Content
April 2023, Volume 34, Issue 4
- 1743-1759 Intelligent monitoring of multi-axis robots for online diagnostics of unknown arm deviations
by Moncef Soualhi & Khanh T. P. Nguyen & Kamal Medjaher & Denis Lebel & David Cazaban - 1761-1761 Correction to: Intelligent monitoring of multi-axis robots for online diagnostics of unknown arm deviations
by Moncef Soualhi & Khanh T. P. Nguyen & Kamal Medjaher & Denis Lebel & David Cazaban - 1763-1778 An improved artificial algae algorithm integrated with differential evolution for job-shop scheduling problem
by Abdelmonem M. Ibrahim & Mohamed A. Tawhid - 1779-1794 SPRBF-ABLS: a novel attention-based broad learning systems with sparse polynomial-based radial basis function neural networks
by Jing Wang & Shubin Lyu & C. L. Philip Chen & Huimin Zhao & Zhengchun Lin & Pingsheng Quan - 1795-1813 Hybrid data augmentation method for combined failure recognition in rotating machines
by Dionísio H. C. S. S. Martins & Amaro A. Lima & Milena F. Pinto & Douglas de O. Hemerly & Thiago de M. Prego & Fabrício L. e Silva & Luís Tarrataca & Ulisses A. Monteiro & Ricardo H. R. Gutiérrez & Diego B. Haddad - 1815-1831 An LSTM-autoencoder based online side channel monitoring approach for cyber-physical attack detection in additive manufacturing
by Zhangyue Shi & Abdullah Al Mamun & Chen Kan & Wenmeng Tian & Chenang Liu - 1833-1874 Improved multi-core arithmetic optimization algorithm-based ensemble mutation for multidisciplinary applications
by Laith Abualigah & Ali Diabat - 1875-1893 A Smart system in Manufacturing with Mass Personalization (S-MMP) for blueprint and scenario driven by industrial model transformation
by Xianyu Zhang & Xinguo Ming - 1895-1909 An end-to-end welding defect detection approach based on titanium alloy time-of-flight diffraction images
by Zelin Zhi & Hongquan Jiang & Deyan Yang & Jianmin Gao & Quansheng Wang & Xiaoqiao Wang & Jingren Wang & Yongxiang Wu - 1911-1940 Enhanced cuckoo search algorithm for industrial winding process modeling
by Malik Braik & Alaa Sheta & Heba Al-Hiary & Sultan Aljahdali - 1941-1963 Recognition of abnormal patterns in industrial processes with variable window size via convolutional neural networks and AdaBoost
by Ahmed Maged & Min Xie - 1965-1974 Deep graph feature learning-based diagnosis approach for rotating machinery using multi-sensor data
by Kaibo Zhou & Chaoying Yang & Jie Liu & Qi Xu - 1975-1993 Predicting part distortion field in additive manufacturing: a data-driven framework
by Osama Aljarrah & Jun Li & Alfa Heryudono & Wenzhen Huang & Jing Bi - 1995-2011 Automated surface defect detection framework using machine vision and convolutional neural networks
by Swarit Anand Singh & K. A. Desai - 2013-2026 Robust modeling method for thermal error of CNC machine tools based on random forest algorithm
by Mengrui Zhu & Yun Yang & Xiaobing Feng & Zhengchun Du & Jianguo Yang - 2027-2042 A novel process planning method of 3 + 2-axis additive manufacturing for aero-engine blade based on machine learning
by Chenglin Li & Baohai Wu & Zhao Zhang & Ying Zhang - 2043-2059 Data-driven product configuration improvement and product line restructuring with text mining and multitask learning
by Zhen-Yu Chen & Xin-Li Liu & Li-Ping Yin
March 2023, Volume 34, Issue 3
- 905-929 Reinforcement learning applications to machine scheduling problems: a comprehensive literature review
by Behice Meltem Kayhan & Gokalp Yildiz - 931-960 Artificial intelligence application in fault diagnostics of rotating industrial machines: a state-of-the-art review
by Vikas Singh & Purushottam Gangsar & Rajkumar Porwal & A. Atulkar - 961-984 Maximum angle evolutionary selection for many-objective optimization algorithm with adaptive reference vector
by Zhijian Xiong & Jingming Yang & Zhiwei Zhao & Yongqiang Wang & Zhigang Yang - 985-1002 Application of artificial intelligence techniques in incremental forming: a state-of-the-art review
by Aniket Nagargoje & Pavan Kumar Kankar & Prashant Kumar Jain & Puneet Tandon - 1003-1020 Integrated approaches of BWM-QFD and FUCOM-QFD for improving weighting solution of design matrix
by Hamid Reza Fazeli & Qingjin Peng - 1021-1036 Business networks of women entrepreneurs: an analysis of the expectation and reality of factors that affect trust in a business network
by Juliana Moletta & Gustavo Dambiski Gomes Carvalho & Revenli Fernanda Nascimento & Bertiene Maria Lack Barboza & Luis Mauricio Resende & Joseane Pontes - 1037-1063 Analysis of link failures and recoveries on 6to4 tunneling network with different routing protocol
