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Content
April 2022, Volume 33, Issue 4
- 1057-1072 A sequential resampling approach for imbalanced batch process fault detection in semiconductor manufacturing
by Yi Zhang & Peng Peng & Chongdang Liu & Yanyan Xu & Heming Zhang - 1073-1086 Machine learning integrated design for additive manufacturing
by Jingchao Jiang & Yi Xiong & Zhiyuan Zhang & David W. Rosen - 1087-1098 Heuristic based approach for short term production planning in highly automated customer oriented pallet production
by Matthias Kaltenbrunner & Maria Anna Huka & Manfred Gronalt - 1099-1123 Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks
by Tobias Schlosser & Michael Friedrich & Frederik Beuth & Danny Kowerko - 1125-1138 Multi-objective optimisation of ultrasonically welded dissimilar joints through machine learning
by Patrick G. Mongan & Vedant Modi & John W. McLaughlin & Eoin P. Hinchy & Ronan M. O’Higgins & Noel P. O’Dowd & Conor T. McCarthy - 1139-1163 Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding
by Baifan Zhou & Tim Pychynski & Markus Reischl & Evgeny Kharlamov & Ralf Mikut - 1165-1180 Layer-by-layer model-based adaptive control for wire arc additive manufacturing of thin-wall structures
by Haochen Mu & Joseph Polden & Yuxing Li & Fengyang He & Chunyang Xia & Zengxi Pan - 1181-1188 Correction to: An effective approach for the dual-resource flexible job shop scheduling problem considering loading and unloading
by Xiuli Wu & Junjian Peng & Xiao Xiao & Shaomin Wu
March 2022, Volume 33, Issue 3
- 637-638 Universal manufacturing: data, resiliency, and sustainability linkages
by Andrew Kusiak - 639-674 Factors for choosing production control systems in make-to-order shops: a systematic literature review
by Fernando José Gómez Paredes & Moacir Godinho Filho & Matthias Thürer & Nuno O. Fernandes & Charbel José Chiappeta Jabbour - 675-685 On-line prediction of ultrasonic elliptical vibration cutting surface roughness of tungsten heavy alloy based on deep learning
by Yanan Pan & Renke Kang & Zhigang Dong & Wenhao Du & Sen Yin & Yan Bao - 687-702 A prediction approach of SLM based on the ensemble of metamodels considering material efficiency, energy consumption, and tensile strength
by Jingchang Li & Longchao Cao & Jiexiang Hu & Minhua Sheng & Qi Zhou & Peng Jin - 703-718 Optimization of the integrated fleet-level imperfect selective maintenance and repairpersons assignment problem
by A. Khatab & C. Diallo & E.-H. Aghezzaf & U. Venkatadri - 719-734 A clustering approach for modularizing service-oriented systems
by Omar Ezzat & Khaled Medini & Xavier Boucher & Xavier Delorme - 735-751 An effective adaptive adjustment method for service composition exception handling in cloud manufacturing
by Yankai Wang & Shilong Wang & Bo Yang & Bo Gao & Sibao Wang - 753-769 Assembly quality evaluation for linear axis of machine tool using data-driven modeling approach
by Yang Hui & Xuesong Mei & Gedong Jiang & Fei Zhao & Ziwei Ma & Tao Tao - 771-784 Automated inspection in robotic additive manufacturing using deep learning for layer deformation detection
by Omid Davtalab & Ali Kazemian & Xiao Yuan & Behrokh Khoshnevis - 785-798 Bayesian network for integrated circuit testing probe card fault diagnosis and troubleshooting to empower Industry 3.5 smart production and an empirical study
by Wenhan Fu & Chen-Fu Chien & Lizhen Tang - 799-807 Decision rule mining for machining method chains based on rough set theory
by Rui Wang & Xiangyu Guo & Shisheng Zhong & Gaolei Peng & Lin Wang - 809-830 An end-to-end fault diagnostics method based on convolutional neural network for rotating machinery with multiple case studies
by Yiwei Wang & Jian Zhou & Lianyu Zheng & Christian Gogu - 831-844 Ensemble convolutional neural networks with weighted majority for wafer bin map pattern classification
by Chia-Yu Hsu & Ju-Chien Chien - 845-852 Detecting voids in 3D printing using melt pool time series data
by Vivek Mahato & Muhannad Ahmed Obeidi & Dermot Brabazon & Pádraig Cunningham - 853-866 Prescribed performance fuzzy back-stepping control of a flexible air-breathing hypersonic vehicle subject to input constraints
by Hanqiao Huang & Chang Luo & Bo Han - 867-879 Bagging for Gaussian mixture regression in robot learning from demonstration
