Journal of Intelligent Manufacturing

2009 - 2025

Current editor(s): Andrew Kusiak

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Volume 34, issue 8, 2023

Advances in machine learning and deep learning applications towards wafer map defect recognition and classification: a review pp. 3215-3247

Tongwha Kim and Kamran Behdinan

A review of machine learning techniques for process and performance optimization in laser beam powder bed fusion additive manufacturing pp. 3249-3275

Jia Liu, Jiafeng Ye, Daniel Silva Izquierdo, Aleksandr Vinel, Nima Shamsaei and Shuai Shao

A systematic review of data-driven approaches to fault diagnosis and early warning pp. 3277-3304

Peng Jieyang, Andreas Kimmig, Wang Dongkun, Zhibin Niu, Fan Zhi, Wang Jiahai, Xiufeng Liu and Jivka Ovtcharova

A systematic review on data of additive manufacturing for machine learning applications: the data quality, type, preprocessing, and management pp. 3305-3340

Ying Zhang, Mutahar Safdar, Jiarui Xie, Jinghao Li, Manuel Sage and Yaoyao Fiona Zhao

A universal predictor-based machine learning model for optimal process maps in laser powder bed fusion process pp. 3341-3363

Zhaochen Gu, Shashank Sharma, Daniel A. Riley, Mangesh V. Pantawane, Sameehan S. Joshi, Song Fu and Narendra B. Dahotre

Cross-domain adaptation network based on attention mechanism for tool wear prediction pp. 3365-3387

Jianliang He, Yuxin Sun, Chen Yin, Yan He and Yulin Wang

Manufacturing process classification based on heat kernel signature and convolutional neural networks pp. 3389-3411

Zhichao Wang and David Rosen

Meta-FSDet: a meta-learning based detector for few-shot defects of photovoltaic modules pp. 3413-3427

Shijie Wang, Haiyong Chen, Kun Liu, Ying Zhou and Huichuan Feng

An online intelligent method for roller path design in conventional spinning pp. 3429-3444

Pengfei Gao, Xinggang Yan, Yao Wang, Hongwei Li, Mei Zhan, Fei Ma and Mingwang Fu

Integrated scheduling of production, inventory and imperfect maintenance based on mutual feedback of supplier and demander in distributed environment pp. 3445-3467

Zhen Wang, Qianwang Deng, Like Zhang and Xiaoyan Liu

SPECTRE: a deep learning network for posture recognition in manufacturing pp. 3469-3481

Marianna Ciccarelli, Flavio Corradini, Michele Germani, Giacomo Menchi, Leonardo Mostarda, Alessandra Papetti and Marco Piangerelli

Unified discriminant manifold learning for rotating machinery fault diagnosis pp. 3483-3494

Changyuan Yang, Sai Ma and Qinkai Han

A novel feature-fusion-based end-to-end approach for remaining useful life prediction pp. 3495-3505

Qiwu Zhu, Qingyu Xiong, Zhengyi Yang and Yang Yu

Few-shot defect recognition of metal surfaces via attention-embedding and self-supervised learning pp. 3507-3521

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

Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering pp. 3523-3561

Laith Abualigah, Mohamed Abd Elaziz, Dalia Yousri, Mohammed A. A. Al-qaness, Ahmed A. Ewees and Raed Abu Zitar

Conductive particle detection via efficient encoder–decoder network pp. 3563-3577

Yuanyuan Wang, Ling Ma, Lihua Jian and Huiqin Jiang

A digital shadow framework using distributed system concepts pp. 3579-3598

Ayman AboElHassan and Soumaya Yacout

CNN and ensemble learning based wafer map failure pattern recognition based on local property based features pp. 3599-3621

Minghao Piao and Cheng Hao Jin

Optimization of injection molding process using multi-objective bayesian optimization and constrained generative inverse design networks pp. 3623-3636

Jiyoung Jung, Kundo Park, Byungjin Cho, Jinkyoo Park and Seunghwa Ryu

A cyber-physical prototype system in augmented reality using RGB-D camera for CNC machining simulation pp. 3637-3658

PengYu Wang, Wen-An Yang and YouPeng You

Volume 34, issue 7, 2023

Measuring manufacturing system complexity: a literature review pp. 2865-2888

Germán Herrera Vidal, Jairo R. Coronado-Hernández and Claudia Minnaard

Knowledge-embedded machine learning and its applications in smart manufacturing pp. 2889-2906

Farzam Farbiz, Mohd Salahuddin Habibullah, Brahim Hamadicharef, Tomasz Maszczyk and Saurabh Aggarwal

Shape regulation of tapered microchannels in silica glass ablated by femtosecond laser with theoretical modeling and machine learning pp. 2907-2924

Kai Liao, Wenjun Wang, Xuesong Mei, Wenwen Tian, Hai Yuan, Mingqiong Wang and Bozhe Wang

