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Content
June 2021, Volume 32, Issue 5
- 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 - 237-249 Intelligent manufacturing Lie Group Machine Learning: real-time and efficient inspection system based on fog computing
by Chengjun Xu & Guobin Zhu - 251-263 Discriminative feature learning and cluster-based defect label reconstruction for reducing uncertainty in wafer bin map labels
by Seyoung Park & Jaeyeon Jang & Chang Ouk Kim - 265-312 Module-based product family design: systematic literature review and meta-synthesis
by Leandro Gauss & Daniel P. Lacerda & Paulo A. Cauchick Miguel - 313-327 An improved case based reasoning method and its application in estimation of surface quality toward intelligent machining
by Longhua Xu & Chuanzhen Huang & Chengwu Li & Jun Wang & Hanlian Liu & Xiaodan Wang
December 2020, Volume 31, Issue 8
- 1813-1823 Real-time defect detection network for polarizer based on deep learning
by Ruizhen Liu & Zhiyi Sun & Anhong Wang & Kai Yang & Yin Wang & Qianlai Sun - 1825-1836 Activation functions selection for BP neural network model of ground surface roughness
by Yuhang Pan & Yonghao Wang & Ping Zhou & Ying Yan & Dongming Guo - 1837-1859 The architecture development of Industry 4.0 compliant smart machine tool system (SMTS)
by Byeongwoo Jeon & Joo-Sung Yoon & Jumyung Um & Suk-Hwan Suh - 1861-1875 Wafer map defect pattern classification based on convolutional neural network features and error-correcting output codes
by Cheng Hao Jin & Hyun-Jin Kim & Yongjun Piao & Meijing Li & Minghao Piao - 1877-1888 Swarm intelligence based centralized clustering: a novel solution
by Cosmena Mahapatra & Ashish Payal & Meenu Chopra - 1889-1897 Analysis of production cycle-time distribution with a big-data approach
by Xu Tan & Lining Xing & Zhaoquan Cai & Gaige Wang - 1899-1916 Unsupervised rotating machinery fault diagnosis method based on integrated SAE–DBN and a binary processor
by Jialin Li & Xueyi Li & David He & Yongzhi Qu - 1917-1933 Towards an automated decision support system for the identification of additive manufacturing part candidates
by Sheng Yang & Thomas Page & Ying Zhang & Yaoyao Fiona Zhao - 1935-1948 Nonlinear time-series modeling of feed drive system based on motion states classification
by Yakun Jiang & Jihong Chen & Huicheng Zhou & Jianzhong Yang & Guangda Xu - 1949-1983 A research survey: heuristic approaches for solving multi objective flexible job shop problems
by Alper Türkyılmaz & Özlem Şenvar & İrem Ünal & Serol Bulkan - 1985-2002 Pricing strategy and system performance in a cloud-based manufacturing system built on blockchain technology
by Xiaobao Zhu & Jing Shi & Fengjie Xie & Rouqi Song - 2003-2017 Quality analysis in metal additive manufacturing with deep learning
by Xiang Li & Xiaodong Jia & Qibo Yang & Jay Lee - 2019-2032 Various realization methods of machine-part classification based on deep learning
by Fangwei Ning & Yan Shi & Maolin Cai & Weiqing Xu - 2033-2047 Two-sided matching decision-making model with hesitant fuzzy preference information for configuring cloud manufacturing tasks and resources
by Baodong Li & Yu Yang & Jiafu Su & Zhichao Liang & Sheng Wang - 2049-2067 Design optimization by integrating limited simulation data and shape engineering knowledge with Bayesian optimization (BO-DK4DO)
by Jia Hao & Mengying Zhou & Guoxin Wang & Liangyue Jia & Yan Yan - 2069-2087 Real-time task processing for spinning cyber-physical production systems based on edge computing
by Shiyong Yin & Jinsong Bao & Jie Zhang & Jie Li & Junliang Wang & Xiaodi Huang - 2089-2090 Intelligent decision making for service and manufacturing industries
by Junwei Wang & Su Xiu Xu & Gangyan Xu
October 2020, Volume 31, Issue 7
- 1607-1610 Extreme science and engineering