by Neha Jain & Ashish Payal & Aarti Jain - 1065-1083 Energy-time tradeoffs for remanufacturing system scheduling using an invasive weed optimization algorithm
by Wenjie Wang & Guangdong Tian & Gang Yuan & Duc Truong Pham - 1085-1103 Probabilistic predictive control of porosity in laser powder bed fusion
by Paromita Nath & Sankaran Mahadevan - 1105-1124 A novel transfer learning framework for chatter detection using convolutional neural networks
by Hakki Ozgur Unver & Batihan Sener - 1125-1164 Reference training system for intelligent manufacturing talent education: platform construction and curriculum development
by Shuting Wang & Jie Meng & Yuanlong Xie & Liquan Jiang & Han Ding & Xinyu Shao - 1165-1181 Towards industry 4.0 in practice: a novel RFID-based intelligent system for monitoring and optimisation of production systems
by Diego Augusto Jesus Pacheco & Carlos Fernando Jung & Marcelo Cunha Azambuja - 1183-1201 Machine learning aided design of conformal cooling channels for injection molding
by Zhenyang Gao & Guoying Dong & Yunlong Tang & Yaoyao Fiona Zhao - 1203-1227 Fourth-party logistics network design with service time constraint under stochastic demand
by Mingqiang Yin & Min Huang & Xiaohu Qian & Dazhi Wang & Xingwei Wang & Loo Hay Lee - 1229-1240 Method for fusion of neighborhood rough set and XGBoost in welding process decision-making
by Kainan Guan & Guang Yang & Liang Du & Zhengguang Li & Xinhua Yang - 1241-1257 Data-driven models for predictions of geometric characteristics of bead fabricated by selective laser melting
by Thai Le-Hong & Pai Chen Lin & Jian-Zhong Chen & Thinh Duc Quy Pham & Xuan Tran - 1259-1273 Real-time laser keyhole welding penetration state monitoring based on adaptive fusion images using convolutional neural networks
by Wang Cai & Ping Jiang & LeShi Shu & ShaoNing Geng & Qi Zhou - 1275-1291 Autonomous VOs management based on industry 4.0: a systematic literature review
by Cindy-Pamela Lopez & Jose Aguilar & Marco Santorum - 1293-1309 Recognizing defects in stainless steel welds based on multi-domain feature expression and self-optimization
by Rui Zhang & Na Zhao & Liuhu Fu & Xiaolu Bai & Jianghui Cai - 1311-1324 Simulation and deep reinforcement learning for adaptive dispatching in semiconductor manufacturing systems
by Ahmed H. Sakr & Ayman Aboelhassan & Soumaya Yacout & Samuel Bassetto - 1325-1346 A hybrid prognosis approach for life prediction of gears subjected to progressive pitting failure mode
by Pradeep Kundu & Makarand S.Kulkarni & Ashish K.Darpe - 1347-1368 A context-aware recommendation system for improving manufacturing process modeling
by Jiaxing Wang & Sibin Gao & Zhejun Tang & Dapeng Tan & Bin Cao & Jing Fan - 1369-1387 An ontology model for maintenance strategy selection and assessment
by Juan José Montero Jiménez & Rob Vingerhoeds & Bernard Grabot & Sébastien Schwartz - 1389-1407 RFID systems optimisation through the use of a new RFID network planning algorithm to support the design of receiving gates
by Henriette Knapp & Giovanni Romagnoli - 1409-1425 Texture surface defect detection of plastic relays with an enhanced feature pyramid network
by Feng Huang & Ben-wu Wang & Qi-peng Li & Jun Zou - 1427-1444 Autoencoder-based anomaly detection of industrial robot arm using stethoscope based internal sound sensor
by Huitaek Yun & Hanjun Kim & Young Hun Jeong & Martin B. G. Jun - 1445-1467 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 environment
by Muhammad Ameer & Mohammed Dahane - 1469-1481 Welding monitoring and defect detection using probability density distribution and functional nonparametric kernel classifier
by Abdallah Amine Melakhsou & Mireille Batton-Hubert
February 2023, Volume 34, Issue 2
- 415-428 Challenges of modeling and analysis in cybermanufacturing: a review from a machine learning and computation perspective
by SungKu Kang & Ran Jin & Xinwei Deng & Ron S. Kenett - 429-453 An assembly timing planning method based on knowledge and mixed integer linear programming
by Jiahui Qian & Zhijing Zhang & Lingling Shi & Dan Song - 455-469 A data-driven method for performance analysis and improvement in production systems with quality inspection
by Jun-Qiang Wang & Yun-Lei Song & Peng-Hao Cui & Yang Li - 471-471 Correction to: A data-driven method for performance analysis and improvement in production systems with quality inspection
