Journal of Manufacturing Systems

(The TQCC of Journal of Manufacturing Systems is 25. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 500 papers]. The publications cover those that have been published in the past four years, i.e., from 2019-09-01 to 2023-09-01.)
Review of digital twin about concepts, technologies, and industrial applications492
Enabling technologies and tools for digital twin454
Industry 4.0 and Industry 5.0—Inception, conception and perception389
Metal additive manufacturing in the commercial aviation industry: A review274
Digital twins-based smart manufacturing system design in Industry 4.0: A review212
Smart manufacturing process and system automation – A critical review of the standards and envisioned scenarios203
Big data and stream processing platforms for Industry 4.0 requirements mapping for a predictive maintenance use case171
A review on wire arc additive manufacturing: Monitoring, control and a framework of automated system157
Automated guided vehicle systems, state-of-the-art control algorithms and techniques154
Cyber-physical systems architectures for industrial internet of things applications in Industry 4.0: A literature review152
Digital twin-based designing of the configuration, motion, control, and optimization model of a flow-type smart manufacturing system147
Intelligent welding system technologies: State-of-the-art review and perspectives133
Digital Twin Enhanced Dynamic Job-Shop Scheduling124
A human-in-the-loop manufacturing control architecture for the next generation of production systems122
Blockchain-based data management for digital twin of product119
A literature survey of the robotic technologies during the COVID-19 pandemic116
Digital twin modeling method based on biomimicry for machining aerospace components114
Unsupervised domain-share CNN for machine fault transfer diagnosis from steady speeds to time-varying speeds113
Outlook on human-centric manufacturing towards Industry 5.0109
Industry 4.0 smart reconfigurable manufacturing machines109
Automated defect inspection system for metal surfaces based on deep learning and data augmentation107
A digital twin to train deep reinforcement learning agent for smart manufacturing plants: Environment, interfaces and intelligence106
Artificial intelligence and internet of things in small and medium-sized enterprises: A survey102
A review on the characteristics of cyber-physical systems for the future smart factories101
Industry 5.0: Prospect and retrospect101
Big data analytics for intelligent manufacturing systems: A review99
Digital twin-based smart assembly process design and application framework for complex products and its case study98
Petri-net-based dynamic scheduling of flexible manufacturing system via deep reinforcement learning with graph convolutional network95
Digital twin modeling94
Physics guided neural network for machining tool wear prediction91
Towards multi-model approaches to predictive maintenance: A systematic literature survey on diagnostics and prognostics90
Smart augmented reality instructional system for mechanical assembly towards worker-centered intelligent manufacturing88
Health indicator construction of machinery based on end-to-end trainable convolution recurrent neural networks81
Remote human–robot collaboration: A cyber–physical system application for hazard manufacturing environment80
Past, present, and future barriers to digital transformation in manufacturing: A review78
How to model and implement connections between physical and virtual models for digital twin application77
Real-time penetration state monitoring using convolutional neural network for laser welding of tailor rolled blanks76
Industry 5.0 and Society 5.0—Comparison, complementation and co-evolution75
Application of sensing techniques and artificial intelligence-based methods to laser welding real-time monitoring: A critical review of recent literature74
MES-integrated digital twin frameworks72
Systematic literature review on augmented reality in smart manufacturing: Collaboration between human and computational intelligence72
Additive manufacturing and the COVID-19 challenges: An in-depth study69
A digital-twin visualized architecture for Flexible Manufacturing System68
A knowledge-based Digital Shadow for machining industry in a Digital Twin perspective68
A digital twin-enhanced system for engineering product family design and optimization68
Toward in-situ flaw detection in laser powder bed fusion additive manufacturing through layerwise imagery and machine learning67
A digital twin-based big data virtual and real fusion learning reference framework supported by industrial internet towards smart manufacturing65
Towards Self-X cognitive manufacturing network: An industrial knowledge graph-based multi-agent reinforcement learning approach65
New Paradigm of Data-Driven Smart Customisation through Digital Twin64
Fault detection and diagnostic method of diesel engine by combining rule-based algorithm and BNs/BPNNs64
