Journal of Manufacturing Systems

Papers
(The H4-Index of Journal of Manufacturing Systems is 73. 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
Reconfigurable flexible assembly model and implementation for cross-category products1309
Digital twin based photogrammetry field-of-view evaluation and 3D layout optimisation for reconfigurable manufacturing systems614
A new cause-mechanism independence estimation based cross-domain learning method for machining deformation prediction590
Review of manufacturing system design in the interplay of Industry 4.0 and Industry 5.0 (Part II): Design processes and enablers464
Demonstrating a Swarm Production lifecycle: A comprehensive multi-robot simulation approach376
Digital twin technology in modern machining: A comprehensive review of research on machining errors322
Bayesian neural networks for predicting quality in reclaimed waste sand for foundry applications306
Towards perceptive assembly: Real-time full-field deformation twin perception method for large components under parametric load220
Improved root cause analysis supporting resilient production systems213
Multi-objective complex product assembly scheduling problem considering parallel team and worker skills211
Real-time occlusion handling for augmented reality assistance assembly systems with monocular images207
Knowledge graph-based manufacturing process planning: A state-of-the-art review203
Machine learning approach in non-intrusive monitoring of tool wear evolution in massive CFRP automatic drilling processes in the aircraft industry178
A dynamic artificial bee colony for fuzzy distributed energy-efficient hybrid flow shop scheduling with batch processing machines170
From Nash Q-learning to nash-MADDPG: Advancements in multiagent control for multiproduct flexible manufacturing systems162
Zero Defect Manufacturing: A complete guide for advanced and sustainable quality management160
Deep reinforcement learning-based dynamic scheduling for resilient and sustainable manufacturing: A systematic review152
Efficient stochastic parametric estimation for lithium-ion battery performance degradation tracking and prognosis151
Data-driven carbon emission accounting for manufacturing systems based on meta-carbon-emission block148
Joint production, inspection and maintenance control policies for deteriorating system under quality constraint145
Methodology for the selection of manufacturing technology chains based on ecologic and economic performance indicators135
Enabling adaptability and resilience of a global production network: A model to evaluate capital and operational expenses of reconfigurable production systems135
A new visual-guided and partition-based multi-setup 3D printing system132
Profile extraction and defect detection for stereolithography curing process based on multi-regularized tensor decomposition130
On the feasibility of an integrated English wheel system125
Surface roughness prediction through GAN-synthesized power signal as a process signature124
Manufacturing service capability prediction with Graph Neural Networks124
AEKD: Unsupervised auto-encoder knowledge distillation for industrial anomaly detection123
Solving task scheduling problems in cloud manufacturing via attention mechanism and deep reinforcement learning120
Ensuring additive manufacturing quality and cyber–physical security via side-channel measurements and transmissions119
Dynamic scheduling of tasks in cloud manufacturing with multi-agent reinforcement learning118
Towards smart layout design for a reconfigurable manufacturing system116
Deep reinforcement learning for optimal planning of assembly line maintenance116
A hybrid genetic tabu search algorithm for distributed flexible job shop scheduling problems110
An LLM-based vision and language cobot navigation approach for Human-centric Smart Manufacturing108
Architecture for data-centric and semantic-enhanced industrial metaverse: Bridging physical factories and virtual landscape108
Advancing human-robot collaboration: Predicting operator trajectories through AI and infrared imaging107
A vision-language-guided robotic action planning approach for ambiguity mitigation in human–robot collaborative manufacturing104
Online quality inspection of resistance spot welding for automotive production lines104
Evaluation of 5G-capable framework for highly mobile, scalable human-machine interfaces in cyber-physical production systems102
Generative adversarial network for early-stage design flexibility in topology optimization for additive manufacturing100
Deep neural network and meta-learning-based reactive sputtering with small data sample counts100
Editorial Board99
Machine identity authentication via unobservable fingerprinting signature: A functional data analysis approach for MQTT 5.0 protocol99
An end-to-end big data analytics platform for IoT-enabled smart factories: A case study of battery module assembly system for electric vehicles99
A causal based method for denoising non-homologous noises in time series manufacturing monitoring data98
Editorial Board96
A high-flexible multi-objective stochastic planning system based on nozzle-combined printing in display manufacturing95
A multi-level action coupling reinforcement learning approach for online two-stage flexible assembly flow shop scheduling94
A holistic sustainability framework for remanufacturing under uncertainty93
Securing cyber-physical additive manufacturing systems by in-situ process authentication using streamline video analysis93
Optimisation of mixed-model assembly line balancing problem under uncertain demand92
Integrated Quality, Maintenance and Production model for multivariate processes: A Bayesian Approach92
Role of additive manufacturing in medical application COVID-19 scenario: India case study91
Integrated operation planning and process adjustment for optimum cost with attention to manufacturing quality and waste90
Solving multi-objective hybrid flowshop lot-streaming scheduling with consistent and limited sub-lots via a knowledge-based memetic algorithm89
A leanness assessment methodology based on neutrosophic DEMATEL86
LogicLSTM: Logically-driven long short-term memory model for fault diagnosis in gearboxes85
A support-design framework for Cooperative Robots systems in labor-intensive manufacturing processes85
Optimizing burn-in and predictive maintenance for enhanced reliability in manufacturing systems: A two-unit series system approach85
A multi-level adaptation scheme for hierarchical bearing fault diagnosis under variable working conditions84
Functional state-space model for multi-channel autoregressive profiles with application in advanced manufacturing83
Machine learning classification of surface fracture in ultra-precision diamond turning using CSI intensity map images83
A novel MR remote collaboration system using 3D spatial area cue and visual notification83
Parametrization of manual work in automotive assembly for wearable force sensing82
A milling tool wear monitoring method with sensing generalization capability80
Joint multi-objective dynamic scheduling of machine tools and vehicles in a workshop based on digital twin77
A cascaded combination method for defect detection of metal gear end-face76
Structural on-line control policy for collision and deadlock resolution in multi-AGV systems76
A learning workflow based on an integrated digital toolkit to support education in manufacturing system engineering75
A local manipulation path replanning algorithm on deformable linear objects for collisions resulted from model deviation74
Evaluation framework of digital characteristics (DC) enhanced lubricant: Consideration of essential geometric features for hot-stamped components74
CNN-based in situ tool wear detection: A study on model training and data augmentation in turning inserts73
Employing deep reinforcement learning for machining process planning: An improved framework73
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