Journal of Intelligent Manufacturing

2009 - 2025

Current editor(s): Andrew Kusiak

From Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

Access Statistics for this journal.
Is something missing from the series or not right? See the RePEc data check for the archive and series.

Volume 35, issue 8, 2024

Editorial for the special issue: AI and data-driven decisions in manufacturing pp. 3599-3604

Alexandre Dolgui, Hichem Haddou Benderbal, Fabio Sgarbossa and Simon Thevenin

Survey on ontology-based explainable AI in manufacturing pp. 3605-3627

Muhammad Raza Naqvi, Linda Elmhadhbi, Arkopaul Sarkar, Bernard Archimede and Mohamed Hedi Karray

Conceptualizing the digital thread for smart manufacturing: a systematic literature review pp. 3629-3653

Tasnim A. Abdel-Aty and Elisa Negri

A cyber-physical production system for autonomous part quality control in polymer additive manufacturing material extrusion process pp. 3655-3679

Miguel Castillo, Roberto Monroy and Rafiq Ahmad

Semantic part segmentation of spatial features via geometric deep learning for automated control cabinet assembly pp. 3681-3695

Patrick Bründl, Benedikt Scheffler, Micha Stoidner, Huong Nguyen, Andreas Baechler, Ahmad Abrass and Jörg Franke

Praxis: a framework for AI-driven human action recognition in assembly pp. 3697-3711

Christos Gkournelos, Christos Konstantinou, Panagiotis Angelakis, Eleni Tzavara and Sotiris Makris

Framework of knowledge management for human–robot collaborative mold assembly using heterogeneous cobots pp. 3713-3729

Yee Yeng Liau and Kwangyeol Ryu

Towards a knowledge graph framework for ad hoc analysis in manufacturing pp. 3731-3752

Bart Meyers, Hans Vangheluwe, Pieter Lietaert, Geert Vanderhulst, Johan Van Noten, Michel Schaffers, Davy Maes and Klaas Gadeyne

A multi-agent based big data analytics system for viable supplier selection pp. 3753-3773

Kamar Zekhnini, Abla Chaouni Benabdellah and Anass Cherrafi

Reinforcement learning for sustainability enhancement of production lines pp. 3775-3791

Alberto Loffredo, Marvin Carl May, Andrea Matta and Gisela Lanza

From framework to industrial implementation: the digital twin in process planning pp. 3793-3813

Sarah Wagner, Clemens Gonnermann, Marc Wegmann, Franz Listl, Gunther Reinhart and Michael Weyrich

Cloud material handling systems: a cyber-physical system to enable dynamic resource allocation and digital interoperability pp. 3815-3836

Cosmin Aron, Fabio Sgarbossa, Eric Ballot and Dmitry Ivanov

Mathematical modelling and a discrete cuckoo search particle swarm optimization algorithm for mixed model sequencing problem with interval task times pp. 3837-3856

Jiahua Zhang, Xuemei Liu and Beikun Zhang

Automatic model generation for material flow simulations of Third-Party Logistics pp. 3857-3874

Lennart M. Steinbacher, Tim Düe, Marius Veigt and Michael Freitag

Deep reinforcement learning for dynamic scheduling of energy-efficient automated guided vehicles pp. 3875-3888

Lixiang Zhang, Yan Yan and Yaoguang Hu

Enterprise and service−level scheduling of robot production services in cloud manufacturing with deep reinforcement learning pp. 3889-3916

Yaoyao Ping, Yongkui Liu, Lin Zhang, Lihui Wang and Xun Xu

Multi agent reinforcement learning for online layout planning and scheduling in flexible assembly systems pp. 3917-3936

Lea Kaven, Philipp Huke, Amon Göppert and Robert H. Schmitt

Case study on delivery time determination using a machine learning approach in small batch production companies pp. 3937-3958

Alexander Rokoss, Marius Syberg, Laura Tomidei, Christian Hülsing, Jochen Deuse and Matthias Schmidt

Online performance and proactive maintenance assessment of data driven prediction models pp. 3959-3993

Yingjun Shen, Taohong Wang and Zhe Song

A predictive maintenance model for health assessment of an assembly robot based on machine learning in the context of smart plant pp. 3995-4013

Ayoub Chakroun, Yasmina Hani, Abderrahmane Elmhamedi and Faouzi Masmoudi

Label synchronization for Hybrid Federated Learning in manufacturing and predictive maintenance pp. 4015-4034

Raúl Llasag Rosero, Catarina Silva, Bernardete Ribeiro and Bruno F. Santos

Remaining useful lifetime prediction for milling blades using a fused data prediction model (FDPM) pp. 4035-4054

Teemu Mäkiaho, Jouko Laitinen, Mikael Nuutila and Kari T. Koskinen

The multisensor information fusion-based deep learning model for equipment health monitor integrating subject matter expert knowledge pp. 4055-4069

Jr-Fong Dang

Shapley-based explainable AI for clustering applications in fault diagnosis and prognosis pp. 4071-4086

Joseph Cohen, Xun Huan and Jun Ni

A data driven sequential learning framework to accelerate and optimize multi-objective manufacturing decisions pp. 4087-4112

Hamed Khosravi, Taofeeq Olajire, Ahmed Shoyeb Raihan and Imtiaz Ahmed

Designing an adaptive and deep learning based control framework for modular production systems pp. 4113-4136

Marcel Panzer and Norbert Gronau

Optimization of processing parameters for waterjet-guided laser machining of SiC/SiC composites pp. 4137-4157