by Congcong Ye & Jixiang Yang & Han Ding - 881-895 Machine learning model to predict welding quality using air-coupled acoustic emission and weld inputs
by Kaiser Asif & Lu Zhang & Sybil Derrible & J. Ernesto Indacochea & Didem Ozevin & Brian Ziebart - 897-909 Digital twin of functional gating system in 3D printed molds for sand casting using a neural network
by Ahmed Ktari & Mohamed El Mansori
February 2022, Volume 33, Issue 2
- 353-385 Laser pyrolysis in papers and patents
by Christian Spreafico & Davide Russo & Riccardo Degl’Innocenti - 387-424 A review of motion planning algorithms for intelligent robots
by Chengmin Zhou & Bingding Huang & Pasi Fränti - 425-439 Trends in intelligent manufacturing research: a keyword co-occurrence network based review
by Chenxi Yuan & Guoyan Li & Sagar Kamarthi & Xiaoning Jin & Mohsen Moghaddam - 441-455 Towards scalable and reusable predictive models for cyber twins in manufacturing systems
by Cinzia Giannetti & Aniekan Essien - 457-471 Deep semi-supervised learning of dynamics for anomaly detection in laser powder bed fusion
by Sebastian Larsen & Paul A. Hooper - 473-492 Generative models for capturing and exploiting the influence of process conditions on process curves
by Tarek Iraki & Norbert Link - 493-518 Transformation of a rolling mill aggregate to a cyber physical production system: from sensor retrofitting to machine learning
by Benjamin James Ralph & Marcel Sorger & Karin Hartl & Andreas Schwarz-Gsaxner & Florian Messner & Martin Stockinger - 519-535 A computational method for detecting aspect ratio and problematic features in additive manufacturing
by Ruihuan Ge & Joseph Flynn - 537-554 Simulation-based layout optimization for multi-station assembly lines
by Daria Leiber & David Eickholt & Anh-Tu Vuong & Gunther Reinhart - 555-573 Comparison of algorithms for error prediction in manufacturing with automl and a cost-based metric
by Alexander Gerling & Holger Ziekow & Andreas Hess & Ulf Schreier & Christian Seiffer & Djaffar Ould Abdeslam - 575-591 Modelling and condition-based control of a flexible and hybrid disassembly system with manual and autonomous workstations using reinforcement learning
by Marco Wurster & Marius Michel & Marvin Carl May & Andreas Kuhnle & Nicole Stricker & Gisela Lanza - 593-615 Real-time grasping strategies using event camera
by Xiaoqian Huang & Mohamad Halwani & Rajkumar Muthusamy & Abdulla Ayyad & Dewald Swart & Lakmal Seneviratne & Dongming Gan & Yahya Zweiri - 617-635 Effect and control of path parameters on thickness distribution of cylindrical cups formed via multi-pass conventional spinning
by Shiori Gondo & Hirohiko Arai
January 2022, Volume 33, Issue 1
- 1-34 A comprehensive review of robotic assembly line balancing problem
by Parames Chutima - 35-76 Human-centred design in industry 4.0: case study review and opportunities for future research
by Hien Nguyen Ngoc & Ganix Lasa & Ion Iriarte - 77-89 Intelligent setting of process parameters for injection molding based on case-based reasoning of molding features
by Shengrui Yu & Tianfeng Zhang & Yun Zhang & Zhigao Huang & Huang Gao & Wen Han & Lih-Sheng Turng & Huamin Zhou - 91-101 Online monitoring of resistance spot welding electrode wear state based on dynamic resistance
by Lei Zhou & Tianjian Li & Wenjia Zheng & Zhongdian Zhang & Zhenglong Lei & Laijun Wu & Shiliang Zhu & Wenming Wang - 103-119 Investigation on industrial dataspace for advanced machining workshops: enabling machining operations control with domain knowledge and application case studies
by Pulin Li & Kai Cheng & Pingyu Jiang & Kanet Katchasuwanmanee - 121-135 Chatter detection for milling using novel p-leader multifractal features
by Yun Chen & Huaizhong Li & Liang Hou & Xiangjian Bu & Shaogan Ye & Ding Chen - 137-149 Genetic algorithm based approaches to solve the order batching problem and a case study in a distribution center
by Çağla Cergibozan & A. Serdar Tasan - 151-165 A novel transfer learning fault diagnosis method based on Manifold Embedded Distribution Alignment with a little labeled data
by Ke Zhao & Hongkai Jiang & Zhenghong Wu & Tengfei Lu - 167-183 Approach to derive golden paths based on machine sequence patterns in multistage manufacturing process
by Chang-Ho Lee & Dong-Hee Lee & Young-Mok Bae & Seung-Hyun Choi & Ki-Hun Kim & Kwang-Jae Kim - 185-201 Underdetermined blind source extraction of early vehicle bearing faults based on EMD and kernelized correlation maximization
