Journal of Intelligent Manufacturing

Papers
(The TQCC of Journal of Intelligent Manufacturing is 10. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
BCTMSSF: a blockchain consensus-based traceability method for supply chain in smart factory184
Engineering and evaluating an unsupervised predictive maintenance solution: a cold-forming press case-study153
AutoML-driven diagnostics of the feeder motor in fused filament fabrication machines from direct current signals131
Effect and control of path parameters on thickness distribution of cylindrical cups formed via multi-pass conventional spinning131
Harnessing of in situ processing data to predict mechanical properties of laser powder bed fusion AlSi10Mg126
Six-dimensional digital twin modeling and software platform design for complex industrial systems117
From framework to industrial implementation: the digital twin in process planning104
Switching strategy-based hybrid evolutionary algorithms for job shop scheduling problems102
VIRL: Volume-Informed Representation Learning towards few-shot manufacturability estimation101
In-situ evaluation of hole quality and cutting tool condition in robotic drilling of composite materials using machine learning98
Switch ON/OFF learning of one-dimensional convolutional neural network and one-dimensional generative adversarial network for fault detection91
Optimizing electrohydrodynamic direct-writing with multilayer perceptron: accurate and efficient predictions of jet profiles89
Simulation of semiconductor wafer dicing induced faults on chips and their application as augmentation method for a deep learning based visual inspection system78
Large scale foundation models for intelligent manufacturing applications: a survey76
Review of image segmentation techniques for layup defect detection in the Automated Fiber Placement process73
The integrated process planning and scheduling of flexible job-shop-type remanufacturing systems using improved artificial bee colony algorithm67
Correction: Digital twin designs with generative AI: crafting a comprehensive framework for manufacturing systems62
Multi-level joint distributed alignment-based domain adaptation for cross-scenario strip defect recognition57
Modular production control using deep reinforcement learning: proximal policy optimization56
Retraction Note: Visual sensor intelligent module based image transmission in industrial manufacturing for monitoring and manipulation problems55
A review and classification of manufacturing ontologies55
Development of a surrogate model for high-fidelity laser powder-bed fusion using tensor train and gaussian process regression54
New metrics for measuring supply chain reconfigurability53
Deep learning-based conductive particle inspection for TFT-LCDs inspired by parametric space envelope53
Energy-time tradeoffs for remanufacturing system scheduling using an invasive weed optimization algorithm51
Temporal anomaly detection on IIoT-enabled manufacturing51
Multi-layer edge resource placement optimization for factories49
Adaptive servo system for die-sinking micro-EDM driven by deep Q-network with online-offline combined data49
GAN-based statistical modeling with adaptive schemes for surface defect inspection of IC metal packages48
Investigating the influence of fidelity on the capability of a digital twin to detect material extrusion failures45
Image deep learning in fault diagnosis of mechanical equipment45
Digital twin for product versus project lifecycles’ development in manufacturing and construction industries44
Online simulation task scheduling in cloud manufacturing with cross attention and deep reinforcement learning43
Correction: Detecting and classifying hidden defects in additively manufactured parts using deep learning and X-ray computed tomography43
Machine learning-based non-destructive method for identifying defect causes in OLED displays to enhance productivity42
Enhanced detection of diverse defects by developing lighting strategies using multiple light sources based on reinforcement learning41
A systematic mapping of semi-formal and formal methods in requirements engineering of industrial Cyber-Physical systems41
Digital twin-based real-time energy optimization method for production line considering fault disturbances40
A framework for fault detection and diagnostics of articulated collaborative robots based on hybrid series modelling of Artificial Intelligence algorithms38
Concurrent nonstationary process analysis model and its application in nonstationary process monitoring38
A high-precision in-situ monitoring system for laser directed energy deposition melt pool 3D morphology based on deep learning37
Evaluation of process planning in manufacturing by a neural network based on an energy definition of hopfield nets37
Deep reinforcement learning-based energy-aware disassembly planning for end-of-life products with stimuli-activated self-disassembly37
