Content
March 2025, Volume 36, Issue 3
- 1505-1545 Relational network of innovation ecosystems generated by digital innovation hubs: a conceptual framework for the interaction processes of DIHs from the perspective of collaboration within and between their relationship levels
by Julio C. Serrano-Ruiz & José Ferreira & Ricardo Jardim-Goncalves & Ángel Ortiz - 1547-1561 Intelligent factory layout design framework through collaboration between optimization, simulation, and digital twin
by Seon Han Choi & Byeong Soo Kim - 1563-1577 Cross-domain fusion and embedded refinement-based 6D object pose tracking on textureless objects
by Jichun Wang & Guifang Duan & Yang Wang & Guodong Yi & Liangyu Dong & Zili Wang & Xuewei Zhang & Shuyou Zhang - 1579-1602 Union channel pruning-based U2Net for online surface defect segmentation of aluminum strips in production processes
by Zehua Lv & Yibo Li & Siying Qian & Liuqing Wu & Yi Yang - 1603-1621 Enhancing spatiotemporal predictive learning: an approach with nested attention module
by Shaoping Wang & Ren Han - 1623-1635 An embedded TensorFlow lite model for classification of chip images with respect to chip morphology depending on varying feed
by Yusuf Özçevik & Fikret Sönmez - 1637-1657 Technical language processing for Prognostics and Health Management: applying text similarity and topic modeling to maintenance work orders
by Sarvesh Sundaram & Abe Zeid - 1659-1688 A digital twin-assisted deep transfer learning method towards intelligent thermal error modeling of electric spindles
by Shuai Ma & Jiewu Leng & Pai Zheng & Zhuyun Chen & Bo Li & Weihua Li & Qiang Liu & Xin Chen - 1689-1709 Simulation-based metaheuristic optimization algorithm for material handling
by Carolina Saavedra Sueldo & Ivo Perez Colo & Mariano Paula & Sebastián A. Villar & Gerardo G. Acosta - 1711-1721 Vision based process monitoring in wire arc additive manufacturing (WAAM)
by Jan Franke & Florian Heinrich & Raven T. Reisch - 1723-1742 Human–machine knowledge hybrid augmentation method for surface defect detection based few-data learning
by Yu Gong & Xiaoqiao Wang & Chichun Zhou & Maogen Ge & Conghu Liu & Xi Zhang - 1743-1760 A novel approach to enhance defect detection in wire arc additive manufacturing parts using radiographic testing without surface milling
by Mahjoub El Mountassir & Didier Flotte & Slah Yaacoubi & Eric Riff & Morgan Ferrari & Daniel Chauveau & Clément Bourlet & Sacha Bernet - 1761-1779 Collaborative optimization of manufacturing service allocation via multi-task transfer learning evolutionary approach
by Jiajun Zhou & Liang Gao & Chao Lu & Xifan Yao - 1781-1799 Fidelity-adaptive evolutionary optimization algorithm for 2D irregular cutting and packing problem
by Yizhe Yang & Bingshan Liu & Xin Li & Qingfeng Jia & Wenyan Duan & Gong Wang - 1801-1818 A kind of intelligent dynamic industrial event knowledge graph and its application in process stability evaluation
by Qingzong Li & Pingyu Jiang & Jianwei Wang & Maolin Yang & Yuqian Yang - 1819-1833 Smart process mapping of powder bed fusion additively manufactured metallic wicks using surrogate modeling
by Mohammad Borumand & Saideep Nannapaneni & Gurucharan Madiraddy & Michael P. Sealy & Sima Esfandiarpour Borujeni & Gisuk Hwang - 1835-1859 A predictive modelling strategy for warpage and shrinkage defects in plastic injection molding using fuzzy logic and pattern search optimization
by Steven O. Otieno & Job M. Wambua & Fredrick M. Mwema & Edwell T. Mharakurwa & Tien-Chien Jen & Esther T. Akinlabi - 1861-1877 BCTMSSF: a blockchain consensus-based traceability method for supply chain in smart factory
by Hang Zhao & Kai Hu & Zehui Yuan & Shaowen Yao & Libo Feng - 1879-1905 Synthetic data generation using finite element method to pre-train an image segmentation model for defect detection using infrared thermography
by Kaushal Arun Pareek & Daniel May & Peter Meszmer & Mohamad Abo Ras & Bernhard Wunderle - 1907-1921 A novel joint segmentation approach for wafer surface defect classification based on blended network structure
by Zhouzhouzhou Mei & Yuening Luo & Yibo Qiao & Yining Chen - 1923-1942 Virtual metrology for chemical mechanical planarization of semiconductor wafers
by Balamurugan Deivendran & Vishnu Swaroopji Masampally & Naga Ravikumar Varma Nadimpalli & Venkataramana Runkana - 1943-1958 Bayesian inference for multi-label classification for root cause analysis and probe card maintenance decision support and an empirical study
by Chen-Fu Chien & Jia-Yu Peng - 1959-1982 Multiple operational mode prediction at milling tool-tip based on transfer learning
by Kai Zhou & Feng Feng & Jianjian Wang & Pingfa Feng - 1983-1997 Sheet resistance prediction of laser induced graphitic carbon with transformer encoder-enabled contrastive learning
