for personalized value creation in metaverse	79
Prediction maintenance integrated decision-making approach supported by digital twin-driven cooperative awareness and interconnection framework	78
Eco-friendly additive manufacturing of metals: Energy efficiency and life cycle analysis	77
Automated manufacturing system discovery and digital twin generation	76
Smart manufacturing scheduling: A literature review	76
Temporal convolutional network with soft thresholding and attention mechanism for machinery prognostics	75
Digital twin-based assembly data management and process traceability for complex products	75
Intelligent tool wear monitoring based on parallel residual and stacked bidirectional long short-term memory network	74
Toward cognitive predictive maintenance: A survey of graph-based approaches	73
Maturity assessment for Industry 5.0: A review of existing maturity models	73
Application of automation for in-line quality inspection, a zero-defect manufacturing approach	72
Deep multi-scale adversarial network with attention: A novel domain adaptation method for intelligent fault diagnosis	71
A multi-scale modeling method for digital twin shop-floor	70
Self-organizing manufacturing network: A paradigm towards smart manufacturing in mass personalization	70
Digital-twin-driven geometric optimization of centrifugal impeller with free-form blades for five-axis flank milling	70

A digital twin-based flexible cellular manufacturing for optimization of air conditioner line	69
Digital twin-based industrial cloud robotics: Framework, control approach and implementation	69
A digital twin-driven human-robot collaborative assembly approach in the wake of COVID-19	68
End to end multi-task learning with attention for multi-objective fault diagnosis under small sample	67
Remaining useful life prediction of bearing based on stacked autoencoder and recurrent neural network	67
Consistency retention method for CNC machine tool digital twin model	66
Hybrid physics-based and data-driven models for smart manufacturing: Modelling, simulation, and explainability	65
Digital twin and blockchain enhanced smart manufacturing service collaboration and management	64
Digital Twin Based Real-time Production Logistics Synchronization System in a Multi-level Computing Architecture	63
Physics-informed meta learning for machining tool wear prediction	63
Real-time defect identification of narrow overlap welds and application based on convolutional neural networks	62
Applications of additive manufacturing (AM) in sustainable energy generation and battle against COVID-19 pandemic: The knowledge evolution of 3D printing	61
Flexible job shop scheduling problem under Industry 5.0: A survey on human reintegration, environmental consideration and resilience improvement	61
A novel approach to CNC machining center processing parameters optimization considering energy-saving and low-cost	60
Real-time integrated production-scheduling and maintenance-planning in a flexible job shop with machine deterioration and condition-based maintenance	59
Comprehensive review on various additive manufacturing techniques and its implementation in electronic devices	59
Intelligent manufacturing execution systems: A systematic review	59
A sample entropy based prognostics method for lithium-ion batteries using relevance vector machine	58
Preventive replacement policies with time of operations, mission durations, minimal repairs and maintenance triggering approaches	57
Flexible business strategies to enhance resilience in manufacturing supply chains: An empirical study	57
Deep learning methods for object detection in smart manufacturing: A survey	57
Spindle thermal error prediction approach based on thermal infrared images: A deep learning method	57
A hybrid Jaya algorithm for solving flexible job shop scheduling problem considering multiple critical paths	56
A general approach for the machining quality evaluation of S-shaped specimen based on POS-SQP algorithm and Monte Carlo method	55
Federated learning-based semantic segmentation for pixel-wise defect detection in additive manufacturing	55
A multi-attribute personalized recommendation method for manufacturing service composition with combining collaborative filtering and genetic algorithm	55
A joint classification-regression method for multi-stage remaining useful life prediction	55
A review of digital twin-driven machining: From digitization to intellectualization	54
Advanced teleoperation and control system for industrial robots based on augmented virtuality and haptic feedback	54
A spiking neural network-based approach to bearing fault diagnosis	54
Classification and regression models of audio and vibration signals for machine state monitoring in precision machining systems	54
Multi-objective optimisation of machining process parameters using deep learning-based data-driven genetic algorithm and TOPSIS	53
Optimizing task scheduling in human-robot collaboration with deep multi-agent reinforcement learning	53
Digital twin enhanced fault prediction for the autoclave with insufficient data	52
Machine-fixture-pallet resources constrained flexible job shop scheduling considering loading and unloading times under pallet automation system	51
Tool wear monitoring of TC4 titanium alloy milling process based on multi-channel signal and time-dependent properties by using deep learning	51
Intelligent scheduling of a feature-process-machine tool supernetwork based on digital twin workshop	51
Extending the lean value stream mapping to the context of Industry 4.0: An agent-based technology approach	50
Current development on the Operator 4.0 and transition towards the Operator 5.0: A systematic literature review in light of Industry 5.0	50
