Journal of Manufacturing Systems

Papers
(The TQCC of Journal of Manufacturing Systems is 28. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Industry 4.0 and Industry 5.0—Inception, conception and perception1000
Review of digital twin about concepts, technologies, and industrial applications901
Enabling technologies and tools for digital twin750
Industry 5.0: Prospect and retrospect414
Digital twins-based smart manufacturing system design in Industry 4.0: A review378
Digital twin modeling378
Outlook on human-centric manufacturing towards Industry 5.0277
Cyber-physical systems architectures for industrial internet of things applications in Industry 4.0: A literature review265
Industry 5.0 and Society 5.0—Comparison, complementation and co-evolution230
Big data analytics for intelligent manufacturing systems: A review218
Artificial intelligence and internet of things in small and medium-sized enterprises: A survey197
Digital twin-based designing of the configuration, motion, control, and optimization model of a flow-type smart manufacturing system194
Digital Twin Enhanced Dynamic Job-Shop Scheduling187
Industry 4.0 smart reconfigurable manufacturing machines178
Unsupervised domain-share CNN for machine fault transfer diagnosis from steady speeds to time-varying speeds177
Digital twin modeling method based on biomimicry for machining aerospace components176
A digital twin to train deep reinforcement learning agent for smart manufacturing plants: Environment, interfaces and intelligence175
A literature survey of the robotic technologies during the COVID-19 pandemic170
Past, present, and future barriers to digital transformation in manufacturing: A review157
Toward human-centric smart manufacturing: A human-cyber-physical systems (HCPS) perspective153
State-of-the-art of selective laser melting process: A comprehensive review149
Digital twin-based smart assembly process design and application framework for complex products and its case study148
Systematic literature review on augmented reality in smart manufacturing: Collaboration between human and computational intelligence125
How to model and implement connections between physical and virtual models for digital twin application122
Digital twin and cloud-side-end collaboration for intelligent battery management system118
A novel deep convolutional neural network-bootstrap integrated method for RUL prediction of rolling bearing118
Evaluating quality in human-robot interaction: A systematic search and classification of performance and human-centered factors, measures and metrics towards an industry 5.0117
Towards Self-X cognitive manufacturing network: An industrial knowledge graph-based multi-agent reinforcement learning approach116
Machine learning for metal additive manufacturing: Towards a physics-informed data-driven paradigm115
A digital-twin visualized architecture for Flexible Manufacturing System113
Toward in-situ flaw detection in laser powder bed fusion additive manufacturing through layerwise imagery and machine learning111
Remaining Useful Life prediction and challenges: A literature review on the use of Machine Learning Methods110
Towards proactive human–robot collaboration: A foreseeable cognitive manufacturing paradigm110
Challenges and opportunities on AR/VR technologies for manufacturing systems in the context of industry 4.0: A state of the art review108
A digital twin-based big data virtual and real fusion learning reference framework supported by industrial internet towards smart manufacturing107
A knowledge-based Digital Shadow for machining industry in a Digital Twin perspective101
Digital Twin-enabled Collaborative Data Management for Metal Additive Manufacturing Systems98
Data Construction Method for the Applications of Workshop Digital Twin System98
Intelligent tool wear monitoring and multi-step prediction based on deep learning model96
New Paradigm of Data-Driven Smart Customisation through Digital Twin96
Designing human-robot collaboration (HRC) workspaces in industrial settings: A systematic literature review93
A Review on Recent Advances in Vision-based Defect Recognition towards Industrial Intelligence93
Modeling and implementation of a digital twin of material flows based on physics simulation92
Additive manufacturing and the COVID-19 challenges: An in-depth study91
Building a right digital twin with model engineering90
Towards edge computing in intelligent manufacturing: Past, present and future89
Digital Twin-driven online anomaly detection for an automation system based on edge intelligence89
A Digital Twin approach based on nonparametric Bayesian network for complex system health monitoring87
A generic methodology and a digital twin for zero defect manufacturing (ZDM) performance mapping towards design for ZDM87
Attitude data-based deep hybrid learning architecture for intelligent fault diagnosis of multi-joint industrial robots85
Towards trustworthy rotating machinery fault diagnosis via attention uncertainty in transformer83
A futuristic perspective on human-centric assembly82
Digital Twin-driven machining process for thin-walled part manufacturing82
Conceptual digital twin modeling based on an integrated five-dimensional framework and TRIZ function model81
A supply chain disruption recovery strategy considering product change under COVID-1980
Digital twin for cutting tool: Modeling, application and service strategy80
Worker assistance systems in manufacturing: A review of the state of the art and future directions80
Smart manufacturing powered by recent technological advancements: A review80
Adoption of machine learning technology for failure prediction in industrial maintenance: A systematic review80