Cascaded foreign object detection in manufacturing processes using convolutional neural networks and synthetic data generation methodology pp. 2925-2941

Jixiang Tang, Huan Zhou, Tiankui Wang, Zhenxun Jin, Youli Wang and Xuanyin Wang

A new differentiable architecture search method for optimizing convolutional neural networks in the digital twin of intelligent robotic grasping pp. 2943-2961

Weifei Hu, Jinyi Shao, Qing Jiao, Chuxuan Wang, Jin Cheng, Zhenyu Liu and Jianrong Tan

The integrated process planning and scheduling of flexible job-shop-type remanufacturing systems using improved artificial bee colony algorithm pp. 2963-2988

Wenkang Zhang, Yufan Zheng and Rafiq Ahmad

Foreign objects detection using deep learning techniques for graphic card assembly line pp. 2989-3000

R. J. Kuo and Faisal Fuad Nursyahid

Deep generative model with time series-image encoding for manufacturing fault detection in die casting process pp. 3001-3014

Jiyoung Song, Young Chul Lee and Jeongsu Lee

Optimizing semiconductor processing open tube furnace performance: comparative analysis of PI and Mamdani fuzzy-PI controllers pp. 3015-3024

Wesley Beccaro, Carlos A. S. Ramos and Silvio X. Duarte

Federated learning-based collaborative manufacturing for complex parts pp. 3025-3038

Tianchi Deng, Yingguang Li, Xu Liu and Lihui Wang

A digital apprentice for chatter detection in machining via human–machine interaction pp. 3039-3052

Xiaoliang Yan, Shreyes Melkote, Anant Kumar Mishra and Sudhir Rajagopalan

Combining human guidance and structured task execution during physical human–robot collaboration pp. 3053-3067

Jonathan Cacace, Riccardo Caccavale, Alberto Finzi and Riccardo Grieco

Automated manufacturability analysis in smart manufacturing systems: a signature mapping method for product-centered digital twins pp. 3069-3090

Kaishu Xia, Thorsten Wuest and Ramy Harik

Automatic quality inspection in additive manufacturing using semi-supervised deep learning pp. 3091-3108

Siyamalan Manivannan

Evaluation of the reliability of resistance spot welding control via on-line monitoring of dynamic resistance pp. 3109-3129

Sergey Butsykin, Anton Gordynets, Alexey Kiselev and Mikhail Slobodyan

A layer-wise neural network for multi-item single-output quality estimation pp. 3131-3141

Edward K. Y. Yapp, Abhishek Gupta and Xiang Li

Imbalanced fault diagnosis based on semi-supervised ensemble learning pp. 3143-3158

Chuanxia Jian and Yinhui Ao

Data-manifold-based monitoring and anomaly diagnosis for manufacturing process pp. 3159-3177

Faping Zhang, Jialun Zhang and Junjiu Ma

Extracting and supplementing method for EEG signal in manufacturing workshop based on deep learning of time–frequency correlation pp. 3179-3196

Bin Ren and Yunjie Pan

An adaptive feature reconstruction network for the precise segmentation of surface defects on printed circuit boards pp. 3197-3214

Danqing Kang, Jianhuang Lai, Junyong Zhu and Yu Han

Volume 34, issue 6, 2023

Manufacturing metaverse pp. 2511-2512

Andrew Kusiak

Title: production planning and control in industry 4.0 environment: a morphological analysis of literature and research agenda pp. 2513-2528

Anupama Prashar

A systematic literature review on recent trends of machine learning applications in additive manufacturing pp. 2529-2555

Md Doulotuzzaman Xames, Fariha Kabir Torsha and Ferdous Sarwar

Applications of machine learning in metal powder-bed fusion in-process monitoring and control: status and challenges pp. 2557-2580

Yingjie Zhang and Wentao Yan

A novel vision-based method for loosening detection of marked T-junction pipe fittings integrating GAN-based segmentation and SVM-based classification algorithms pp. 2581-2597

Xinjian Deng, Jianhua Liu, Hao Gong and Jiayu Huang

A machining feature recognition approach based on hierarchical neural network for multi-feature point cloud models pp. 2599-2610

Xinhua Yao, Di Wang, Tao Yu, Congcong Luan and Jianzhong Fu

Industrial system working condition identification using operation-adjusted hidden Markov model pp. 2611-2624

Jinwen Sun, Akash Deep, Shiyu Zhou and Dharmaraj Veeramani

DRKPCA-VBGMM: fault monitoring via dynamically-recursive kernel principal component analysis with variational Bayesian Gaussian mixture model pp. 2625-2653

Meiling Cai, Yaqin Shi, Jinping Liu, Jean Paul Niyoyita, Hadi Jahanshahi and Ayman A. Aly

Conceptual design of product structures based on WordNet hierarchy and association relation pp. 2655-2671

