Journal of Intelligent Manufacturing

2009 - 2025

Current editor(s): Andrew Kusiak

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Volume 32, issue 8, 2021

Mitigating congestion in wireless sensor networks through clustering and queue assistance: a survey pp. 2083-2098

Saneh Lata Yadav and R. L. Ujjwal

Review of image segmentation techniques for layup defect detection in the Automated Fiber Placement process pp. 2099-2119

Sebastian Meister, Mahdieu A. M. Wermes, Jan Stüve and Roger M. Groves

A note to: A multiple-rule based constructive randomized search algorithm for solving assembly line worker assignment and balancing problem pp. 2121-2124

Adalberto Sato Michels and Alysson M. Costa

Prediction and optimization of performance measures in electrical discharge machining using rapid prototyping tool electrodes pp. 2125-2145

Anshuman Kumar Sahu and Siba Sankar Mahapatra

Acquiring reusable skills in intrinsically motivated reinforcement learning pp. 2147-2168

Marzieh Davoodabadi Farahani and Nasser Mozayani

Multitask learning for health condition identification and remaining useful life prediction: deep convolutional neural network approach pp. 2169-2179

Tae San Kim and So Young Sohn

Statistical process monitoring in a specified period for the image data of fused deposition modeling parts with consistent layers pp. 2181-2196

Tingting Huang, Shanggang Wang, Shunkun Yang and Wei Dai

DyS-IENN: a novel multiclass imbalanced learning method for early warning of tardiness in rocket final assembly process pp. 2197-2207

Zilong Zhuang, Liangxun Guo, Zizhao Huang, Yanning Sun, Wei Qin and Zhao-Hui Sun

Control of deposition height in WAAM using visual inspection of previous and current layers pp. 2209-2217

Jun Xiong, Yiyang Zhang and Yupeng Pi

Multi-objective optimization of the resistance spot welding process using a hybrid approach pp. 2219-2234

Dawei Zhao, Mikhail Ivanov, Yuanxun Wang, Dongjie Liang and Wenhao Du

Fuzzy traceability: using domain knowledge information to estimate the followed route of process instances in non-exhaustive monitoring environments pp. 2235-2255

Mateo Ramos-Merino, Juan M. Santos-Gago and Luis M. Álvarez-Sabucedo

An integrated inbound logistics mode with intelligent scheduling of milk-run collection, drop and pull delivery and LNG vehicles pp. 2257-2265

Jianling Chen, Kun Wang and Yihai Huang

A run-to-run controller for a chemical mechanical planarization process using least squares generative adversarial networks pp. 2267-2280

Sinyoung Kim, Jaeyeon Jang and Chang Ouk Kim

On the role of complexity in machining time estimation pp. 2281-2299

Antonio Armillotta

Real-time edge framework (RTEF): task scheduling and realisation pp. 2301-2317

Volkan Gezer and Achim Wagner

Quality 4.0: a review of big data challenges in manufacturing pp. 2319-2334

Carlos A. Escobar, Megan E. McGovern and Ruben Morales-Menendez

Modular production control using deep reinforcement learning: proximal policy optimization pp. 2335-2351

Sebastian Mayer, Tobias Classen and Christian Endisch

Machine learning to determine the main factors affecting creep rates in laser powder bed fusion pp. 2353-2373

Salomé Sanchez, Divish Rengasamy, Christopher J. Hyde, Grazziela P. Figueredo and Benjamin Rothwell

Correction to: Quality 4.0: a review of big data challenges in manufacturing pp. 2375-2375

Carlos A. Escobar, Megan E. McGovern and Ruben Morales-Menendez

Volume 32, issue 7, 2021

Editorial: intelligent manufacturing systems towards industry 4.0 era pp. 1793-1796

Ahmad Barari, Marcos Sales Guerra Tsuzuki, Yuval Cohen and Marco Macchi

Industry 4.0: contributions of holonic manufacturing control architectures and future challenges pp. 1797-1818

