Journal of Intelligent Manufacturing

2009 - 2025

Current editor(s): Andrew Kusiak

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Volume 33, issue 8, 2022

Current status, challenges and opportunities of sustainable ultra-precision manufacturing pp. 2193-2205

Wai Sze Yip, Suet To and Hongting Zhou

A mixed adversarial adaptation network for intelligent fault diagnosis pp. 2207-2222

Jinyang Jiao, Ming Zhao, Jing Lin, Kaixuan Liang and Chuancang Ding

An on-machine tool path generation method based on hybrid and local point cloud registration for laser deburring of ceramic cores pp. 2223-2238

Wangwang Huang, Xuesong Mei, Gedong Jiang, Dongxiang Hou, Yifei Bi and Yuyan Wang

Gaussian-process based modeling and optimal control of melt-pool geometry in laser powder bed fusion pp. 2239-2256

Yong Ren and Qian Wang

Automated visual detection of geometrical defects in composite manufacturing processes using deep convolutional neural networks pp. 2257-2275

Abtin Djavadifar, John Brandon Graham-Knight, Marian Kӧrber, Patricia Lasserre and Homayoun Najjaran

Failure prediction in production line based on federated learning: an empirical study pp. 2277-2294

Ning Ge, Guanghao Li, Li Zhang and Yi Liu

A novel hypergraph convolution network-based approach for predicting the material removal rate in chemical mechanical planarization pp. 2295-2306

Liqiao Xia, Pai Zheng, Xiao Huang and Chao Liu

An approach for designing smart manufacturing for the research and development of dye-sensitize solar cell pp. 2307-2320

Jorge L. Alonso-Perez, Selene L. Cardenas-Maciel, Balter Trujillo-Navarrete, Edgar A. Reynoso-Soto and Nohe R. Cazarez-Cazarez

A gear machining error prediction method based on adaptive Gaussian mixture regression considering stochastic disturbance pp. 2321-2339

Dayuan Wu, Ping Yan, You Guo, Han Zhou and Jian Chen

A closed-loop intelligent adjustment of process parameters in precise and micro hot-embossing using an in-process optic detection pp. 2341-2355

Kuo Lu, Jin Xie, Risen Wang, Lei Li, Wenzhe Li and Yuning Jiang

Enhanced detection of diverse defects by developing lighting strategies using multiple light sources based on reinforcement learning pp. 2357-2369

Chih-Kai Cheng and Hung-Yin Tsai

New metrics for measuring supply chain reconfigurability pp. 2371-2392

Slim Zidi, Nadia Hamani and Lyes Kermad

“FabNER”: information extraction from manufacturing process science domain literature using named entity recognition pp. 2393-2407

Aman Kumar and Binil Starly

Information fusion and systematic logic library-generation methods for self-configuration of autonomous digital twin pp. 2409-2439

Kyu Tae Park, Sang Ho Lee and Sang Do Noh

An imbalanced data learning method for tool breakage detection based on generative adversarial networks pp. 2441-2455

Shixu Sun, Xiaofeng Hu and Yingchao Liu

Task allocation and coordinated motion planning for autonomous multi-robot optical inspection systems pp. 2457-2470

Yinhua Liu, Wenzheng Zhao, Tim Lutz and Xiaowei Yue

Quality monitoring in multistage manufacturing systems by using machine learning techniques pp. 2471-2486

Mohamed Ismail, Noha A. Mostafa and Ahmed El-assal

Retraction Note: economic IoT strategy: the future technology for health monitoring and diagnostic of agriculture vehicles pp. 2487-2487

Neeraj Gupta, Saurabh Gupta, Mahdi Khosravy, Nilanjan Dey, Nisheeth Joshi, Rubén González Crespo and Nilesh Patel

Volume 33, issue 7, 2022

Machine learning and deep learning based predictive quality in manufacturing: a systematic review pp. 1879-1905

Hasan Tercan and Tobias Meisen

Model predictive force control in milling based on an ensemble Kalman filter pp. 1907-1919