by Yupeng Wei & Gerd Grau & Dazhong Wu - 1999-2016 AutoML-driven diagnostics of the feeder motor in fused filament fabrication machines from direct current signals
by Sean Rooney & Emil Pitz & Kishore Pochiraju - 2017-2037 Development of a melt pool characteristics detection platform based on multi-information fusion of temperature fields and photodiode signals in plasma arc welding
by Zhuangzhuang Mao & Wei Feng & Xiao Han & Heng Ma & Ce Hao & Changmeng Liu & Zhanwei Liu - 2039-2053 In-process surface quality monitoring of the slender workpiece machining with digital twin approach
by Kaibo Lu & Zhen Li & Andrew Longstaff - 2055-2077 A novel curved surface profile monitoring approach based on geometrical-spatial joint feature
by Yiping Shao & Jun Chen & Xiaoli Gu & Jiansha Lu & Shichang Du - 2079-2104 Traditional machine learning and deep learning for predicting melt-pool cross-sectional morphology of laser powder bed fusion additive manufacturing with thermographic monitoring
by Haijie Wang & Bo Li & Saifan Zhang & Fuzhen Xuan - 2105-2119 Machine learning-enabled real-time anomaly detection for electron beam powder bed fusion additive manufacturing
by Davide Cannizzaro & Paolo Antonioni & Francesco Ponzio & Manuela Galati & Edoardo Patti & Santa Cataldo - 2121-2139 Engineering and evaluating an unsupervised predictive maintenance solution: a cold-forming press case-study
by Apostolos Giannoulidis & Anastasios Gounaris & Athanasios Naskos & Nikodimos Nikolaidis & Daniel Caljouw - 2141-2162 Monocrystalline silicon crystal line detection based on the improved YoloX-tiny algorithm
by Yuting She & Hongxin Li - 2163-2175 CowSSL: contrastive open-world semi-supervised learning for wafer bin map
by Insung Baek & Sung Jin Hwang & Seoung Bum Kim - 2177-2192 Knowledge distillation-based information sharing for online process monitoring in decentralized manufacturing system
by Zhangyue Shi & Yuxuan Li & Chenang Liu - 2193-2219 Manifold learning-assisted uncertainty quantification of system parameters in the fiber metal laminates hot forming process
by Xin Wang & Xinchao Jiang & Hu Wang & Guangyao Li
February 2025, Volume 36, Issue 2
- 703-764 Prediction of cutting force via machine learning: state of the art, challenges and potentials
by Meng Liu & Hui Xie & Wencheng Pan & Songlin Ding & Guangxian Li - 765-800 Systematic comparison of software agents and Digital Twins: differences, similarities, and synergies in industrial production
by Lasse M. Reinpold & Lukas P. Wagner & Felix Gehlhoff & Malte Ramonat & Maximilian Kilthau & Milapji S. Gill & Jonathan T. Reif & Vincent Henkel & Lena Scholz & Alexander Fay - 801-831 Digital twin for product versus project lifecycles’ development in manufacturing and construction industries
by F. H. Abanda & N. Jian & S. Adukpo & V. V. Tuhaise & M. B. Manjia - 833-851 Non-planar slicing for filled free-form geometries in robot-based FDM
by Federico Insero & Valentina Furlan & Hermes Giberti - 853-874 Study on anti-interference detection of machining surface defects under the influence of complex environment
by Wei Chen & Bin Zou & Ting Lei & Qinbing Zheng & Chuanzhen Huang & Lei Li & Jikai Liu - 875-895 Neural-network-based automatic trajectory adaptation for quality characteristics control in powder compaction
by Hoomaan MoradiMaryamnegari & Seif-El-Islam Hasseni & Elias Ganthaler & Thomas Villgrattner & Angelika Peer - 897-908 Post-processing of powder bed fused stainless steel: micro-machining and micro-electrical discharge machining
by Andrea Abeni & Mariangela Quarto & Paola Serena Ginestra - 909-933 Real-time monitoring and quality assurance for laser-based directed energy deposition: integrating co-axial imaging and self-supervised deep learning framework
by Vigneashwara Pandiyan & Di Cui & Roland Axel Richter & Annapaola Parrilli & Marc Leparoux - 935-955 Online tool condition monitoring in micromilling using LSTM
by Ashish Manwar & Alwin Varghese & Sumant Bagri & Suhas S. Joshi - 957-974 eXplainable artificial intelligence for automatic defect detection in additively manufactured parts using CT scan analysis
by Harsh Bordekar & Nicola Cersullo & Marco Brysch & Jens Philipp & Christian Hühne - 975-1001 A component-based design approach for energy flexibility in cyber-physical manufacturing systems
by Fadi Assad & Emma J. Rushforth & Robert Harrison - 1003-1020 Improving imbalanced industrial datasets to enhance the accuracy of mechanical property prediction and process optimization for strip steel