A predictive maintenance model for optimizing production schedule using deep neural networks	50
A review of in-situ monitoring and process control system in metal-based laser additive manufacturing	50
An improved genetic algorithm for flexible job shop scheduling problem considering reconfigurable machine tools with limited auxiliary modules	50
Secure sharing of big digital twin data for smart manufacturing based on blockchain	50
Construction method of shop-floor digital twin based on MBSE	49
Decision support for the implementation of Industry 4.0 methods: Toolbox, Assessment and Implementation Sequences for Industry 4.0	49
Supporting disassembly processes through simulation tools: A systematic literature review with a focus on printed circuit boards	49
Towards resilience in Industry 5.0: A decentralized autonomous manufacturing paradigm	49
Reverse logistics network design for product reuse, remanufacturing, recycling and refurbishing under uncertainty	48
Cloud-edge orchestration-based bi-level autonomous process control for mass individualization of rapid printed circuit boards prototyping services	48
The rise of 3D Printing entangled with smart computer aided design during COVID-19 era	48
Review on additive manufacturing and non-destructive testing	47
A multi-access edge computing enabled framework for the construction of a knowledge-sharing intelligent machine tool swarm in Industry 4.0	47
Semi-supervised multi-scale attention-aware graph convolution network for intelligent fault diagnosis of machine under extremely-limited labeled samples	47
Reconfiguring and ramping-up ventilator production in the face of COVID-19: Can robots help?	45
Physics-informed interpretable wavelet weight initialization and balanced dynamic adaptive threshold for intelligent fault diagnosis of rolling bearings	44
Enabling predictive maintenance integrated production scheduling by operation-specific health prognostics with generative deep learning	44
Event-driven tool condition monitoring methodology considering tool life prediction based on industrial internet	44
In-situ point cloud fusion for layer-wise monitoring of additive manufacturing	43
Bi-level dynamic scheduling architecture based on service unit digital twin agents	43
A multi-branch deep neural network model for failure prognostics based on multimodal data	43
A New assembly precision prediction method of aeroengine high-pressure rotor system considering manufacturing error and deformation of parts	43
AKSNet: A novel convolutional neural network with adaptive kernel width and sparse regularization for machinery fault diagnosis	43
Life cycle assessment of additive manufacturing processes: A review	42
Multi-sensing signals diagnosis and CNN-based detection of porosity defect during Al alloys laser welding	42
Toward a smart wire arc additive manufacturing system: A review on current developments and a framework of digital twin	42
An experimental study on augmented reality assisted manual assembly with occluded components	42
Multi-objective optimization of the textile manufacturing process using deep-Q-network based multi-agent reinforcement learning	41
Direct additive manufacturing of metal parts for automotive applications	41
Maintenance costs and makespan minimization for assembly permutation flow shop scheduling by considering preventive and corrective maintenance	41
Assessment of the automation potential of electric vehicle battery disassembly	41
Utilizing uncertainty information in remaining useful life estimation via Bayesian neural networks and Hamiltonian Monte Carlo	40
Role of additive manufacturing in medical application COVID-19 scenario: India case study	40
Digital twin-driven optimization of gas exchange system of 2-stroke heavy fuel aircraft engine	40
A safety management approach for Industry 5.0′s human-centered manufacturing based on digital twin	40
Making costly manufacturing smart with transfer learning under limited data: A case study on composites autoclave processing	40
Intelligent fault identification of rotary machinery using refined composite multi-scale Lempel–Ziv complexity	39
A digital twin based framework for detection, diagnosis, and improvement of throughput bottlenecks	39
A utility-based matching mechanism for stable and optimal resource allocation in cloud manufacturing platforms using deferred acceptance algorithm	39
Digital twin improved via visual question answering for vision-language interactive mode in human–machine collaboration	39
A digital thread-driven distributed collaboration mechanism between digital twin manufacturing units	39

When AI meets additive manufacturing: Challenges and emerging opportunities for human-centered products development	38
Dynamic scheduling of tasks in cloud manufacturing with multi-agent reinforcement learning	38
Optimisation of mixed-model assembly line balancing problem under uncertain demand	38
Energy-oriented joint optimization of machine maintenance and tool replacement in sustainable manufacturing	37
A production and distribution planning of perishable products with a fixed lifetime under vertical competition in the seller-buyer systems: A real-world application	37
A digital twin-based approach for the management of geometrical deviations during assembly processes	37
Data science skills and domain knowledge requirements in the manufacturing industry: A gap analysis	37
Thermal error prediction for heavy-duty CNC machines enabled by long short-term memory networks and fog-cloud architecture	36
Cyber-physical assembly system-based optimization for robotic assembly sequence planning	36
A transformer-based approach for novel fault detection and fault classification/diagnosis in manufacturing: A rotary system application	36