William Derigent, Olivier Cardin and Damien Trentesaux

Welding quality evaluation of resistance spot welding based on a hybrid approach pp. 1819-1832

Dawei Zhao, Mikhail Ivanov, Yuanxun Wang and Wenhao Du

A steel surface defect inspection approach towards smart industrial monitoring pp. 1833-1843

Ruiyang Hao, Bingyu Lu, Ying Cheng, Xiu Li and Biqing Huang

A weighted fuzzy C-means clustering method with density peak for anomaly detection in IoT-enabled manufacturing process pp. 1845-1861

Shaohua Huang, Yu Guo, Nengjun Yang, Shanshan Zha, Daoyuan Liu and Weiguang Fang

A digital twins concept model for integrated maintenance: a case study for crane operation pp. 1863-1881

Janusz Szpytko and Yorlandys Salgado Duarte

Tolerance analysis based on Monte Carlo simulation: a case of an automotive water pump design optimization pp. 1883-1897

Eduardo Umaras, Ahmad Barari and Marcos Sales Guerra Tsuzuki

A digital twin emulator of a modular production system using a data-driven hybrid modeling and simulation approach pp. 1899-1911

Konstantinos Mykoniatis and Gregory A. Harris

Regenerative scheduling problem in engineer to order manufacturing: an economic assessment pp. 1913-1925

R. Micale, C. M. La Fata, M. Enea and G. La Scalia

Improving surface quality in selective laser melting based tool making pp. 1927-1938

Filippo Simoni, Andrea Huxol and Franz-Josef Villmer

A thermo-mechanical machining method for improving the accuracy and stability of the geometric shape of long low-rigidity shafts pp. 1939-1951

Antoni Świć, Arkadiusz Gola, Łukasz Sobaszek and Natalia Šmidová

Maintenance optimization for a multi-unit system with digital twin simulation pp. 1953-1973

Jyrki Savolainen and Michele Urbani

A smart process controller framework for Industry 4.0 settings pp. 1975-1995

Yuval Cohen and Gonen Singer

Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit pp. 1997-2006

Yu Mo, Qianhui Wu, Xiu Li and Biqing Huang

An adaptive fault detection and root-cause analysis scheme for complex industrial processes using moving window KPCA and information geometric causal inference pp. 2007-2021

Yanning Sun, Wei Qin, Zilong Zhuang and Hongwei Xu

Automation platform independent multi-agent system for robust networks of production resources in industry 4.0 pp. 2023-2041

Matthias Seitz, Felix Gehlhoff, Luis Alberto Cruz Salazar, Alexander Fay and Birgit Vogel-Heuser

Energy inefficiency diagnosis in industrial process through one-class machine learning techniques pp. 2043-2060

Mohamed El Koujok, Hakim Ghezzaz and Mouloud Amazouz

A control architecture for continuous production processes based on industry 4.0: water supply systems application pp. 2061-2081

Edgar Chacón, Luis Alberto Cruz Salazar, Juan Cardillo and Yenny Alexandra Paredes Astudillo

Volume 32, issue 6, 2021

A new Fuzzy C-Means and AHP-based three-phased approach for multiple criteria ABC inventory classification pp. 1517-1528

Fatih Yiğit and Şakir Esnaf

A comparison of combat genetic and big bang–big crunch algorithms for solving the buffer allocation problem pp. 1529-1546

Mehmet Ulaş Koyuncuoğlu and Leyla Demir

An integrated SMED-fuzzy FMEA model for reducing setup time pp. 1547-1561

Kübra Yazıcı, Seda Hatice Gökler and Semra Boran

Control of chaotic two-predator one-prey model with single state control signals pp. 1563-1572

Uğur Erkin Kocamaz, Alper Göksu, Harun Taşkın and Yılmaz Uyaroğlu

Linguistic summarization to support supply network decisions pp. 1573-1586

Sena Aydoğan, Gül E. Okudan Kremer and Diyar Akay

Demand forecasting application with regression and artificial intelligence methods in a construction machinery company pp. 1587-1604