by Jun-Qiang Wang & Yun-Lei Song & Peng-Hao Cui & Yang Li - 473-491 A low-cost intelligent tracking system for clothing manufacturers
by Yen Sheng Tsai & Wei-Hsi Hung - 493-514 Scheduling of a class of partial routing FMS in uncertain environments with beam search
by G. Cherif & E. Leclercq & D. Lefebvre - 515-527 A novel parallel classification network for classifying three-dimensional surface with point cloud data
by Chen Zhao & Shichang Du & Jun Lv & Yafei Deng & Guilong Li - 529-540 A variational autoencoder for a semiconductor fault detection model robust to process drift due to incomplete maintenance
by Youngju Kim & Hoyeop Lee & Chang Ouk Kim - 541-564 Collaborative knowledge management to identify data analytics opportunities in additive manufacturing
by Hyunseop Park & Hyunwoong Ko & Yung-tsun Tina Lee & Shaw Feng & Paul Witherell & Hyunbo Cho - 565-585 A data-driven method of selective disassembly planning at end-of-life under uncertainty
by Yicong Gao & Shanhe Lou & Hao Zheng & Jianrong Tan - 587-613 Deep transfer learning based on dynamic domain adaptation for remaining useful life prediction under different working conditions
by Han Cheng & Xianguang Kong & Qibin Wang & Hongbo Ma & Shengkang Yang & Gaige Chen - 615-631 Towards the efficient generation of variant design in product development networks: network nodes importance based product configuration evaluation approach
by Yuming Guo - 633-649 An individualized system of skeletal data-based CNN classifiers for action recognition in manufacturing assembly
by Md. Al-Amin & Ruwen Qin & Md Moniruzzaman & Zhaozheng Yin & Wenjin Tao & Ming C. Leu - 651-668 A data-driven workflow for evaporation performance degradation analysis: a full-scale case study in the herbal medicine manufacturing industry
by Sheng Zhang & Xinyuan Xie & Haibin Qu - 669-682 A hybrid off-line/on-line quality control approach for real-time monitoring of high-density datasets
by Romina Dastoorian & Lee J. Wells - 683-693 In-situ monitoring laser based directed energy deposition process with deep convolutional neural network
by Jiqian Mi & Yikai Zhang & Hui Li & Shengnan Shen & Yongqiang Yang & Changhui Song & Xin Zhou & Yucong Duan & Junwen Lu & Haibo Mai - 695-717 Self learning-empowered thermal error control method of precision machine tools based on digital twin
by Chi Ma & Hongquan Gui & Jialan Liu - 719-737 Predicting the quality of a machined workpiece with a variational autoencoder approach
by Antoine Proteau & Antoine Tahan & Ryad Zemouri & Marc Thomas - 739-751 Voxel-based sensor placement for additive manufacturing applications
by Nuwan Munasinghe & Thomas Romeijn & Gavin Paul - 753-769 Design and application of digital twin system for the blade-rotor test rig
by Jian-Guo Duan & Tian-Yu Ma & Qing-Lei Zhang & Zhen Liu & Ji-Yun Qin - 771-788 Knowledge-driven framework for industrial robotic systems
by Timon Hoebert & Wilfried Lepuschitz & Markus Vincze & Munir Merdan - 789-807 Adaptive obstacle avoidance in path planning of collaborative robots for dynamic manufacturing
by Yudie Hu & Yuqi Wang & Kaixiong Hu & Weidong Li - 809-821 Part machining feature recognition based on a deep learning method
by Fangwei Ning & Yan Shi & Maolin Cai & Weiqing Xu - 823-852 A hybrid evolutionary algorithm approach for estimating the throughput of short reliable approximately balanced production lines
by Konstantinos S. Boulas & Georgios D. Dounias & Chrissoleon T. Papadopoulos - 853-867 In situ quality inspection with layer-wise visual images based on deep transfer learning during selective laser melting
by Jingchang Li & Qi Zhou & Xufeng Huang & Menglei Li & Longchao Cao - 869-884 Automatic recognition of hot spray marking dot-matrix characters for steel-slab industry
by Junhui Ge & Licheng Liu & Junxi Sun & Hong Zhao & Langming Zhou & Tianle Cheng & Changyan Xiao - 885-902 An approach for tool wear prediction using customized DenseNet and GRU integrated model based on multi-sensor feature fusion
by Xianli Liu & Bowen Zhang & Xuebing Li & Shaoyang Liu & Caixu Yue & Steven Y. Liang - 903-903 Retraction Note: Visual sensor intelligent module based image transmission in industrial manufacturing for monitoring and manipulation problems
by Bilal S. A. Alhayani & Haci llhan
January 2023, Volume 34, Issue 1
- 1-19 Smart retrofitting in maintenance: a systematic literature review
by David Sanchez-Londono & Giacomo Barbieri & Luca Fumagalli - 21-55 Machine learning techniques in additive manufacturing: a state of the art review on design, processes and production control