Yanlin Shi and Qingjin Peng

Toward online layer-wise surface morphology measurement in additive manufacturing using a deep learning-based approach pp. 2673-2689

Chenang Liu, Rongxuan Raphael Wang, Ian Ho, Zhenyu James Kong, Christopher Williams, Suresh Babu and Chase Joslin

Correction to: Toward online layer-wise surface morphology measurement in additive manufacturing using a deep learning-based approach pp. 2691-2691

Chenang Liu, Rongxuan Raphael Wang, Ian Ho, Zhenyu James Kong, Christopher Williams, Suresh Babu and Chase Joslin

Boosted Harris Hawks gravitational force algorithm for global optimization and industrial engineering problems pp. 2693-2728

Laith Abualigah, Ali Diabat, Davor Svetinovic and Mohamed Abd Elaziz

Smart classification method to detect irregular nozzle spray patterns inside carbon black reactor using ensemble transfer learning pp. 2729-2745

Sung-Mook Oh, Jin Park, Jinsun Yang, Young-Gyun Oh and Kyung-Woo Yi

Automatic color pattern recognition of multispectral printed fabric images pp. 2747-2763

Jie Zhang, Pengpeng Yao, Hochung Wu and John H. Xin

Digital Twin and web services for robotic deburring in intelligent manufacturing pp. 2765-2781

Liliana Stan, Adrian Florin Nicolescu, Cristina Pupăză and Gabriel Jiga

RBD-Net: robust breakage detection algorithm for industrial leather pp. 2783-2796

Rong Luo, Ruihu Chen, Fengting Jia, Biru Lin, Jie Liu, Yafei Sun, Xinbo Yang and Weikuan Jia

IPPE-PCR: a novel 6D pose estimation method based on point cloud repair for texture-less and occluded industrial parts pp. 2797-2807

Wei Qin, Qing Hu, Zilong Zhuang, Haozhe Huang, Xiaodan Zhu and Lin Han

Improving the functional performances for product family by mining online reviews pp. 2809-2824

Chao He, Zhongkai Li, Dengzhuo Liu, Guangyu Zou and Shuai Wang

A nesting optimization method based on digital contour similarity matching for additive manufacturing pp. 2825-2847

Yizhe Yang, Bingshan Liu, Haochen Li, Xin Li, Gong Wang and Shan Li

Part family formation method for delayed reconfigurable manufacturing system based on machine learning pp. 2849-2863

Sihan Huang, Guoxin Wang, Shiqi Nie, Bin Wang and Yan Yan

Volume 34, issue 5, 2023

Automatic root cause analysis in manufacturing: an overview & conceptualization pp. 2061-2078

Eduardo Oliveira, Vera L. Miguéis and José L. Borges

Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review pp. 2079-2121

Danil Yu Pimenov, Andres Bustillo, Szymon Wojciechowski, Vishal S. Sharma, Munish K. Gupta and Mustafa Kuntoğlu

Context-sensitive lexicon for imbalanced text sentiment classification using bidirectional LSTM pp. 2123-2132

M. R. Pavan Kumar and Prabhu Jayagopal

Pipeline for ontology-based modeling and automated deployment of digital twins for planning and control of manufacturing systems pp. 2133-2152

Amon Göppert, Lea Grahn, Jonas Rachner, Dennis Grunert, Simon Hort and Robert H. Schmitt

Research on recognition methods of spot-welding surface appearances based on transfer learning and a lightweight high-precision convolutional neural network pp. 2153-2170

Meng Xiao, Bo Yang, Shilong Wang, Yongsheng Chang, Song Li and Gang Yi

A novel machine learning algorithm for interval systems approximation based on artificial neural network pp. 2171-2184

Raouf Zerrougui, Amel B. H. Adamou-Mitiche and Lahcene Mitiche

Autonomous self-healing mechanism for a CNC milling machine based on pattern recognition pp. 2185-2205

Hussein A. Taha, Soumaya Yacout and Yasser Shaban

A dynamic mode decomposition based deep learning technique for prognostics pp. 2207-2224

Khaled Akkad and David He

Guided deep subdomain adaptation network for fault diagnosis of different types of rolling bearings pp. 2225-2240

Ruohui Hu, Min Zhang, Zaiyu Xiang and Jiliang Mo

A fuzzy multi-criteria approach based on Clarke and Wright savings algorithm for vehicle routing problem in humanitarian aid distribution pp. 2241-2261

Merve Cengiz Toklu

Efficient stability prediction of milling process with arbitrary tool-holder combinations based on transfer learning pp. 2263-2279

Congying Deng, Jielin Tang, Jianguo Miao, Yang Zhao, Xiang Chen and Sheng Lu

Digital twin-driven dynamic scheduling of a hybrid flow shop pp. 2281-2306

Khalil Tliba, Thierno M. L. Diallo, Olivia Penas, Romdhane Ben Khalifa, Noureddine Ben Yahia and Jean-Yves Choley