Digital Twin-based manufacturing system: a survey based on a novel reference model35
Trustworthy and intelligent fault diagnosis with effective denoising and evidential stacked GRU neural network35
Multi-stage few-shot micro-defect detection of patterned OLED panel using defect inpainting and multi-scale Siamese neural network34
Optimization of buffer design for mixed-model sequential production line based on simulation and reinforcement learning34
An intelligent prediction method of surface residual stresses based on multi-source heterogeneous data34
Acoustic emission reflection signal classification of PVDF-type AE sensor using convolutional neural network-transfer learning33
Improving imbalanced industrial datasets to enhance the accuracy of mechanical property prediction and process optimization for strip steel33
Enterprise and service−level scheduling of robot production services in cloud manufacturing with deep reinforcement learning33
The multisensor information fusion-based deep learning model for equipment health monitor integrating subject matter expert knowledge32
Flexible dual-mode sensor with accurate contact pressure sensing and contactless distance detection functions for robotic perception32
Systematic comparison of software agents and Digital Twins: differences, similarities, and synergies in industrial production32
Flexible and robust detection for assembly automation with YOLOv5: a case study on HMLV manufacturing line31
Research on salient object detection algorithm for complex electrical components30
Variability-enhanced knowledge-based engineering (VEN) for reconfigurable molds30
Conceptualizing the digital thread for smart manufacturing: a systematic literature review30
Analysis of models for IoT-driven predictive maintenance under constraints in the case of the biopharmaceutical industry29
Optimization of laser annealing parameters based on bayesian reinforcement learning29
Warpage detection in 3D printing of polymer parts: a deep learning approach29
Development of a cascaded multitask physics-informed neural network (CM-PINN) to construct the muti-physical field model of rubber bushing press fitting29
A feature extraction method for intelligent chatter detection in the milling process28
Random convolution layer: an auxiliary method to improve fault diagnosis performance28
Multi-channel anomaly detection using graphical models28
A review of the bat algorithm and its varieties for industrial applications27
Remaining useful life prediction of milling cutters based on long-term data sequence and parallel fully convolutional feature learning27
Reconfigurability improvement in Industry 4.0: a hybrid genetic algorithm-based heuristic approach for a co-generation of setup and process plans in a reconfigurable environment26
Towards scalable and reusable predictive models for cyber twins in manufacturing systems26
An end-to-end welding defect detection approach based on titanium alloy time-of-flight diffraction images26
Managing product-inherent constraints with artificial intelligence: production control for time constraints in semiconductor manufacturing26
Machine learning approach to packaging compatibility testing in the new product development process25
The effects of role transitions and adaptation in human–cobot collaboration25
A path planning algorithm for PCB surface quality automatic inspection25
Transformation of a rolling mill aggregate to a cyber physical production system: from sensor retrofitting to machine learning25
Process parameter optimization for reproducible fabrication of layer porosity quality of 3D-printed tissue scaffold24
A novel machine learning algorithm for interval systems approximation based on artificial neural network24
A hierarchical ensemble causal structure learning approach for wafer manufacturing24
A virtual sensor for backlash in robotic manipulators24
Measuring manufacturing system complexity: a literature review24
A real spatial–temporal attention denoising network for nugget quality detection in resistance spot weld23
CD3IS: cross dimensional 3D instance segmentation network for production workshop23
Data-driven product configuration improvement and product line restructuring with text mining and multitask learning23
Object detection for blind inspection of industrial products based on neural architecture search23
CENet: improve counting performance of X-ray surface mounted chip counter via scale favor and cell extraction22
An approach for designing smart manufacturing for the research and development of dye-sensitize solar cell22
Spatiotemporal analysis of powder bed fusion melt pool monitoring videos using deep learning22
Predicting the number of printed cells during inkjet-based bioprinting process based on droplet velocity profile using machine learning approaches22
Reference training system for intelligent manufacturing talent education: platform construction and curriculum development22