by Sachin Kumar & T. Gopi & N. Harikeerthana & Munish Kumar Gupta & Vidit Gaur & Grzegorz M. Krolczyk & ChuanSong Wu - 57-83 Data-driven dynamic causality analysis of industrial systems using interpretable machine learning and process mining
by Karim Nadim & Ahmed Ragab & Mohamed-Salah Ouali - 85-106 Human factors in cobot era: a review of modern production systems features
by Maurizio Faccio & Irene Granata & Alberto Menini & Mattia Milanese & Chiara Rossato & Matteo Bottin & Riccardo Minto & Patrik Pluchino & Luciano Gamberini & Giovanni Boschetti & Giulio Rosati - 107-121 From knowledge-based to big data analytic model: a novel IoT and machine learning based decision support system for predictive maintenance in Industry 4.0
by Riccardo Rosati & Luca Romeo & Gianalberto Cecchini & Flavio Tonetto & Paolo Viti & Adriano Mancini & Emanuele Frontoni - 123-149 Hybrid algorithm based on reinforcement learning for smart inventory management
by Carlos Cuartas & Jose Aguilar - 151-180 Attention-based advantage actor-critic algorithm with prioritized experience replay for complex 2-D robotic motion planning
by Chengmin Zhou & Bingding Huang & Haseeb Hassan & Pasi Fränti - 181-196 Recursive encoder network for the automatic analysis of STEP files
by Victoria Miles & Stefano Giani & Oliver Vogt - 197-218 Instant flow distribution network optimization in liquid composite molding using deep reinforcement learning
by Martin Szarski & Sunita Chauhan - 219-241 Optimisation-driven design to explore and exploit the process–structure–property–performance linkages in digital manufacturing
by Iñigo Flores Ituarte & Suraj Panicker & Hari P. N. Nagarajan & Eric Coatanea & David W. Rosen - 243-259 GPyro: uncertainty-aware temperature predictions for additive manufacturing
by Iason Sideris & Francesco Crivelli & Markus Bambach - 261-279 Polygon generation and video-to-video translation for time-series prediction
by Mohamed Elhefnawy & Ahmed Ragab & Mohamed-Salah Ouali - 281-301 Utilizing additive manufacturing and mass customization under capacity constraints
by Rachel Lacroix & Anna Timonina-Farkas & Ralf W. Seifert - 303-314 Automated 3D burr detection in cast manufacturing using sparse convolutional neural networks
by Ahmed Mohammed & Johannes Kvam & Ingrid Fjordheim Onstein & Marianne Bakken & Helene Schulerud - 315-329 A deep learning framework for layer-wise porosity prediction in metal powder bed fusion using thermal signatures
by Yuwei Mao & Hui Lin & Christina Xuan Yu & Roger Frye & Darren Beckett & Kevin Anderson & Lars Jacquemetton & Fred Carter & Zhangyuan Gao & Wei-keng Liao & Alok N. Choudhary & Kornel Ehmann & Ankit Agrawal - 331-367 Investigation and machine learning-based prediction of parametric effects of single point incremental forming on pillow effect and wall profile of AlMn1Mg1 aluminum alloy sheets
by Sherwan Mohammed Najm & Imre Paniti - 369-385 Development of a surrogate model for high-fidelity laser powder-bed fusion using tensor train and gaussian process regression
by Umesh Kizhakkinan & Pham Luu Trung Duong & Robert Laskowski & Guglielmo Vastola & David W. Rosen & Nagarajan Raghavan - 387-413 Stability modeling for chatter avoidance in self-aware machining: an application of physics-guided machine learning
by Noel P. Greis & Monica L. Nogueira & Sambit Bhattacharya & Catherine Spooner & Tony Schmitz
December 2022, Volume 33, Issue 8
- 2193-2205 Current status, challenges and opportunities of sustainable ultra-precision manufacturing
by Wai Sze Yip & Suet To & Hongting Zhou - 2207-2222 A mixed adversarial adaptation network for intelligent fault diagnosis
by Jinyang Jiao & Ming Zhao & Jing Lin & Kaixuan Liang & Chuancang Ding - 2223-2238 An on-machine tool path generation method based on hybrid and local point cloud registration for laser deburring of ceramic cores
by Wangwang Huang & Xuesong Mei & Gedong Jiang & Dongxiang Hou & Yifei Bi & Yuyan Wang - 2239-2256 Gaussian-process based modeling and optimal control of melt-pool geometry in laser powder bed fusion
by Yong Ren & Qian Wang - 2257-2275 Automated visual detection of geometrical defects in composite manufacturing processes using deep convolutional neural networks
by Abtin Djavadifar & John Brandon Graham-Knight & Marian Kӧrber & Patricia Lasserre & Homayoun Najjaran - 2277-2294 Failure prediction in production line based on federated learning: an empirical study