A survey on decision-making based on system reliability in the context of Industry 4.063
A novel deep convolutional neural network-bootstrap integrated method for RUL prediction of rolling bearing63
Digital twin and cloud-side-end collaboration for intelligent battery management system63
Applications of virtual reality in maintenance during the industrial product lifecycle: A systematic review62
Designing a closed-loop supply chain network for citrus fruits crates considering environmental and economic issues62
Towards proactive human–robot collaboration: A foreseeable cognitive manufacturing paradigm61
Digital Twin-enabled Collaborative Data Management for Metal Additive Manufacturing Systems61
Attitude data-based deep hybrid learning architecture for intelligent fault diagnosis of multi-joint industrial robots60
Data Construction Method for the Applications of Workshop Digital Twin System60
Decentralized cloud manufacturing-as-a-service (CMaaS) platform architecture with configurable digital assets59
Deep learning-based adversarial multi-classifier optimization for cross-domain machinery fault diagnostics58
Building a right digital twin with model engineering57
Toward human-centric smart manufacturing: A human-cyber-physical systems (HCPS) perspective56
A Compact Convolutional Neural Network Augmented with Multiscale Feature Extraction of Acquired Monitoring Data for Mechanical Intelligent Fault Diagnosis55
Digital Twin-driven online anomaly detection for an automation system based on edge intelligence55
Worker assistance systems in manufacturing: A review of the state of the art and future directions54
Modeling and implementation of a digital twin of material flows based on physics simulation54
Machine learning for metal additive manufacturing: Towards a physics-informed data-driven paradigm53
Digital twin for cutting tool: Modeling, application and service strategy52
Digital twin-driven service model and optimal allocation of manufacturing resources in shared manufacturing52
How to integrate additive manufacturing technologies into manufacturing systems successfully: A perspective from the commercial vehicle industry52
A Digital Twin approach based on nonparametric Bayesian network for complex system health monitoring52
A generic methodology and a digital twin for zero defect manufacturing (ZDM) performance mapping towards design for ZDM52
Transferable two-stream convolutional neural network for human action recognition51
Reinforcement learning for facilitating human-robot-interaction in manufacturing51
Prediction maintenance integrated decision-making approach supported by digital twin-driven cooperative awareness and interconnection framework51
Deep multi-scale adversarial network with attention: A novel domain adaptation method for intelligent fault diagnosis50
Reinforcement learning for combined production-maintenance and quality control of a manufacturing system with deterioration failures50
An approximate nondominated sorting genetic algorithm to integrate optimization of production scheduling and accurate maintenance based on reliability intervals50
Online detection of bearing incipient fault with semi-supervised architecture and deep feature representation49
Conceptual digital twin modeling based on an integrated five-dimensional framework and TRIZ function model48
A supply chain disruption recovery strategy considering product change under COVID-1948
Preventive replacement policies with time of operations, mission durations, minimal repairs and maintenance triggering approaches47
Digital Twin-driven machining process for thin-walled part manufacturing47
Deep learning-empowered digital twin for visualized weld joint growth monitoring and penetration control47
A general approach for the machining quality evaluation of S-shaped specimen based on POS-SQP algorithm and Monte Carlo method47
Digital twin-based assembly data management and process traceability for complex products47
Mixed reality-based user interface for quality control inspection of car body surfaces45
Greedy randomized adaptive search for dynamic flexible job-shop scheduling45
Adoption of machine learning technology for failure prediction in industrial maintenance: A systematic review45
Multi-agent system and reinforcement learning approach for distributed intelligence in a flexible smart manufacturing system45
Smart manufacturing scheduling: A literature review44
Using augmented reality to build digital twin for reconfigurable additive manufacturing system44
Semantic communications between distributed cyber-physical systems towards collaborative automation for smart manufacturing44
Disruption management in a constrained multi-product imperfect production system43
A digital twin-driven human-robot collaborative assembly approach in the wake of COVID-1943
A Review on Recent Advances in Vision-based Defect Recognition towards Industrial Intelligence43
Digital-twin-driven geometric optimization of centrifugal impeller with free-form blades for five-axis flank milling43