Adnan Aktepe, Emre Yanık and Süleyman Ersöz

Indirect tool monitoring in drilling based on gap sensor signal and multilayer perceptron feed forward neural network pp. 1605-1619

Siti Nurfadilah Binti Jaini, Deug-Woo Lee, Seung-Jun Lee, Mi-Ru Kim and Gil-Ho Son

Designing energy-efficient high-precision multi-pass turning processes via robust optimization and artificial intelligence pp. 1621-1647

Soheyl Khalilpourazari, Saman Khalilpourazary, Aybike Özyüksel Çiftçioğlu and Gerhard-Wilhelm Weber

Multi-product scheduling through process mining: bridging optimization and machine process intelligence pp. 1649-1667

Alexandre Checoli Choueiri and Eduardo Alves Portela Santos

Temporal anomaly detection on IIoT-enabled manufacturing pp. 1669-1678

Peng Zhan, Shaokun Wang, Jun Wang, Leigang Qu, Kun Wang, Yupeng Hu and Xueqing Li

Digitalization priorities of quality control processes for SMEs: a conceptual study in perspective of Industry 4.0 adoption pp. 1679-1698

Gautam Dutta, Ravinder Kumar, Rahul Sindhwani and Rajesh Kr. Singh

Technological troubleshooting based on sentence embedding with deep transformers pp. 1699-1710

Antonio L. Alfeo, Mario G. C. A. Cimino and Gigliola Vaglini

Bound smoothing based time series anomaly detection using multiple similarity measures pp. 1711-1727

Wenqing Wang, Junpeng Bao and Tao Li

Evaluation on regional science and technology resources allocation in China based on the zero sum gains data envelopment analysis pp. 1729-1737

Tingting Liu, Zichen Zheng and Yuneng Du

Machine learning algorithms for the prediction of non-metallic inclusions in steel wires for tire reinforcement pp. 1739-1751

Miguel Cuartas, Estela Ruiz, Diego Ferreño, Jesús Setién, Valentín Arroyo and Federico Gutiérrez-Solana

Predicting tool wear size across multi-cutting conditions using advanced machine learning techniques pp. 1753-1766

Yan Shen, Feng Yang, Mohamed Salahuddin Habibullah, Jhinaoui Ahmed, Ankit Kumar Das, Yu Zhou and Choon Lim Ho

Synthetic image data augmentation for fibre layup inspection processes: Techniques to enhance the data set pp. 1767-1789

Sebastian Meister, Nantwin Möller, Jan Stüve and Roger M. Groves

Correction to: Bound smoothing based time series anomaly detection using multiple similarity measures pp. 1791-1791

Wenqing Wang, Junpeng Bao and Tao Li

Volume 32, issue 5, 2021

Recommender systems as an agility enabler in supply chain management pp. 1229-1248

Camélia Dadouchi and Bruno Agard

An active safety control method of collision avoidance for intelligent connected vehicle based on driving risk perception pp. 1249-1269

Chuan Sun, Sifa Zheng, Yulin Ma, Duanfeng Chu, Junru Yang, Yuncheng Zhou, Yicheng Li and Tingxuan Xu

A novel normalized recurrent neural network for fault diagnosis with noisy labels pp. 1271-1288

Xiaoyin Nie and Gang Xie

Online monitoring and control of a cyber-physical manufacturing process under uncertainty pp. 1289-1304

Saideep Nannapaneni, Sankaran Mahadevan, Abhishek Dubey and Yung-Tsun Tina Lee

Wheel hub customization with an interactive artificial immune algorithm pp. 1305-1322

Jing Liu, Qiqi Zhi, Haipeng Ji, Bolong Li and Siyuan Lei

A flexible alarm prediction system for smart manufacturing scenarios following a forecaster–analyzer approach pp. 1323-1344

Kevin Villalobos, Johan Suykens and Arantza Illarramendi

Error analysis based on error transfer theory and compensation strategy for LED chip visual localization systems pp. 1345-1359