by Andrew Kusiak - 1611-1619 Data-driven prognostic method based on self-supervised learning approaches for fault detection
by Tian Wang & Meina Qiao & Mengyi Zhang & Yi Yang & Hichem Snoussi - 1621-1633 Approach for fault prognosis using recurrent neural network
by Qianhui Wu & Keqin Ding & Biqing Huang - 1635-1648 Optimizing human–robot task allocation using a simulation tool based on standardized work descriptions
by Timo Bänziger & Andreas Kunz & Konrad Wegener - 1649-1660 Cloud manufacturing service QoS prediction based on neighbourhood enhanced matrix factorization
by Yu Feng & Biqing Huang - 1661-1671 An effective approach for causal variables analysis in diesel engine production by using mutual information and network deconvolution
by Wei Qin & Dongye Zha & Jie Zhang - 1673-1691 A scheduling optimization method for maintenance, repair and operations service resources of complex products
by Hao Li & Shanghua Mi & Qifeng Li & Xiaoyu Wen & Dongping Qiao & Guofu Luo - 1693-1705 A data-driven method based on deep belief networks for backlash error prediction in machining centers
by Zhe Li & Yi Wang & Kesheng Wang - 1707-1720 Hypernetwork-based manufacturing service scheduling for distributed and collaborative manufacturing operations towards smart manufacturing
by Ying Cheng & Luning Bi & Fei Tao & Ping Ji - 1721-1736 Data-driven customer requirements discernment in the product lifecycle management via intuitionistic fuzzy sets and electroencephalogram
by Shanhe Lou & Yixiong Feng & Hao Zheng & Yicong Gao & Jianrong Tan - 1737-1748 Blockchain-based business process management (BPM) framework for service composition in industry 4.0
by Wattana Viriyasitavat & Li Xu & Zhuming Bi & Assadaporn Sapsomboon - 1749-1749 Correction to: Blockchain-based business process management (BPM) framework for service composition in industry 4.0
by Wattana Viriyasitavat & Li Da Xu & Zhuming Bi & Assadaporn Sapsomboon - 1751-1767 A knowledge based intelligent process planning method for controller of computer numerical control machine tools
by Yingxin Ye & Tianliang Hu & Yan Yang & Wendan Zhu & Chengrui Zhang - 1769-1781 A data-driven approach for predicting printability in metal additive manufacturing processes
by William Mycroft & Mordechai Katzman & Samuel Tammas-Williams & Everth Hernandez-Nava & George Panoutsos & Iain Todd & Visakan Kadirkamanathan - 1783-1793 Transfer-robot task scheduling in flexible job shop
by Andy Ham - 1795-1811 Adaptive self-learning mechanisms for updating short-term production decisions in an industrial mining complex
by Ashish Kumar & Roussos Dimitrakopoulos & Marco Maulen
August 2020, Volume 31, Issue 6
- 1313-1337 A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspectives
by Kendrik Yan Hong Lim & Pai Zheng & Chun-Hsien Chen - 1339-1352 A failure mode and risk assessment method based on cloud model
by Xinlong Li & Yan Ran & Genbao Zhang & Yan He - 1353-1366 Machine learning-based instantaneous cutting force model for end milling operation
by Shubham Vaishnav & Ankit Agarwal & K. A. Desai - 1367-1382 Multi-agent systems negotiation to deal with dynamic scheduling in disturbed industrial context
by Tsegay Tesfay Mezgebe & Hind Bril El Haouzi & Guillaume Demesure & Remi Pannequin & Andre Thomas - 1383-1402 A six-layer architecture for the digital twin: a manufacturing case study implementation
by A. J. H. Redelinghuys & A. H. Basson & K. Kruger - 1403-1428 On the end-of-life state oriented multi-objective disassembly line balancing problem
by Lixia Zhu & Zeqiang Zhang & Yi Wang & Ning Cai - 1429-1441 Assembly consistency improvement of straightness error of the linear axis based on the consistency degree and GA-MSVM-I-KM