by Xuejun Zhao & Yong Qin & Changbo He & Limin Jia - 203-221 Improving the accuracy of machine-learning models with data from machine test repetitions
by Andres Bustillo & Roberto Reis & Alisson R. Machado & Danil Yu. Pimenov - 223-246 Hierarchical multistrategy genetic algorithm for integrated process planning and scheduling
by Xu Zhang & Zhixue Liao & Lichao Ma & Jin Yao - 247-258 Tool wear condition monitoring based on a two-layer angle kernel extreme learning machine using sound sensor for milling process
by Yuqing Zhou & Bintao Sun & Weifang Sun & Zhi Lei - 259-282 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
by Christian Kubik & Sebastian Michael Knauer & Peter Groche - 283-292 Continual learning of neural networks for quality prediction in production using memory aware synapses and weight transfer
by Hasan Tercan & Philipp Deibert & Tobias Meisen - 293-309 Towards real-time in-situ monitoring of hot-spot defects in L-PBF: a new classification-based method for fast video-imaging data analysis
by Matteo Bugatti & Bianca Maria Colosimo - 311-332 Designing and developing smart production planning and control systems in the industry 4.0 era: a methodology and case study
by Olumide Emmanuel Oluyisola & Swapnil Bhalla & Fabio Sgarbossa & Jan Ola Strandhagen - 333-352 Deep reinforcement learning methods for structure-guided processing path optimization
by Johannes Dornheim & Lukas Morand & Samuel Zeitvogel & Tarek Iraki & Norbert Link & Dirk Helm
December 2021, Volume 32, Issue 8
- 2083-2098 Mitigating congestion in wireless sensor networks through clustering and queue assistance: a survey
by Saneh Lata Yadav & R. L. Ujjwal - 2099-2119 Review of image segmentation techniques for layup defect detection in the Automated Fiber Placement process
by Sebastian Meister & Mahdieu A. M. Wermes & Jan Stüve & Roger M. Groves - 2121-2124 A note to: A multiple-rule based constructive randomized search algorithm for solving assembly line worker assignment and balancing problem
by Adalberto Sato Michels & Alysson M. Costa - 2125-2145 Prediction and optimization of performance measures in electrical discharge machining using rapid prototyping tool electrodes
by Anshuman Kumar Sahu & Siba Sankar Mahapatra - 2147-2168 Acquiring reusable skills in intrinsically motivated reinforcement learning
by Marzieh Davoodabadi Farahani & Nasser Mozayani - 2169-2179 Multitask learning for health condition identification and remaining useful life prediction: deep convolutional neural network approach
by Tae San Kim & So Young Sohn - 2181-2196 Statistical process monitoring in a specified period for the image data of fused deposition modeling parts with consistent layers
by Tingting Huang & Shanggang Wang & Shunkun Yang & Wei Dai - 2197-2207 DyS-IENN: a novel multiclass imbalanced learning method for early warning of tardiness in rocket final assembly process
by Zilong Zhuang & Liangxun Guo & Zizhao Huang & Yanning Sun & Wei Qin & Zhao-Hui Sun - 2209-2217 Control of deposition height in WAAM using visual inspection of previous and current layers
by Jun Xiong & Yiyang Zhang & Yupeng Pi - 2219-2234 Multi-objective optimization of the resistance spot welding process using a hybrid approach
by Dawei Zhao & Mikhail Ivanov & Yuanxun Wang & Dongjie Liang & Wenhao Du - 2235-2255 Fuzzy traceability: using domain knowledge information to estimate the followed route of process instances in non-exhaustive monitoring environments
by Mateo Ramos-Merino & Juan M. Santos-Gago & Luis M. Álvarez-Sabucedo - 2257-2265 An integrated inbound logistics mode with intelligent scheduling of milk-run collection, drop and pull delivery and LNG vehicles
by Jianling Chen & Kun Wang & Yihai Huang - 2267-2280 A run-to-run controller for a chemical mechanical planarization process using least squares generative adversarial networks
by Sinyoung Kim & Jaeyeon Jang & Chang Ouk Kim - 2281-2299 On the role of complexity in machining time estimation
by Antonio Armillotta - 2301-2317 Real-time edge framework (RTEF): task scheduling and realisation
by Volkan Gezer & Achim Wagner - 2319-2334 Quality 4.0: a review of big data challenges in manufacturing
by Carlos A. Escobar & Megan E. McGovern & Ruben Morales-Menendez - 2335-2351 Modular production control using deep reinforcement learning: proximal policy optimization