Digital twin-driven service model and optimal allocation of manufacturing resources in shared manufacturing80
Human centric platforms for personalized value creation in metaverse79
Prediction maintenance integrated decision-making approach supported by digital twin-driven cooperative awareness and interconnection framework78
Eco-friendly additive manufacturing of metals: Energy efficiency and life cycle analysis77
Smart manufacturing scheduling: A literature review76
Automated manufacturing system discovery and digital twin generation76
Digital twin-based assembly data management and process traceability for complex products75
Temporal convolutional network with soft thresholding and attention mechanism for machinery prognostics75
Intelligent tool wear monitoring based on parallel residual and stacked bidirectional long short-term memory network74
Maturity assessment for Industry 5.0: A review of existing maturity models73
Toward cognitive predictive maintenance: A survey of graph-based approaches73
Application of automation for in-line quality inspection, a zero-defect manufacturing approach72
Deep multi-scale adversarial network with attention: A novel domain adaptation method for intelligent fault diagnosis71
Self-organizing manufacturing network: A paradigm towards smart manufacturing in mass personalization70
Digital-twin-driven geometric optimization of centrifugal impeller with free-form blades for five-axis flank milling70
A multi-scale modeling method for digital twin shop-floor70
A digital twin-based flexible cellular manufacturing for optimization of air conditioner line69
Digital twin-based industrial cloud robotics: Framework, control approach and implementation69
A digital twin-driven human-robot collaborative assembly approach in the wake of COVID-1968
End to end multi-task learning with attention for multi-objective fault diagnosis under small sample67
Remaining useful life prediction of bearing based on stacked autoencoder and recurrent neural network67
Consistency retention method for CNC machine tool digital twin model66
Hybrid physics-based and data-driven models for smart manufacturing: Modelling, simulation, and explainability65
Digital twin and blockchain enhanced smart manufacturing service collaboration and management64
Digital Twin Based Real-time Production Logistics Synchronization System in a Multi-level Computing Architecture63
Physics-informed meta learning for machining tool wear prediction63
Real-time defect identification of narrow overlap welds and application based on convolutional neural networks62
Applications of additive manufacturing (AM) in sustainable energy generation and battle against COVID-19 pandemic: The knowledge evolution of 3D printing61
Flexible job shop scheduling problem under Industry 5.0: A survey on human reintegration, environmental consideration and resilience improvement61
A novel approach to CNC machining center processing parameters optimization considering energy-saving and low-cost60
Real-time integrated production-scheduling and maintenance-planning in a flexible job shop with machine deterioration and condition-based maintenance59
Comprehensive review on various additive manufacturing techniques and its implementation in electronic devices59
Intelligent manufacturing execution systems: A systematic review59
A sample entropy based prognostics method for lithium-ion batteries using relevance vector machine58
Preventive replacement policies with time of operations, mission durations, minimal repairs and maintenance triggering approaches57
Flexible business strategies to enhance resilience in manufacturing supply chains: An empirical study57
Deep learning methods for object detection in smart manufacturing: A survey57
Spindle thermal error prediction approach based on thermal infrared images: A deep learning method57
A hybrid Jaya algorithm for solving flexible job shop scheduling problem considering multiple critical paths56
A joint classification-regression method for multi-stage remaining useful life prediction55
A general approach for the machining quality evaluation of S-shaped specimen based on POS-SQP algorithm and Monte Carlo method55
Federated learning-based semantic segmentation for pixel-wise defect detection in additive manufacturing55
A multi-attribute personalized recommendation method for manufacturing service composition with combining collaborative filtering and genetic algorithm55
A spiking neural network-based approach to bearing fault diagnosis54
Classification and regression models of audio and vibration signals for machine state monitoring in precision machining systems54
A review of digital twin-driven machining: From digitization to intellectualization54
Advanced teleoperation and control system for industrial robots based on augmented virtuality and haptic feedback54
Multi-objective optimisation of machining process parameters using deep learning-based data-driven genetic algorithm and TOPSIS53
Optimizing task scheduling in human-robot collaboration with deep multi-agent reinforcement learning53
Digital twin enhanced fault prediction for the autoclave with insufficient data52
Intelligent scheduling of a feature-process-machine tool supernetwork based on digital twin workshop51
Machine-fixture-pallet resources constrained flexible job shop scheduling considering loading and unloading times under pallet automation system51
Tool wear monitoring of TC4 titanium alloy milling process based on multi-channel signal and time-dependent properties by using deep learning51
An improved genetic algorithm for flexible job shop scheduling problem considering reconfigurable machine tools with limited auxiliary modules50
