Journal of Intelligent Manufacturing

2009 - 2025

Current editor(s): Andrew Kusiak

From Springer
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Volume 31, issue 8, 2020

Real-time defect detection network for polarizer based on deep learning pp. 1813-1823

Ruizhen Liu, Zhiyi Sun, Anhong Wang, Kai Yang, Yin Wang and Qianlai Sun

Activation functions selection for BP neural network model of ground surface roughness pp. 1825-1836

Yuhang Pan, Yonghao Wang, Ping Zhou, Ying Yan and Dongming Guo

The architecture development of Industry 4.0 compliant smart machine tool system (SMTS) pp. 1837-1859

Byeongwoo Jeon, Joo-Sung Yoon, Jumyung Um and Suk-Hwan Suh

Wafer map defect pattern classification based on convolutional neural network features and error-correcting output codes pp. 1861-1875

Cheng Hao Jin, Hyun-Jin Kim, Yongjun Piao, Meijing Li and Minghao Piao

Swarm intelligence based centralized clustering: a novel solution pp. 1877-1888

Cosmena Mahapatra, Ashish Payal and Meenu Chopra

Analysis of production cycle-time distribution with a big-data approach pp. 1889-1897

Xu Tan, Lining Xing, Zhaoquan Cai and Gaige Wang

Unsupervised rotating machinery fault diagnosis method based on integrated SAE–DBN and a binary processor pp. 1899-1916

Jialin Li, Xueyi Li, David He and Yongzhi Qu

Towards an automated decision support system for the identification of additive manufacturing part candidates pp. 1917-1933

Sheng Yang, Thomas Page, Ying Zhang and Yaoyao Fiona Zhao

Nonlinear time-series modeling of feed drive system based on motion states classification pp. 1935-1948

Yakun Jiang, Jihong Chen, Huicheng Zhou, Jianzhong Yang and Guangda Xu

A research survey: heuristic approaches for solving multi objective flexible job shop problems pp. 1949-1983

Alper Türkyılmaz, Özlem Şenvar, İrem Ünal and Serol Bulkan

Pricing strategy and system performance in a cloud-based manufacturing system built on blockchain technology pp. 1985-2002

Xiaobao Zhu, Jing Shi, Fengjie Xie and Rouqi Song

Quality analysis in metal additive manufacturing with deep learning pp. 2003-2017

Xiang Li, Xiaodong Jia, Qibo Yang and Jay Lee

Various realization methods of machine-part classification based on deep learning pp. 2019-2032

Fangwei Ning, Yan Shi, Maolin Cai and Weiqing Xu

Two-sided matching decision-making model with hesitant fuzzy preference information for configuring cloud manufacturing tasks and resources pp. 2033-2047

Baodong Li, Yu Yang, Jiafu Su, Zhichao Liang and Sheng Wang

Design optimization by integrating limited simulation data and shape engineering knowledge with Bayesian optimization (BO-DK4DO) pp. 2049-2067

Jia Hao, Mengying Zhou, Guoxin Wang, Liangyue Jia and Yan Yan

Real-time task processing for spinning cyber-physical production systems based on edge computing pp. 2069-2087

Shiyong Yin, Jinsong Bao, Jie Zhang, Jie Li, Junliang Wang and Xiaodi Huang

Intelligent decision making for service and manufacturing industries pp. 2089-2090

Junwei Wang, Su Xiu Xu and Gangyan Xu

Volume 31, issue 7, 2020

Extreme science and engineering pp. 1607-1610

Andrew Kusiak

Data-driven prognostic method based on self-supervised learning approaches for fault detection pp. 1611-1619

Tian Wang, Meina Qiao, Mengyi Zhang, Yi Yang and Hichem Snoussi

Approach for fault prognosis using recurrent neural network pp. 1621-1633

Qianhui Wu, Keqin Ding and Biqing Huang

Optimizing human–robot task allocation using a simulation tool based on standardized work descriptions pp. 1635-1648

Timo Bänziger, Andreas Kunz and Konrad Wegener

Cloud manufacturing service QoS prediction based on neighbourhood enhanced matrix factorization pp. 1649-1660