Eco-friendly additive manufacturing of metals: Energy efficiency and life cycle analysis42
State-of-the-art of selective laser melting process: A comprehensive review42
Intelligent tool wear monitoring and multi-step prediction based on deep learning model42
Automated manufacturing system discovery and digital twin generation42
A digital twin-based flexible cellular manufacturing for optimization of air conditioner line42
Evaluating quality in human-robot interaction: A systematic search and classification of performance and human-centered factors, measures and metrics towards an industry 5.042
A novel approach to CNC machining center processing parameters optimization considering energy-saving and low-cost41
Multi-objective particle swarm optimization for multi-workshop facility layout problem41
Fault detection based on one-class deep learning for manufacturing applications limited to an imbalanced database39
Digital twin-based industrial cloud robotics: Framework, control approach and implementation39
Consistency retention method for CNC machine tool digital twin model39
Anomaly monitoring improves remaining useful life estimation of industrial machinery38
The biological transformation of industrial manufacturing – Technologies, status and scenarios for a sustainable future of the German manufacturing industry38
Prognostic study of ball screws by ensemble data-driven particle filters38
A generic hierarchical clustering approach for detecting bottlenecks in manufacturing38
A futuristic perspective on human-centric assembly38
Machine learning for anomaly detection and process phase classification to improve safety and maintenance activities38
Remaining useful life prediction of bearing based on stacked autoencoder and recurrent neural network37
Mathematical modeling and a hybridized bacterial foraging optimization algorithm for the flexible job-shop scheduling problem with sequencing flexibility37
Application of integrated recurrent neural network with multivariate adaptive regression splines on SPC-EPC process37
Intelligent scheduling of a feature-process-machine tool supernetwork based on digital twin workshop37
Decision support for the implementation of Industry 4.0 methods: Toolbox, Assessment and Implementation Sequences for Industry 4.037
The rise of 3D Printing entangled with smart computer aided design during COVID-19 era37
Towards edge computing in intelligent manufacturing: Past, present and future37
Applications of additive manufacturing (AM) in sustainable energy generation and battle against COVID-19 pandemic: The knowledge evolution of 3D printing36
A joint classification-regression method for multi-stage remaining useful life prediction36
A sample entropy based prognostics method for lithium-ion batteries using relevance vector machine36
Multi-objective partial parallel disassembly line balancing problem using hybrid group neighbourhood search algorithm36
Spatio-Temporal Adaptive Sampling for effective coverage measurement planning during quality inspection of free form surfaces using robotic 3D optical scanner35
Intelligent fault diagnosis of mechanical equipment under varying working condition via iterative matching network augmented with selective Signal reuse strategy35
Flexible business strategies to enhance resilience in manufacturing supply chains: An empirical study35
Model review and algorithm comparison on multi-objective disassembly line balancing35
Repetitive assembly action recognition based on object detection and pose estimation34
Supporting disassembly processes through simulation tools: A systematic literature review with a focus on printed circuit boards34
Designing human-robot collaboration (HRC) workspaces in industrial settings: A systematic literature review34
Self-organizing manufacturing network: A paradigm towards smart manufacturing in mass personalization34
Intelligent tool wear monitoring based on parallel residual and stacked bidirectional long short-term memory network34
Real-time defect identification of narrow overlap welds and application based on convolutional neural networks33
Spindle thermal error prediction approach based on thermal infrared images: A deep learning method33
Resource management in decentralized industrial Automated Guided Vehicle systems33
Digital twin and blockchain enhanced smart manufacturing service collaboration and management33
A cost-driven process planning method for hybrid additive–subtractive remanufacturing33
Role of additive manufacturing in medical application COVID-19 scenario: India case study33
Event-driven tool condition monitoring methodology considering tool life prediction based on industrial internet33
A service-oriented dynamic multi-level maintenance grouping strategy based on prediction information of multi-component systems33
Digital Twin Based Real-time Production Logistics Synchronization System in a Multi-level Computing Architecture33