Mengxuan Gao, Songmei Yuan, Jiayong Wei, Jin Niu, Zikang Zhang, Xiaoqi Li, Jiaqi Zhang, Ning Zhou and Mingrui Luo

Intrinsic and post-hoc XAI approaches for fingerprint identification and response prediction in smart manufacturing processes pp. 4159-4180

Abhilash Puthanveettil Madathil, Xichun Luo, Qi Liu, Charles Walker, Rajeshkumar Madarkar, Yukui Cai, Zhanqiang Liu, Wenlong Chang and Yi Qin

CNN architecture-based hybrid fusion model for in-situ monitoring to fabricate metal matrix composite by laser melt injection pp. 4181-4200

Hongmeng Xu and Haihong Huang

Machine vision-based recognition of elastic abrasive tool wear and its influence on machining performance pp. 4201-4216

Lei Guo, Zhengcong Duan, Wanjin Guo, Kai Ding, Chul-Hee Lee and Felix T. S. Chan

Predictive reinforcement learning: map-less navigation method for mobile robot pp. 4217-4232

Dmitrii Dobriborsci, Roman Zashchitin, Mikhail Kakanov, Wolfgang Aumer and Pavel Osinenko

Concept for the automated adaption of abstract planning domains for specific application cases in skills-based industrial robotics pp. 4233-4258

Lisa Heuss, Daniel Gebauer and Gunther Reinhart

Managing product-inherent constraints with artificial intelligence: production control for time constraints in semiconductor manufacturing pp. 4259-4276

Marvin Carl May, Jan Oberst and Gisela Lanza

Volume 35, issue 7, 2024

Classification-design-optimization integrated picking robots: a review pp. 2979-3002

Jingyang Xiang, Lianguo Wang, Li Li, Kee-Hung Lai and Wei Cai

State-of-the-art review of neural network applications in pharmaceutical manufacturing: current state and future directions pp. 3003-3035

Elnaz Gholipour and Ali Bastas

Development of a cyber physical production system framework for smart tool health management pp. 3037-3066

Rishi Kumar, Kuldip Singh Sangwan, Christoph Herrmann and Rishi Ghosh

High speed neuromorphic vision-based inspection of countersinks in automated manufacturing processes pp. 3067-3081

Mohammed Salah, Abdulla Ayyad, Mohammed Ramadan, Yusra Abdulrahman, Dewald Swart, Abdelqader Abusafieh, Lakmal Seneviratne and Yahya Zweiri

Building digital-twin virtual machining for milling chatter detection based on VMD, synchro-squeeze wavelet, and pre-trained network CNNs with vibration signals pp. 3083-3114

Khairul Jauhari, Achmad Zaki Rahman, Mahfudz Huda, Achmad Widodo and Toni Prahasto

A novel technique for multiple failure modes classification based on deep forest algorithm pp. 3115-3129

John Taco, Pradeep Kundu and Jay Lee

Label propagation-based unsupervised domain adaptation for intelligent fault diagnosis pp. 3131-3148

Huanjie Wang, Yuan Li, Xiwei Bai, Jingwei Li, Jie Tan and Chengbao Liu

Intermittent adaptive trajectory planning for geometric defect correction in large-scale robotic laser directed energy deposition based additive manufacturing pp. 3149-3168

Farzaneh Kaji, Howard Nguyen-Huu, Jinoop Arackal Narayanan, Mark Zimny and Ehsan Toyserkani

Two-dimensional polygon classification and pairwise clustering for pairing in ship parts nesting pp. 3169-3184

Gun-Yeol Na and Jeongsam Yang

Object detection for blind inspection of industrial products based on neural architecture search pp. 3185-3195

Lin Huang, Weiming Deng, Chunchun Li and Tiejun Yang

A multisensory time-frequency features fusion method for rotating machinery fault diagnosis under nonstationary case pp. 3197-3217

Jiayang Liu, Fuqi Xie, Qiang Zhang, Qiucheng Lyu, Xiaosun Wang and Shijing Wu

Physics-guided high-value data sampling method for predicting milling stability with limited experimental data pp. 3219-3234

Lu Chen, Yingguang Li, Gengxiang Chen, Xu Liu and Changqing Liu

Evolutionary algorithms for a simheuristic optimization of the product-service system design pp. 3235-3257

Henri Meeß, Michael Herzog, Enes Alp and Bernd Kuhlenkötter

Appending-inspired multivariate time series association fusion for tool condition monitoring pp. 3259-3272

Liang Xi, Wei Wang, Jingyi Chen and Xuefeng Wu

CD3IS: cross dimensional 3D instance segmentation network for production workshop pp. 3273-3289

Zaizuo Tang, Guangzhu Chen, Ruili Wang, Zhenlian Miao, Manna Dai, Yujun Ma and Xiaojuan Liao

A novel surface temperature sensor and random forest-based welding quality prediction model pp. 3291-3314

Shugui Wang, Yunxian Cui, Yuxin Song, Chenggang Ding, Wanyu Ding and Junwei Yin

Mobile-Deeplab: a lightweight pixel segmentation-based method for fabric defect detection pp. 3315-3330

Zichen Bai and Junfeng Jing

Developing an artificial neural network controller for accelerating the hot deformation of the titanium aluminide TNM-B1 using reinforcement learning and finite element simulations pp. 3331-3352

J. A. Stendal and M. Bambach

Digital twin model-driven capacity evaluation and scheduling optimization for ship welding production line pp. 3353-3375

Jinfeng Liu, Qiukai Ji, Xiaohu Zhang, Yu Chen, Yiming Zhang, Xiaojun Liu and Mingming Tang