A data-driven method for performance analysis and improvement in production systems with quality inspection22
Voxel-based sensor placement for additive manufacturing applications22
Digital twin and predictive quality solution for insulated glass line21
High-precision point cloud registration system of multi-view industrial self-similar workpiece based on super-point space guidance21
Building digital-twin virtual machining for milling chatter detection based on VMD, synchro-squeeze wavelet, and pre-trained network CNNs with vibration signals21
Autonomous self-healing mechanism for a CNC milling machine based on pattern recognition20
RFID systems optimisation through the use of a new RFID network planning algorithm to support the design of receiving gates20
Improved multi-core arithmetic optimization algorithm-based ensemble mutation for multidisciplinary applications20
Multi-objective optimisation of ultrasonically welded dissimilar joints through machine learning20
Lightweight convolutional neural network for fast visual perception of storage location status in stereo warehouse20
Casting plate defect detection using motif discovery with minimal model training and small data sets20
Leveraging computer vision towards high-efficiency autonomous industrial facilities19
The 3D narrow butt weld seam detection system based on the binocular consistency correction19
A reference framework for the digital twin smart factory based on cloud-fog-edge computing collaboration19
Recent advances in human–robot interaction: robophobia or synergy19
A machining feature recognition approach based on hierarchical neural network for multi-feature point cloud models19
Automatic quality inspection in additive manufacturing using semi-supervised deep learning19
Root cause analysis of an out-of-control process using a logical analysis of data regression model and exponential weighted moving average19
Synthetic data generation using finite element method to pre-train an image segmentation model for defect detection using infrared thermography19
Evaluation of data augmentation and loss functions in semantic image segmentation for drilling tool wear detection19
Improving the functional performances for product family by mining online reviews19
Revolutionizing sheet metal stamping through industry 5.0 digital twins: a comprehensive review19
Welding monitoring and defect detection using probability density distribution and functional nonparametric kernel classifier18
Gaussian-process based modeling and optimal control of melt-pool geometry in laser powder bed fusion18
A digital apprentice for chatter detection in machining via human–machine interaction18
Self learning-empowered thermal error control method of precision machine tools based on digital twin18
Modelling and condition-based control of a flexible and hybrid disassembly system with manual and autonomous workstations using reinforcement learning18
Edge-fog-cloud hybrid collaborative computing solution with an improved parallel evolutionary strategy for enhancing tasks offloading efficiency in intelligent manufacturing workshops18
Automatic selection system of the building orientation based on double-layer priority aggregation multi-attribute decision-making18
Instant flow distribution network optimization in liquid composite molding using deep reinforcement learning18
Digital twin designs with generative AI: crafting a comprehensive framework for manufacturing systems18
Imbalanced fault diagnosis based on semi-supervised ensemble learning17
Robust-stable scheduling in dynamic flow shops based on deep reinforcement learning17
A multisensory time-frequency features fusion method for rotating machinery fault diagnosis under nonstationary case17
Digital Twin and web services for robotic deburring in intelligent manufacturing17
Multi-agent reinforcement learning based on graph convolutional network for flexible job shop scheduling17
A fast spatio-temporal temperature predictor for vacuum assisted resin infusion molding process based on deep machine learning modeling17
Survey on ontology-based explainable AI in manufacturing17
Intelligent monitoring of multi-axis robots for online diagnostics of unknown arm deviations17
Enhancing wisdom manufacturing as industrial metaverse for industry and society 5.016
A fuzzy multi-criteria approach based on Clarke and Wright savings algorithm for vehicle routing problem in humanitarian aid distribution16
A novel micro-defect classification system based on attention enhancement16
Failure prediction in production line based on federated learning: an empirical study16
Indirect porosity detection and root-cause identification in WAAM16
Optimal droplet transfer mode maintenance for wire + arc additive manufacturing (WAAM) based on deep learning16
A digital twin-assisted deep transfer learning method towards intelligent thermal error modeling of electric spindles16
A review of machine learning techniques for process and performance optimization in laser beam powder bed fusion additive manufacturing16