by Sebastian Mayer & Tobias Classen & Christian Endisch - 2353-2373 Machine learning to determine the main factors affecting creep rates in laser powder bed fusion
by Salomé Sanchez & Divish Rengasamy & Christopher J. Hyde & Grazziela P. Figueredo & Benjamin Rothwell - 2375-2375 Correction to: Quality 4.0: a review of big data challenges in manufacturing
by Carlos A. Escobar & Megan E. McGovern & Ruben Morales-Menendez
October 2021, Volume 32, Issue 7
- 1793-1796 Editorial: intelligent manufacturing systems towards industry 4.0 era
by Ahmad Barari & Marcos Sales Guerra Tsuzuki & Yuval Cohen & Marco Macchi - 1797-1818 Industry 4.0: contributions of holonic manufacturing control architectures and future challenges
by William Derigent & Olivier Cardin & Damien Trentesaux - 1819-1832 Welding quality evaluation of resistance spot welding based on a hybrid approach
by Dawei Zhao & Mikhail Ivanov & Yuanxun Wang & Wenhao Du - 1833-1843 A steel surface defect inspection approach towards smart industrial monitoring
by Ruiyang Hao & Bingyu Lu & Ying Cheng & Xiu Li & Biqing Huang - 1845-1861 A weighted fuzzy C-means clustering method with density peak for anomaly detection in IoT-enabled manufacturing process
by Shaohua Huang & Yu Guo & Nengjun Yang & Shanshan Zha & Daoyuan Liu & Weiguang Fang - 1863-1881 A digital twins concept model for integrated maintenance: a case study for crane operation
by Janusz Szpytko & Yorlandys Salgado Duarte - 1883-1897 Tolerance analysis based on Monte Carlo simulation: a case of an automotive water pump design optimization
by Eduardo Umaras & Ahmad Barari & Marcos Sales Guerra Tsuzuki - 1899-1911 A digital twin emulator of a modular production system using a data-driven hybrid modeling and simulation approach
by Konstantinos Mykoniatis & Gregory A. Harris - 1913-1925 Regenerative scheduling problem in engineer to order manufacturing: an economic assessment
by R. Micale & C. M. La Fata & M. Enea & G. La Scalia - 1927-1938 Improving surface quality in selective laser melting based tool making
by Filippo Simoni & Andrea Huxol & Franz-Josef Villmer - 1939-1951 A thermo-mechanical machining method for improving the accuracy and stability of the geometric shape of long low-rigidity shafts
by Antoni Świć & Arkadiusz Gola & Łukasz Sobaszek & Natalia Šmidová - 1953-1973 Maintenance optimization for a multi-unit system with digital twin simulation
by Jyrki Savolainen & Michele Urbani - 1975-1995 A smart process controller framework for Industry 4.0 settings
by Yuval Cohen & Gonen Singer - 1997-2006 Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit
by Yu Mo & Qianhui Wu & Xiu Li & Biqing Huang - 2007-2021 An adaptive fault detection and root-cause analysis scheme for complex industrial processes using moving window KPCA and information geometric causal inference
by Yanning Sun & Wei Qin & Zilong Zhuang & Hongwei Xu - 2023-2041 Automation platform independent multi-agent system for robust networks of production resources in industry 4.0
by Matthias Seitz & Felix Gehlhoff & Luis Alberto Cruz Salazar & Alexander Fay & Birgit Vogel-Heuser - 2043-2060 Energy inefficiency diagnosis in industrial process through one-class machine learning techniques
by Mohamed El Koujok & Hakim Ghezzaz & Mouloud Amazouz - 2061-2081 A control architecture for continuous production processes based on industry 4.0: water supply systems application
by Edgar Chacón & Luis Alberto Cruz Salazar & Juan Cardillo & Yenny Alexandra Paredes Astudillo
August 2021, Volume 32, Issue 6
- 1517-1528 A new Fuzzy C-Means and AHP-based three-phased approach for multiple criteria ABC inventory classification
by Fatih Yiğit & Şakir Esnaf - 1529-1546 A comparison of combat genetic and big bang–big crunch algorithms for solving the buffer allocation problem
by Mehmet Ulaş Koyuncuoğlu & Leyla Demir - 1547-1561 An integrated SMED-fuzzy FMEA model for reducing setup time
by Kübra Yazıcı & Seda Hatice Gökler & Semra Boran - 1563-1572 Control of chaotic two-predator one-prey model with single state control signals
by Uğur Erkin Kocamaz & Alper Göksu & Harun Taşkın & Yılmaz Uyaroğlu - 1573-1586 Linguistic summarization to support supply network decisions
by Sena Aydoğan & Gül E. Okudan Kremer & Diyar Akay - 1587-1604 Demand forecasting application with regression and artificial intelligence methods in a construction machinery company