A new effective decoupling method to identify the tracking errors of the motion axes of the five-axis machine tools pp. 3377-3392

Seth Osei, Wang Wei, Jiahao Yu and Qicheng Ding

Integrating multi-agent reinforcement learning and 3D A* search for facility layout problem considering connector-assembly pp. 3393-3418

Qiaoyu Zhang and Yan Lin

Aic: an industrial knowledge graph with Abstraction-Instance-Capability reasoning abilities for personalized customization pp. 3419-3440

Kai Zhang, Zhiying Tu, Dianhui Chu, Xiaoping Lu and Lucheng Chen

A performance evaluation method based on combination of knowledge graph and surrogate model pp. 3441-3457

Xu Han, Xinyu Liu, Honghui Wang and Guijie Liu

Towards prognostic generalization: a domain conditional invariance and specificity disentanglement network for remaining useful life prediction pp. 3459-3477

Pengcheng Xia, Yixiang Huang, Chengjin Qin and Chengliang Liu

ML Pro: digital assistance system for interactive machine learning in production pp. 3479-3499

Christian Neunzig, Dennis Möllensiep, Bernd Kuhlenkötter and Matthias Möller

An ontology for defining and characterizing demonstration environments pp. 3501-3521

Wei Nie, Katharina Vita and Tariq Masood

Trustworthy and intelligent fault diagnosis with effective denoising and evidential stacked GRU neural network pp. 3523-3542

Hanting Zhou, Wenhe Chen, Jing Liu, Longsheng Cheng and Min Xia

A novel image feature based self-supervised learning model for effective quality inspection in additive manufacturing pp. 3543-3558

Chun Fai Lui, Ahmed Maged and Min Xie

A novel strategy based on machine learning of selective cooling control of work roll for improvement of cold rolled strip flatness pp. 3559-3576

Pengfei Wang, Jinkun Deng, Xu Li, Changchun Hua, Lihong Su and Guanyu Deng

Predictive modeling of roughness change in multistep machining pp. 3577-3598

Reza Teimouri and Sebastian Skoczypiec

Volume 35, issue 6, 2024

Applying machine learning to wire arc additive manufacturing: a systematic data-driven literature review pp. 2407-2439

Abderrachid Hamrani, Arvind Agarwal, Amine Allouhi and Dwayne McDaniel

Fault diagnosis and self-healing for smart manufacturing: a review pp. 2441-2473

Joma Aldrini, Ines Chihi and Lilia Sidhom

Image deep learning in fault diagnosis of mechanical equipment pp. 2475-2515

Chuanhao Wang, Yongjian Sun and Xiaohong Wang

Digital Twin-based manufacturing system: a survey based on a novel reference model pp. 2517-2546

Shimin Liu, Pai Zheng and Jinsong Bao

Tool wear prediction in milling CFRP with different fiber orientations based on multi-channel 1DCNN-LSTM pp. 2547-2566

Bohao Li, Zhenghui Lu, Xiaoliang Jin and Liping Zhao

Production quality prediction of cross-specification products using dynamic deep transfer learning network pp. 2567-2592

Pei Wang, Tao Wang, Sheng Yang, Han Cheng, Pengde Huang and Qianle Zhang

Smart scheduling of dynamic job shop based on discrete event simulation and deep reinforcement learning pp. 2593-2610

Ziqing Wang and Wenzhu Liao

Correction to: Smart scheduling of dynamic job shop based on discrete event simulation and deep reinforcement learning pp. 2611-2611

Ziqing Wang and Wenzhu Liao

An innovative integrated approach to automatic defect detection system of cell phone case manufacturing in an empirical implementation pp. 2613-2624

Chao-Chang Liao, Chih-Ching Hsu, Hong-Tsu Young and Kuan-Ming Li

Evaluation of process planning in manufacturing by a neural network based on an energy definition of hopfield nets pp. 2625-2643

Jan Michael Spoor and Jens Weber

Deviation compensation in LPBF series production via statistical predeformation and structural pattern analysis pp. 2645-2652

Philipp Lechner, Christoph Hartmann, Daniel Wolf and Abdelrahman Habiba

Multi-stage few-shot micro-defect detection of patterned OLED panel using defect inpainting and multi-scale Siamese neural network pp. 2653-2669

Shujiao Ye, Zheng Wang, Pengbo Xiong, Xinhao Xu, Lintong Du, Jiubin Tan and Weibo Wang

SSMSPC: self-supervised multivariate statistical in-process control in discrete manufacturing processes pp. 2671-2698

Tobias Biegel, Patrick Helm, Nicolas Jourdan and Joachim Metternich

Digitalization platform for data-driven quality management in multi-stage manufacturing systems pp. 2699-2718

Marc-André Filz, Jan Philipp Bosse and Christoph Herrmann

In-situ porosity prediction in metal powder bed fusion additive manufacturing using spectral emissions: a prior-guided machine learning approach pp. 2719-2742

Mohamed Atwya and George Panoutsos

A real spatial–temporal attention denoising network for nugget quality detection in resistance spot weld pp. 2743-2764

Jie Zhou, Zerui Xi, Shilong Wang, Bo Yang, Youhong Zhang and Yucheng Zhang

Rapid simplification of 3D geometry model of mechanisms in the digital twins-driven manufacturing system design pp. 2765-2786

Jiewu Leng, Zisheng Lin, Zhiqiang Huang, Ruijun Ye, Qiang Liu and Xin Chen

A novel interpretable predictive model based on ensemble learning and differential evolution algorithm for surface roughness prediction in abrasive water jet polishing pp. 2787-2810