Image-based characterization of laser scribing quality using transfer learning pp. 2307-2319

Mohammad Najjartabar Bisheh, Xinya Wang, Shing I. Chang, Shuting Lei and Jianfeng Ma

The 3D narrow butt weld seam detection system based on the binocular consistency correction pp. 2321-2332

Xingguo Wang, Tianyun Chen, Yiming Wang, Dongliang Zheng, Xiaoyu Chen and Zhuang Zhao

An edge-based algorithm for tool wear monitoring in repetitive milling processes pp. 2333-2343

Rui Liu

Reconstruction of 3D surfaces from incomplete digitisations using statistical shape models for manufacturing processes pp. 2345-2358

José M. Navarro-Jiménez, José V. Aguado, Grégoire Bazin, Vicente Albero and Domenico Borzacchiello

Few-shot RUL estimation based on model-agnostic meta-learning pp. 2359-2372

Yu Mo, Liang Li, Biqing Huang and Xiu Li

Convolutional neural networks for prediction of geometrical errors in incremental sheet metal forming pp. 2373-2386

Darren Wei Wen Low, Akshay Chaudhari, Dharmesh Kumar and A. Senthil Kumar

Digital twin-based decision making paradigm of raise boring method pp. 2387-2405

Fuwen Hu, Xianjin Qiu, Guoye Jing, Jian Tang and Yuanzhi Zhu

Nature inspired algorithms for the solution of inverse heat transfer problems applied to distinct unsteady heat flux orientations in cylindrical castings pp. 2407-2430

Carlos Henrique Silva-Santos, Pedro Roberto Goulart, Felipe Bertelli, Amauri Garcia and Noé Cheung

Automated real-time detection of surface defects in manufacturing processes of aluminum alloy strip using a lightweight network architecture pp. 2431-2447

Zhuxi Ma, Yibo Li, Minghui Huang, Qianbin Huang, Jie Cheng and Si Tang

A novel data-driven method based on sample reliability assessment and improved CNN for machinery fault diagnosis with non-ideal data pp. 2449-2462

Xin Zhang, Haifeng Wang, Bo Wu, Quan Zhou and Youmin Hu

A novel disassembly process of end-of-life lithium-ion batteries enhanced by online sensing and machine learning techniques pp. 2463-2475

Yingqi Lu, Maede Maftouni, Tairan Yang, Panni Zheng, David Young, Zhenyu James Kong and Zheng Li

Automatic selection system of the building orientation based on double-layer priority aggregation multi-attribute decision-making pp. 2477-2493

Yizhe Yang, Bingshan Liu, Haochen Li, Xin Li, Xiaodong Liu and Gong Wang

Automatic extraction of inventive information out of patent texts in support of manufacturing design studies using Natural Languages Processing pp. 2495-2509

Daria Berdyugina and Denis Cavallucci

Volume 34, issue 4, 2023

Automated guided vehicles position control: a systematic literature review pp. 1483-1545

Wallace Pereira Neves dos Reis, Giselle Elias Couto and Orides Morandin Junior

Group teaching optimization algorithm with information sharing for numerical optimization and engineering optimization pp. 1547-1571

Yiying Zhang and Aining Chi

Feature selection and domain adaptation for cross-machine product quality prediction pp. 1573-1584

Yu Wang, Wei Cui, Nhu Khue Vuong, Zhenghua Chen, Yu Zhou and Min Wu

YDRSNet: an integrated Yolov5-Deeplabv3 + real-time segmentation network for gear pitting measurement pp. 1585-1599

Dejun Xi, Yi Qin and Sijun Wang

A multiple position-based bi-branch model for structural defect inspection pp. 1601-1614

Fangjun Wang, Zhouwang Yang, Zhangjin Huang and Yanzhi Song

A multitask context-aware approach for design lesson-learned knowledge recommendation in collaborative product design pp. 1615-1637

Yongjun Ji, Zuhua Jiang, Xinyu Li, Yongwen Huang and Fuhua Wang

Enhanced Equilibrium Optimizer algorithm applied in job shop scheduling problem pp. 1639-1665

Ying Sun, Jeng-Shyang Pan, Pei Hu and Shu-Chuan Chu

Few-shot fault diagnosis of rotating machinery with two-branch prototypical networks pp. 1667-1681

Cuixia Jiang, Hao Chen, Qifa Xu and Xiangxiang Wang

Product quality prediction in pulsed laser cutting of silicon steel sheet using vibration signals and deep neural network pp. 1683-1699

Andhi Indira Kusuma and Yi-Mei Huang

Fast and accurate prediction of temperature evolutions in additive manufacturing process using deep learning pp. 1701-1719