by Ning Ge & Guanghao Li & Li Zhang & Yi Liu - 2295-2306 A novel hypergraph convolution network-based approach for predicting the material removal rate in chemical mechanical planarization
by Liqiao Xia & Pai Zheng & Xiao Huang & Chao Liu - 2307-2320 An approach for designing smart manufacturing for the research and development of dye-sensitize solar cell
by Jorge L. Alonso-Perez & Selene L. Cardenas-Maciel & Balter Trujillo-Navarrete & Edgar A. Reynoso-Soto & Nohe R. Cazarez-Cazarez - 2321-2339 A gear machining error prediction method based on adaptive Gaussian mixture regression considering stochastic disturbance
by Dayuan Wu & Ping Yan & You Guo & Han Zhou & Jian Chen - 2341-2355 A closed-loop intelligent adjustment of process parameters in precise and micro hot-embossing using an in-process optic detection
by Kuo Lu & Jin Xie & Risen Wang & Lei Li & Wenzhe Li & Yuning Jiang - 2357-2369 Enhanced detection of diverse defects by developing lighting strategies using multiple light sources based on reinforcement learning
by Chih-Kai Cheng & Hung-Yin Tsai - 2371-2392 New metrics for measuring supply chain reconfigurability
by Slim Zidi & Nadia Hamani & Lyes Kermad - 2393-2407 “FabNER”: information extraction from manufacturing process science domain literature using named entity recognition
by Aman Kumar & Binil Starly - 2409-2439 Information fusion and systematic logic library-generation methods for self-configuration of autonomous digital twin
by Kyu Tae Park & Sang Ho Lee & Sang Do Noh - 2441-2455 An imbalanced data learning method for tool breakage detection based on generative adversarial networks
by Shixu Sun & Xiaofeng Hu & Yingchao Liu - 2457-2470 Task allocation and coordinated motion planning for autonomous multi-robot optical inspection systems
by Yinhua Liu & Wenzheng Zhao & Tim Lutz & Xiaowei Yue - 2471-2486 Quality monitoring in multistage manufacturing systems by using machine learning techniques
by Mohamed Ismail & Noha A. Mostafa & Ahmed El-assal - 2487-2487 Retraction Note: economic IoT strategy: the future technology for health monitoring and diagnostic of agriculture vehicles
by Neeraj Gupta & Saurabh Gupta & Mahdi Khosravy & Nilanjan Dey & Nisheeth Joshi & Rubén González Crespo & Nilesh Patel
October 2022, Volume 33, Issue 7
- 1879-1905 Machine learning and deep learning based predictive quality in manufacturing: a systematic review
by Hasan Tercan & Tobias Meisen - 1907-1919 Model predictive force control in milling based on an ensemble Kalman filter
by Max Schwenzer & Sebastian Stemmler & Muzaffer Ay & Adrian Karl Rüppel & Thomas Bergs & Dirk Abel - 1921-1937 A virtual sensor for backlash in robotic manipulators
by Eliana Giovannitti & Sayyidshahab Nabavi & Giovanni Squillero & Alberto Tonda - 1939-1966 Switching strategy-based hybrid evolutionary algorithms for job shop scheduling problems
by Shahed Mahmud & Ripon K. Chakrabortty & Alireza Abbasi & Michael J. Ryan - 1967-1989 Hybrid prediction-optimization approaches for maximizing parts density in SLM of Ti6Al4V titanium alloy
by A. Costa & G. Buffa & D. Palmeri & G. Pollara & L. Fratini - 1991-2012 The use of Fuzzy rule-based systems in the design process of the metallic products on example of microstructure evolution prediction
by Andrzej Macioł & Piotr Macioł - 2013-2025 Single system for online monitoring and inspection of automated fiber placement with object segmentation by artificial neural networks
by Marco Brysch & Mohammad Bahar & Hans Christoph Hohensee & Michael Sinapius - 2027-2043 Understanding unforeseen production downtimes in manufacturing processes using log data-driven causal reasoning
by Christopher Hagedorn & Johannes Huegle & Rainer Schlosser - 2045-2057 Process optimization via confidence region: a case study from micro-injection molding
by Gianluca Trotta & Stefania Cacace & Quirico Semeraro - 2059-2073 A hybrid genetic algorithm for parallel machine scheduling with setup times
by J. Adan - 2075-2092 An unsupervised defect detection model for a dry carbon fiber textile
by Martin Szarski & Sunita Chauhan - 2093-2117 In-process monitoring and prediction of droplet quality in droplet-on-demand liquid metal jetting additive manufacturing using machine learning
by Aniruddha Gaikwad & Tammy Chang & Brian Giera & Nicholas Watkins & Saptarshi Mukherjee & Andrew Pascall & David Stobbe & Prahalada Rao - 2119-2128 A novel tracking system for the iron foundry field based on deep convolutional neural networks
by Michael Beck & Michael Layh & Markus Nebauer & Bernd R. Pinzer - 2129-2142 Capturing and incorporating expert knowledge into machine learning models for quality prediction in manufacturing