Yu Feng and Biqing Huang

An effective approach for causal variables analysis in diesel engine production by using mutual information and network deconvolution pp. 1661-1671

Wei Qin, Dongye Zha and Jie Zhang

A scheduling optimization method for maintenance, repair and operations service resources of complex products pp. 1673-1691

Hao Li, Shanghua Mi, Qifeng Li, Xiaoyu Wen, Dongping Qiao and Guofu Luo

A data-driven method based on deep belief networks for backlash error prediction in machining centers pp. 1693-1705

Zhe Li, Yi Wang and Kesheng Wang

Hypernetwork-based manufacturing service scheduling for distributed and collaborative manufacturing operations towards smart manufacturing pp. 1707-1720

Ying Cheng, Luning Bi, Fei Tao and Ping Ji

Data-driven customer requirements discernment in the product lifecycle management via intuitionistic fuzzy sets and electroencephalogram pp. 1721-1736

Shanhe Lou, Yixiong Feng, Hao Zheng, Yicong Gao and Jianrong Tan

Blockchain-based business process management (BPM) framework for service composition in industry 4.0 pp. 1737-1748

Wattana Viriyasitavat, Li Xu, Zhuming Bi and Assadaporn Sapsomboon

Correction to: Blockchain-based business process management (BPM) framework for service composition in industry 4.0 pp. 1749-1749

Wattana Viriyasitavat, Li Da Xu, Zhuming Bi and Assadaporn Sapsomboon

A knowledge based intelligent process planning method for controller of computer numerical control machine tools pp. 1751-1767

Yingxin Ye, Tianliang Hu, Yan Yang, Wendan Zhu and Chengrui Zhang

A data-driven approach for predicting printability in metal additive manufacturing processes pp. 1769-1781

William Mycroft, Mordechai Katzman, Samuel Tammas-Williams, Everth Hernandez-Nava, George Panoutsos, Iain Todd and Visakan Kadirkamanathan

Transfer-robot task scheduling in flexible job shop pp. 1783-1793

Andy Ham

Adaptive self-learning mechanisms for updating short-term production decisions in an industrial mining complex pp. 1795-1811

Ashish Kumar, Roussos Dimitrakopoulos and Marco Maulen

Volume 31, issue 6, 2020

A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspectives pp. 1313-1337

Kendrik Lim, Pai Zheng and Chun-Hsien Chen

A failure mode and risk assessment method based on cloud model pp. 1339-1352

Xinlong Li, Yan Ran, Genbao Zhang and Yan He

Machine learning-based instantaneous cutting force model for end milling operation pp. 1353-1366

Shubham Vaishnav, Ankit Agarwal and K. A. Desai

Multi-agent systems negotiation to deal with dynamic scheduling in disturbed industrial context pp. 1367-1382

Tsegay Tesfay Mezgebe, Hind Bril El Haouzi, Guillaume Demesure, Remi Pannequin and Andre Thomas

A six-layer architecture for the digital twin: a manufacturing case study implementation pp. 1383-1402

A. J. H. Redelinghuys, A. H. Basson and K. Kruger

On the end-of-life state oriented multi-objective disassembly line balancing problem pp. 1403-1428

Lixia Zhu, Zeqiang Zhang, Yi Wang and Ning Cai

Assembly consistency improvement of straightness error of the linear axis based on the consistency degree and GA-MSVM-I-KM pp. 1429-1441

Yang Hui, Xuesong Mei, Gedong Jiang, Fei Zhao and Pengcheng Shen

A memetic algorithm for multi-objective distributed production scheduling: minimizing the makespan and total energy consumption pp. 1443-1466

Guiliang Gong, Raymond Chiong, Qianwang Deng and Qiang Luo

Imbalanced fault diagnosis of rotating machinery via multi-domain feature extraction and cost-sensitive learning pp. 1467-1481

Qifa Xu, Shixiang Lu, Weiyin Jia and Cuixia Jiang

Production scheduling problem in a factory of automobile component primer painting pp. 1483-1496