A utility-based matching mechanism for stable and optimal resource allocation in cloud manufacturing platforms using deferred acceptance algorithm32
Classification and regression models of audio and vibration signals for machine state monitoring in precision machining systems32
Temporal convolutional network with soft thresholding and attention mechanism for machinery prognostics32
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-floor32
Digital twin enhanced fault prediction for the autoclave with insufficient data31
Manufacturing cost estimation based on a deep-learning method31
Industrial data management strategy towards an SME-oriented PHM31
A multi-attribute personalized recommendation method for manufacturing service composition with combining collaborative filtering and genetic algorithm31
Advanced teleoperation and control system for industrial robots based on augmented virtuality and haptic feedback30
Enabling predictive maintenance integrated production scheduling by operation-specific health prognostics with generative deep learning30
Tool wear monitoring of TC4 titanium alloy milling process based on multi-channel signal and time-dependent properties by using deep learning30
A fault-tolerant control strategy for multiple automated guided vehicles30
SME-oriented flexible design approach for robotic manufacturing systems30
Extending the lean value stream mapping to the context of Industry 4.0: An agent-based technology approach29
Manufacturing cost estimation based on the machining process and deep-learning method29
A spiking neural network-based approach to bearing fault diagnosis29
An extended model for remaining time prediction in manufacturing systems using process mining29
Real-time integrated production-scheduling and maintenance-planning in a flexible job shop with machine deterioration and condition-based maintenance29
AKSNet: A novel convolutional neural network with adaptive kernel width and sparse regularization for machinery fault diagnosis29
Challenges and opportunities on AR/VR technologies for manufacturing systems in the context of industry 4.0: A state of the art review29
Bi-level dynamic scheduling architecture based on service unit digital twin agents28
Remaining Useful Life prediction and challenges: A literature review on the use of Machine Learning Methods28
New integration of preventive maintenance and production planning with cell formation and group scheduling for dynamic cellular manufacturing systems28
Dynamic Routing-based Multimodal Neural Network for Multi-sensory Fault Diagnosis of Induction Motor28
End to end multi-task learning with attention for multi-objective fault diagnosis under small sample28
Digital twin-driven optimization of gas exchange system of 2-stroke heavy fuel aircraft engine28
Comprehensive review on various additive manufacturing techniques and its implementation in electronic devices28
Cloud-edge orchestration-based bi-level autonomous process control for mass individualization of rapid printed circuit boards prototyping services28
Imperfect corrective maintenance scheduling for energy efficient manufacturing systems through online task allocation method28
Proactive maintenance scheduling in consideration of imperfect repairs and production wait time28
A hybrid Jaya algorithm for solving flexible job shop scheduling problem considering multiple critical paths28
Securing IIoT using Defence-in-Depth: Towards an End-to-End secure Industry 4.027
Physics-informed meta learning for machining tool wear prediction27
Toward cognitive predictive maintenance: A survey of graph-based approaches27
Optimizing smart manufacturing systems by extending the smart products paradigm to the beginning of life27
Lagrangian heuristic algorithm for green multi-product production routing problem with reverse logistics and remanufacturing27
The three paradigms of manufacturing advancement27
A multi-branch deep neural network model for failure prognostics based on multimodal data26
A hybrid deep learning model of process-build interactions in additive manufacturing26
Intelligent manufacturing execution systems: A systematic review26
Application of system dynamics for analysis of performance of manufacturing systems26
Optimizing task scheduling in human-robot collaboration with deep multi-agent reinforcement learning26
Decomposition-based bi-objective optimization for sustainable robotic assembly line balancing problems26
An optimisation model for the dynamic management of cellular reconfigurable manufacturing systems under auxiliary module availability constraints26
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 systems25
Making costly manufacturing smart with transfer learning under limited data: A case study on composites autoclave processing25
Utilizing uncertainty information in remaining useful life estimation via Bayesian neural networks and Hamiltonian Monte Carlo25
Digital twin improved via visual question answering for vision-language interactive mode in human–machine collaboration25