Diyi Zhou, Shihua Gong, Ziyue Wang, Delong Li and Huaiqing Lu

Optimization in solving inventory control problem using nature inspired Emperor Penguins Colony algorithm pp. 1361-1375

Sasan Harifi, Madjid Khalilian, Javad Mohammadzadeh and Sadoullah Ebrahimnejad

Prediction of laser cutting parameters for polymethylmethacrylate sheets using random vector functional link network integrated with equilibrium optimizer pp. 1377-1388

Ammar H. Elsheikh, Taher A. Shehabeldeen, Jianxin Zhou, Ezzat Showaib and Mohamed Abd Elaziz

A hybrid method of blockchain and case-based reasoning for remanufacturing process planning pp. 1389-1399

Shengqiang Li, Hua Zhang, Wei Yan and Zhigang Jiang

Macroscopic numerical model of reinforced concrete shear walls based on material properties pp. 1401-1410

Wurong Fu

Study of the hinge thickness deviation for a 316L parallelogram flexure mechanism fabricated via selective laser melting pp. 1411-1420

Huaxian Wei, Bijan Shirinzadeh, Xiaodong Niu, Jian Zhang, Wei Li and Alessandro Simeone

RUL prediction for automatic machines: a mixed edge-cloud solution based on model-of-signals and particle filtering techniques pp. 1421-1440

Matteo Barbieri, Khan T. P. Nguyen, Roberto Diversi, Kamal Medjaher and Andrea Tilli

The optimization of the control logic of a redundant six axis milling machine pp. 1441-1453

Antonio Caputi and Davide Russo

Multi-robot multi-operator collaborative assembly systems: a performance evaluation model pp. 1455-1470

Giovanni Boschetti, Matteo Bottin, Maurizio Faccio and Riccardo Minto

Machine learning for multi-dimensional optimisation and predictive visualisation of laser machining pp. 1471-1483

Michael D. T. McDonnell, Daniel Arnaldo, Etienne Pelletier, James A. Grant-Jacob, Matthew Praeger, Dimitris Karnakis, Robert W. Eason and Ben Mills

In-situ identification of material batches using machine learning for machining operations pp. 1485-1495

Benjamin Lutz, Dominik Kisskalt, Andreas Mayr, Daniel Regulin, Matteo Pantano and Jörg Franke

Fuzzy set theory driven maintenance sustainability performance assessment model: a multiple criteria approach pp. 1497-1515

Małgorzata Jasiulewicz-Kaczmarek, Patryk Żywica and Arkadiusz Gola

Volume 32, issue 4, 2021

Sequential graph-based routing algorithm for electrical harnesses, tubes, and hoses in a commercial vehicle pp. 917-933

Saekyeol Kim, Taehyeok Choi, Shinyu Kim, Taejoon Kwon, Tae Hee Lee and Kwangrae Lee

Investigating the effect of value stream mapping on procurement effectiveness: a case study pp. 935-946

Shuwei Jing, Kaixuan Hou, Junai Yan, Zih-Ping Ho and Lu Han

Milling force prediction model based on transfer learning and neural network pp. 947-956

Juncheng Wang, Bin Zou, Mingfang Liu, Yishang Li, Hongjian Ding and Kai Xue

Hybrid genetic algorithm based on bin packing strategy for the unrelated parallel workgroup scheduling problem pp. 957-969

Bentao Su, Naiming Xie and Yingjie Yang

Bearing fault diagnosis base on multi-scale CNN and LSTM model pp. 971-987

Xiaohan Chen, Beike Zhang and Dong Gao

Cost-oriented robotic assembly line balancing problem with setup times: multi-objective algorithms pp. 989-1007

Zixiang Li, Mukund Nilakantan Janardhanan and S. G. Ponnambalam

Deep convolutional neural network aided optimization for cold spray 3D simulation based on molecular dynamics pp. 1009-1023

Zhenxing Cheng, Hu Wang and Gui-Rong Liu

Computer aided manufacturing method for surface silicon steel inspection based on an efficient anisotropic diffusion algorithm pp. 1025-1041