Max Schwenzer, Sebastian Stemmler, Muzaffer Ay, Adrian Karl Rüppel, Thomas Bergs and Dirk Abel

A virtual sensor for backlash in robotic manipulators pp. 1921-1937

Eliana Giovannitti, Sayyidshahab Nabavi, Giovanni Squillero and Alberto Tonda

Switching strategy-based hybrid evolutionary algorithms for job shop scheduling problems pp. 1939-1966

Shahed Mahmud, Ripon K. Chakrabortty, Alireza Abbasi and Michael J. Ryan

Hybrid prediction-optimization approaches for maximizing parts density in SLM of Ti6Al4V titanium alloy pp. 1967-1989

A. Costa, G. Buffa, D. Palmeri, G. Pollara and L. Fratini

The use of Fuzzy rule-based systems in the design process of the metallic products on example of microstructure evolution prediction pp. 1991-2012

Andrzej Macioł and Piotr Macioł

Single system for online monitoring and inspection of automated fiber placement with object segmentation by artificial neural networks pp. 2013-2025

Marco Brysch, Mohammad Bahar, Hans Christoph Hohensee and Michael Sinapius

Understanding unforeseen production downtimes in manufacturing processes using log data-driven causal reasoning pp. 2027-2043

Christopher Hagedorn, Johannes Huegle and Rainer Schlosser

Process optimization via confidence region: a case study from micro-injection molding pp. 2045-2057

Gianluca Trotta, Stefania Cacace and Quirico Semeraro

A hybrid genetic algorithm for parallel machine scheduling with setup times pp. 2059-2073

J. Adan

An unsupervised defect detection model for a dry carbon fiber textile pp. 2075-2092

Martin Szarski and Sunita Chauhan

In-process monitoring and prediction of droplet quality in droplet-on-demand liquid metal jetting additive manufacturing using machine learning pp. 2093-2117

Aniruddha Gaikwad, Tammy Chang, Brian Giera, Nicholas Watkins, Saptarshi Mukherjee, Andrew Pascall, David Stobbe and Prahalada Rao

A novel tracking system for the iron foundry field based on deep convolutional neural networks pp. 2119-2128

Michael Beck, Michael Layh, Markus Nebauer and Bernd R. Pinzer

Capturing and incorporating expert knowledge into machine learning models for quality prediction in manufacturing pp. 2129-2142

Patrick Link, Miltiadis Poursanidis, Jochen Schmid, Rebekka Zache, Martin Kurnatowski, Uwe Teicher and Steffen Ihlenfeldt

Relating wear stages in sheet metal forming based on short- and long-term force signal variations pp. 2143-2155

Philipp Niemietz, Mia J. K. Kornely, Daniel Trauth and Thomas Bergs

Testing the reliability of monocular obstacle detection methods in a simulated 3D factory environment pp. 2157-2165

Marius Wenning, Anton Akira Backhaus, Tobias Adlon and Peter Burggräf

A universal method to compare parts from STEP files pp. 2167-2178

Nishant Ojal, Brian Giera, Kyle T. Devlugt, Adam W. Jaycox and Alexander Blum

Optimal droplet transfer mode maintenance for wire + arc additive manufacturing (WAAM) based on deep learning pp. 2179-2191

Jian Qin, Yipeng Wang, Jialuo Ding and Stewart Williams

Volume 33, issue 6, 2022

Machine learning in continuous casting of steel: a state-of-the-art survey pp. 1561-1579

David Cemernek, Sandra Cemernek, Heimo Gursch, Ashwini Pandeshwar, Thomas Leitner, Matthias Berger, Gerald Klösch and Roman Kern

Applications of artificial intelligence in engineering and manufacturing: a systematic review pp. 1581-1601

Isaac Nti, Adebayo Felix Adekoya, Benjamin Asubam Weyori and Owusu Nyarko-Boateng