Shutong Xie, Zongbao He, Yee Man Loh, Yu Yang, Kunhong Liu, Chao Liu, Chi Fai Cheung, Nan Yu and Chunjin Wang

Smart nesting: estimating geometrical compatibility in the nesting problem using graph neural networks pp. 2811-2827

Kirolos Abdou, Osama Mohammed, George Eskandar, Amgad Ibrahim, Paul-Amaury Matt and Marco F. Huber

Swarm intelligence-based framework for accelerated and optimized assembly line design in the automotive industry pp. 2829-2843

Anass Houd, Benoit Piranda, Raphael Matos and Julien Bourgeois

Competing refurbishment in a supply chain with different selling modes pp. 2845-2865

Yan Zhang, Wen Zhang, Xiao Shi and Ting Hou

Equipment electrocardiogram (EECG): making intelligent production line more robust pp. 2867-2886

Baotong Chen, Lei Wang, Shujun Yu, Jiafu Wan and Xuhui Xia

An accuracy and performance-oriented accurate digital twin modeling method for precision microstructures pp. 2887-2911

Qimuge Saren, Zhijing Zhang, Jian Xiong, Xiao Chen, Dongsheng Zhu, Wenrong Wu, Xin Jin and Ke Shang

Digital twin enhanced fault diagnosis reasoning for autoclave pp. 2913-2928

Yucheng Wang, Fei Tao, Ying Zuo, Meng Zhang and Qinglin Qi

A deep convolutional network combining layerwise images and defect parameter vectors for laser powder bed fusion process anomalies classification pp. 2929-2959

Zimeng Jiang, Aoming Zhang, Zhangdong Chen, Chenguang Ma, Zhenghui Yuan, Yifan Deng and Yingjie Zhang

A hierarchical ensemble causal structure learning approach for wafer manufacturing pp. 2961-2978

Yu Yang, Sthitie Bom and Xiaotong Shen

Volume 35, issue 5, 2024

Intelligent cobot systems: human-cobot collaboration in manufacturing pp. 1905-1907

Maurizio Faccio and Yuval Cohen

Multicriteria task classification in human-robot collaborative assembly through fuzzy inference pp. 1909-1927

Alessandro Alessio, Khurshid Aliev and Dario Antonelli

A framework for fault detection and diagnostics of articulated collaborative robots based on hybrid series modelling of Artificial Intelligence algorithms pp. 1929-1947

Adalberto Polenghi, Laura Cattaneo and Marco Macchi

Investigating the effect of intelligent assistance systems on motivational work characteristics in assembly pp. 1949-1962

Marvin Walczok and Tanja Bipp

Active learning and novel model calibration measurements for automated visual inspection in manufacturing pp. 1963-1984

Jože M. Rožanec, Luka Bizjak, Elena Trajkova, Patrik Zajec, Jelle Keizer, Blaž Fortuna and Dunja Mladenić

HA $$R^{2}$$ R 2 bot: a human-centered augmented reality robot programming method with the awareness of cognitive load pp. 1985-2003

Wenhao Yang, Qinqin Xiao and Yunbo Zhang

The effects of role transitions and adaptation in human–cobot collaboration pp. 2005-2019

Lorenzo Vianello, Serena Ivaldi, Alexis Aubry and Luka Peternel

Adaptive planning of human–robot collaborative disassembly for end-of-life lithium-ion batteries based on digital twin pp. 2021-2043

Weibin Qu, Jie Li, Rong Zhang, Shimin Liu and Jinsong Bao

Self-improving situation awareness for human–robot-collaboration using intelligent Digital Twin pp. 2045-2063

Manuel Müller, Tamás Ruppert, Nasser Jazdi and Michael Weyrich

Collaborative robots in manufacturing and assembly systems: literature review and future research agenda pp. 2065-2118

Ali Keshvarparast, Daria Battini, Olga Battaia and Amir Pirayesh

Multi-scale progressive fusion-based depth image completion and enhancement for industrial collaborative robot applications pp. 2119-2135

Chuhua Xian, Jun Zhang, Wenhao Yang and Yunbo Zhang

Binocular vision and priori data based intelligent pose measurement method of large aerospace cylindrical components pp. 2137-2159

Wei Fan, Qiang Fu, Yansheng Cao, Lianyu Zheng, Xuexin Zhang and Jieru Zhang

A genetic iterated greedy algorithm for the blocking flowshop to minimize total earliness and tardiness pp. 2161-2174

Bruno Athayde Prata and Helio Yochihiro Fuchigami

A bilevel optimisation model for the joint configuration of new and remanufactured products considering specification upgrading of used products pp. 2175-2191

M. W. Geda, Pai Zheng, C. K. Kwong and Yuk Ming Tang

Attention mechanism and texture contextual information for steel plate defects detection pp. 2193-2214

Chi Zhang, Jian Cui, Jianguo Wu and Xi Zhang

Fine-grained activity classification in assembly based on multi-visual modalities pp. 2215-2233

Haodong Chen, Niloofar Zendehdel, Ming C. Leu and Zhaozheng Yin

Safe human–robot collaboration for industrial settings: a survey pp. 2235-2261

Weidong Li, Yudie Hu, Yong Zhou and Duc Truong Pham

Investigating the influence of fidelity on the capability of a digital twin to detect material extrusion failures pp. 2263-2276

Shuo Su, Ben Hicks and Aydin Nassehi

Subspace and second-order statistical distribution alignment for cross-domain recognition of human hand motions pp. 2277-2293

Hanwen Kou, Han Shi and Hai Zhao

A pre-trained model selection for transfer learning of remaining useful life prediction of grinding wheel pp. 2295-2312