Secure sharing of big digital twin data for smart manufacturing based on blockchain50
Extending the lean value stream mapping to the context of Industry 4.0: An agent-based technology approach50
Current development on the Operator 4.0 and transition towards the Operator 5.0: A systematic literature review in light of Industry 5.050
A predictive maintenance model for optimizing production schedule using deep neural networks50
A review of in-situ monitoring and process control system in metal-based laser additive manufacturing50
Towards resilience in Industry 5.0: A decentralized autonomous manufacturing paradigm49
Construction method of shop-floor digital twin based on MBSE49
Decision support for the implementation of Industry 4.0 methods: Toolbox, Assessment and Implementation Sequences for Industry 4.049
Supporting disassembly processes through simulation tools: A systematic literature review with a focus on printed circuit boards49
Reverse logistics network design for product reuse, remanufacturing, recycling and refurbishing under uncertainty48
Cloud-edge orchestration-based bi-level autonomous process control for mass individualization of rapid printed circuit boards prototyping services48
The rise of 3D Printing entangled with smart computer aided design during COVID-19 era48
Review on additive manufacturing and non-destructive testing47
A multi-access edge computing enabled framework for the construction of a knowledge-sharing intelligent machine tool swarm in Industry 4.047
Semi-supervised multi-scale attention-aware graph convolution network for intelligent fault diagnosis of machine under extremely-limited labeled samples47
Reconfiguring and ramping-up ventilator production in the face of COVID-19: Can robots help?45
Event-driven tool condition monitoring methodology considering tool life prediction based on industrial internet44
Physics-informed interpretable wavelet weight initialization and balanced dynamic adaptive threshold for intelligent fault diagnosis of rolling bearings44
Enabling predictive maintenance integrated production scheduling by operation-specific health prognostics with generative deep learning44
AKSNet: A novel convolutional neural network with adaptive kernel width and sparse regularization for machinery fault diagnosis43
In-situ point cloud fusion for layer-wise monitoring of additive manufacturing43
Bi-level dynamic scheduling architecture based on service unit digital twin agents43
A multi-branch deep neural network model for failure prognostics based on multimodal data43
A New assembly precision prediction method of aeroengine high-pressure rotor system considering manufacturing error and deformation of parts43
Toward a smart wire arc additive manufacturing system: A review on current developments and a framework of digital twin42
An experimental study on augmented reality assisted manual assembly with occluded components42
Life cycle assessment of additive manufacturing processes: A review42
Multi-sensing signals diagnosis and CNN-based detection of porosity defect during Al alloys laser welding42
Assessment of the automation potential of electric vehicle battery disassembly41
Multi-objective optimization of the textile manufacturing process using deep-Q-network based multi-agent reinforcement learning41
Direct additive manufacturing of metal parts for automotive applications41
Maintenance costs and makespan minimization for assembly permutation flow shop scheduling by considering preventive and corrective maintenance41
A safety management approach for Industry 5.0′s human-centered manufacturing based on digital twin40
Making costly manufacturing smart with transfer learning under limited data: A case study on composites autoclave processing40
Utilizing uncertainty information in remaining useful life estimation via Bayesian neural networks and Hamiltonian Monte Carlo40
Role of additive manufacturing in medical application COVID-19 scenario: India case study40
Digital twin-driven optimization of gas exchange system of 2-stroke heavy fuel aircraft engine40
A digital thread-driven distributed collaboration mechanism between digital twin manufacturing units39
Intelligent fault identification of rotary machinery using refined composite multi-scale Lempel–Ziv complexity39
A digital twin based framework for detection, diagnosis, and improvement of throughput bottlenecks39
A utility-based matching mechanism for stable and optimal resource allocation in cloud manufacturing platforms using deferred acceptance algorithm39
Digital twin improved via visual question answering for vision-language interactive mode in human–machine collaboration39
When AI meets additive manufacturing: Challenges and emerging opportunities for human-centered products development38
Dynamic scheduling of tasks in cloud manufacturing with multi-agent reinforcement learning38
Optimisation of mixed-model assembly line balancing problem under uncertain demand38
Energy-oriented joint optimization of machine maintenance and tool replacement in sustainable manufacturing37
A production and distribution planning of perishable products with a fixed lifetime under vertical competition in the seller-buyer systems: A real-world application37
A digital twin-based approach for the management of geometrical deviations during assembly processes37
Data science skills and domain knowledge requirements in the manufacturing industry: A gap analysis37
Evaluating the interactions of multi-dimensional value for sustainable product-service system with grey DEMATEL-ANP approach36
Framework for manufacturing-tasks semantic modelling and manufacturing-resource recommendation for digital twin shop-floor36