Mohamed Ben Gharsallah and Ezzedine Ben Braiek

Formal modelling of a sheet metal smart manufacturing system by using Petri nets and first-order predicate logic pp. 1043-1063

Juan Lu, Chengyi Ou, Chen Liao, Zhenkun Zhang, Kai Chen and Xiaoping Liao

3D facility layout problem pp. 1065-1090

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

A credit-based dynamical evaluation method for the smart configuration of manufacturing services under Industrial Internet of Things pp. 1091-1115

Wang Shijie and Zhang Yingfeng

RETRACTED ARTICLE: Economic IoT strategy: the future technology for health monitoring and diagnostic of agriculture vehicles pp. 1117-1128

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

Skill transfer support model based on deep learning pp. 1129-1146

Kung-Jeng Wang, Diwanda Ageng Rizqi and Hong-Phuc Nguyen

A multi-task and multi-scale convolutional neural network for automatic recognition of woven fabric pattern pp. 1147-1161

Shuo Meng, Ruru Pan, Weidong Gao, Jian Zhou, Jingan Wang and Wentao He

Automatic solar cell diagnosis and treatment pp. 1163-1172

Alvaro Rodriguez, Carlos Gonzalez, Andres Fernandez, Francisco Rodriguez, Tamara Delgado and Martin Bellman

A multilayer shallow learning approach to variation prediction and variation source identification in multistage machining processes pp. 1173-1187

Filmon Yacob and Daniel Semere

Heuristic techniques for modelling machine spinning processes pp. 1189-1206

Roman Stryczek and Kamil Wyrobek

Field-synchronized Digital Twin framework for production scheduling with uncertainty pp. 1207-1228

Elisa Negri, Vibhor Pandhare, Laura Cattaneo, Jaskaran Singh, Marco Macchi and Jay Lee

Volume 32, issue 3, 2021

Role of trochoidal machining process parameter and chip morphology studies during end milling of AISI D3 steel pp. 649-665

J. Santhakumar and U. Mohammed Iqbal

An experimental study of modified physical performance test of low-temperature epoxy grouting material for grouting joints with tenon and mortise pp. 667-677

Huifeng Su, Renzhuang Li and Ming Yang

A post-quantum secure communication system for cloud manufacturing safety pp. 679-688

Haibo Yi

A self-organized approach for scheduling semiconductor manufacturing systems pp. 689-706

Qingyun Yu, Haolin Yang, Kuo-Yi Lin and Li Li

An effective approach for the dual-resource flexible job shop scheduling problem considering loading and unloading pp. 707-728

Xiuli Wu, Junjian Peng, Xiao Xiao and Shaomin Wu

Implementation of a novel algorithm of wheelset and axle box concurrent fault identification based on an efficient neural network with the attention mechanism pp. 729-743

Dechen Yao, Hengchang Liu, Jianwei Yang and Jiao Zhang

Intelligent bearing structure and temperature field analysis based on finite element simulation for sustainable and green manufacturing pp. 745-756

Jinhai Chen, Wenyuan Zhang and Heng Wang

A dynamic clustering technique based on deep reinforcement learning for Internet of vehicles pp. 757-768

Abida Sharif, Jian Ping Li, Muhammad Asim Saleem, Gunasekaran Manogran, Seifedine Kadry, Abdul Basit and Muhammad Attique Khan

Critical joint identification for efficient sequencing pp. 769-780

Roham Sadeghi Tabar, Kristina Wärmefjord, Rikard Söderberg and Lars Lindkvist

Mathematical modeling and a hybrid evolutionary algorithm for process planning pp. 781-797

Qihao Liu, Xinyu Li and Liang Gao

A novel tolerance geometric method based on machine learning pp. 799-821

Lu-jun Cui, Man-ying Sun, Yan-long Cao, Qi-jian Zhao, Wen-han Zeng and Shi-rui Guo

Multiple time-series convolutional neural network for fault detection and diagnosis and empirical study in semiconductor manufacturing pp. 823-836