by Yang Hui & Xuesong Mei & Gedong Jiang & Fei Zhao & Pengcheng Shen - 1443-1466 A memetic algorithm for multi-objective distributed production scheduling: minimizing the makespan and total energy consumption
by Guiliang Gong & Raymond Chiong & Qianwang Deng & Qiang Luo - 1467-1481 Imbalanced fault diagnosis of rotating machinery via multi-domain feature extraction and cost-sensitive learning
by Qifa Xu & Shixiang Lu & Weiyin Jia & Cuixia Jiang - 1483-1496 Production scheduling problem in a factory of automobile component primer painting
by Ivan Kristianto Singgih & Onyu Yu & Byung-In Kim & Jeongin Koo & Seungdoe Lee - 1497-1510 A hybrid information model based on long short-term memory network for tool condition monitoring
by Weili Cai & Wenjuan Zhang & Xiaofeng Hu & Yingchao Liu - 1511-1529 An adversarial bidirectional serial–parallel LSTM-based QTD framework for product quality prediction
by Zhenyu Liu & Donghao Zhang & Weiqiang Jia & Xianke Lin & Hui Liu - 1531-1558 Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0
by Juan Pablo Usuga Cadavid & Samir Lamouri & Bernard Grabot & Robert Pellerin & Arnaud Fortin - 1559-1578 Knowledge recommendation for product development using integrated rough set-information entropy correction
by Zhenyong Wu & Lina He & Yuan Wang & Mark Goh & Xinguo Ming - 1579-1606 A knowledge-based system for quality analysis in model-based design
by Wei Yang & Chaofan Fu & Xiaoguang Yan & Zhuoning Chen
June 2020, Volume 31, Issue 5
- 1079-1099 Hybrid constrained permutation algorithm and genetic algorithm for process planning problem
by Abdullah Falih & Ahmed Z. M. Shammari - 1101-1112 Supervised feature learning by adversarial autoencoder approach for object classification in dual X-ray image of luggage
by Mohamed Chouai & Mostefa Merah & José-Luis Sancho-Gómez & Malika Mimi - 1113-1132 Real-time machining data application and service based on IMT digital twin
by Xin Tong & Qiang Liu & Shiwei Pi & Yao Xiao - 1133-1147 Multi-bead overlapping model with varying cross-section profile for robotic GMAW-based additive manufacturing
by Zeqi Hu & Xunpeng Qin & Yifeng Li & Jiuxin Yuan & Qiang Wu - 1149-1164 Formal modeling of cyber-physical resource scheduling in IIoT cloud environments
by Shashi Bhushan Jha & Radu F. Babiceanu & Remzi Seker - 1165-1174 Effective automatic defect classification process based on CNN with stacking ensemble model for TFT-LCD panel
by Myeongso Kim & Minyoung Lee & Minjeong An & Hongchul Lee - 1175-1189 Monitoring of a machining process using kernel principal component analysis and kernel density estimation
by Wo Jae Lee & Gamini P. Mendis & Matthew J. Triebe & John W. Sutherland - 1191-1201 Towards defect monitoring for metallic additive manufacturing components using phased array ultrasonic testing
by A. Chabot & N. Laroche & E. Carcreff & M. Rauch & J.-Y. Hascoët - 1203-1213 Control of weld penetration depth using relative fluctuation coefficient as feedback
by Shuangyang Zou & Zhijiang Wang & Shengsun Hu & Wandong Wang & Yue Cao - 1215-1228 Image synthesis in contrast MRI based on super resolution reconstruction with multi-refinement cycle-consistent generative adversarial networks
by Kun Wu & Yan Qiang & Kai Song & Xueting Ren & WenKai Yang & Wanjun Zhang & Akbar Hussain & Yanfen Cui - 1229-1241 Identification and classification of materials using machine vision and machine learning in the context of industry 4.0
by Durga Prasad Penumuru & Sreekumar Muthuswamy & Premkumar Karumbu - 1243-1255 Timely chatter identification for robotic drilling using a local maximum synchrosqueezing-based method
by Jianfeng Tao & Chengjin Qin & Dengyu Xiao & Haotian Shi & Xiao Ling & Bingchu Li & Chengliang Liu - 1257-1273 An intelligent decision support system for production planning based on machine learning