by Patrick Link & Miltiadis Poursanidis & Jochen Schmid & Rebekka Zache & Martin Kurnatowski & Uwe Teicher & Steffen Ihlenfeldt - 2143-2155 Relating wear stages in sheet metal forming based on short- and long-term force signal variations
by Philipp Niemietz & Mia J. K. Kornely & Daniel Trauth & Thomas Bergs - 2157-2165 Testing the reliability of monocular obstacle detection methods in a simulated 3D factory environment
by Marius Wenning & Anton Akira Backhaus & Tobias Adlon & Peter Burggräf - 2167-2178 A universal method to compare parts from STEP files
by Nishant Ojal & Brian Giera & Kyle T. Devlugt & Adam W. Jaycox & Alexander Blum - 2179-2191 Optimal droplet transfer mode maintenance for wire + arc additive manufacturing (WAAM) based on deep learning
by Jian Qin & Yipeng Wang & Jialuo Ding & Stewart Williams
August 2022, Volume 33, Issue 6
- 1561-1579 Machine learning in continuous casting of steel: a state-of-the-art survey
by David Cemernek & Sandra Cemernek & Heimo Gursch & Ashwini Pandeshwar & Thomas Leitner & Matthias Berger & Gerald Klösch & Roman Kern - 1581-1601 Applications of artificial intelligence in engineering and manufacturing: a systematic review
by Isaac Kofi Nti & Adebayo Felix Adekoya & Benjamin Asubam Weyori & Owusu Nyarko-Boateng - 1603-1638 A systematic mapping of semi-formal and formal methods in requirements engineering of industrial Cyber-Physical systems
by Farzana Zahid & Awais Tanveer & Matthew M. Y. Kuo & Roopak Sinha - 1639-1647 A framework for a knowledge based cold spray repairing system
by Hongjian Wu & Shaowu Liu & Xinliang Xie & Yicha Zhang & Hanlin Liao & Sihao Deng - 1649-1663 A machine vision-based defect detection system for nuclear-fuel rod groove
by Xinyu Suo & Jian Liu & Licheng Dong & Chen Shengfeng & Lu Enhui & Chen Ning - 1665-1680 Deep learning for machine health prognostics using Kernel-based feature transformation
by Shanmugasivam Pillai & Prahlad Vadakkepat - 1681-1698 Similarity-based approach for inventive design solutions assistance
by Xin Ni & Ahmed Samet & Denis Cavallucci - 1699-1713 Nonparametric-copula-entropy and network deconvolution method for causal discovery in complex manufacturing systems
by Yanning Sun & Wei Qin & Zilong Zhuang - 1715-1724 Novel method for detection of mixed-type defect patterns in wafer maps based on a single shot detector algorithm
by Tae San Kim & Jong Wook Lee & Won Kyung Lee & So Young Sohn - 1725-1746 Research on flexible job-shop scheduling problem in green sustainable manufacturing based on learning effect
by Zhao Peng & Huan Zhang & Hongtao Tang & Yue Feng & Weiming Yin - 1747-1759 Explainable AI for domain experts: a post Hoc analysis of deep learning for defect classification of TFT–LCD panels
by Minyoung Lee & Joohyoung Jeon & Hongchul Lee - 1761-1777 An electric forklift routing problem with battery charging and energy penalty constraints
by Seokgi Lee & Hyun Woo Jeon & Mona Issabakhsh & Ahmad Ebrahimi - 1779-1794 A fast method for monitoring molten pool in infrared image streams using gravitational superpixels
by Angel-Iván García-Moreno - 1795-1812 Fuzzy harmony search based optimal control strategy for wireless cyber physical system with industry 4.0
by Mustufa Haider Abidi & Hisham Alkhalefah & Usama Umer - 1813-1828 Machining quality monitoring (MQM) in laser-assisted micro-milling of glass using cutting force signals: an image-based deep transfer learning
by Yunhan Kim & Taekyum Kim & Byeng D. Youn & Sung-Hoon Ahn - 1829-1841 A path planning algorithm for PCB surface quality automatic inspection
by Zheng Xiao & Zhenan Wang & Deng Liu & Hui Wang - 1843-1858 Machine learning-based optimization of process parameters in selective laser melting for biomedical applications
by Hong Seok Park & Dinh Son Nguyen & Thai Le-Hong & Xuan Tran - 1859-1877 Discovering critical KPI factors from natural language in maintenance work orders
by Madhusudanan Navinchandran & Michael E. Sharp & Michael P. Brundage & Thurston B. Sexton
June 2022, Volume 33, Issue 5
- 1189-1207 Pitfalls and protocols of data science in manufacturing practice
by Chia-Yen Lee & Chen-Fu Chien - 1209-1227 Mathematization of experts knowledge: example of part orientation in additive manufacturing
by Mouhamadou Mansour Mbow & Christelle Grandvallet & Frederic Vignat & Philippe Rene Marin & Nicolas Perry & Franck Pourroy - 1229-1253 Comprehensive learning Jaya algorithm for engineering design optimization problems