Thinh Quy Duc Pham, Truong Vinh Hoang, Xuan Tran, Quoc Tuan Pham, Seifallah Fetni, Laurent Duchêne, Hoang Son Tran and Anne-Marie Habraken

A novel monitoring method of nanosecond laser scribing float glass with acoustic emission pp. 1721-1729

Weinan Liu, Guojun Zhang, Yu Huang, Wenyuan Li, Youmin Rong and Ranwu Yang

Casting plate defect detection using motif discovery with minimal model training and small data sets pp. 1731-1742

Amanjeet Singh Bhatia, Rado Kotorov and Lianhua Chi

Intelligent monitoring of multi-axis robots for online diagnostics of unknown arm deviations pp. 1743-1759

Moncef Soualhi, Khanh T. P. Nguyen, Kamal Medjaher, Denis Lebel and David Cazaban

Correction to: Intelligent monitoring of multi-axis robots for online diagnostics of unknown arm deviations pp. 1761-1761

Moncef Soualhi, Khanh T. P. Nguyen, Kamal Medjaher, Denis Lebel and David Cazaban

An improved artificial algae algorithm integrated with differential evolution for job-shop scheduling problem pp. 1763-1778

Abdelmonem M. Ibrahim and Mohamed A. Tawhid

SPRBF-ABLS: a novel attention-based broad learning systems with sparse polynomial-based radial basis function neural networks pp. 1779-1794

Jing Wang, Shubin Lyu, C. L. Philip Chen, Huimin Zhao, Zhengchun Lin and Pingsheng Quan

Hybrid data augmentation method for combined failure recognition in rotating machines pp. 1795-1813

Dionísio H. C. S. S. Martins, Amaro A. Lima, Milena F. Pinto, Douglas de O. Hemerly, Thiago de M. Prego, Fabrício L. e Silva, Luís Tarrataca, Ulisses A. Monteiro, Ricardo H. R. Gutiérrez and Diego B. Haddad

An LSTM-autoencoder based online side channel monitoring approach for cyber-physical attack detection in additive manufacturing pp. 1815-1831

Zhangyue Shi, Abdullah Al Mamun, Chen Kan, Wenmeng Tian and Chenang Liu

Improved multi-core arithmetic optimization algorithm-based ensemble mutation for multidisciplinary applications pp. 1833-1874

Laith Abualigah and Ali Diabat

A Smart system in Manufacturing with Mass Personalization (S-MMP) for blueprint and scenario driven by industrial model transformation pp. 1875-1893

Xianyu Zhang and Xinguo Ming

An end-to-end welding defect detection approach based on titanium alloy time-of-flight diffraction images pp. 1895-1909

Zelin Zhi, Hongquan Jiang, Deyan Yang, Jianmin Gao, Quansheng Wang, Xiaoqiao Wang, Jingren Wang and Yongxiang Wu

Enhanced cuckoo search algorithm for industrial winding process modeling pp. 1911-1940

Malik Braik, Alaa Sheta, Heba Al-Hiary and Sultan Aljahdali

Recognition of abnormal patterns in industrial processes with variable window size via convolutional neural networks and AdaBoost pp. 1941-1963

Ahmed Maged and Min Xie

Deep graph feature learning-based diagnosis approach for rotating machinery using multi-sensor data pp. 1965-1974

Kaibo Zhou, Chaoying Yang, Jie Liu and Qi Xu

Predicting part distortion field in additive manufacturing: a data-driven framework pp. 1975-1993

Osama Aljarrah, Jun Li, Alfa Heryudono, Wenzhen Huang and Jing Bi

Automated surface defect detection framework using machine vision and convolutional neural networks pp. 1995-2011

Swarit Anand Singh and K. A. Desai

Robust modeling method for thermal error of CNC machine tools based on random forest algorithm pp. 2013-2026

Mengrui Zhu, Yun Yang, Xiaobing Feng, Zhengchun Du and Jianguo Yang

A novel process planning method of 3 + 2-axis additive manufacturing for aero-engine blade based on machine learning pp. 2027-2042

Chenglin Li, Baohai Wu, Zhao Zhang and Ying Zhang

Data-driven product configuration improvement and product line restructuring with text mining and multitask learning pp. 2043-2059

Zhen-Yu Chen, Xin-Li Liu and Li-Ping Yin

Volume 34, issue 3, 2023

Reinforcement learning applications to machine scheduling problems: a comprehensive literature review pp. 905-929

Behice Meltem Kayhan and Gokalp Yildiz

Artificial intelligence application in fault diagnostics of rotating industrial machines: a state-of-the-art review pp. 931-960

Vikas Singh, Purushottam Gangsar, Rajkumar Porwal and A. Atulkar

Maximum angle evolutionary selection for many-objective optimization algorithm with adaptive reference vector pp. 961-984