Chia-Yu Hsu and Wei-Chen Liu

End-of-life product disassembly with priority-based extraction of dangerous parts pp. 837-854

Michela Dalle Mura, Francesco Pistolesi, Gino Dini and Beatrice Lazzerini

Designing an adaptive production control system using reinforcement learning pp. 855-876

Andreas Kuhnle, Jan-Philipp Kaiser, Felix Theiß, Nicole Stricker and Gisela Lanza

Impact of the thermomechanical load on subsurface phase transformations during cryogenic turning of metastable austenitic steels pp. 877-894

Hendrik Hotz, Benjamin Kirsch and Jan C. Aurich

Machine-learning for automatic prediction of flatness deviation considering the wear of the face mill teeth pp. 895-912

Andres Bustillo, Danil Yu. Pimenov, Mozammel Mia and Wojciech Kapłonek

RETRACTED ARTICLE: Analysis of interactions between performance indicators with fuzzy decision making approach in healthcare management pp. 913-913

Unal A. Kahraman

RETRACTED ARTICLE: Evaluation of the hospital service in Turkey using fuzzy decision making approach pp. 915-915

Harun Taşkin, Ünal Atakan Kahraman and Cemalettin Kubat

Volume 32, issue 2, 2021

A novel NURBS surface approach to statistically monitor manufacturing processes with point cloud data pp. 329-345

Lee J. Wells, Romina Dastoorian and Jaime A. Camelio

Semi-supervised deep learning based framework for assessing manufacturability of cellular structures in direct metal laser sintering process pp. 347-359

Yilin Guo, Wen Feng Lu and Jerry Ying Hsi Fuh

Modular neural networks for quality of transmission prediction in low-margin optical networks pp. 361-375

Masoud Vejdannik and Ali Sadr

Unsupervised deep representation learning for motor fault diagnosis by mutual information maximization pp. 377-391

Dengyu Xiao, Chengjin Qin, Honggan Yu, Yixiang Huang and Chengliang Liu

Development of a speed invariant deep learning model with application to condition monitoring of rotating machinery pp. 393-406

Wo Jae Lee, Kevin Xia, Nancy L. Denton, Bruno Ribeiro and John W. Sutherland

A case study of conditional deep convolutional generative adversarial networks in machine fault diagnosis pp. 407-425

Jia Luo, Jinying Huang and Hongmei Li

A discrete differential evolution algorithm for flow shop group scheduling problem with sequence-dependent setup and transportation times pp. 427-439

Shuaipeng Yuan, Tieke Li and Bailin Wang

A deep convolution generative adversarial networks based fuzzing framework for industry control protocols pp. 441-457

Wanyou Lv, Jiawen Xiong, Jianqi Shi, Yanhong Huang and Shengchao Qin

Weld defect classification in radiographic images using unified deep neural network with multi-level features pp. 459-469

Lu Yang and Hongquan Jiang

Reinforcement learning-based collision-free path planner for redundant robot in narrow duct pp. 471-482

Xiaotong Hua, Guolei Wang, Jing Xu and Ken Chen

Data mining for fast and accurate makespan estimation in machining workshops pp. 483-500

Lixin Cheng, Qiuhua Tang, Zikai Zhang and Shiqian Wu

VREDI: virtual representation for a digital twin application in a work-center-level asset administration shell pp. 501-544

Kyu Tae Park, Jinho Yang and Sang Do Noh

Preventive maintenance scheduling optimization based on opportunistic production-maintenance synchronization pp. 545-558

Li Li, Yong Wang and Kuo-Yi Lin

Metaheuristics for the template design problem: encoding, symmetry and hybridisation pp. 559-578

David Rodríguez Rueda, Carlos Cotta and Antonio J. Fernández-Leiva

A cyber-physical system deployment based on pull strategies for one-of-a-kind production with limited resources pp. 579-596

Guodong Huang, Jie Chen and Yacob Khojasteh

RETRACTED ARTICLE: Visual sensor intelligent module based image transmission in industrial manufacturing for monitoring and manipulation problems pp. 597-610