A systematic mapping of semi-formal and formal methods in requirements engineering of industrial Cyber-Physical systems pp. 1603-1638

Farzana Zahid, Awais Tanveer, Matthew M. Y. Kuo and Roopak Sinha

A framework for a knowledge based cold spray repairing system pp. 1639-1647

Hongjian Wu, Shaowu Liu, Xinliang Xie, Yicha Zhang, Hanlin Liao and Sihao Deng

A machine vision-based defect detection system for nuclear-fuel rod groove pp. 1649-1663

Xinyu Suo, Jian Liu, Licheng Dong, Chen Shengfeng, Lu Enhui and Chen Ning

Deep learning for machine health prognostics using Kernel-based feature transformation pp. 1665-1680

Shanmugasivam Pillai and Prahlad Vadakkepat

Similarity-based approach for inventive design solutions assistance pp. 1681-1698

Xin Ni, Ahmed Samet and Denis Cavallucci

Nonparametric-copula-entropy and network deconvolution method for causal discovery in complex manufacturing systems pp. 1699-1713

Yanning Sun, Wei Qin and Zilong Zhuang

Novel method for detection of mixed-type defect patterns in wafer maps based on a single shot detector algorithm pp. 1715-1724

Tae San Kim, Jong Wook Lee, Won Kyung Lee and So Young Sohn

Research on flexible job-shop scheduling problem in green sustainable manufacturing based on learning effect pp. 1725-1746

Zhao Peng, Huan Zhang, Hongtao Tang, Yue Feng and Weiming Yin

Explainable AI for domain experts: a post Hoc analysis of deep learning for defect classification of TFT–LCD panels pp. 1747-1759

Minyoung Lee, Joohyoung Jeon and Hongchul Lee

An electric forklift routing problem with battery charging and energy penalty constraints pp. 1761-1777

Seokgi Lee, Hyun Woo Jeon, Mona Issabakhsh and Ahmad Ebrahimi

A fast method for monitoring molten pool in infrared image streams using gravitational superpixels pp. 1779-1794

Angel-Iván García-Moreno

Fuzzy harmony search based optimal control strategy for wireless cyber physical system with industry 4.0 pp. 1795-1812

Mustufa Haider Abidi, Hisham Alkhalefah and Usama Umer

Machining quality monitoring (MQM) in laser-assisted micro-milling of glass using cutting force signals: an image-based deep transfer learning pp. 1813-1828

Yunhan Kim, Taekyum Kim, Byeng D. Youn and Sung-Hoon Ahn

A path planning algorithm for PCB surface quality automatic inspection pp. 1829-1841

Zheng Xiao, Zhenan Wang, Deng Liu and Hui Wang

Machine learning-based optimization of process parameters in selective laser melting for biomedical applications pp. 1843-1858

Hong Seok Park, Dinh Son Nguyen, Thai Le-Hong and Xuan Tran

Discovering critical KPI factors from natural language in maintenance work orders pp. 1859-1877

Madhusudanan Navinchandran, Michael E. Sharp, Michael P. Brundage and Thurston B. Sexton

Volume 33, issue 5, 2022

Pitfalls and protocols of data science in manufacturing practice pp. 1189-1207

Chia-Yen Lee and Chen-Fu Chien

Mathematization of experts knowledge: example of part orientation in additive manufacturing pp. 1209-1227

Mouhamadou Mansour Mbow, Christelle Grandvallet, Frederic Vignat, Philippe Rene Marin, Nicolas Perry and Franck Pourroy

Comprehensive learning Jaya algorithm for engineering design optimization problems pp. 1229-1253

Yiying Zhang and Zhigang Jin

MWRSPCA: online fault monitoring based on moving window recursive sparse principal component analysis pp. 1255-1271

Jinping Liu, Jie Wang, Xianfeng Liu, Tianyu Ma and Zhaohui Tang

An innovative hybrid algorithm for bound-unconstrained optimization problems and applications pp. 1273-1336