by Adnan Aktepe & Emre Yanık & Süleyman Ersöz - 1605-1619 Indirect tool monitoring in drilling based on gap sensor signal and multilayer perceptron feed forward neural network
by Siti Nurfadilah Binti Jaini & Deug-Woo Lee & Seung-Jun Lee & Mi-Ru Kim & Gil-Ho Son - 1621-1647 Designing energy-efficient high-precision multi-pass turning processes via robust optimization and artificial intelligence
by Soheyl Khalilpourazari & Saman Khalilpourazary & Aybike Özyüksel Çiftçioğlu & Gerhard-Wilhelm Weber - 1649-1667 Multi-product scheduling through process mining: bridging optimization and machine process intelligence
by Alexandre Checoli Choueiri & Eduardo Alves Portela Santos - 1669-1678 Temporal anomaly detection on IIoT-enabled manufacturing
by Peng Zhan & Shaokun Wang & Jun Wang & Leigang Qu & Kun Wang & Yupeng Hu & Xueqing Li - 1679-1698 Digitalization priorities of quality control processes for SMEs: a conceptual study in perspective of Industry 4.0 adoption
by Gautam Dutta & Ravinder Kumar & Rahul Sindhwani & Rajesh Kr. Singh - 1699-1710 Technological troubleshooting based on sentence embedding with deep transformers
by Antonio L. Alfeo & Mario G. C. A. Cimino & Gigliola Vaglini - 1711-1727 Bound smoothing based time series anomaly detection using multiple similarity measures
by Wenqing Wang & Junpeng Bao & Tao Li - 1729-1737 Evaluation on regional science and technology resources allocation in China based on the zero sum gains data envelopment analysis
by Tingting Liu & Zichen Zheng & Yuneng Du - 1739-1751 Machine learning algorithms for the prediction of non-metallic inclusions in steel wires for tire reinforcement
by Miguel Cuartas & Estela Ruiz & Diego Ferreño & Jesús Setién & Valentín Arroyo & Federico Gutiérrez-Solana - 1753-1766 Predicting tool wear size across multi-cutting conditions using advanced machine learning techniques
by Yan Shen & Feng Yang & Mohamed Salahuddin Habibullah & Jhinaoui Ahmed & Ankit Kumar Das & Yu Zhou & Choon Lim Ho - 1767-1789 Synthetic image data augmentation for fibre layup inspection processes: Techniques to enhance the data set
by Sebastian Meister & Nantwin Möller & Jan Stüve & Roger M. Groves - 1791-1791 Correction to: Bound smoothing based time series anomaly detection using multiple similarity measures
by Wenqing Wang & Junpeng Bao & Tao Li
June 2021, Volume 32, Issue 5
- 1229-1248 Recommender systems as an agility enabler in supply chain management
by Camélia Dadouchi & Bruno Agard - 1249-1269 An active safety control method of collision avoidance for intelligent connected vehicle based on driving risk perception
by Chuan Sun & Sifa Zheng & Yulin Ma & Duanfeng Chu & Junru Yang & Yuncheng Zhou & Yicheng Li & Tingxuan Xu - 1271-1288 A novel normalized recurrent neural network for fault diagnosis with noisy labels
by Xiaoyin Nie & Gang Xie - 1289-1304 Online monitoring and control of a cyber-physical manufacturing process under uncertainty
by Saideep Nannapaneni & Sankaran Mahadevan & Abhishek Dubey & Yung-Tsun Tina Lee - 1305-1322 Wheel hub customization with an interactive artificial immune algorithm
by Jing Liu & Qiqi Zhi & Haipeng Ji & Bolong Li & Siyuan Lei - 1323-1344 A flexible alarm prediction system for smart manufacturing scenarios following a forecaster–analyzer approach
by Kevin Villalobos & Johan Suykens & Arantza Illarramendi - 1345-1359 Error analysis based on error transfer theory and compensation strategy for LED chip visual localization systems
by Diyi Zhou & Shihua Gong & Ziyue Wang & Delong Li & Huaiqing Lu - 1361-1375 Optimization in solving inventory control problem using nature inspired Emperor Penguins Colony algorithm
by Sasan Harifi & Madjid Khalilian & Javad Mohammadzadeh & Sadoullah Ebrahimnejad - 1377-1388 Prediction of laser cutting parameters for polymethylmethacrylate sheets using random vector functional link network integrated with equilibrium optimizer
by Ammar H. Elsheikh & Taher A. Shehabeldeen & Jianxin Zhou & Ezzat Showaib & Mohamed Abd Elaziz - 1389-1399 A hybrid method of blockchain and case-based reasoning for remanufacturing process planning
by Shengqiang Li & Hua Zhang & Wei Yan & Zhigang Jiang - 1401-1410 Macroscopic numerical model of reinforced concrete shear walls based on material properties
by Wurong Fu - 1411-1420 Study of the hinge thickness deviation for a 316L parallelogram flexure mechanism fabricated via selective laser melting