Ivan Kristianto Singgih, Onyu Yu, Byung-In Kim, Jeongin Koo and Seungdoe Lee

A hybrid information model based on long short-term memory network for tool condition monitoring pp. 1497-1510

Weili Cai, Wenjuan Zhang, Xiaofeng Hu and Yingchao Liu

An adversarial bidirectional serial–parallel LSTM-based QTD framework for product quality prediction pp. 1511-1529

Zhenyu Liu, Donghao Zhang, Weiqiang Jia, Xianke Lin and Hui Liu

Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0 pp. 1531-1558

Juan Pablo Usuga Cadavid, Samir Lamouri, Bernard Grabot, Robert Pellerin and Arnaud Fortin

Knowledge recommendation for product development using integrated rough set-information entropy correction pp. 1559-1578

Zhenyong Wu, Lina He, Yuan Wang, Mark Goh and Xinguo Ming

A knowledge-based system for quality analysis in model-based design pp. 1579-1606

Wei Yang, Chaofan Fu, Xiaoguang Yan and Zhuoning Chen

Volume 31, issue 5, 2020

Hybrid constrained permutation algorithm and genetic algorithm for process planning problem pp. 1079-1099

Abdullah Falih and Ahmed Z. M. Shammari

Supervised feature learning by adversarial autoencoder approach for object classification in dual X-ray image of luggage pp. 1101-1112

Mohamed Chouai, Mostefa Merah, José-Luis Sancho-Gómez and Malika Mimi

Real-time machining data application and service based on IMT digital twin pp. 1113-1132

Xin Tong, Qiang Liu, Shiwei Pi and Yao Xiao

Multi-bead overlapping model with varying cross-section profile for robotic GMAW-based additive manufacturing pp. 1133-1147

Zeqi Hu, Xunpeng Qin, Yifeng Li, Jiuxin Yuan and Qiang Wu

Formal modeling of cyber-physical resource scheduling in IIoT cloud environments pp. 1149-1164

Shashi Bhushan Jha, Radu F. Babiceanu and Remzi Seker

Effective automatic defect classification process based on CNN with stacking ensemble model for TFT-LCD panel pp. 1165-1174

Myeongso Kim, Minyoung Lee, Minjeong An and Hongchul Lee

Monitoring of a machining process using kernel principal component analysis and kernel density estimation pp. 1175-1189

Wo Jae Lee, Gamini P. Mendis, Matthew J. Triebe and John W. Sutherland

Towards defect monitoring for metallic additive manufacturing components using phased array ultrasonic testing pp. 1191-1201

A. Chabot, N. Laroche, E. Carcreff, M. Rauch and J.-Y. Hascoët

Control of weld penetration depth using relative fluctuation coefficient as feedback pp. 1203-1213

Shuangyang Zou, Zhijiang Wang, Shengsun Hu, Wandong Wang and Yue Cao

Image synthesis in contrast MRI based on super resolution reconstruction with multi-refinement cycle-consistent generative adversarial networks pp. 1215-1228

Kun Wu, Yan Qiang, Kai Song, Xueting Ren, WenKai Yang, Wanjun Zhang, Akbar Hussain and Yanfen Cui

Identification and classification of materials using machine vision and machine learning in the context of industry 4.0 pp. 1229-1241

Durga Prasad Penumuru, Sreekumar Muthuswamy and Premkumar Karumbu

Timely chatter identification for robotic drilling using a local maximum synchrosqueezing-based method pp. 1243-1255

Jianfeng Tao, Chengjin Qin, Dengyu Xiao, Haotian Shi, Xiao Ling, Bingchu Li and Chengliang Liu

An intelligent decision support system for production planning based on machine learning pp. 1257-1273

Germán González Rodríguez, Jose M. Gonzalez-Cava and Juan Albino Méndez Pérez

Support vector machines based non-contact fault diagnosis system for bearings pp. 1275-1289

Deepam Goyal, Anurag Choudhary, B. S. Pabla and S. S. Dhami

A novel learning-based feature recognition method using multiple sectional view representation pp. 1291-1309