Improving surface quality in selective laser melting based tool making16
Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review16
A normal weld recognition method for time-of-flight diffraction detection based on generative adversarial network15
Optimization of injection molding process using multi-objective bayesian optimization and constrained generative inverse design networks15
Current status, challenges and opportunities of sustainable ultra-precision manufacturing15
Global receptive field graph attention network for unsupervised domain adaptation fault diagnosis in variable operating conditions15
A predictive modelling strategy for warpage and shrinkage defects in plastic injection molding using fuzzy logic and pattern search optimization15
Research on digital twin monitoring system for large complex surface machining15
A digital twin-driven cutting force adaptive control approach for milling process15
Selecting subsets of source data for transfer learning with applications in metal additive manufacturing15
Enhancing robustness to novel visual defects through StyleGAN latent space navigation: a manufacturing use case15
Optimization of processing parameters for waterjet-guided laser machining of SiC/SiC composites15
A review of motion planning algorithms for intelligent robots15
Smart sheet metal forming: importance of data acquisition, preprocessing and transformation on the performance of a multiclass support vector machine for predicting wear states during blanking15
Multi-modal background-aware for defect semantic segmentation with limited data15
A chip inspection system based on a multiscale subarea attention network14
A multi-task effectiveness metric and an adaptive co-training method for enhancing learning performance with few samples14
Development of a mobile 3D printer and comparative evaluation against traditional gantry systems14
Unsupervised reward engineering for reinforcement learning controlled manufacturing14
Machining accuracy prediction and adaptive compensation method of CNC machine tool under absence of machining process sensing14
Efficient textile anomaly detection via memory guided distillation network14
Optimization framework of laser oscillation welding based on a deep predictive reward reinforcement learning net14
A novel extension model for predicting the friction coefficient of fluorinated ethylene propylene based on temporal convolutional networks expansion algorithms14
Improved wafer map defect pattern classification using automatic data augmentation based lightweight encoder network in contrastive learning14
Remaining useful lifetime prediction for milling blades using a fused data prediction model (FDPM)14
Manufacturing process energy consumption modeling: a methodology to identify the most appropriate model14
Anomaly detection for composite manufacturing using AI models14
Hard task-based dual-aligned meta-transfer learning for cross-domain few-shot fault diagnosis14
Using GANs to predict milling stability from limited data13
Enhanced prediction accuracy in high-speed grinding of brittle materials using advanced machine learning techniques13
Rule-based visualization of faulty process conditions in the die-casting manufacturing13
Neural lumped parameter differential equations with application in friction-stir processing13
Intelligent hierarchical compensation method for industrial robot positioning error based on compound branch neural network automatic creation13
A transfer regression network-based adaptive calibration method for remaining useful life prediction considering individual discrepancies in the degradation process of machinery13
Exploring the applications of natural language processing and language models for production, planning, and control activities of SMEs in industry 4.0: a systematic literature review13
Real-time monitoring of molten zinc splatter using machine learning-based computer vision13
Machine learning guided design of experiments to accelerate exploration of a material extrusion process parameter space13
Machining tool identification utilizing temporal 3D point clouds12
Scheduling of a class of partial routing FMS in uncertain environments with beam search12
A bilevel optimisation model for the joint configuration of new and remanufactured products considering specification upgrading of used products12
Editorial: intelligent manufacturing systems towards industry 4.0 era12
Automatic root cause analysis in manufacturing: an overview & conceptualization12
Towards real-time in-situ monitoring of hot-spot defects in L-PBF: a new classification-based method for fast video-imaging data analysis12
A multitask context-aware approach for design lesson-learned knowledge recommendation in collaborative product design12
A novel automatic classification approach for micro-flaws on the large-aperture optics surface based on multi-light source fusion and integrated deep learning architecture12