Raghav Prasad Parouha and Pooja Verma

A novel approach in selective assembly with an arbitrary distribution to minimize clearance variation using evolutionary algorithms: a comparative study pp. 1337-1354

Lenin Nagarajan, Siva Kumar Mahalingam, Jayakrishna Kandasamy and Selvakumar Gurusamy

Spatial–temporal out-of-order execution for advanced planning and scheduling in cyber-physical factories pp. 1355-1372

Mingxing Li, Ray Y. Zhong, Ting Qu and George Q. Huang

Serial number inspection for ceramic membranes via an end-to-end photometric-induced convolutional neural network framework pp. 1373-1392

Feiyang Li, Nian Cai, Xueliang Deng, Jiahao Li, Jianfa Lin and Han Wang

Prediction of the parameters affecting the performance of compact heat exchangers with an innovative design using machine learning techniques pp. 1393-1417

Sinan Uguz and Osman Ipek

An automatic calibration algorithm for laser vision sensor in robotic autonomous welding system pp. 1419-1432

Runquan Xiao, Yanling Xu, Zhen Hou, Chao Chen and Shanben Chen

Diagnostics of industrial equipment and faults prediction based on modified algorithms of artificial immune systems pp. 1433-1450

Galina Samigulina and Zarina Samigulina

A blockchain technology based trust system for cloud manufacturing pp. 1451-1465

Reza Vatankhah Barenji

Modelling and prediction of surface roughness in wire arc additive manufacturing using machine learning pp. 1467-1482

Chunyang Xia, Zengxi Pan, Joseph Polden, Huijun Li, Yanling Xu and Shanben Chen

A kMap optimized VMD-SVM model for milling chatter detection with an industrial robot pp. 1483-1502

Yu Wang, Mingkai Zhang, Xiaowei Tang, Fangyu Peng and Rong Yan

An improved approach of task-parameterized learning from demonstrations for cobots in dynamic manufacturing pp. 1503-1519

Shirine El Zaatari, Yuqi Wang, Yudie Hu and Weidong Li

Degradation principle of machines influenced by maintenance pp. 1521-1530

Yuanju Qu and Zengtao Hou

Fault classification in the process industry using polygon generation and deep learning pp. 1531-1544

Mohamed Elhefnawy, Ahmed Ragab and Mohamed-Salah Ouali

A framework for multi-robot coverage analysis of large and complex structures pp. 1545-1560

Penglei Dai, Mahdi Hassan, Xuerong Sun, Ming Zhang, Zhengwei Bian and Dikai Liu

Volume 33, issue 4, 2022

On reliability of reinforcement learning based production scheduling systems: a comparative survey pp. 911-927

Constantin Waubert de Puiseau, Richard Meyes and Tobias Meisen

An estimation distribution algorithm for wave-picking warehouse management pp. 929-942

Jingran Liang, Zhengning Wu, Chenye Zhu and Zhi-Hai Zhang

Surface roughness stabilization method based on digital twin-driven machining parameters self-adaption adjustment: a case study in five-axis machining pp. 943-952

Zengya Zhao, Sibao Wang, Zehua Wang, Shilong Wang, Chi Ma and Bo Yang

A novel hybrid immune clonal selection algorithm for the constrained corridor allocation problem pp. 953-972

Junqi Liu, Zeqiang Zhang, Feng Chen, Silu Liu and Lixia Zhu

Deep prototypical networks based domain adaptation for fault diagnosis pp. 973-983

Huanjie Wang, Xiwei Bai, Jie Tan and Jiechao Yang

A real-time defective pixel detection system for LCDs using deep learning based object detectors pp. 985-994

Aslı Çelik, Ayhan Küçükmanisa, Aydın Sümer, Aysun Taşyapı Çelebi and Oğuzhan Urhan

Prediction of cell viability in dynamic optical projection stereolithography-based bioprinting using machine learning pp. 995-1005

Heqi Xu, Qingyang Liu, Jazzmin Casillas, Mei Mcanally, Noshin Mubtasim, Lauren S. Gollahon, Dazhong Wu and Changxue Xu