Zhijian Xiong, Jingming Yang, Zhiwei Zhao, Yongqiang Wang and Zhigang Yang

Application of artificial intelligence techniques in incremental forming: a state-of-the-art review pp. 985-1002

Aniket Nagargoje, Pavan Kumar Kankar, Prashant Kumar Jain and Puneet Tandon

Integrated approaches of BWM-QFD and FUCOM-QFD for improving weighting solution of design matrix pp. 1003-1020

Hamid Reza Fazeli and Qingjin Peng

Business networks of women entrepreneurs: an analysis of the expectation and reality of factors that affect trust in a business network pp. 1021-1036

Juliana Moletta, Gustavo Dambiski Gomes Carvalho, Revenli Fernanda Nascimento, Bertiene Maria Lack Barboza, Luis Mauricio Resende and Joseane Pontes

Analysis of link failures and recoveries on 6to4 tunneling network with different routing protocol pp. 1037-1063

Neha Jain, Ashish Payal and Aarti Jain

Energy-time tradeoffs for remanufacturing system scheduling using an invasive weed optimization algorithm pp. 1065-1083

Wenjie Wang, Guangdong Tian, Gang Yuan and Duc Truong Pham

Probabilistic predictive control of porosity in laser powder bed fusion pp. 1085-1103

Paromita Nath and Sankaran Mahadevan

A novel transfer learning framework for chatter detection using convolutional neural networks pp. 1105-1124

Hakki Ozgur Unver and Batihan Sener

Reference training system for intelligent manufacturing talent education: platform construction and curriculum development pp. 1125-1164

Shuting Wang, Jie Meng, Yuanlong Xie, Liquan Jiang, Han Ding and Xinyu Shao

Towards industry 4.0 in practice: a novel RFID-based intelligent system for monitoring and optimisation of production systems pp. 1165-1181

Diego Augusto Jesus Pacheco, Carlos Fernando Jung and Marcelo Cunha Azambuja

Machine learning aided design of conformal cooling channels for injection molding pp. 1183-1201

Zhenyang Gao, Guoying Dong, Yunlong Tang and Yaoyao Fiona Zhao

Fourth-party logistics network design with service time constraint under stochastic demand pp. 1203-1227

Mingqiang Yin, Min Huang, Xiaohu Qian, Dazhi Wang, Xingwei Wang and Loo Hay Lee

Method for fusion of neighborhood rough set and XGBoost in welding process decision-making pp. 1229-1240

Kainan Guan, Guang Yang, Liang Du, Zhengguang Li and Xinhua Yang

Data-driven models for predictions of geometric characteristics of bead fabricated by selective laser melting pp. 1241-1257

Thai Le-Hong, Pai Chen Lin, Jian-Zhong Chen, Thinh Duc Quy Pham and Xuan Tran

Real-time laser keyhole welding penetration state monitoring based on adaptive fusion images using convolutional neural networks pp. 1259-1273

Wang Cai, Ping Jiang, LeShi Shu, ShaoNing Geng and Qi Zhou

Autonomous VOs management based on industry 4.0: a systematic literature review pp. 1275-1291

Cindy-Pamela Lopez, Jose Aguilar and Marco Santorum

Recognizing defects in stainless steel welds based on multi-domain feature expression and self-optimization pp. 1293-1309

Rui Zhang, Na Zhao, Liuhu Fu, Xiaolu Bai and Jianghui Cai

Simulation and deep reinforcement learning for adaptive dispatching in semiconductor manufacturing systems pp. 1311-1324

Ahmed H. Sakr, Ayman Aboelhassan, Soumaya Yacout and Samuel Bassetto

A hybrid prognosis approach for life prediction of gears subjected to progressive pitting failure mode pp. 1325-1346

Pradeep Kundu, Makarand S.Kulkarni and Ashish K.Darpe

A context-aware recommendation system for improving manufacturing process modeling pp. 1347-1368

Jiaxing Wang, Sibin Gao, Zhejun Tang, Dapeng Tan, Bin Cao and Jing Fan

An ontology model for maintenance strategy selection and assessment pp. 1369-1387

Juan José Montero Jiménez, Rob Vingerhoeds, Bernard Grabot and Sébastien Schwartz

RFID systems optimisation through the use of a new RFID network planning algorithm to support the design of receiving gates pp. 1389-1407

Henriette Knapp and Giovanni Romagnoli

Texture surface defect detection of plastic relays with an enhanced feature pyramid network pp. 1409-1425

Feng Huang, Ben-wu Wang, Qi-peng Li and Jun Zou

Autoencoder-based anomaly detection of industrial robot arm using stethoscope based internal sound sensor pp. 1427-1444

Huitaek Yun, Hanjun Kim, Young Hun Jeong and Martin B. G. Jun

Reconfigurability improvement in Industry 4.0: a hybrid genetic algorithm-based heuristic approach for a co-generation of setup and process plans in a reconfigurable environment pp. 1445-1467