by Yiying Zhang & Zhigang Jin - 1255-1271 MWRSPCA: online fault monitoring based on moving window recursive sparse principal component analysis
by Jinping Liu & Jie Wang & Xianfeng Liu & Tianyu Ma & Zhaohui Tang - 1273-1336 An innovative hybrid algorithm for bound-unconstrained optimization problems and applications
by Raghav Prasad Parouha & Pooja Verma - 1337-1354 A novel approach in selective assembly with an arbitrary distribution to minimize clearance variation using evolutionary algorithms: a comparative study
by Lenin Nagarajan & Siva Kumar Mahalingam & Jayakrishna Kandasamy & Selvakumar Gurusamy - 1355-1372 Spatial–temporal out-of-order execution for advanced planning and scheduling in cyber-physical factories
by Mingxing Li & Ray Y. Zhong & Ting Qu & George Q. Huang - 1373-1392 Serial number inspection for ceramic membranes via an end-to-end photometric-induced convolutional neural network framework
by Feiyang Li & Nian Cai & Xueliang Deng & Jiahao Li & Jianfa Lin & Han Wang - 1393-1417 Prediction of the parameters affecting the performance of compact heat exchangers with an innovative design using machine learning techniques
by Sinan Uguz & Osman Ipek - 1419-1432 An automatic calibration algorithm for laser vision sensor in robotic autonomous welding system
by Runquan Xiao & Yanling Xu & Zhen Hou & Chao Chen & Shanben Chen - 1433-1450 Diagnostics of industrial equipment and faults prediction based on modified algorithms of artificial immune systems
by Galina Samigulina & Zarina Samigulina - 1451-1465 A blockchain technology based trust system for cloud manufacturing
by Reza Vatankhah Barenji - 1467-1482 Modelling and prediction of surface roughness in wire arc additive manufacturing using machine learning
by Chunyang Xia & Zengxi Pan & Joseph Polden & Huijun Li & Yanling Xu & Shanben Chen - 1483-1502 A kMap optimized VMD-SVM model for milling chatter detection with an industrial robot
by Yu Wang & Mingkai Zhang & Xiaowei Tang & Fangyu Peng & Rong Yan - 1503-1519 An improved approach of task-parameterized learning from demonstrations for cobots in dynamic manufacturing
by Shirine El Zaatari & Yuqi Wang & Yudie Hu & Weidong Li - 1521-1530 Degradation principle of machines influenced by maintenance
by Yuanju Qu & Zengtao Hou - 1531-1544 Fault classification in the process industry using polygon generation and deep learning
by Mohamed Elhefnawy & Ahmed Ragab & Mohamed-Salah Ouali - 1545-1560 A framework for multi-robot coverage analysis of large and complex structures
by Penglei Dai & Mahdi Hassan & Xuerong Sun & Ming Zhang & Zhengwei Bian & Dikai Liu
April 2022, Volume 33, Issue 4
- 911-927 On reliability of reinforcement learning based production scheduling systems: a comparative survey
by Constantin Waubert de Puiseau & Richard Meyes & Tobias Meisen - 929-942 An estimation distribution algorithm for wave-picking warehouse management
by Jingran Liang & Zhengning Wu & Chenye Zhu & Zhi-Hai Zhang - 943-952 Surface roughness stabilization method based on digital twin-driven machining parameters self-adaption adjustment: a case study in five-axis machining
by Zengya Zhao & Sibao Wang & Zehua Wang & Shilong Wang & Chi Ma & Bo Yang - 953-972 A novel hybrid immune clonal selection algorithm for the constrained corridor allocation problem
by Junqi Liu & Zeqiang Zhang & Feng Chen & Silu Liu & Lixia Zhu - 973-983 Deep prototypical networks based domain adaptation for fault diagnosis
by Huanjie Wang & Xiwei Bai & Jie Tan & Jiechao Yang - 985-994 A real-time defective pixel detection system for LCDs using deep learning based object detectors
by Aslı Çelik & Ayhan Küçükmanisa & Aydın Sümer & Aysun Taşyapı Çelebi & Oğuzhan Urhan - 995-1005 Prediction of cell viability in dynamic optical projection stereolithography-based bioprinting using machine learning
by Heqi Xu & Qingyang Liu & Jazzmin Casillas & Mei Mcanally & Noshin Mubtasim & Lauren S. Gollahon & Dazhong Wu & Changxue Xu - 1007-1020 Synthetic data augmentation for surface defect detection and classification using deep learning
by Saksham Jain & Gautam Seth & Arpit Paruthi & Umang Soni & Girish Kumar - 1021-1030 Dispatching method based on particle swarm optimization for make-to-availability
by Robson Flavio Castro & Moacir Godinho-Filho & Roberto Fernandes Tavares-Neto - 1031-1055 Gear and bearing fault classification under different load and speed by using Poincaré plot features and SVM