Synthetic data augmentation for surface defect detection and classification using deep learning pp. 1007-1020

Saksham Jain, Gautam Seth, Arpit Paruthi, Umang Soni and Girish Kumar

Dispatching method based on particle swarm optimization for make-to-availability pp. 1021-1030

Robson Flavio Castro, Moacir Godinho-Filho and Roberto Fernandes Tavares-Neto

Gear and bearing fault classification under different load and speed by using Poincaré plot features and SVM pp. 1031-1055

Rubén Medina, Jean Carlo Macancela, Pablo Lucero, Diego Cabrera, René-Vinicio Sánchez and Mariela Cerrada

A sequential resampling approach for imbalanced batch process fault detection in semiconductor manufacturing pp. 1057-1072

Yi Zhang, Peng Peng, Chongdang Liu, Yanyan Xu and Heming Zhang

Machine learning integrated design for additive manufacturing pp. 1073-1086

Jingchao Jiang, Yi Xiong, Zhiyuan Zhang and David W. Rosen

Heuristic based approach for short term production planning in highly automated customer oriented pallet production pp. 1087-1098

Matthias Kaltenbrunner, Maria Anna Huka and Manfred Gronalt

Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks pp. 1099-1123

Tobias Schlosser, Michael Friedrich, Frederik Beuth and Danny Kowerko

Multi-objective optimisation of ultrasonically welded dissimilar joints through machine learning pp. 1125-1138

Patrick G. Mongan, Vedant Modi, John W. McLaughlin, Eoin P. Hinchy, Ronan M. O’Higgins, Noel P. O’Dowd and Conor T. McCarthy

Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding pp. 1139-1163

Baifan Zhou, Tim Pychynski, Markus Reischl, Evgeny Kharlamov and Ralf Mikut

Layer-by-layer model-based adaptive control for wire arc additive manufacturing of thin-wall structures pp. 1165-1180

Haochen Mu, Joseph Polden, Yuxing Li, Fengyang He, Chunyang Xia and Zengxi Pan

Correction to: An effective approach for the dual-resource flexible job shop scheduling problem considering loading and unloading pp. 1181-1188

Xiuli Wu, Junjian Peng, Xiao Xiao and Shaomin Wu

Volume 33, issue 3, 2022

Universal manufacturing: data, resiliency, and sustainability linkages pp. 637-638

Andrew Kusiak

Factors for choosing production control systems in make-to-order shops: a systematic literature review pp. 639-674

Fernando José Gómez Paredes, Moacir Godinho Filho, Matthias Thürer, Nuno O. Fernandes and Charbel José Chiappeta Jabbour

On-line prediction of ultrasonic elliptical vibration cutting surface roughness of tungsten heavy alloy based on deep learning pp. 675-685

Yanan Pan, Renke Kang, Zhigang Dong, Wenhao Du, Sen Yin and Yan Bao

A prediction approach of SLM based on the ensemble of metamodels considering material efficiency, energy consumption, and tensile strength pp. 687-702

Jingchang Li, Longchao Cao, Jiexiang Hu, Minhua Sheng, Qi Zhou and Peng Jin

Optimization of the integrated fleet-level imperfect selective maintenance and repairpersons assignment problem pp. 703-718

A. Khatab, C. Diallo, E.-H. Aghezzaf and U. Venkatadri

A clustering approach for modularizing service-oriented systems pp. 719-734

Omar Ezzat, Khaled Medini, Xavier Boucher and Xavier Delorme

An effective adaptive adjustment method for service composition exception handling in cloud manufacturing pp. 735-751

Yankai Wang, Shilong Wang, Bo Yang, Bo Gao and Sibao Wang

Assembly quality evaluation for linear axis of machine tool using data-driven modeling approach pp. 753-769

Yang Hui, Xuesong Mei, Gedong Jiang, Fei Zhao, Ziwei Ma and Tao Tao

Automated inspection in robotic additive manufacturing using deep learning for layer deformation detection pp. 771-784