Human-centric collaborative assembly system for large-scale space deployable mechanism driven by Digital Twins and wearable AR devices	36
Tool wear identification and prediction method based on stack sparse self-coding network	36
Evaluating the interactions of multi-dimensional value for sustainable product-service system with grey DEMATEL-ANP approach	36
Framework for manufacturing-tasks semantic modelling and manufacturing-resource recommendation for digital twin shop-floor	36
Introducing autonomous aerial robots in industrial manufacturing	35
A convolutional neural network-based multi-sensor fusion approach for in-situ quality monitoring of selective laser melting	35
A fast decision-making method for process planning with dynamic machining resources via deep reinforcement learning	35
Harmonizing ergonomics and economics of assembly lines using collaborative robots and exoskeletons	35
The three paradigms of manufacturing advancement	34
Multitask-oriented manufacturing service composition in an uncertain environment using a hyper-heuristic algorithm	34
Intelligent feature recognition for STEP-NC-compliant manufacturing based on artificial bee colony algorithm and back propagation neural network	34
A Pareto-discrete hummingbird algorithm for partial sequence-dependent disassembly line balancing problem considering tool requirements	34
Modified DSAN for unsupervised cross-domain fault diagnosis of bearing under speed fluctuation	34
Lagrangian heuristic algorithm for green multi-product production routing problem with reverse logistics and remanufacturing	34
Data-driven manufacturing: An assessment model for data science maturity	34
Compound fault diagnosis for industrial robots based on dual-transformer networks	34
Envisioning maintenance 5.0: Insights from a systematic literature review of Industry 4.0 and a proposed framework	33
A new ensemble convolutional neural network with diversity regularization for fault diagnosis	33
Opportunistic maintenance scheduling with deep reinforcement learning	33
Development of a multidimensional conceptual model for job shop smart manufacturing scheduling from the Industry 4.0 perspective	32
Cloud remanufacturing: Remanufacturing enhanced through cloud technologies	32
Industrial big data-driven mechanical performance prediction for hot-rolling steel using lower upper bound estimation method	32
Establishing a reliable mechanism model of the digital twin machining system: An adaptive evaluation network approach	32
Flow-shop path planning for multi-automated guided vehicles in intelligent textile spinning cyber-physical production systems dynamic environment	32
Sound-based remote real-time multi-device operational monitoring system using a Convolutional Neural Network (CNN)	32
Detecting anomalies in time series data from a manufacturing system using recurrent neural networks	32
Decentral task allocation for industrial AGV-systems with resource constraints	32
Dynamic reconfiguration optimization of intelligent manufacturing system with human-robot collaboration based on digital twin	32
An optimisation model for the dynamic management of cellular reconfigurable manufacturing systems under auxiliary module availability constraints	32
Human acceptance evaluation of AR-assisted assembly scenarios	31
Feature-based quality classification for ultrasonic welding of carbon fiber reinforced polymer through Bayesian regularized neural network	31
Disassembly task planning for end-of-life automotive traction batteries based on ontology and partial destructive rules	31
Joint production and preventive maintenance controls for unreliable and imperfect manufacturing systems	31
Unlocking the power of big data analytics in new product development: An intelligent product design framework in the furniture industry	30
A support-design framework for Cooperative Robots systems in labor-intensive manufacturing processes	30
Artificial intelligence for throughput bottleneck analysis – State-of-the-art and future directions	30
Federated transfer learning in fault diagnosis under data privacy with target self-adaptation	30
Position-oriented process monitoring in milling of thin-walled parts	29
A consistency evaluation method for digital twin models	29
Early event detection in a deep-learning driven quality prediction model for ultrasonic welding	29
A multi-level adaptation scheme for hierarchical bearing fault diagnosis under variable working conditions	29
Towards sustainable industry 4.0: A green real-time IIoT multitask scheduling architecture for distributed 3D printing services	29
Human-robot collaboration empowered by hidden semi-Markov model for operator behaviour prediction in a smart assembly system	29
A piecewise method for bearing remaining useful life estimation using temporal convolutional networks	29
Triplet metric driven multi-head GNN augmented with decoupling adversarial learning for intelligent fault diagnosis of machines under varying working condition	28
Towards online reinforced learning of assembly sequence planning with interactive guidance systems for industry 4.0 adaptive manufacturing	28
An improved genetic algorithm with modified critical path-based searching for integrated process planning and scheduling problem considering automated guided vehicle transportation task	28
Data-driven dynamic bottleneck detection in complex manufacturing systems	28
Digital twin towards smart manufacturing and industry 4.0	28
Generative adversarial network for early-stage design flexibility in topology optimization for additive manufacturing	28
Machine learning for engineering design toward smart customization: A systematic review	28
Review of vision-based defect detection research and its perspectives for printed circuit board	28