by Rubén Medina & Jean Carlo Macancela & Pablo Lucero & Diego Cabrera & René-Vinicio Sánchez & Mariela Cerrada - 1057-1072 A sequential resampling approach for imbalanced batch process fault detection in semiconductor manufacturing
by Yi Zhang & Peng Peng & Chongdang Liu & Yanyan Xu & Heming Zhang - 1073-1086 Machine learning integrated design for additive manufacturing
by Jingchao Jiang & Yi Xiong & Zhiyuan Zhang & David W. Rosen - 1087-1098 Heuristic based approach for short term production planning in highly automated customer oriented pallet production
by Matthias Kaltenbrunner & Maria Anna Huka & Manfred Gronalt - 1099-1123 Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks
by Tobias Schlosser & Michael Friedrich & Frederik Beuth & Danny Kowerko - 1125-1138 Multi-objective optimisation of ultrasonically welded dissimilar joints through machine learning
by Patrick G. Mongan & Vedant Modi & John W. McLaughlin & Eoin P. Hinchy & Ronan M. O’Higgins & Noel P. O’Dowd & Conor T. McCarthy - 1139-1163 Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding
by Baifan Zhou & Tim Pychynski & Markus Reischl & Evgeny Kharlamov & Ralf Mikut - 1165-1180 Layer-by-layer model-based adaptive control for wire arc additive manufacturing of thin-wall structures
by Haochen Mu & Joseph Polden & Yuxing Li & Fengyang He & Chunyang Xia & Zengxi Pan - 1181-1188 Correction to: An effective approach for the dual-resource flexible job shop scheduling problem considering loading and unloading
by Xiuli Wu & Junjian Peng & Xiao Xiao & Shaomin Wu
March 2022, Volume 33, Issue 3
- 637-638 Universal manufacturing: data, resiliency, and sustainability linkages
by Andrew Kusiak - 639-674 Factors for choosing production control systems in make-to-order shops: a systematic literature review
by Fernando José Gómez Paredes & Moacir Godinho Filho & Matthias Thürer & Nuno O. Fernandes & Charbel José Chiappeta Jabbour - 675-685 On-line prediction of ultrasonic elliptical vibration cutting surface roughness of tungsten heavy alloy based on deep learning
by Yanan Pan & Renke Kang & Zhigang Dong & Wenhao Du & Sen Yin & Yan Bao - 687-702 A prediction approach of SLM based on the ensemble of metamodels considering material efficiency, energy consumption, and tensile strength
by Jingchang Li & Longchao Cao & Jiexiang Hu & Minhua Sheng & Qi Zhou & Peng Jin - 703-718 Optimization of the integrated fleet-level imperfect selective maintenance and repairpersons assignment problem
by A. Khatab & C. Diallo & E.-H. Aghezzaf & U. Venkatadri - 719-734 A clustering approach for modularizing service-oriented systems
by Omar Ezzat & Khaled Medini & Xavier Boucher & Xavier Delorme - 735-751 An effective adaptive adjustment method for service composition exception handling in cloud manufacturing
by Yankai Wang & Shilong Wang & Bo Yang & Bo Gao & Sibao Wang - 753-769 Assembly quality evaluation for linear axis of machine tool using data-driven modeling approach
by Yang Hui & Xuesong Mei & Gedong Jiang & Fei Zhao & Ziwei Ma & Tao Tao - 771-784 Automated inspection in robotic additive manufacturing using deep learning for layer deformation detection
by Omid Davtalab & Ali Kazemian & Xiao Yuan & Behrokh Khoshnevis - 785-798 Bayesian network for integrated circuit testing probe card fault diagnosis and troubleshooting to empower Industry 3.5 smart production and an empirical study
by Wenhan Fu & Chen-Fu Chien & Lizhen Tang - 799-807 Decision rule mining for machining method chains based on rough set theory
by Rui Wang & Xiangyu Guo & Shisheng Zhong & Gaolei Peng & Lin Wang - 809-830 An end-to-end fault diagnostics method based on convolutional neural network for rotating machinery with multiple case studies
by Yiwei Wang & Jian Zhou & Lianyu Zheng & Christian Gogu - 831-844 Ensemble convolutional neural networks with weighted majority for wafer bin map pattern classification
by Chia-Yu Hsu & Ju-Chien Chien - 845-852 Detecting voids in 3D printing using melt pool time series data
by Vivek Mahato & Muhannad Ahmed Obeidi & Dermot Brabazon & Pádraig Cunningham - 853-866 Prescribed performance fuzzy back-stepping control of a flexible air-breathing hypersonic vehicle subject to input constraints
by Hanqiao Huang & Chang Luo & Bo Han - 867-879 Bagging for Gaussian mixture regression in robot learning from demonstration
by Congcong Ye & Jixiang Yang & Han Ding - 881-895 Machine learning model to predict welding quality using air-coupled acoustic emission and weld inputs
by Kaiser Asif & Lu Zhang & Sybil Derrible & J. Ernesto Indacochea & Didem Ozevin & Brian Ziebart