Conductive particle detection via efficient encoder–decoder network12
Collaborative knowledge management to identify data analytics opportunities in additive manufacturing12
Predicting part distortion field in additive manufacturing: a data-driven framework12
Competing refurbishment in a supply chain with different selling modes12
Interpolation-based virtual sample generation for surface roughness prediction12
Heterogeneous demand–capacity synchronization for smart assembly cell line based on artificial intelligence-enabled IIoT12
A signal-to-image fault classification method based on multi-sensor data for robotic grinding monitoring12
Context-sensitive lexicon for imbalanced text sentiment classification using bidirectional LSTM12
Towards industry 4.0 in practice: a novel RFID-based intelligent system for monitoring and optimisation of production systems12
Part machining feature recognition based on a deep learning method11
Real-time in-situ defect detection via multi-modal classification of waveforms for wire arc additive manufacturing11
Data-driven dynamic causality analysis of industrial systems using interpretable machine learning and process mining11
Combining human guidance and structured task execution during physical human–robot collaboration11
Investigation and machine learning-based prediction of parametric effects of single point incremental forming on pillow effect and wall profile of AlMn1Mg1 aluminum alloy sheets11
A survey on HoloLens AR in support of human-centric intelligent manufacturing11
Hybrid data augmentation method for combined failure recognition in rotating machines11
Appending-inspired multivariate time series association fusion for tool condition monitoring11
Stable pushing in narrow passage environment using a modified hybrid A* algorithm11
Semi-supervised learning for steel surface inspection using magnetic flux leakage signal11
Intelligent control system for 3D inkjet printing11
Data-driven prediction of keyhole features in metal additive manufacturing based on physics-based simulation11
SPRBF-ABLS: a novel attention-based broad learning systems with sparse polynomial-based radial basis function neural networks11
Development of an adaptive tool condition monitoring system: integration of case-based reasoning with CNN11
Detecting and classifying hidden defects in additively manufactured parts using deep learning and X-ray computed tomography11
Multicriteria task classification in human-robot collaborative assembly through fuzzy inference11
Automatic high-frequency induction brazing through an ensembled detection with heterogenous sensor measurements11
A dual-attention feature fusion network for imbalanced fault diagnosis with two-stream hybrid generated data11
Prediction of crater morphology and its application for enhancing dimensional accuracy in micro-EDM10
Design and platform realization of comprehensive evaluation method for quality of complex product assembly process10
NG-Net: No-Grasp annotation grasp detection network for stacked scenes10
Monitoring and control framework for intelligent real-time optimization of printing sequence of powder bed fusion10
Coupling of an analytical rolling model and reinforcement learning to design pass schedules: towards properties controlled hot rolling10
Reinforcement learning for sustainability enhancement of production lines10
Generative adversarial networks and hessian locally linear embedding for geometric variations management in manufacturing10
Correction to: An effective approach for the dual-resource flexible job shop scheduling problem considering loading and unloading10
Data computation platform (DCP): empowering pharma 4.0 innovation through GxP-compliant and scalable software platform enabling advanced data analytics and real-time process monitoring in regulated en10
Attention mechanism and texture contextual information for steel plate defects detection10
High speed neuromorphic vision-based inspection of countersinks in automated manufacturing processes10
A new effective decoupling method to identify the tracking errors of the motion axes of the five-axis machine tools10
Data-driven models for predictions of geometric characteristics of bead fabricated by selective laser melting10
Real-time detection of blade surface defects based on the improved RT-DETR10
Correction: Optimal data-driven control of manufacturing processes using reinforcement learning: an application to wire arc additive manufacturing10
A framework and method for equipment digital twin dynamic evolution based on IExATCN10
Developing an artificial neural network controller for accelerating the hot deformation of the titanium aluminide TNM-B1 using reinforcement learning and finite element simulations10
Deformation by design: data-driven approach to predict and modify deformation in thin Ti-6Al-4V sheets using laser peen forming10
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