Muhammad Ameer and Mohammed Dahane

Welding monitoring and defect detection using probability density distribution and functional nonparametric kernel classifier pp. 1469-1481

Abdallah Amine Melakhsou and Mireille Batton-Hubert

Volume 34, issue 2, 2023

Challenges of modeling and analysis in cybermanufacturing: a review from a machine learning and computation perspective pp. 415-428

SungKu Kang, Ran Jin, Xinwei Deng and Ron Kenett

An assembly timing planning method based on knowledge and mixed integer linear programming pp. 429-453

Jiahui Qian, Zhijing Zhang, Lingling Shi and Dan Song

A data-driven method for performance analysis and improvement in production systems with quality inspection pp. 455-469

Jun-Qiang Wang, Yun-Lei Song, Peng-Hao Cui and Yang Li

Correction to: A data-driven method for performance analysis and improvement in production systems with quality inspection pp. 471-471

Jun-Qiang Wang, Yun-Lei Song, Peng-Hao Cui and Yang Li

A low-cost intelligent tracking system for clothing manufacturers pp. 473-491

Yen Sheng Tsai and Wei-Hsi Hung

Scheduling of a class of partial routing FMS in uncertain environments with beam search pp. 493-514

G. Cherif, E. Leclercq and D. Lefebvre

A novel parallel classification network for classifying three-dimensional surface with point cloud data pp. 515-527

Chen Zhao, Shichang Du, Jun Lv, Yafei Deng and Guilong Li

A variational autoencoder for a semiconductor fault detection model robust to process drift due to incomplete maintenance pp. 529-540

Youngju Kim, Hoyeop Lee and Chang Ouk Kim

Collaborative knowledge management to identify data analytics opportunities in additive manufacturing pp. 541-564

Hyunseop Park, Hyunwoong Ko, Yung-tsun Tina Lee, Shaw Feng, Paul Witherell and Hyunbo Cho

A data-driven method of selective disassembly planning at end-of-life under uncertainty pp. 565-585

Yicong Gao, Shanhe Lou, Hao Zheng and Jianrong Tan

Deep transfer learning based on dynamic domain adaptation for remaining useful life prediction under different working conditions pp. 587-613

Han Cheng, Xianguang Kong, Qibin Wang, Hongbo Ma, Shengkang Yang and Gaige Chen

Towards the efficient generation of variant design in product development networks: network nodes importance based product configuration evaluation approach pp. 615-631

Yuming Guo

An individualized system of skeletal data-based CNN classifiers for action recognition in manufacturing assembly pp. 633-649

Md. Al-Amin, Ruwen Qin, Md Moniruzzaman, Zhaozheng Yin, Wenjin Tao and Ming C. Leu

A data-driven workflow for evaporation performance degradation analysis: a full-scale case study in the herbal medicine manufacturing industry pp. 651-668

Sheng Zhang, Xinyuan Xie and Haibin Qu

A hybrid off-line/on-line quality control approach for real-time monitoring of high-density datasets pp. 669-682

Romina Dastoorian and Lee J. Wells

In-situ monitoring laser based directed energy deposition process with deep convolutional neural network pp. 683-693

Jiqian Mi, Yikai Zhang, Hui Li, Shengnan Shen, Yongqiang Yang, Changhui Song, Xin Zhou, Yucong Duan, Junwen Lu and Haibo Mai

Self learning-empowered thermal error control method of precision machine tools based on digital twin pp. 695-717

Chi Ma, Hongquan Gui and Jialan Liu

Predicting the quality of a machined workpiece with a variational autoencoder approach pp. 719-737

Antoine Proteau, Antoine Tahan, Ryad Zemouri and Marc Thomas

Voxel-based sensor placement for additive manufacturing applications pp. 739-751

Nuwan Munasinghe, Thomas Romeijn and Gavin Paul

Design and application of digital twin system for the blade-rotor test rig pp. 753-769

Jian-Guo Duan, Tian-Yu Ma, Qing-Lei Zhang, Zhen Liu and Ji-Yun Qin

Knowledge-driven framework for industrial robotic systems pp. 771-788

Timon Hoebert, Wilfried Lepuschitz, Markus Vincze and Munir Merdan

Adaptive obstacle avoidance in path planning of collaborative robots for dynamic manufacturing pp. 789-807

Yudie Hu, Yuqi Wang, Kaixiong Hu and Weidong Li

Part machining feature recognition based on a deep learning method pp. 809-821

Fangwei Ning, Yan Shi, Maolin Cai and Weiqing Xu

A hybrid evolutionary algorithm approach for estimating the throughput of short reliable approximately balanced production lines pp. 823-852

Konstantinos S. Boulas, Georgios D. Dounias and Chrissoleon T. Papadopoulos

In situ quality inspection with layer-wise visual images based on deep transfer learning during selective laser melting pp. 853-867