Peizhi Shi, Qunfen Qi, Yuchu Qin, Paul J. Scott and Xiangqian Jiang

Retraction Note to: Potential of soft computing approach for evaluating the factors affecting the capacity of steel–concrete composite beam pp. 1311-1311

Ali Toghroli, Meldi Suhatril, Zainah Ibrahim, Maryam Safa, Mahdi Shariati and Shahaboddin Shamshirband

Volume 31, issue 4, 2020

Real-time monitoring of high-power disk laser welding statuses based on deep learning framework pp. 799-814

Yanxi Zhang, Deyong You, Xiangdong Gao, Congyi Wang, Yangjin Li and Perry P. Gao

Artificial intelligence planners for multi-head path planning of SwarmItFIX agents pp. 815-832

Satheeshkumar Veeramani, Sreekumar Muthuswamy, Keerthi Sagar and Matteo Zoppi

A data-driven decision-making optimization approach for inconsistent lithium-ion cell screening pp. 833-845

Chengbao Liu, Jie Tan and Xuelei Wang

Injection molding manufacturing process: review of case-based reasoning applications pp. 847-864

Mohammad Reza Khosravani and Sara Nasiri

Machine learning technique for data-driven fault detection of nonlinear processes pp. 865-884

Maroua Said, Khaoula ben Abdellafou and Okba Taouali

Image-based defect detection in lithium-ion battery electrode using convolutional neural networks pp. 885-897

Olatomiwa Badmos, Andreas Kopp, Timo Bernthaler and Gerhard Schneider

A zero-shot learning method for fault diagnosis under unknown working loads pp. 899-909

Yiping Gao, Liang Gao, Xinyu Li and Yuwei Zheng

Non-dominated sorting modified teaching–learning-based optimization for multi-objective machining of polytetrafluoroethylene (PTFE) pp. 911-935

Elango Natarajan, Varadaraju Kaviarasan, Wei Hong Lim, Sew Sun Tiang, S. Parasuraman and Sangeetha Elango

Intelligent pulse analysis of high-speed electrical discharge machining using different RNNs pp. 937-951

Xuexin Zhang, Yonghong Liu, Xinlei Wu and Zhenwei Niu

Tool wear predicting based on multi-domain feature fusion by deep convolutional neural network in milling operations pp. 953-966

Zhiwen Huang, Jianmin Zhu, Jingtao Lei, Xiaoru Li and Fengqing Tian

An effective and automatic approach for parameters optimization of complex end milling process based on virtual machining pp. 967-984

Hengyuan Ma, Wei Liu, Xionghui Zhou, Qiang Niu and Chuipin Kong

Mixed-layer adaptive slicing for robotic Additive Manufacturing (AM) based on decomposing and regrouping pp. 985-1002

Donghua Zhao and Weizhong Guo

Shop floor data-driven spatial–temporal verification for manual assembly planning pp. 1003-1018

Wei Fang and Lianyu Zheng

On mining frequent chronicles for machine failure prediction pp. 1019-1035

Chayma Sellami, Carlos Miranda, Ahmed Samet, Mohamed Anis Bach Tobji and François de Beuvron

Conductive particle detection via deep learning for ACF bonding in TFT-LCD manufacturing pp. 1037-1049

Eryun Liu, Kangping Chen, Zhiyu Xiang and Jun Zhang

Time/sequence-dependent scheduling: the design and evaluation of a general purpose tabu-based adaptive large neighbourhood search algorithm pp. 1051-1078

Lei He, Mathijs Weerdt and Neil Yorke-Smith

Volume 31, issue 3, 2020

Data-informed inverse design by product usage information: a review, framework and outlook pp. 529-552

Liang Hou and Roger J. Jiao

Support vector regression to correct motor current of machine tool drives pp. 553-560

Max Schwenzer, Thomas Auerbach, Kazumasa Miura, Benjamin Döbbeler and Thomas Bergs

On-line part deformation prediction based on deep learning pp. 561-574

Zhiwei Zhao, Yingguang Li, Changqing Liu and James Gao

A study on the prediction of inherent deformation in fillet-welded joint using support vector machine and genetic optimization algorithm pp. 575-596