Bilal S. A. Alhayani and Haci Llhan

Concurrent optimization of process parameters and product design variables for near net shape manufacturing processes pp. 611-631

Daniele Marini and Jonathan R. Corney

Use of acoustic emission in combination with machine learning: monitoring of gas–liquid mixing in stirred tanks pp. 633-647

Giuseppe Forte, Federico Alberini, Mark Simmons and Hugh E. Stitt

Volume 32, issue 1, 2021

DAMER: a novel diagnosis aggregation method with evidential reasoning rule for bearing fault diagnosis pp. 1-20

Gang Wang, Feng Zhang, Bayi Cheng and Fang Fang

Fuzzy logic and sub-clustering approaches to predict main cutting force in high-pressure jet assisted turning pp. 21-36

Dragan Rodić, Milenko Sekulić, Marin Gostimirović, Vladimir Pucovsky and Davorin Kramar

An adaptive update model based on improved Long Short Term Memory for online prediction of vibration signal pp. 37-49

Huixin Tian, Daixu Ren, Kun Li and Zhen Zhao

The development of a micro-pattern manufacturing method using rotating active tools with compensation of estimated errors and an LMS algorithm pp. 51-59

Soo-Bong Cho, Seung-Kook Ro, Byung-Sub Kim, Sung-Cheul Lee and Jong-Kweon Park

Optimal pricing and sourcing strategies in the presence of supply uncertainty and competition pp. 61-76

Yixin Zhang and Xifu Wang

Estimation of tool wear and optimization of cutting parameters based on novel ANFIS-PSO method toward intelligent machining pp. 77-90

Longhua Xu, Chuanzhen Huang, Chengwu Li, Jun Wang, Hanlian Liu and Xiaodan Wang

Two-stage parallel speed-scaling machine scheduling under time-of-use tariffs pp. 91-112

Hongliang Zhang, Yujuan Wu, Ruilin Pan and Gongjie Xu

Fully convolutional networks for chip-wise defect detection employing photoluminescence images pp. 113-126

Maike Lorena Stern and Martin Schellenberger

Identification of cutting tool wear condition in turning using self-organizing map trained with imbalanced data pp. 127-140

Lucas Costa Brito, Márcio Bacci Silva and Marcus Antonio Viana Duarte

Automated detection of defects with low semantic information in X-ray images based on deep learning pp. 141-156

Wangzhe Du, Hongyao Shen, Jianzhong Fu, Ge Zhang, Xuanke Shi and Quan He

ε Constrained differential evolution using halfspace partition for optimization problems pp. 157-178

Wenchao Yi, Liang Gao, Zhi Pei, Jiansha Lu and Yong Chen

Prediction of geometry deviations in additive manufactured parts: comparison of linear regression with machine learning algorithms pp. 179-200

Ivanna Baturynska and Kristian Martinsen

A transformation of human operation approach to inform system design for automation pp. 201-220

Simon Micheler, Yee Mey Goh and Niels Lohse

Modal parameter identification of general cutter based on milling stability theory pp. 221-235

Minglong Guo, Zhaocheng Wei, Minjie Wang, Shiquan Li, Jia Wang and Shengxian Liu

Intelligent manufacturing Lie Group Machine Learning: real-time and efficient inspection system based on fog computing pp. 237-249

Chengjun Xu and Guobin Zhu

Discriminative feature learning and cluster-based defect label reconstruction for reducing uncertainty in wafer bin map labels pp. 251-263

Seyoung Park, Jaeyeon Jang and Chang Ouk Kim

Module-based product family design: systematic literature review and meta-synthesis pp. 265-312

Leandro Gauss, Daniel P. Lacerda and Paulo A. Cauchick Miguel

An improved case based reasoning method and its application in estimation of surface quality toward intelligent machining pp. 313-327

Longhua Xu, Chuanzhen Huang, Chengwu Li, Jun Wang, Hanlian Liu and Xiaodan Wang