Seung-Ho Park and Kyoung-Su Park

Data-driven prediction of keyhole features in metal additive manufacturing based on physics-based simulation pp. 2313-2326

Ziyuan Xie, Fan Chen, Lu Wang, Wenjun Ge and Wentao Yan

Early fault diagnosis in rolling element bearings: comparative analysis of a knowledge-based and a data-driven approach pp. 2327-2347

Eleonora Iunusova, Monica Katherine Gonzalez, Károly Szipka and Andreas Archenti

Predicting the number of printed cells during inkjet-based bioprinting process based on droplet velocity profile using machine learning approaches pp. 2349-2364

Xi Huang, Wei Long Ng and Wai Yee Yeong

Correction to: Predicting the number of printed cells during inkjet-based bioprinting process based on droplet velocity profile using machine learning approaches pp. 2365-2365

Xi Huang, Wei Long Ng and Wai Yee Yeong

A modified RBF-CBR model considering evaluation index for gear grinding process with worm grinding wheel decision support system pp. 2367-2386

Mengqi He, Xiuxu Zhao, Fan He, Emmanuel Appiah, Jiao Li and Chenghui Zhu

Anomaly detection in additive manufacturing processes using supervised classification with imbalanced sensor data based on generative adversarial network pp. 2387-2406

Jihoon Chung, Bo Shen and Zhenyu James Kong

Volume 35, issue 4, 2024

Process monitoring and machine learning for defect detection in laser-based metal additive manufacturing pp. 1407-1437

T. Herzog, M. Brandt, A. Trinchi, A. Sola and A. Molotnikov

Federated transfer learning for auxiliary classifier generative adversarial networks: framework and industrial application pp. 1439-1454

Wei Guo, Yijin Wang, Xin Chen and Pingyu Jiang

Multidomain variance-learnable prototypical network for few-shot diagnosis of novel faults pp. 1455-1467

Jianyu Long, Yibin Chen, Huiyu Huang, Zhe Yang, Yunwei Huang and Chuan Li

Coupling of an analytical rolling model and reinforcement learning to design pass schedules: towards properties controlled hot rolling pp. 1469-1490

C. Idzik, A. Krämer, G. Hirt and J. Lohmar

Power spectral density moment of having defective 3D printed plastic beams under moving load based on deep learning pp. 1491-1515

Thanh Q. Nguyen, Nghi N. Nguyen and Xuan Tran

Flexible job shop scheduling with preventive maintenance consideration pp. 1517-1539

Michael Mario Wocker, Frederik Ferid Ostermeier, Tobias Wanninger, Ronny Zwinkau and Jochen Deuse

Anticipatory analysis of AGV trajectory in a 5G network using machine learning pp. 1541-1569

Alberto Mozo, Stanislav Vakaruk, J. Enrique Sierra-García and Antonio Pastor

A framework and method for equipment digital twin dynamic evolution based on IExATCN pp. 1571-1583

Kunyu Wang, Lin Zhang, Zidi Jia, Hongbo Cheng, Han Lu and Jin Cui

A novel 2.5D machining feature recognition method based on ray blanking algorithm pp. 1585-1605

Peng Shi, Xiaomeng Tong, Maolin Cai and Shuai Niu

Indirect porosity detection and root-cause identification in WAAM pp. 1607-1628

Joselito Yam II Alcaraz, Wout Foqué, Abhay Sharma and Tegoeh Tjahjowidodo

Automatic quality control of aluminium parts welds based on 3D data and artificial intelligence pp. 1629-1648

Angelo Cardellicchio, Massimiliano Nitti, Cosimo Patruno, Nicola Mosca, Maria Summa, Ettore Stella and Vito Renò

Genetic algorithm optimization based on manufacturing prediction for an efficient tolerance allocation approach pp. 1649-1670

Maroua Ghali, Sami Elghali and Nizar Aifaoui

Visual analytics for digital twins: a conceptual framework and case study pp. 1671-1686

Hangbin Zheng, Tianyuan Liu, Jiayu Liu and Jinsong Bao

A deep learning framework for defect prediction based on thermographic in-situ monitoring in laser powder bed fusion pp. 1687-1706

Simon Oster, Philipp P. Breese, Alexander Ulbricht, Gunther Mohr and Simon J. Altenburg

A dual-attention feature fusion network for imbalanced fault diagnosis with two-stream hybrid generated data pp. 1707-1719

Chenze Wang, Han Wang and Min Liu

Data-driven indirect punch wear monitoring in sheet-metal stamping processes pp. 1721-1735

Martin Unterberg, Marco Becker, Philipp Niemietz and Thomas Bergs

A fast spatio-temporal temperature predictor for vacuum assisted resin infusion molding process based on deep machine learning modeling pp. 1737-1764

Runyu Zhang, Yingjian Liu, Thomas Zheng, Sarah Eddin, Steven Nolet, Yi-Ling Liang, Shaghayegh Rezazadeh, Joseph Wilson, Hongbing Lu and Dong Qian

High-precision point cloud registration system of multi-view industrial self-similar workpiece based on super-point space guidance pp. 1765-1779

Xingguo Wang, Xiaoyu Chen, Zhuang Zhao, Yi Zhang, Dongliang Zheng and Jing Han

A multi-subpopulation genetic algorithm-based CNN approach for ceramic tile defects classification pp. 1781-1792

Nhat-To Huynh

Developing an explainable hybrid deep learning model in digital transformation: an empirical study pp. 1793-1810