by Feifei Li & Anrui He & Yong Song & Chengzhe Shen & Fenjia Wang & Tieheng Yuan & Shiwei Zhang & Xiaoqing Xu & Yi Qiang & Chao Liu & Pengfei Liu & Qiangguo Zhao - 1021-1031 Semi-supervised learning for steel surface inspection using magnetic flux leakage signal
by Jae-Eun Park & Young-Keun Kim - 1033-1062 Generative adversarial networks and hessian locally linear embedding for geometric variations management in manufacturing
by Yifan Qie & Benjamin Schleich & Nabil Anwer - 1063-1094 Thermal-structure finite element simulation system architecture in a cloud-edge-end collaborative environment
by Jialan Liu & Chi Ma & Shilong Wang - 1095-1110 Machine-learning based process monitoring for automated composites manufacturing
by Ahmed Mujtaba & Faisal Islam & Patrick Kaeding & Thomas Lindemann & B. Gangadhara Prusty - 1111-1121 Neural lumped parameter differential equations with application in friction-stir processing
by James Koch & WoongJo Choi & Ethan King & David Garcia & Hrishikesh Das & Tianhao Wang & Ken Ross & Keerti Kappagantula - 1123-1139 A rotary extrusion system with a rectangular-orifice nozzle: toward adaptive resolution in material extrusion additive manufacturing
by Bahar Gharehpapagh & Ugur M. Dilberoglu & Ulas Yaman & Melik Dolen - 1141-1157 Embodied intelligence in manufacturing: leveraging large language models for autonomous industrial robotics
by Haolin Fan & Xuan Liu & Jerry Ying Hsi Fuh & Wen Feng Lu & Bingbing Li - 1159-1174 Human operator decision support for highly transient industrial processes: a reinforcement learning approach
by Jianqi Ruan & Bob Nooning & Ivan Parkes & Wal Blejde & George Chiu & Neera Jain - 1175-1199 Towards scalability for resource reconfiguration in robotic assembly line balancing problems using a modified genetic algorithm
by Marcel Albus & Timothée Hornek & Werner Kraus & Marco F. Huber - 1201-1235 Using GANs to predict milling stability from limited data
by Shahrbanoo Rezaei & Aaron Cornelius & Jaydeep Karandikar & Tony Schmitz & Anahita Khojandi - 1237-1260 Intelligent G-code-based power prediction of ultra-precision CNC machine tools through 1DCNN-LSTM-Attention model
by Zhicheng Xu & Vignesh Selvaraj & Sangkee Min - 1261-1290 A digital solution for CPS-based machining path optimization for CNC systems
by Lipeng Zhang & Haoyu Yu & Chuting Wang & Yi Hu & Wuwei He & Dong Yu - 1291-1310 Optimal data-driven control of manufacturing processes using reinforcement learning: an application to wire arc additive manufacturing
by Giulio Mattera & Alessandra Caggiano & Luigi Nele - 1311-1311 Correction: Optimal data-driven control of manufacturing processes using reinforcement learning: an application to wire arc additive manufacturing
by Giulio Mattera & Alessandra Caggiano & Luigi Nele - 1313-1339 Stacked encoded cascade error feedback deep extreme learning machine network for manufacturing order completion time
by Waqar Ahmed Khan & Mahmoud Masoud & Abdelrahman E. E. Eltoukhy & Mehran Ullah - 1341-1361 Automated porosity segmentation in laser powder bed fusion part using computed tomography: a validity study
by Catherine Desrosiers & Morgan Letenneur & Fabrice Bernier & Nicolas Piché & Benjamin Provencher & Farida Cheriet & François Guibault & Vladimir Brailovski - 1363-1384 Causal deep learning for explainable vision-based quality inspection under visual interference
by Tianbiao Liang & Tianyuan Liu & Junliang Wang & Jie Zhang & Pai Zheng - 1385-1407 Multi-objective sustainable production planning for a hybrid multi-stage manufacturing-remanufacturing system with grade-based classification of recovered and remanufactured products
by Houria Lahmar & Mohammed Dahane & Kinza Nadia Mouss & Mohammed Haoues - 1409-1427 Differential contrast guidance for aeroengine fault diagnosis with limited data
by Wenhui He & Lin Lin & Song Fu & Changsheng Tong & Lizheng Zu - 1429-1444 Multi-label oxide classification in float-zone silicon crystal growth using transfer learning and asymmetric loss
by Tingting Chen & Guido Tosello & Matteo Calaon - 1445-1457 Flexible dual-mode sensor with accurate contact pressure sensing and contactless distance detection functions for robotic perception
by Zhijian Chen & Yancheng Wang & Zhongtan Zhang & Deqing Mei & Weijie Liu - 1459-1476 Digital twin-driven real-time suppression of delamination damage in CFRP drilling
by Jielin Chen & Shuang Li & Hanwei Teng & Xiaolong Leng & Changping Li & Rendi Kurniawan & Tae Jo Ko - 1477-1490 NG-Net: No-Grasp annotation grasp detection network for stacked scenes
by Min Shi & Jingzhao Hou & Zhaoxin Li & Dengming Zhu - 1491-1503 Evaluation of data augmentation and loss functions in semantic image segmentation for drilling tool wear detection
by Elke Schlager & Andreas Windisch & Lukas Hanna & Thomas Klünsner & Elias Jan Hagendorfer & Tamara Feil
January 2025, Volume 36, Issue 1