Omid Davtalab, Ali Kazemian, Xiao Yuan and Behrokh Khoshnevis

Bayesian network for integrated circuit testing probe card fault diagnosis and troubleshooting to empower Industry 3.5 smart production and an empirical study pp. 785-798

Wenhan Fu, Chen-Fu Chien and Lizhen Tang

Decision rule mining for machining method chains based on rough set theory pp. 799-807

Rui Wang, Xiangyu Guo, Shisheng Zhong, Gaolei Peng and Lin Wang

An end-to-end fault diagnostics method based on convolutional neural network for rotating machinery with multiple case studies pp. 809-830

Yiwei Wang, Jian Zhou, Lianyu Zheng and Christian Gogu

Ensemble convolutional neural networks with weighted majority for wafer bin map pattern classification pp. 831-844

Chia-Yu Hsu and Ju-Chien Chien

Detecting voids in 3D printing using melt pool time series data pp. 845-852

Vivek Mahato, Muhannad Ahmed Obeidi, Dermot Brabazon and Pádraig Cunningham

Prescribed performance fuzzy back-stepping control of a flexible air-breathing hypersonic vehicle subject to input constraints pp. 853-866

Hanqiao Huang, Chang Luo and Bo Han

Bagging for Gaussian mixture regression in robot learning from demonstration pp. 867-879

Congcong Ye, Jixiang Yang and Han Ding

Machine learning model to predict welding quality using air-coupled acoustic emission and weld inputs pp. 881-895

Kaiser Asif, Lu Zhang, Sybil Derrible, J. Ernesto Indacochea, Didem Ozevin and Brian Ziebart

Digital twin of functional gating system in 3D printed molds for sand casting using a neural network pp. 897-909

Ahmed Ktari and Mohamed El Mansori

Volume 33, issue 2, 2022

Laser pyrolysis in papers and patents pp. 353-385

Christian Spreafico, Davide Russo and Riccardo Degl’Innocenti

A review of motion planning algorithms for intelligent robots pp. 387-424

Chengmin Zhou, Bingding Huang and Pasi Fränti

Trends in intelligent manufacturing research: a keyword co-occurrence network based review pp. 425-439

Chenxi Yuan, Guoyan Li, Sagar Kamarthi, Xiaoning Jin and Mohsen Moghaddam

Towards scalable and reusable predictive models for cyber twins in manufacturing systems pp. 441-455

Cinzia Giannetti and Aniekan Essien

Deep semi-supervised learning of dynamics for anomaly detection in laser powder bed fusion pp. 457-471

Sebastian Larsen and Paul A. Hooper

Generative models for capturing and exploiting the influence of process conditions on process curves pp. 473-492

Tarek Iraki and Norbert Link

Transformation of a rolling mill aggregate to a cyber physical production system: from sensor retrofitting to machine learning pp. 493-518

Benjamin James Ralph, Marcel Sorger, Karin Hartl, Andreas Schwarz-Gsaxner, Florian Messner and Martin Stockinger

A computational method for detecting aspect ratio and problematic features in additive manufacturing pp. 519-535

Ruihuan Ge and Joseph Flynn

Simulation-based layout optimization for multi-station assembly lines pp. 537-554

Daria Leiber, David Eickholt, Anh-Tu Vuong and Gunther Reinhart

Comparison of algorithms for error prediction in manufacturing with automl and a cost-based metric pp. 555-573

Alexander Gerling, Holger Ziekow, Andreas Hess, Ulf Schreier, Christian Seiffer and Djaffar Ould Abdeslam

Modelling and condition-based control of a flexible and hybrid disassembly system with manual and autonomous workstations using reinforcement learning pp. 575-591

Marco Wurster, Marius Michel, Marvin Carl May, Andreas Kuhnle, Nicole Stricker and Gisela Lanza