Ming-Chuan Chiu, Yu-Hsiang Chiang and Jing-Er Chiu

GAN-based statistical modeling with adaptive schemes for surface defect inspection of IC metal packages pp. 1811-1824

Zhenshuang Wu, Nian Cai, Kaiqiong Chen, Hao Xia, Shuai Zhou and Han Wang

Process parameter optimization for reproducible fabrication of layer porosity quality of 3D-printed tissue scaffold pp. 1825-1844

Andrew Chung Chee Law, Rongxuan Wang, Jihoon Chung, Ezgi Kucukdeger, Yang Liu, Ted Barron, Blake N. Johnson and Zhenyu Kong

Learning the manufacturing capabilities of machining and finishing processes using a deep neural network model pp. 1845-1865

Changxuan Zhao and Shreyes N. Melkote

Attention-driven transfer learning framework for dynamic model guided time domain chatter detection pp. 1867-1885

Chen Yin, Yulin Wang, Jeong Hoon Ko, Heow Pueh Lee and Yuxin Sun

A multi-task learning-based optimization approach for finding diverse sets of microstructures with desired properties pp. 1887-1903

Tarek Iraki, Lukas Morand, Johannes Dornheim, Norbert Link and Dirk Helm

Volume 35, issue 3, 2024

Prognostics and health management for induction machines: a comprehensive review pp. 937-962

Chao Huang, Siqi Bu, Hiu Hung Lee, Kwong Wah Chan and Winco K. C. Yung

Machine learning approach to packaging compatibility testing in the new product development process pp. 963-975

Norbert Piotrowski

Research on digital twin monitoring system for large complex surface machining pp. 977-990

Tian-Feng Qi, Hai-Rong Fang, Yu-Fei Chen and Li-Tao He

Powder bed monitoring via digital image analysis in additive manufacturing pp. 991-1011

A. Boschetto, L. Bottini and S. Vatanparast

Development of grinding intelligent monitoring and big data-driven decision making expert system towards high efficiency and low energy consumption: experimental approach pp. 1013-1035

Jinling Wang, Yebing Tian, Xintao Hu, Zenghua Fan, Jinguo Han and Yanhou Liu

Nash equilibrium as a tool for the Car Sequencing Problem 4.0 pp. 1037-1053

Sara Bysko, Jolanta Krystek and Andrzej Świerniak

Monitoring and control of biological additive manufacturing using machine learning pp. 1055-1077

Samuel Gerdes, Aniruddha Gaikwad, Srikanthan Ramesh, Iris V. Rivero, Ali Tamayol and Prahalada Rao

Tool wear condition monitoring across machining processes based on feature transfer by deep adversarial domain confusion network pp. 1079-1105

Zhiwen Huang, Jiajie Shao, Jianmin Zhu, Wei Zhang and Xiaoru Li

A two-stage RNN-based deep reinforcement learning approach for solving the parallel machine scheduling problem with due dates and family setups pp. 1107-1140

Funing Li, Sebastian Lang, Bingyuan Hong and Tobias Reggelin

Hierarchical multi-scale network for cross-scale visual defect detection pp. 1141-1157

Ruining Tang, Zhenyu Liu, Yiguo Song, Guifang Duan and Jianrong Tan

A novel approach for tool condition monitoring based on transfer learning of deep neural networks using time–frequency images pp. 1159-1171

Yao Li, Zhengcai Zhao, Yucan Fu and Qingliang Chen

Industrial-oriented machine learning big data framework for temporal-spatial error prediction and control with DTSMGCN model pp. 1173-1196

Hongquan Gui, Jialan Liu, Chi Ma and Mengyuan Li

Development of adaptive safety constraint by predicting trajectories of closest points between human and co-robot pp. 1197-1206

Yufan Zhu, Silu Chen, Chi Zhang, Zhongyu Piao and Guilin Yang

Attention mechanism-based deep learning for heat load prediction in blast furnace ironmaking process pp. 1207-1220

Hong-Wei Xu, Wei Qin, Yan-Ning Sun, You-Long Lv and Jie Zhang

Machining tool identification utilizing temporal 3D point clouds pp. 1221-1232

Thanasis Zoumpekas, Alexander Leutgeb, Anna Puig and Maria Salamó

PreAugNet: improve data augmentation for industrial defect classification with small-scale training data pp. 1233-1246

Isack Farady, Chih-Yang Lin and Ming-Ching Chang

Method for monitoring and controlling penetration of complex groove welding based on online multi-modal data pp. 1247-1265

Peng Gao, Zijian Wu, Yiming Wang, Jun Lu and Zhuang Zhao

A texture-aware one-stage fabric defect detection network with adaptive feature fusion and multi-task training pp. 1267-1280

Bingyu Lu and Biqing Huang

Automatic detection and characterization of porosities in cross-section images of metal parts produced by binder jetting using machine learning and image augmentation pp. 1281-1303

Nicholas Satterlee, Elisa Torresani, Eugene Olevsky and John S. Kang

Comparison and explanation of data-driven modeling for weld quality prediction in resistance spot welding pp. 1305-1319

Matthew Russell, Joseph Kershaw, Yujun Xia, Tianle Lv, Yongbing Li, Hassan Ghassemi-Armaki, Blair E. Carlson and Peng Wang

Root cause analysis of an out-of-control process using a logical analysis of data regression model and exponential weighted moving average pp. 1321-1336

Ramy M. Khalifa, Soumaya Yacout and Samuel Bassetto

Real-time defect detection of TFT-LCD displays using a lightweight network architecture pp. 1337-1352