- 1-3 Generative artificial intelligence in smart manufacturing
by Andrew Kusiak - 5-18 3DWS: reliable segmentation on intelligent welding systems with 3D convolutions
by J. Fernández & D. Valerieva & L. Higuero & B. Sahelices - 19-33 The asset administration shell as enabler for predictive maintenance: a review
by Jhonny Rodriguez Rahal & Alexander Schwarz & Benjamín Sahelices & Ronny Weis & Simon Duque Antón - 35-59 A survey on HoloLens AR in support of human-centric intelligent manufacturing
by Wei Fang & Tienong Zhang & Lixi Chen & Hao Hu - 61-93 Critical analysis of the impact of artificial intelligence integration with cutting-edge technologies for production systems
by Vincenzo Varriale & Antonello Cammarano & Francesca Michelino & Mauro Caputo - 95-145 Ontology of 3D virtual modeling in digital twin: a review, analysis and thinking
by Yuchen Wang & Xinheng Wang & Ang Liu & Junqing Zhang & Jinhua Zhang - 147-166 DL-MSCNN: a general and lightweight framework for fault diagnosis with limited training samples
by Xiaorui Shao & Ahyoung Lee & Chang-Soo Kim - 167-183 High accuracy roll forming springback prediction model of SVR based on SA-PSO optimization
by Jingsheng He & Shiyi Cu & Hui Xia & Yong Sun & Wenchao Xiao & Yinwang Ren - 185-208 Q-learning-based multi-objective particle swarm optimization with local search within factories for energy-efficient distributed flow-shop scheduling problem
by Wenqiang Zhang & Huili Geng & Chen Li & Mitsuo Gen & Guohui Zhang & Miaolei Deng - 209-219 Deep learning-based conductive particle inspection for TFT-LCDs inspired by parametric space envelope
by Chen Luo & Tingxiao Fan & Yan Xia & Yijun Zhou & Lei Jia & Baocheng Hui - 221-242 Enhanced modeling method of thermal behaviors in machine tool motorized spindles based on the mixture of thermal mechanism and machine learning
by Yun Yang & Jun Lv & Yukun Xiao & Xiaobing Feng & Zhengchun Du - 243-257 Eco-friendly smart design strategy for integrated semiconductor processes
by Chih-Yao Lin & Pin-Ru Chen - 259-270 Multi-source wafer map retrieval based on contrastive learning for root cause analysis in semiconductor manufacturing
by Wei-Jyun Hong & Chia-Yu Shen & Pei-Yuan Wu - 271-284 Wafer map defect recognition based on multi-scale feature fusion and attention spatial pyramid pooling
by Shouhong Chen & Zhentao Huang & Tao Wang & Xingna Hou & Jun Ma - 285-301 Investigation on eXtreme Gradient Boosting for cutting force prediction in milling
by Thomas Heitz & Ning He & Addi Ait-Mlouk & Daniel Bachrathy & Ni Chen & Guolong Zhao & Liang Li - 303-317 CENet: improve counting performance of X-ray surface mounted chip counter via scale favor and cell extraction
by Yuanzhao Shao & Yonghong Song - 319-330 Shape prior guided defect pattern classification and segmentation in wafer bin maps
by Rui Wang & Songhao Wang & Ben Niu - 331-355 Tool wear classification in precision machining using distance metrics and unsupervised machine learning
by Debasish Mishra & Utsav Awasthi & Krishna R. Pattipati & George M. Bollas - 357-372 Natural language processing (NLP) and association rules (AR)-based knowledge extraction for intelligent fault analysis: a case study in semiconductor industry
by Zhiqiang Wang & Kenneth Ezukwoke & Anis Hoayek & Mireille Batton-Hubert & Xavier Boucher - 373-373 Correction: Natural language processing (NLP) and association rules (AR)-based knowledge extraction for intelligent fault analysis: a case study in semiconductor industry
by Zhiqiang Wang & Kenneth Ezukwoke & Anis Hoayek & Mireille Batton-Hubert & Xavier Boucher - 375-398 Monitoring and control framework for intelligent real-time optimization of printing sequence of powder bed fusion
by Ehsan Malekipour & Hazim El-Mounayri & Devon Hagedorn-Hansen - 399-420 An imbalanced data learning approach for tool wear monitoring based on data augmentation
by Bowen Zhang & Xianli Liu & Caixu Yue & Shaoyang Liu & Xuebing Li & Steven Y. Liang & Lihui Wang - 421-438 Towards automated remote sizing and hot steel manufacturing with image registration and fusion
by Yueda Lin & Peng Wang & Zichen Wang & Sardar Ali & Lyudmila Mihaylova - 439-439 Correction: Towards automated remote sizing and hot steel manufacturing with image registration and fusion
by Yueda Lin & Peng Wang & Zichen Wang & Sardar Ali & Lyudmila Mihaylova - 441-457 An intelligent prediction method of surface residual stresses based on multi-source heterogeneous data
by Zehua Wang & Sibao Wang & Shilong Wang & Zengya Zhao & Zhifeng Tian - 459-474 Efficient quality variable prediction of industrial process via fuzzy neural network with lightweight structure