Liang Tian and Yu Luo

Integrating customer requirements into customized product configuration design based on Kano’s model pp. 597-613

Shuangyao Zhao, Qiang Zhang, Zhanglin Peng and Yu Fan

A methodology for solving facility layout problem considering barriers: genetic algorithm coupled with A* search pp. 615-640

Mariem Besbes, Marc Zolghadri, Roberta Costa Affonso, Faouzi Masmoudi and Mohamed Haddar

Genetic algorithms applied to integration and optimization of billing and picking processes pp. 641-659

Anderson Rogério Faia Pinto and Marcelo Seido Nagano

A modular factory testbed for the rapid reconfiguration of manufacturing systems pp. 661-680

D.-Y. Kim, J.-W. Park, S. Baek, K.-B. Park, H.-R. Kim, J.-I. Park, H.-S. Kim, B.-B. Kim, H.-Y. Oh, K. Namgung and W. Baek

SDF-GA: a service domain feature-oriented approach for manufacturing cloud service composition pp. 681-702

Tianyang Li, Ting He, Zhongjie Wang and Yufeng Zhang

Control chart pattern recognition using the convolutional neural network pp. 703-716

Tao Zan, Zhihao Liu, Hui Wang, Min Wang and Xiangsheng Gao

Research on adaptive CNC machining arithmetic and process for near-net-shaped jet engine blade pp. 717-744

Dongbo Wu, Hui Wang, Kaiyao Zhang, Bing Zhao and Xiaojun Lin

Optimization of preventive maintenance for series manufacturing system by differential evolution algorithm pp. 745-757

Xiaofeng Wang, Shu Guo, Jian Shen and Yang Liu

Segmentation-based deep-learning approach for surface-defect detection pp. 759-776

Domen Tabernik, Samo Šela, Jure Skvarč and Danijel Skočaj

Multi-source transfer learning of time series in cyclical manufacturing pp. 777-787

Werner Zellinger, Thomas Grubinger, Michael Zwick, Edwin Lughofer, Holger Schöner, Thomas Natschläger and Susanne Saminger-Platz

A convolutional approach to quality monitoring for laser manufacturing pp. 789-795

Carlos Gonzalez-Val, Adrian Pallas, Veronica Panadeiro and Alvaro Rodriguez

Retraction Note to: Estimation of contact forces of underactuated robotic finger using soft computing methods pp. 797-797

Srđan Jović, Nebojša Arsić, Ljubomir M. Marić and Dalibor Petković

Volume 31, issue 2, 2020

Resilient manufacturing pp. 269-269

Andrew Kusiak

QFD and Fuzzy Kano model based approach for classification of aesthetic attributes of SUV car profile pp. 271-284

Shwetank Avikal, Rohit Singh and Rashmi Rashmi

Condition monitoring and prediction of solution quality during a copper electroplating process pp. 285-300

Gerardo Emanuel Granados, Loïc Lacroix and Kamal Medjaher

Ontology-based module selection in the design of reconfigurable machine tools pp. 301-317

Zhenjun Ming, Cong Zeng, Guoxin Wang, Jia Hao and Yan Yan

Joint modeling of classification and regression for improving faulty wafer detection in semiconductor manufacturing pp. 319-326

Seokho Kang

Fused magnesia manufacturing process: a survey pp. 327-350

Jie Yang, Shaowen Lu and Liangyong Wang

Joint optimization of capacity, production and maintenance planning of leased machines pp. 351-374

Zied Hajej, Nidhal Rezg and Tarek Askri

A deep neural network for classification of melt-pool images in metal additive manufacturing pp. 375-386

Ohyung Kwon, Hyung Giun Kim, Min Ji Ham, Wonrae Kim, Gun-Hee Kim, Jae-Hyung Cho, Nam Il Kim and Kangil Kim

Adapting Thurstone’s Law of Comparative Judgment to fuse preference orderings in manufacturing applications pp. 387-402

F. Franceschini and D. Maisano

Failure time prediction using adaptive logical analysis of survival curves and multiple machining signals pp. 403-415