by Huaxian Wei & Bijan Shirinzadeh & Xiaodong Niu & Jian Zhang & Wei Li & Alessandro Simeone - 1421-1440 RUL prediction for automatic machines: a mixed edge-cloud solution based on model-of-signals and particle filtering techniques
by Matteo Barbieri & Khan T. P. Nguyen & Roberto Diversi & Kamal Medjaher & Andrea Tilli - 1441-1453 The optimization of the control logic of a redundant six axis milling machine
by Antonio Caputi & Davide Russo - 1455-1470 Multi-robot multi-operator collaborative assembly systems: a performance evaluation model
by Giovanni Boschetti & Matteo Bottin & Maurizio Faccio & Riccardo Minto - 1471-1483 Machine learning for multi-dimensional optimisation and predictive visualisation of laser machining
by Michael D. T. McDonnell & Daniel Arnaldo & Etienne Pelletier & James A. Grant-Jacob & Matthew Praeger & Dimitris Karnakis & Robert W. Eason & Ben Mills - 1485-1495 In-situ identification of material batches using machine learning for machining operations
by Benjamin Lutz & Dominik Kisskalt & Andreas Mayr & Daniel Regulin & Matteo Pantano & Jörg Franke - 1497-1515 Fuzzy set theory driven maintenance sustainability performance assessment model: a multiple criteria approach
by Małgorzata Jasiulewicz-Kaczmarek & Patryk Żywica & Arkadiusz Gola
April 2021, Volume 32, Issue 4
- 917-933 Sequential graph-based routing algorithm for electrical harnesses, tubes, and hoses in a commercial vehicle
by Saekyeol Kim & Taehyeok Choi & Shinyu Kim & Taejoon Kwon & Tae Hee Lee & Kwangrae Lee - 935-946 Investigating the effect of value stream mapping on procurement effectiveness: a case study
by Shuwei Jing & Kaixuan Hou & Junai Yan & Zih-Ping Ho & Lu Han - 947-956 Milling force prediction model based on transfer learning and neural network
by Juncheng Wang & Bin Zou & Mingfang Liu & Yishang Li & Hongjian Ding & Kai Xue - 957-969 Hybrid genetic algorithm based on bin packing strategy for the unrelated parallel workgroup scheduling problem
by Bentao Su & Naiming Xie & Yingjie Yang - 971-987 Bearing fault diagnosis base on multi-scale CNN and LSTM model
by Xiaohan Chen & Beike Zhang & Dong Gao - 989-1007 Cost-oriented robotic assembly line balancing problem with setup times: multi-objective algorithms
by Zixiang Li & Mukund Nilakantan Janardhanan & S. G. Ponnambalam - 1009-1023 Deep convolutional neural network aided optimization for cold spray 3D simulation based on molecular dynamics
by Zhenxing Cheng & Hu Wang & Gui-Rong Liu - 1025-1041 Computer aided manufacturing method for surface silicon steel inspection based on an efficient anisotropic diffusion algorithm
by Mohamed Ben Gharsallah & Ezzedine Ben Braiek - 1043-1063 Formal modelling of a sheet metal smart manufacturing system by using Petri nets and first-order predicate logic
by Juan Lu & Chengyi Ou & Chen Liao & Zhenkun Zhang & Kai Chen & Xiaoping Liao - 1065-1090 3D facility layout problem
by Mariem Besbes & Marc Zolghadri & Roberta Costa Affonso & Faouzi Masmoudi & Mohamed Haddar - 1091-1115 A credit-based dynamical evaluation method for the smart configuration of manufacturing services under Industrial Internet of Things
by Wang Shijie & Zhang Yingfeng - 1117-1128 RETRACTED ARTICLE: Economic IoT strategy: the future technology for health monitoring and diagnostic of agriculture vehicles
by Neeraj Gupta & Saurabh Gupta & Mahdi Khosravy & Nilanjan Dey & Nisheeth Joshi & Rubén González Crespo & Nilesh Patel - 1129-1146 Skill transfer support model based on deep learning
by Kung-Jeng Wang & Diwanda Ageng Rizqi & Hong-Phuc Nguyen - 1147-1161 A multi-task and multi-scale convolutional neural network for automatic recognition of woven fabric pattern
by Shuo Meng & Ruru Pan & Weidong Gao & Jian Zhou & Jingan Wang & Wentao He - 1163-1172 Automatic solar cell diagnosis and treatment
by Alvaro Rodriguez & Carlos Gonzalez & Andres Fernandez & Francisco Rodriguez & Tamara Delgado & Martin Bellman - 1173-1187 A multilayer shallow learning approach to variation prediction and variation source identification in multistage machining processes
by Filmon Yacob & Daniel Semere - 1189-1206 Heuristic techniques for modelling machine spinning processes
by Roman Stryczek & Kamil Wyrobek - 1207-1228 Field-synchronized Digital Twin framework for production scheduling with uncertainty
by Elisa Negri & Vibhor Pandhare & Laura Cattaneo & Jaskaran Singh & Marco Macchi & Jay Lee