by Jie Wang & Shiwen Xie & Yongfang Xie & Xiaofang Chen - 475-490 Dual prototypical contrastive network: a novel self-supervised method for cross-domain few-shot fault diagnosis
by Xiao Zhang & Weiguo Huang & Rui Wang & Jun Wang & Changqing Shen - 491-508 Machine learning guided design of experiments to accelerate exploration of a material extrusion process parameter space
by Devin Young & Britannia Vondrasek & Michael W. Czabaj - 509-535 Research on flexible job shop scheduling problem with AGV using double DQN
by Minghai Yuan & Liang Zheng & Hanyu Huang & Kaiwen Zhou & Fengque Pei & Wenbin Gu - 537-550 A signal-to-image fault classification method based on multi-sensor data for robotic grinding monitoring
by Zhe Li & Kexin Liu & Xudong Wang & Xiaofang Yuan & He Xie & Yaonan Wang - 551-568 A digital twin-driven cutting force adaptive control approach for milling process
by Xin Tong & Qiang Liu & Yinuo Zhou & Pengpeng Sun - 569-593 Digital twin-based real-time energy optimization method for production line considering fault disturbances
by Tangbin Xia & He Sun & Yutong Ding & Dongyang Han & Wei Qin & Joachim Seidelmann & Lifeng Xi - 595-618 Event-triggered hierarchical learning control of air-breathing hypersonic vehicles with predefined-time convergence
by Guan Wang & Hongwei Xia - 619-637 A novel transfer learning approach based on deep degradation feature adaptive alignment for remaining useful life prediction with multi-condition data
by Yi Lyu & Zhenfei Wen & Aiguo Chen - 639-659 Deformation by design: data-driven approach to predict and modify deformation in thin Ti-6Al-4V sheets using laser peen forming
by Siva Teja Sala & Frederic E. Bock & Dominik Pöltl & Benjamin Klusemann & Norbert Huber & Nikolai Kashaev - 661-680 Acoustic emission reflection signal classification of PVDF-type AE sensor using convolutional neural network-transfer learning
by Hyo Jeong Kim & Ju Heon Lee & Sin Yeop Lee & Hee Hwan Lee & Seoung Hwan Lee - 681-702 Supply chain modelling considering blockchain improvement and publicity with fairness concern
by Yuyan Wang & Qiuchen Wu & T. C. E. Cheng & Yulin Sun
December 2024, Volume 35, Issue 8
- 3599-3604 Editorial for the special issue: AI and data-driven decisions in manufacturing
by Alexandre Dolgui & Hichem Haddou Benderbal & Fabio Sgarbossa & Simon Thevenin - 3605-3627 Survey on ontology-based explainable AI in manufacturing
by Muhammad Raza Naqvi & Linda Elmhadhbi & Arkopaul Sarkar & Bernard Archimede & Mohamed Hedi Karray - 3629-3653 Conceptualizing the digital thread for smart manufacturing: a systematic literature review
by Tasnim A. Abdel-Aty & Elisa Negri - 3655-3679 A cyber-physical production system for autonomous part quality control in polymer additive manufacturing material extrusion process
by Miguel Castillo & Roberto Monroy & Rafiq Ahmad - 3681-3695 Semantic part segmentation of spatial features via geometric deep learning for automated control cabinet assembly
by Patrick Bründl & Benedikt Scheffler & Micha Stoidner & Huong Nguyen & Andreas Baechler & Ahmad Abrass & Jörg Franke - 3697-3711 Praxis: a framework for AI-driven human action recognition in assembly
by Christos Gkournelos & Christos Konstantinou & Panagiotis Angelakis & Eleni Tzavara & Sotiris Makris - 3713-3729 Framework of knowledge management for human–robot collaborative mold assembly using heterogeneous cobots
by Yee Yeng Liau & Kwangyeol Ryu - 3731-3752 Towards a knowledge graph framework for ad hoc analysis in manufacturing
by Bart Meyers & Hans Vangheluwe & Pieter Lietaert & Geert Vanderhulst & Johan Van Noten & Michel Schaffers & Davy Maes & Klaas Gadeyne - 3753-3773 A multi-agent based big data analytics system for viable supplier selection
by Kamar Zekhnini & Abla Chaouni Benabdellah & Anass Cherrafi - 3775-3791 Reinforcement learning for sustainability enhancement of production lines
by Alberto Loffredo & Marvin Carl May & Andrea Matta & Gisela Lanza - 3793-3813 From framework to industrial implementation: the digital twin in process planning
by Sarah Wagner & Clemens Gonnermann & Marc Wegmann & Franz Listl & Gunther Reinhart & Michael Weyrich - 3815-3836 Cloud material handling systems: a cyber-physical system to enable dynamic resource allocation and digital interoperability
by Cosmin Aron & Fabio Sgarbossa & Eric Ballot & Dmitry Ivanov - 3837-3856 Mathematical modelling and a discrete cuckoo search particle swarm optimization algorithm for mixed model sequencing problem with interval task times
by Jiahua Zhang & Xuemei Liu & Beikun Zhang - 3857-3874 Automatic model generation for material flow simulations of Third-Party Logistics
by Lennart M. Steinbacher & Tim Düe & Marius Veigt & Michael Freitag - 3875-3888 Deep reinforcement learning for dynamic scheduling of energy-efficient automated guided vehicles