Real-time grasping strategies using event camera pp. 593-615

Xiaoqian Huang, Mohamad Halwani, Rajkumar Muthusamy, Abdulla Ayyad, Dewald Swart, Lakmal Seneviratne, Dongming Gan and Yahya Zweiri

Effect and control of path parameters on thickness distribution of cylindrical cups formed via multi-pass conventional spinning pp. 617-635

Shiori Gondo and Hirohiko Arai

Volume 33, issue 1, 2022

A comprehensive review of robotic assembly line balancing problem pp. 1-34

Parames Chutima

Human-centred design in industry 4.0: case study review and opportunities for future research pp. 35-76

Hien Nguyen Ngoc, Ganix Lasa and Ion Iriarte

Intelligent setting of process parameters for injection molding based on case-based reasoning of molding features pp. 77-89

Shengrui Yu, Tianfeng Zhang, Yun Zhang, Zhigao Huang, Huang Gao, Wen Han, Lih-Sheng Turng and Huamin Zhou

Online monitoring of resistance spot welding electrode wear state based on dynamic resistance pp. 91-101

Lei Zhou, Tianjian Li, Wenjia Zheng, Zhongdian Zhang, Zhenglong Lei, Laijun Wu, Shiliang Zhu and Wenming Wang

Investigation on industrial dataspace for advanced machining workshops: enabling machining operations control with domain knowledge and application case studies pp. 103-119

Pulin Li, Kai Cheng, Pingyu Jiang and Kanet Katchasuwanmanee

Chatter detection for milling using novel p-leader multifractal features pp. 121-135

Yun Chen, Huaizhong Li, Liang Hou, Xiangjian Bu, Shaogan Ye and Ding Chen

Genetic algorithm based approaches to solve the order batching problem and a case study in a distribution center pp. 137-149

Çağla Cergibozan and A. Serdar Tasan

A novel transfer learning fault diagnosis method based on Manifold Embedded Distribution Alignment with a little labeled data pp. 151-165

Ke Zhao, Hongkai Jiang, Zhenghong Wu and Tengfei Lu

Approach to derive golden paths based on machine sequence patterns in multistage manufacturing process pp. 167-183

Chang-Ho Lee, Dong-Hee Lee, Young-Mok Bae, Seung-Hyun Choi, Ki-Hun Kim and Kwang-Jae Kim

Underdetermined blind source extraction of early vehicle bearing faults based on EMD and kernelized correlation maximization pp. 185-201

Xuejun Zhao, Yong Qin, Changbo He and Limin Jia

Improving the accuracy of machine-learning models with data from machine test repetitions pp. 203-221

Andres Bustillo, Roberto Reis, Alisson R. Machado and Danil Yu. Pimenov

Hierarchical multistrategy genetic algorithm for integrated process planning and scheduling pp. 223-246

Xu Zhang, Zhixue Liao, Lichao Ma and Jin Yao

Tool wear condition monitoring based on a two-layer angle kernel extreme learning machine using sound sensor for milling process pp. 247-258

Yuqing Zhou, Bintao Sun, Weifang Sun and Zhi Lei

Smart sheet metal forming: importance of data acquisition, preprocessing and transformation on the performance of a multiclass support vector machine for predicting wear states during blanking pp. 259-282

Christian Kubik, Sebastian Michael Knauer and Peter Groche

Continual learning of neural networks for quality prediction in production using memory aware synapses and weight transfer pp. 283-292

Hasan Tercan, Philipp Deibert and Tobias Meisen

Towards real-time in-situ monitoring of hot-spot defects in L-PBF: a new classification-based method for fast video-imaging data analysis pp. 293-309

Matteo Bugatti and Bianca Maria Colosimo

Designing and developing smart production planning and control systems in the industry 4.0 era: a methodology and case study pp. 311-332

Olumide Emmanuel Oluyisola, Swapnil Bhalla, Fabio Sgarbossa and Jan Ola Strandhagen

Deep reinforcement learning methods for structure-guided processing path optimization pp. 333-352

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