March 2021, Volume 32, Issue 3
- 649-665 Role of trochoidal machining process parameter and chip morphology studies during end milling of AISI D3 steel
by J. Santhakumar & U. Mohammed Iqbal - 667-677 An experimental study of modified physical performance test of low-temperature epoxy grouting material for grouting joints with tenon and mortise
by Huifeng Su & Renzhuang Li & Ming Yang - 679-688 A post-quantum secure communication system for cloud manufacturing safety
by Haibo Yi - 689-706 A self-organized approach for scheduling semiconductor manufacturing systems
by Qingyun Yu & Haolin Yang & Kuo-Yi Lin & Li Li - 707-728 An effective approach for the dual-resource flexible job shop scheduling problem considering loading and unloading
by Xiuli Wu & Junjian Peng & Xiao Xiao & Shaomin Wu - 729-743 Implementation of a novel algorithm of wheelset and axle box concurrent fault identification based on an efficient neural network with the attention mechanism
by Dechen Yao & Hengchang Liu & Jianwei Yang & Jiao Zhang - 745-756 Intelligent bearing structure and temperature field analysis based on finite element simulation for sustainable and green manufacturing
by Jinhai Chen & Wenyuan Zhang & Heng Wang - 757-768 A dynamic clustering technique based on deep reinforcement learning for Internet of vehicles
by Abida Sharif & Jian Ping Li & Muhammad Asim Saleem & Gunasekaran Manogran & Seifedine Kadry & Abdul Basit & Muhammad Attique Khan - 769-780 Critical joint identification for efficient sequencing
by Roham Sadeghi Tabar & Kristina Wärmefjord & Rikard Söderberg & Lars Lindkvist - 781-797 Mathematical modeling and a hybrid evolutionary algorithm for process planning
by Qihao Liu & Xinyu Li & Liang Gao - 799-821 A novel tolerance geometric method based on machine learning
by Lu-jun Cui & Man-ying Sun & Yan-long Cao & Qi-jian Zhao & Wen-han Zeng & Shi-rui Guo - 823-836 Multiple time-series convolutional neural network for fault detection and diagnosis and empirical study in semiconductor manufacturing
by Chia-Yu Hsu & Wei-Chen Liu - 837-854 End-of-life product disassembly with priority-based extraction of dangerous parts
by Michela Dalle Mura & Francesco Pistolesi & Gino Dini & Beatrice Lazzerini - 855-876 Designing an adaptive production control system using reinforcement learning
by Andreas Kuhnle & Jan-Philipp Kaiser & Felix Theiß & Nicole Stricker & Gisela Lanza - 877-894 Impact of the thermomechanical load on subsurface phase transformations during cryogenic turning of metastable austenitic steels
by Hendrik Hotz & Benjamin Kirsch & Jan C. Aurich - 895-912 Machine-learning for automatic prediction of flatness deviation considering the wear of the face mill teeth
by Andres Bustillo & Danil Yu. Pimenov & Mozammel Mia & Wojciech Kapłonek - 913-913 RETRACTED ARTICLE: Analysis of interactions between performance indicators with fuzzy decision making approach in healthcare management
by Unal A. Kahraman - 915-915 RETRACTED ARTICLE: Evaluation of the hospital service in Turkey using fuzzy decision making approach
by Harun Taşkin & Ünal Atakan Kahraman & Cemalettin Kubat
February 2021, Volume 32, Issue 2
- 329-345 A novel NURBS surface approach to statistically monitor manufacturing processes with point cloud data
by Lee J. Wells & Romina Dastoorian & Jaime A. Camelio - 347-359 Semi-supervised deep learning based framework for assessing manufacturability of cellular structures in direct metal laser sintering process
by Yilin Guo & Wen Feng Lu & Jerry Ying Hsi Fuh - 361-375 Modular neural networks for quality of transmission prediction in low-margin optical networks
by Masoud Vejdannik & Ali Sadr - 377-391 Unsupervised deep representation learning for motor fault diagnosis by mutual information maximization
by Dengyu Xiao & Chengjin Qin & Honggan Yu & Yixiang Huang & Chengliang Liu - 393-406 Development of a speed invariant deep learning model with application to condition monitoring of rotating machinery
by Wo Jae Lee & Kevin Xia & Nancy L. Denton & Bruno Ribeiro & John W. Sutherland - 407-425 A case study of conditional deep convolutional generative adversarial networks in machine fault diagnosis
by Jia Luo & Jinying Huang & Hongmei Li - 427-439 A discrete differential evolution algorithm for flow shop group scheduling problem with sequence-dependent setup and transportation times