by Lixiang Zhang & Yan Yan & Yaoguang Hu - 3889-3916 Enterprise and service−level scheduling of robot production services in cloud manufacturing with deep reinforcement learning
by Yaoyao Ping & Yongkui Liu & Lin Zhang & Lihui Wang & Xun Xu - 3917-3936 Multi agent reinforcement learning for online layout planning and scheduling in flexible assembly systems
by Lea Kaven & Philipp Huke & Amon Göppert & Robert H. Schmitt - 3937-3958 Case study on delivery time determination using a machine learning approach in small batch production companies
by Alexander Rokoss & Marius Syberg & Laura Tomidei & Christian Hülsing & Jochen Deuse & Matthias Schmidt - 3959-3993 Online performance and proactive maintenance assessment of data driven prediction models
by Yingjun Shen & Taohong Wang & Zhe Song - 3995-4013 A predictive maintenance model for health assessment of an assembly robot based on machine learning in the context of smart plant
by Ayoub Chakroun & Yasmina Hani & Abderrahmane Elmhamedi & Faouzi Masmoudi - 4015-4034 Label synchronization for Hybrid Federated Learning in manufacturing and predictive maintenance
by Raúl Llasag Rosero & Catarina Silva & Bernardete Ribeiro & Bruno F. Santos - 4035-4054 Remaining useful lifetime prediction for milling blades using a fused data prediction model (FDPM)
by Teemu Mäkiaho & Jouko Laitinen & Mikael Nuutila & Kari T. Koskinen - 4055-4069 The multisensor information fusion-based deep learning model for equipment health monitor integrating subject matter expert knowledge
by Jr-Fong Dang - 4071-4086 Shapley-based explainable AI for clustering applications in fault diagnosis and prognosis
by Joseph Cohen & Xun Huan & Jun Ni - 4087-4112 A data driven sequential learning framework to accelerate and optimize multi-objective manufacturing decisions
by Hamed Khosravi & Taofeeq Olajire & Ahmed Shoyeb Raihan & Imtiaz Ahmed - 4113-4136 Designing an adaptive and deep learning based control framework for modular production systems
by Marcel Panzer & Norbert Gronau - 4137-4157 Optimization of processing parameters for waterjet-guided laser machining of SiC/SiC composites
by Mengxuan Gao & Songmei Yuan & Jiayong Wei & Jin Niu & Zikang Zhang & Xiaoqi Li & Jiaqi Zhang & Ning Zhou & Mingrui Luo - 4159-4180 Intrinsic and post-hoc XAI approaches for fingerprint identification and response prediction in smart manufacturing processes
by Abhilash Puthanveettil Madathil & Xichun Luo & Qi Liu & Charles Walker & Rajeshkumar Madarkar & Yukui Cai & Zhanqiang Liu & Wenlong Chang & Yi Qin - 4181-4200 CNN architecture-based hybrid fusion model for in-situ monitoring to fabricate metal matrix composite by laser melt injection
by Hongmeng Xu & Haihong Huang - 4201-4216 Machine vision-based recognition of elastic abrasive tool wear and its influence on machining performance
by Lei Guo & Zhengcong Duan & Wanjin Guo & Kai Ding & Chul-Hee Lee & Felix T. S. Chan - 4217-4232 Predictive reinforcement learning: map-less navigation method for mobile robot
by Dmitrii Dobriborsci & Roman Zashchitin & Mikhail Kakanov & Wolfgang Aumer & Pavel Osinenko - 4233-4258 Concept for the automated adaption of abstract planning domains for specific application cases in skills-based industrial robotics
by Lisa Heuss & Daniel Gebauer & Gunther Reinhart - 4259-4276 Managing product-inherent constraints with artificial intelligence: production control for time constraints in semiconductor manufacturing
by Marvin Carl May & Jan Oberst & Gisela Lanza
October 2024, Volume 35, Issue 7
- 2979-3002 Classification-design-optimization integrated picking robots: a review
by Jingyang Xiang & Lianguo Wang & Li Li & Kee-Hung Lai & Wei Cai - 3003-3035 State-of-the-art review of neural network applications in pharmaceutical manufacturing: current state and future directions
by Elnaz Gholipour & Ali Bastas - 3037-3066 Development of a cyber physical production system framework for smart tool health management
by Rishi Kumar & Kuldip Singh Sangwan & Christoph Herrmann & Rishi Ghosh - 3067-3081 High speed neuromorphic vision-based inspection of countersinks in automated manufacturing processes
by Mohammed Salah & Abdulla Ayyad & Mohammed Ramadan & Yusra Abdulrahman & Dewald Swart & Abdelqader Abusafieh & Lakmal Seneviratne & Yahya Zweiri - 3083-3114 Building digital-twin virtual machining for milling chatter detection based on VMD, synchro-squeeze wavelet, and pre-trained network CNNs with vibration signals
by Khairul Jauhari & Achmad Zaki Rahman & Mahfudz Huda & Achmad Widodo & Toni Prahasto - 3115-3129 A novel technique for multiple failure modes classification based on deep forest algorithm