Ahmed Elsheikh, Soumaya Yacout, Mohamed-Salah Ouali and Yasser Shaban

Adaptive job shop scheduling strategy based on weighted Q-learning algorithm pp. 417-432

Yu-Fang Wang

Intelligent rotating machinery fault diagnosis based on deep learning using data augmentation pp. 433-452

Xiang Li, Wei Zhang, Qian Ding and Jian-Qiao Sun

Solar cell surface defect inspection based on multispectral convolutional neural network pp. 453-468

Haiyong Chen, Yue Pang, Qidi Hu and Kun Liu

A mechanism for scheduling multi robot intelligent warehouse system face with dynamic demand pp. 469-480

Zhi Li, Ali Vatankhah Barenji, Jiazhi Jiang, Ray Y. Zhong and Gangyan Xu

Optimization of cutting conditions using an evolutive online procedure pp. 481-499

Antonio Del Prete, Rodolfo Franchi, Stefania Cacace and Quirico Semeraro

A model for assessment of the impact of configuration changes in complex products pp. 501-527

Yu-jie Zheng, Yu Yang and Na Zhang

Volume 31, issue 1, 2020

Service manufacturing = Process-as-a-Service + Manufacturing Operations-as-a-Service pp. 1-2

Andrew Kusiak

A data-driven cyber-physical approach for personalised smart, connected product co-development in a cloud-based environment pp. 3-18

Pai Zheng, Xun Xu and Chun-Hsien Chen

Multi-objective optimization of an engine mount design by means of memetic genetic programming and a local exploration approach pp. 19-32

Alejandro Alvarado-Iniesta, Luis Gonzalo Guillen-Anaya, Luis Alberto Rodríguez-Picón and Raul Ñeco-Caberta

A multi-objective hybrid evolutionary approach for buffer allocation in open serial production lines pp. 33-51

Simge Yelkenci Kose and Ozcan Kilincci

Establishment of maintenance inspection intervals: an application of process mining techniques in manufacturing pp. 53-72

Edson Ruschel, Eduardo Alves Portela Santos and Eduardo de Freitas Rocha Loures

Recurrent feature-incorporated convolutional neural network for virtual metrology of the chemical mechanical planarization process pp. 73-86

Ki Bum Lee and Chang Ouk Kim

An approach to design reconfigurable manufacturing tools to manage product variability: the mass customisation of eyewear pp. 87-102

Aurelio Montalto, Serena Graziosi, Monica Bordegoni, Luca Di Landro and Michael Johannes Leonardus Tooren

A flexible machine vision system for small part inspection based on a hybrid SVM/ANN approach pp. 103-125

Keyur D. Joshi, Vedang Chauhan and Brian Surgenor

Literature review of Industry 4.0 and related technologies pp. 127-182

Ercan Oztemel and Samet Gursev

Smart recovery decision-making of used industrial equipment for sustainable manufacturing: belt lifter case study pp. 183-197

Kai Meng, Xiaoming Qian, Peihuang Lou and Jiong Zhang

An application to Stereolithography of a feature recognition algorithm for manufacturability evaluation pp. 199-214

Giampaolo Campana and Mattia Mele

Point-by-point prediction of cutting force in 3-axis CNC milling machines through voxel framework in digital manufacturing pp. 215-226

Omid Yousefian, Andrey Balabokhin and Joshua Tarbutton

Intelligent approach for process modelling and optimization on electrical discharge machining of polycrystalline diamond pp. 227-247

Pauline Ong, Chon Haow Chong, Mohammad Zulafif Rahim, Woon Kiow Lee, Chee Kiong Sia and Muhammad Ariff Haikal Ahmad

A data-driven approach for constructing the component-failure mode matrix for FMEA pp. 249-265

Zhaoguang Xu, Yanzhong Dang, Peter Munro and Yuhang Wang

Retraction Note to: Analysis of influential factors for predicting the shear strength of a V-shaped angle shear connector in composite beams using an adaptive neuro-fuzzy technique pp. 267-267

I. Mansouri, M. Shariati, M. Safa, Z. Ibrahim, M. M. Tahir and D. Petković