Ping Chen, Mingfang Chen, Sen Wang, Yanjin Song, Yu Cui, Zhongping Chen, Yongxia Zhang, Songlin Chen and Xiang Mo

Bilateral matching for collaborative remanufacturing services based on multi-attribute preferences and mutual interactions pp. 1353-1372

Xiahui Liu, Liqun Zhang, Qianwang Deng, Meng Li and Chao Jiang

DESMILS: a decision support approach for multi-item lot sizing using interactive multiobjective optimization pp. 1373-1387

Adhe Kania, Bekir Afsar, Kaisa Miettinen and Juha Sipilä

A deep learning solution for real-time quality assessment and control in additive manufacturing using point cloud data pp. 1389-1406

Javid Akhavan, Jiaqi Lyu and Souran Manoochehri

Volume 35, issue 2, 2024

Monitoring and control the Wire Arc Additive Manufacturing process using artificial intelligence techniques: a review pp. 467-497

Giulio Mattera, Luigi Nele and Davide Paolella

Collaborative approaches in sustainable and resilient manufacturing pp. 499-519

Luis M. Camarinha-Matos, Andre Dionisio Rocha and Paula Graça

Rule-based visualization of faulty process conditions in the die-casting manufacturing pp. 521-537

Josue Obregon and Jae-Yoon Jung

Heterogeneous demand–capacity synchronization for smart assembly cell line based on artificial intelligence-enabled IIoT pp. 539-554

Shiquan Ling, Daqiang Guo, Mingxing Li, Yiming Rong and George Q. Huang

Methodology for complexity and cost comparison between subtractive and additive manufacturing processes pp. 555-574

S. Touzé, M. Rauch and J.-Y. Hascoët

Intelligent control system for 3D inkjet printing pp. 575-586

Fanbo Meng, Jin Huang, Bu Ping, Pengfei Yuan, Nan Bai, Xiaolai Zhang, Xueyou Shi, Jinzhu Zhou, Peng Li and Pengbing Zhao

A novel hybrid framework for single and multi-robot path planning in a complex industrial environment pp. 587-612

Sunil Kumar and Afzal Sikander

Digital-twin based real-time resource allocation for hull parts picking and processing pp. 613-632

Xiangdong Wang, Xiaofeng Hu and Jiafu Wan

A novel hypergraph convolution network for wafer defect patterns identification based on an unbalanced dataset pp. 633-646

Yuxi Xie, Shaofan Li, C. T. Wu, Zhipeng Lai and Miao Su

Global and local representation collaborative learning for few-shot learning pp. 647-664

Jun Zhou and Qingling Cai

Correction: Global and local representation collaborative learning for few-shot learning pp. 665-665

Jun Zhou and Qingling Cai

Robust-stable scheduling in dynamic flow shops based on deep reinforcement learning pp. 667-686

Felix Grumbach, Anna Müller, Pascal Reusch and Sebastian Trojahn

A novel deep learning motivated data augmentation system based on defect segmentation requirements pp. 687-701

Shuanlong Niu, Yaru Peng, Bin Li, Yuanhong Qiu, Tongzhi Niu and Weifeng Li

A novel micro-defect classification system based on attention enhancement pp. 703-726

Song Lin, Zhiyong He and Lining Sun

A smart system of Customer- product Interaction Life Cycle (CILC) in industrial Internet era for mass personalization from industrial practice survey: identification, definition, acquisition and parsing pp. 727-756

Xianyu Zhang and Xinguo Ming

A novel approach of tool condition monitoring in sustainable machining of Ni alloy with transfer learning models pp. 757-775

Nimel Sworna Ross, Paul T. Sheeba, C. Sherin Shibi, Munish Kumar Gupta, Mehmet Erdi Korkmaz and Vishal S Sharma

A domain adaptation method for bearing fault diagnosis using multiple incomplete source data pp. 777-791

Qibin Wang, Yuanbing Xu, Shengkang Yang, Jiantao Chang, Jingang Zhang and Xianguang Kong

Task allocation model for human-robot collaboration with variable cobot speed pp. 793-806

Maurizio Faccio, Irene Granata and Riccardo Minto

Predicting maintenance through an attention long short-term memory projected model pp. 807-824

Shih-Hsien Tseng and Khoa-Dang Tran

Multi-layer edge resource placement optimization for factories pp. 825-840

Jakob Zietsch, Rafal Kulaga, Harald Held, Christoph Herrmann and Sebastian Thiede

A knowledge distillation-based multi-scale relation-prototypical network for cross-domain few-shot defect classification pp. 841-857

Jiaqi Zhao, Xiaolong Qian, Yunzhou Zhang, Dexing Shan, Xiaozheng Liu, Sonya Coleman and Dermot Kerr

Graph neural network comparison for 2D nesting efficiency estimation pp. 859-873

Corentin Lallier, Guillaume Blin, Bruno Pinaud and Laurent Vézard

Experience from implementing digital twins for maintenance in industrial processes pp. 875-884

Muhammad Hassan, Marcus Svadling and Niclas Björsell

Safe contextual Bayesian optimization integrated in industrial control for self-learning machines pp. 885-903

Stefano Blasi, Maryam Bahrami, Elmar Engels and Alexander Gepperth

Partitioned abrasive belt condition monitoring based on a unified coefficient and image processing pp. 905-923

Xiaokang Huang, Xukai Ren, Huanwei Yu, Xiyong Du, Xianfeng Chen, Ze Chai and Xiaoqi Chen

Machine learning enabled optimization of showerhead design for semiconductor deposition process pp. 925-935