by Shuaipeng Yuan & Tieke Li & Bailin Wang - 441-457 A deep convolution generative adversarial networks based fuzzing framework for industry control protocols
by Wanyou Lv & Jiawen Xiong & Jianqi Shi & Yanhong Huang & Shengchao Qin - 459-469 Weld defect classification in radiographic images using unified deep neural network with multi-level features
by Lu Yang & Hongquan Jiang - 471-482 Reinforcement learning-based collision-free path planner for redundant robot in narrow duct
by Xiaotong Hua & Guolei Wang & Jing Xu & Ken Chen - 483-500 Data mining for fast and accurate makespan estimation in machining workshops
by Lixin Cheng & Qiuhua Tang & Zikai Zhang & Shiqian Wu - 501-544 VREDI: virtual representation for a digital twin application in a work-center-level asset administration shell
by Kyu Tae Park & Jinho Yang & Sang Do Noh - 545-558 Preventive maintenance scheduling optimization based on opportunistic production-maintenance synchronization
by Li Li & Yong Wang & Kuo-Yi Lin - 559-578 Metaheuristics for the template design problem: encoding, symmetry and hybridisation
by David Rodríguez Rueda & Carlos Cotta & Antonio J. Fernández-Leiva - 579-596 A cyber-physical system deployment based on pull strategies for one-of-a-kind production with limited resources
by Guodong Huang & Jie Chen & Yacob Khojasteh - 597-610 RETRACTED ARTICLE: Visual sensor intelligent module based image transmission in industrial manufacturing for monitoring and manipulation problems
by Bilal S. A. Alhayani & Haci llhan - 611-631 Concurrent optimization of process parameters and product design variables for near net shape manufacturing processes
by Daniele Marini & Jonathan R. Corney - 633-647 Use of acoustic emission in combination with machine learning: monitoring of gas–liquid mixing in stirred tanks
by Giuseppe Forte & Federico Alberini & Mark Simmons & Hugh E. Stitt
January 2021, Volume 32, Issue 1
- 1-20 DAMER: a novel diagnosis aggregation method with evidential reasoning rule for bearing fault diagnosis
by Gang Wang & Feng Zhang & Bayi Cheng & Fang Fang - 21-36 Fuzzy logic and sub-clustering approaches to predict main cutting force in high-pressure jet assisted turning
by Dragan Rodić & Milenko Sekulić & Marin Gostimirović & Vladimir Pucovsky & Davorin Kramar - 37-49 An adaptive update model based on improved Long Short Term Memory for online prediction of vibration signal
by Huixin Tian & Daixu Ren & Kun Li & Zhen Zhao - 51-59 The development of a micro-pattern manufacturing method using rotating active tools with compensation of estimated errors and an LMS algorithm
by Soo-Bong Cho & Seung-Kook Ro & Byung-Sub Kim & Sung-Cheul Lee & Jong-Kweon Park - 61-76 Optimal pricing and sourcing strategies in the presence of supply uncertainty and competition
by Yixin Zhang & Xifu Wang - 77-90 Estimation of tool wear and optimization of cutting parameters based on novel ANFIS-PSO method toward intelligent machining
by Longhua Xu & Chuanzhen Huang & Chengwu Li & Jun Wang & Hanlian Liu & Xiaodan Wang - 91-112 Two-stage parallel speed-scaling machine scheduling under time-of-use tariffs
by Hongliang Zhang & Yujuan Wu & Ruilin Pan & Gongjie Xu - 113-126 Fully convolutional networks for chip-wise defect detection employing photoluminescence images
by Maike Lorena Stern & Martin Schellenberger - 127-140 Identification of cutting tool wear condition in turning using self-organizing map trained with imbalanced data
by Lucas Costa Brito & Márcio Bacci Silva & Marcus Antonio Viana Duarte - 141-156 Automated detection of defects with low semantic information in X-ray images based on deep learning
by Wangzhe Du & Hongyao Shen & Jianzhong Fu & Ge Zhang & Xuanke Shi & Quan He - 157-178 ε Constrained differential evolution using halfspace partition for optimization problems
by Wenchao Yi & Liang Gao & Zhi Pei & Jiansha Lu & Yong Chen - 179-200 Prediction of geometry deviations in additive manufactured parts: comparison of linear regression with machine learning algorithms
by Ivanna Baturynska & Kristian Martinsen - 201-220 A transformation of human operation approach to inform system design for automation
by Simon Micheler & Yee Mey Goh & Niels Lohse - 221-235 Modal parameter identification of general cutter based on milling stability theory
by Minglong Guo & Zhaocheng Wei & Minjie Wang & Shiquan Li & Jia Wang & Shengxian Liu