by John Taco & Pradeep Kundu & Jay Lee - 3131-3148 Label propagation-based unsupervised domain adaptation for intelligent fault diagnosis
by Huanjie Wang & Yuan Li & Xiwei Bai & Jingwei Li & Jie Tan & Chengbao Liu - 3149-3168 Intermittent adaptive trajectory planning for geometric defect correction in large-scale robotic laser directed energy deposition based additive manufacturing
by Farzaneh Kaji & Howard Nguyen-Huu & Jinoop Arackal Narayanan & Mark Zimny & Ehsan Toyserkani - 3169-3184 Two-dimensional polygon classification and pairwise clustering for pairing in ship parts nesting
by Gun-Yeol Na & Jeongsam Yang - 3185-3195 Object detection for blind inspection of industrial products based on neural architecture search
by Lin Huang & Weiming Deng & Chunchun Li & Tiejun Yang - 3197-3217 A multisensory time-frequency features fusion method for rotating machinery fault diagnosis under nonstationary case
by Jiayang Liu & Fuqi Xie & Qiang Zhang & Qiucheng Lyu & Xiaosun Wang & Shijing Wu - 3219-3234 Physics-guided high-value data sampling method for predicting milling stability with limited experimental data
by Lu Chen & Yingguang Li & Gengxiang Chen & Xu Liu & Changqing Liu - 3235-3257 Evolutionary algorithms for a simheuristic optimization of the product-service system design
by Henri Meeß & Michael Herzog & Enes Alp & Bernd Kuhlenkötter - 3259-3272 Appending-inspired multivariate time series association fusion for tool condition monitoring
by Liang Xi & Wei Wang & Jingyi Chen & Xuefeng Wu - 3273-3289 CD3IS: cross dimensional 3D instance segmentation network for production workshop
by Zaizuo Tang & Guangzhu Chen & Ruili Wang & Zhenlian Miao & Manna Dai & Yujun Ma & Xiaojuan Liao - 3291-3314 A novel surface temperature sensor and random forest-based welding quality prediction model
by Shugui Wang & Yunxian Cui & Yuxin Song & Chenggang Ding & Wanyu Ding & Junwei Yin - 3315-3330 Mobile-Deeplab: a lightweight pixel segmentation-based method for fabric defect detection
by Zichen Bai & Junfeng Jing - 3331-3352 Developing an artificial neural network controller for accelerating the hot deformation of the titanium aluminide TNM-B1 using reinforcement learning and finite element simulations
by J. A. Stendal & M. Bambach - 3353-3375 Digital twin model-driven capacity evaluation and scheduling optimization for ship welding production line
by Jinfeng Liu & Qiukai Ji & Xiaohu Zhang & Yu Chen & Yiming Zhang & Xiaojun Liu & Mingming Tang - 3377-3392 A new effective decoupling method to identify the tracking errors of the motion axes of the five-axis machine tools
by Seth Osei & Wang Wei & Jiahao Yu & Qicheng Ding - 3393-3418 Integrating multi-agent reinforcement learning and 3D A* search for facility layout problem considering connector-assembly
by Qiaoyu Zhang & Yan Lin - 3419-3440 Aic: an industrial knowledge graph with Abstraction-Instance-Capability reasoning abilities for personalized customization
by Kai Zhang & Zhiying Tu & Dianhui Chu & Xiaoping Lu & Lucheng Chen - 3441-3457 A performance evaluation method based on combination of knowledge graph and surrogate model
by Xu Han & Xinyu Liu & Honghui Wang & Guijie Liu - 3459-3477 Towards prognostic generalization: a domain conditional invariance and specificity disentanglement network for remaining useful life prediction
by Pengcheng Xia & Yixiang Huang & Chengjin Qin & Chengliang Liu - 3479-3499 ML Pro: digital assistance system for interactive machine learning in production
by Christian Neunzig & Dennis Möllensiep & Bernd Kuhlenkötter & Matthias Möller - 3501-3521 An ontology for defining and characterizing demonstration environments
by Wei Nie & Katharina Vita & Tariq Masood - 3523-3542 Trustworthy and intelligent fault diagnosis with effective denoising and evidential stacked GRU neural network
by Hanting Zhou & Wenhe Chen & Jing Liu & Longsheng Cheng & Min Xia - 3543-3558 A novel image feature based self-supervised learning model for effective quality inspection in additive manufacturing
by Chun Fai Lui & Ahmed Maged & Min Xie - 3559-3576 A novel strategy based on machine learning of selective cooling control of work roll for improvement of cold rolled strip flatness
by Pengfei Wang & Jinkun Deng & Xu Li & Changchun Hua & Lihong Su & Guanyu Deng - 3577-3598 Predictive modeling of roughness change in multistep machining
by Reza Teimouri & Sebastian Skoczypiec
August 2024, Volume 35, Issue 6
- 2407-2439 Applying machine learning to wire arc additive manufacturing: a systematic data-driven literature review
by Abderrachid Hamrani & Arvind Agarwal & Amine Allouhi & Dwayne McDaniel - 2441-2473 Fault diagnosis and self-healing for smart manufacturing: a review
by Joma Aldrini & Ines Chihi & Lilia Sidhom - 2475-2515 Image deep learning in fault diagnosis of mechanical equipment