Zeqing Jin, Dahyun Daniel Lim, Xueying Zhao, Meenakshi Mamunuru, Sassan Roham and Grace X. Gu

Volume 35, issue 1, 2024

Hyper-automation in manufacturing industry pp. 1-2

Andrew Kusiak

Scientometric analysis and systematic review of smart manufacturing technologies applied to the 3D printing polymer material extrusion system pp. 3-33

Miguel Castillo, Roberto Monroy and Rafiq Ahmad

Particle swarm optimization service composition algorithm based on prior knowledge pp. 35-53

Hongbin Wang, Yang Ding and Hanchuan Xu

Online porosity prediction in laser welding of aluminum alloys based on a multi-fidelity deep learning framework pp. 55-73

Deyuan Ma, Ping Jiang, Leshi Shu, Zhaoliang Gong, Yilin Wang and Shaoning Geng

Multi-agent reinforcement learning based on graph convolutional network for flexible job shop scheduling pp. 75-93

Xuan Jing, Xifan Yao, Min Liu and Jiajun Zhou

Surface defect detection method for air rudder based on positive samples pp. 95-113

Zeqing Yang, Mingxuan Zhang, Yingshu Chen, Ning Hu, Lingxiao Gao, Libing Liu, Enxu Ping and Jung Il Song

Material removal rate prediction in chemical mechanical planarization with conditional probabilistic autoencoder and stacking ensemble learning pp. 115-127

Yupeng Wei and Dazhong Wu

In-process prediction of weld penetration depth using machine learning-based molten pool extraction technique in tungsten arc welding pp. 129-145

Daehyun Baek, Hyeong Soon Moon and Sang-Hu Park

State identification of a 5-axis ultra-precision CNC machine tool using energy consumption data assisted by multi-output densely connected 1D-CNN model pp. 147-160

Zhicheng Xu, Vignesh Selvaraj and Sangkee Min

A digital twin-based framework for selection of grinding conditions towards improved productivity and part quality pp. 161-173

Hamid Jamshidi and Erhan Budak

A semantic-driven tradespace framework to accelerate aircraft manufacturing system design pp. 175-198

Xiaochen Zheng, Xiaodu Hu, Rebeca Arista, Jinzhi Lu, Jyri Sorvari, Joachim Lentes, Fernando Ubis and Dimitris Kiritsis

A spatio-temporal fault diagnosis method based on STF-DBN for reciprocating compressor pp. 199-216

Huixin Tian and Qiangqiang Xu

A normal weld recognition method for time-of-flight diffraction detection based on generative adversarial network pp. 217-233

Hongquan Jiang, Deyan Yang, Zelin Zhi, Qiangzheng Jing, Jianmin Gao, Chenyue Tao and Zhixiang Cheng

Enhancing wisdom manufacturing as industrial metaverse for industry and society 5.0 pp. 235-255

Xifan Yao, Nanfeng Ma, Jianming Zhang, Kesai Wang, Erfu Yang and Maurizio Faccio

Data-driven cymbal bronze alloy identification via evolutionary machine learning with automatic feature selection pp. 257-273

Tales H. A. Boratto, Camila M. Saporetti, Samuel C. A. Basilio, Alexandre A. Cury and Leonardo Goliatt

Integrated circuit probe card troubleshooting based on rough set theory for advanced quality control and an empirical study pp. 275-287

Chen-Fu Chien and Hsin-Jung Wu

Digital modeling-driven chatter suppression for thin-walled part manufacturing pp. 289-305

Guo Zhou, Kai Zhou, Jing Zhang, Meng Yuan, Xiaohao Wang, Pingfa Feng, Min Zhang and Feng Feng

Intelligent inventory management with autonomation and service strategy pp. 307-330

Bikash Koli Dey and Hyesung Seok

A quality improvement method for complex component fine manufacturing based on terminal laser beam deflection compensation pp. 331-341

Dongxiang Hou, Xiaodong Wang, Qing Song, Xuesong Mei and Haicheng Wang

Interpolation-based virtual sample generation for surface roughness prediction pp. 343-353

Wenwen Tian, Jiong Zhang, Fei Zhao, Xiaobing Feng, Xuesong Mei, Guangde Chen and Hao Wang

Dynamic spatial–temporal graph-driven machine remaining useful life prediction method using graph data augmentation pp. 355-366

Chaoying Yang, Jie Liu, Kaibo Zhou and Xinyu Li

Cross-scale fusion and domain adversarial network for generalizable rail surface defect segmentation on unseen datasets pp. 367-386

Shuai Ma, Kechen Song, Menghui Niu, Hongkun Tian and Yunhui Yan

In-situ prediction of machining errors of thin-walled parts: an engineering knowledge based sparse Bayesian learning approach pp. 387-411

Hao Sun, Shengqiang Zhao, Fangyu Peng, Rong Yan, Lin Zhou, Teng Zhang and Chi Zhang

A novel automatic classification approach for micro-flaws on the large-aperture optics surface based on multi-light source fusion and integrated deep learning architecture pp. 413-428

Zhaoyang Yin, Mingjun Chen, Linjie Zhao, Jian Cheng, Chao Tan, Xiaotao Li, Zhiyu Lin and Yankang Chen

Modeling spatial point processes in video-imaging via Ripley’s K-function: an application to spatter analysis in additive manufacturing pp. 429-447

Bianca Maria Colosimo, Luca Pagani and Marco Grasso

Accelerating ultrashort pulse laser micromachining process comprehensive optimization using a machine learning cycle design strategy integrated with a physical model pp. 449-465

Zhen Zhang, Zenan Yang, Chenchong Wang and Wei Xu