Thermal error prediction for heavy-duty CNC machines enabled by long short-term memory networks and fog-cloud architecture36
Cyber-physical assembly system-based optimization for robotic assembly sequence planning36
A transformer-based approach for novel fault detection and fault classification/diagnosis in manufacturing: A rotary system application36
Human-centric collaborative assembly system for large-scale space deployable mechanism driven by Digital Twins and wearable AR devices36
Tool wear identification and prediction method based on stack sparse self-coding network36
A fast decision-making method for process planning with dynamic machining resources via deep reinforcement learning35
Harmonizing ergonomics and economics of assembly lines using collaborative robots and exoskeletons35
Introducing autonomous aerial robots in industrial manufacturing35
A convolutional neural network-based multi-sensor fusion approach for in-situ quality monitoring of selective laser melting35
Compound fault diagnosis for industrial robots based on dual-transformer networks34
The three paradigms of manufacturing advancement34
Multitask-oriented manufacturing service composition in an uncertain environment using a hyper-heuristic algorithm34
Intelligent feature recognition for STEP-NC-compliant manufacturing based on artificial bee colony algorithm and back propagation neural network34
A Pareto-discrete hummingbird algorithm for partial sequence-dependent disassembly line balancing problem considering tool requirements34
Modified DSAN for unsupervised cross-domain fault diagnosis of bearing under speed fluctuation34
Lagrangian heuristic algorithm for green multi-product production routing problem with reverse logistics and remanufacturing34
Data-driven manufacturing: An assessment model for data science maturity34
Envisioning maintenance 5.0: Insights from a systematic literature review of Industry 4.0 and a proposed framework33
A new ensemble convolutional neural network with diversity regularization for fault diagnosis33
Opportunistic maintenance scheduling with deep reinforcement learning33
Decentral task allocation for industrial AGV-systems with resource constraints32
Dynamic reconfiguration optimization of intelligent manufacturing system with human-robot collaboration based on digital twin32
An optimisation model for the dynamic management of cellular reconfigurable manufacturing systems under auxiliary module availability constraints32
Development of a multidimensional conceptual model for job shop smart manufacturing scheduling from the Industry 4.0 perspective32
Cloud remanufacturing: Remanufacturing enhanced through cloud technologies32
Industrial big data-driven mechanical performance prediction for hot-rolling steel using lower upper bound estimation method32
Establishing a reliable mechanism model of the digital twin machining system: An adaptive evaluation network approach32
Flow-shop path planning for multi-automated guided vehicles in intelligent textile spinning cyber-physical production systems dynamic environment32
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 networks32
Joint production and preventive maintenance controls for unreliable and imperfect manufacturing systems31
Human acceptance evaluation of AR-assisted assembly scenarios31
Feature-based quality classification for ultrasonic welding of carbon fiber reinforced polymer through Bayesian regularized neural network31
Disassembly task planning for end-of-life automotive traction batteries based on ontology and partial destructive rules31
Federated transfer learning in fault diagnosis under data privacy with target self-adaptation30
Unlocking the power of big data analytics in new product development: An intelligent product design framework in the furniture industry30
A support-design framework for Cooperative Robots systems in labor-intensive manufacturing processes30
Artificial intelligence for throughput bottleneck analysis – State-of-the-art and future directions30
A piecewise method for bearing remaining useful life estimation using temporal convolutional networks29
Position-oriented process monitoring in milling of thin-walled parts29
A consistency evaluation method for digital twin models29
Early event detection in a deep-learning driven quality prediction model for ultrasonic welding29
A multi-level adaptation scheme for hierarchical bearing fault diagnosis under variable working conditions29
Towards sustainable industry 4.0: A green real-time IIoT multitask scheduling architecture for distributed 3D printing services29
Human-robot collaboration empowered by hidden semi-Markov model for operator behaviour prediction in a smart assembly system29
Triplet metric driven multi-head GNN augmented with decoupling adversarial learning for intelligent fault diagnosis of machines under varying working condition28
Towards online reinforced learning of assembly sequence planning with interactive guidance systems for industry 4.0 adaptive manufacturing28
An improved genetic algorithm with modified critical path-based searching for integrated process planning and scheduling problem considering automated guided vehicle transportation task28
Data-driven dynamic bottleneck detection in complex manufacturing systems28
Digital twin towards smart manufacturing and industry 4.028
Generative adversarial network for early-stage design flexibility in topology optimization for additive manufacturing28
Machine learning for engineering design toward smart customization: A systematic review28
Review of vision-based defect detection research and its perspectives for printed circuit board28
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