by Chuanhao Wang & Yongjian Sun & Xiaohong Wang - 2517-2546 Digital Twin-based manufacturing system: a survey based on a novel reference model
by Shimin Liu & Pai Zheng & Jinsong Bao - 2547-2566 Tool wear prediction in milling CFRP with different fiber orientations based on multi-channel 1DCNN-LSTM
by Bohao Li & Zhenghui Lu & Xiaoliang Jin & Liping Zhao - 2567-2592 Production quality prediction of cross-specification products using dynamic deep transfer learning network
by Pei Wang & Tao Wang & Sheng Yang & Han Cheng & Pengde Huang & Qianle Zhang - 2593-2610 Smart scheduling of dynamic job shop based on discrete event simulation and deep reinforcement learning
by Ziqing Wang & Wenzhu Liao - 2611-2611 Correction to: Smart scheduling of dynamic job shop based on discrete event simulation and deep reinforcement learning
by Ziqing Wang & Wenzhu Liao - 2613-2624 An innovative integrated approach to automatic defect detection system of cell phone case manufacturing in an empirical implementation
by Chao-Chang Liao & Chih-Ching Hsu & Hong-Tsu Young & Kuan-Ming Li - 2625-2643 Evaluation of process planning in manufacturing by a neural network based on an energy definition of hopfield nets
by Jan Michael Spoor & Jens Weber - 2645-2652 Deviation compensation in LPBF series production via statistical predeformation and structural pattern analysis
by Philipp Lechner & Christoph Hartmann & Daniel Wolf & Abdelrahman Habiba - 2653-2669 Multi-stage few-shot micro-defect detection of patterned OLED panel using defect inpainting and multi-scale Siamese neural network
by Shujiao Ye & Zheng Wang & Pengbo Xiong & Xinhao Xu & Lintong Du & Jiubin Tan & Weibo Wang - 2671-2698 SSMSPC: self-supervised multivariate statistical in-process control in discrete manufacturing processes
by Tobias Biegel & Patrick Helm & Nicolas Jourdan & Joachim Metternich - 2699-2718 Digitalization platform for data-driven quality management in multi-stage manufacturing systems
by Marc-André Filz & Jan Philipp Bosse & Christoph Herrmann - 2719-2742 In-situ porosity prediction in metal powder bed fusion additive manufacturing using spectral emissions: a prior-guided machine learning approach
by Mohamed Atwya & George Panoutsos - 2743-2764 A real spatial–temporal attention denoising network for nugget quality detection in resistance spot weld
by Jie Zhou & Zerui Xi & Shilong Wang & Bo Yang & Youhong Zhang & Yucheng Zhang - 2765-2786 Rapid simplification of 3D geometry model of mechanisms in the digital twins-driven manufacturing system design
by Jiewu Leng & Zisheng Lin & Zhiqiang Huang & Ruijun Ye & Qiang Liu & Xin Chen - 2787-2810 A novel interpretable predictive model based on ensemble learning and differential evolution algorithm for surface roughness prediction in abrasive water jet polishing
by Shutong Xie & Zongbao He & Yee Man Loh & Yu Yang & Kunhong Liu & Chao Liu & Chi Fai Cheung & Nan Yu & Chunjin Wang - 2811-2827 Smart nesting: estimating geometrical compatibility in the nesting problem using graph neural networks
by Kirolos Abdou & Osama Mohammed & George Eskandar & Amgad Ibrahim & Paul-Amaury Matt & Marco F. Huber - 2829-2843 Swarm intelligence-based framework for accelerated and optimized assembly line design in the automotive industry
by Anass Houd & Benoit Piranda & Raphael Matos & Julien Bourgeois - 2845-2865 Competing refurbishment in a supply chain with different selling modes
by Yan Zhang & Wen Zhang & Xiao Shi & Ting Hou - 2867-2886 Equipment electrocardiogram (EECG): making intelligent production line more robust
by Baotong Chen & Lei Wang & Shujun Yu & Jiafu Wan & Xuhui Xia - 2887-2911 An accuracy and performance-oriented accurate digital twin modeling method for precision microstructures
by Qimuge Saren & Zhijing Zhang & Jian Xiong & Xiao Chen & Dongsheng Zhu & Wenrong Wu & Xin Jin & Ke Shang - 2913-2928 Digital twin enhanced fault diagnosis reasoning for autoclave
by Yucheng Wang & Fei Tao & Ying Zuo & Meng Zhang & Qinglin Qi - 2929-2959 A deep convolutional network combining layerwise images and defect parameter vectors for laser powder bed fusion process anomalies classification
by Zimeng Jiang & Aoming Zhang & Zhangdong Chen & Chenguang Ma & Zhenghui Yuan & Yifan Deng & Yingjie Zhang - 2961-2978 A hierarchical ensemble causal structure learning approach for wafer manufacturing
by Yu Yang & Sthitie Bom & Xiaotong Shen
June 2024, Volume 35, Issue 5
- 1905-1907 Intelligent cobot systems: human-cobot collaboration in manufacturing
by Maurizio Faccio & Yuval Cohen - 1909-1927 Multicriteria task classification in human-robot collaborative assembly through fuzzy inference
by Alessandro Alessio & Khurshid Aliev & Dario Antonelli