Jingchang Li, Qi Zhou, Xufeng Huang, Menglei Li and Longchao Cao

Automatic recognition of hot spray marking dot-matrix characters for steel-slab industry pp. 869-884

Junhui Ge, Licheng Liu, Junxi Sun, Hong Zhao, Langming Zhou, Tianle Cheng and Changyan Xiao

An approach for tool wear prediction using customized DenseNet and GRU integrated model based on multi-sensor feature fusion pp. 885-902

Xianli Liu, Bowen Zhang, Xuebing Li, Shaoyang Liu, Caixu Yue and Steven Y. Liang

Retraction Note: Visual sensor intelligent module based image transmission in industrial manufacturing for monitoring and manipulation problems pp. 903-903

Bilal S. A. Alhayani and Haci Llhan

Volume 34, issue 1, 2023

Smart retrofitting in maintenance: a systematic literature review pp. 1-19

David Sanchez-Londono, Giacomo Barbieri and Luca Fumagalli

Machine learning techniques in additive manufacturing: a state of the art review on design, processes and production control pp. 21-55

Sachin Kumar, T. Gopi, N. Harikeerthana, Munish Kumar Gupta, Vidit Gaur, Grzegorz M. Krolczyk and ChuanSong Wu

Data-driven dynamic causality analysis of industrial systems using interpretable machine learning and process mining pp. 57-83

Karim Nadim, Ahmed Ragab and Mohamed-Salah Ouali

Human factors in cobot era: a review of modern production systems features pp. 85-106

Maurizio Faccio, Irene Granata, Alberto Menini, Mattia Milanese, Chiara Rossato, Matteo Bottin, Riccardo Minto, Patrik Pluchino, Luciano Gamberini, Giovanni Boschetti and Giulio Rosati

From knowledge-based to big data analytic model: a novel IoT and machine learning based decision support system for predictive maintenance in Industry 4.0 pp. 107-121

Riccardo Rosati, Luca Romeo, Gianalberto Cecchini, Flavio Tonetto, Paolo Viti, Adriano Mancini and Emanuele Frontoni

Hybrid algorithm based on reinforcement learning for smart inventory management pp. 123-149

Carlos Cuartas and Jose Aguilar

Attention-based advantage actor-critic algorithm with prioritized experience replay for complex 2-D robotic motion planning pp. 151-180

Chengmin Zhou, Bingding Huang, Haseeb Hassan and Pasi Fränti

Recursive encoder network for the automatic analysis of STEP files pp. 181-196

Victoria Miles, Stefano Giani and Oliver Vogt

Instant flow distribution network optimization in liquid composite molding using deep reinforcement learning pp. 197-218

Martin Szarski and Sunita Chauhan

Optimisation-driven design to explore and exploit the process–structure–property–performance linkages in digital manufacturing pp. 219-241

Iñigo Flores Ituarte, Suraj Panicker, Hari P. N. Nagarajan, Eric Coatanea and David W. Rosen

GPyro: uncertainty-aware temperature predictions for additive manufacturing pp. 243-259

Iason Sideris, Francesco Crivelli and Markus Bambach

Polygon generation and video-to-video translation for time-series prediction pp. 261-279

Mohamed Elhefnawy, Ahmed Ragab and Mohamed-Salah Ouali

Utilizing additive manufacturing and mass customization under capacity constraints pp. 281-301

Rachel Lacroix, Anna Timonina-Farkas and Ralf W. Seifert

Automated 3D burr detection in cast manufacturing using sparse convolutional neural networks pp. 303-314

Ahmed Mohammed, Johannes Kvam, Ingrid Fjordheim Onstein, Marianne Bakken and Helene Schulerud

A deep learning framework for layer-wise porosity prediction in metal powder bed fusion using thermal signatures pp. 315-329

Yuwei Mao, Hui Lin, Christina Xuan Yu, Roger Frye, Darren Beckett, Kevin Anderson, Lars Jacquemetton, Fred Carter, Zhangyuan Gao, Wei-keng Liao, Alok N. Choudhary, Kornel Ehmann and Ankit Agrawal

Investigation and machine learning-based prediction of parametric effects of single point incremental forming on pillow effect and wall profile of AlMn1Mg1 aluminum alloy sheets pp. 331-367

Sherwan Mohammed Najm and Imre Paniti

Development of a surrogate model for high-fidelity laser powder-bed fusion using tensor train and gaussian process regression pp. 369-385

Umesh Kizhakkinan, Pham Luu Trung Duong, Robert Laskowski, Guglielmo Vastola, David W. Rosen and Nagarajan Raghavan

Stability modeling for chatter avoidance in self-aware machining: an application of physics-guided machine learning pp. 387-413

Noel P. Greis, Monica L. Nogueira, Sambit Bhattacharya, Catherine Spooner and Tony Schmitz