by Germán González Rodríguez & Jose M. Gonzalez-Cava & Juan Albino Méndez Pérez - 1275-1289 Support vector machines based non-contact fault diagnosis system for bearings
by Deepam Goyal & Anurag Choudhary & B. S. Pabla & S. S. Dhami - 1291-1309 A novel learning-based feature recognition method using multiple sectional view representation
by Peizhi Shi & Qunfen Qi & Yuchu Qin & Paul J. Scott & Xiangqian Jiang - 1311-1311 Retraction Note to: Potential of soft computing approach for evaluating the factors affecting the capacity of steel–concrete composite beam
by Ali Toghroli & Meldi Suhatril & Zainah Ibrahim & Maryam Safa & Mahdi Shariati & Shahaboddin Shamshirband
April 2020, Volume 31, Issue 4
- 799-814 Real-time monitoring of high-power disk laser welding statuses based on deep learning framework
by Yanxi Zhang & Deyong You & Xiangdong Gao & Congyi Wang & Yangjin Li & Perry P. Gao - 815-832 Artificial intelligence planners for multi-head path planning of SwarmItFIX agents
by Satheeshkumar Veeramani & Sreekumar Muthuswamy & Keerthi Sagar & Matteo Zoppi - 833-845 A data-driven decision-making optimization approach for inconsistent lithium-ion cell screening
by Chengbao Liu & Jie Tan & Xuelei Wang - 847-864 Injection molding manufacturing process: review of case-based reasoning applications
by Mohammad Reza Khosravani & Sara Nasiri - 865-884 Machine learning technique for data-driven fault detection of nonlinear processes
by Maroua Said & Khaoula ben Abdellafou & Okba Taouali - 885-897 Image-based defect detection in lithium-ion battery electrode using convolutional neural networks
by Olatomiwa Badmos & Andreas Kopp & Timo Bernthaler & Gerhard Schneider - 899-909 A zero-shot learning method for fault diagnosis under unknown working loads
by Yiping Gao & Liang Gao & Xinyu Li & Yuwei Zheng - 911-935 Non-dominated sorting modified teaching–learning-based optimization for multi-objective machining of polytetrafluoroethylene (PTFE)
by Elango Natarajan & Varadaraju Kaviarasan & Wei Hong Lim & Sew Sun Tiang & S. Parasuraman & Sangeetha Elango - 937-951 Intelligent pulse analysis of high-speed electrical discharge machining using different RNNs
by Xuexin Zhang & Yonghong Liu & Xinlei Wu & Zhenwei Niu - 953-966 Tool wear predicting based on multi-domain feature fusion by deep convolutional neural network in milling operations
by Zhiwen Huang & Jianmin Zhu & Jingtao Lei & Xiaoru Li & Fengqing Tian - 967-984 An effective and automatic approach for parameters optimization of complex end milling process based on virtual machining
by Hengyuan Ma & Wei Liu & Xionghui Zhou & Qiang Niu & Chuipin Kong - 985-1002 Mixed-layer adaptive slicing for robotic Additive Manufacturing (AM) based on decomposing and regrouping
by Donghua Zhao & Weizhong Guo - 1003-1018 Shop floor data-driven spatial–temporal verification for manual assembly planning
by Wei Fang & Lianyu Zheng - 1019-1035 On mining frequent chronicles for machine failure prediction
by Chayma Sellami & Carlos Miranda & Ahmed Samet & Mohamed Anis Bach Tobji & François de Beuvron - 1037-1049 Conductive particle detection via deep learning for ACF bonding in TFT-LCD manufacturing
by Eryun Liu & Kangping Chen & Zhiyu Xiang & Jun Zhang - 1051-1078 Time/sequence-dependent scheduling: the design and evaluation of a general purpose tabu-based adaptive large neighbourhood search algorithm
by Lei He & Mathijs Weerdt & Neil Yorke-Smith
March 2020, Volume 31, Issue 3
- 529-552 Data-informed inverse design by product usage information: a review, framework and outlook
by Liang Hou & Roger J. Jiao - 553-560 Support vector regression to correct motor current of machine tool drives
by Max Schwenzer & Thomas Auerbach & Kazumasa Miura & Benjamin Döbbeler & Thomas Bergs - 561-574 On-line part deformation prediction based on deep learning
by Zhiwei Zhao & Yingguang Li & Changqing Liu & James Gao - 575-596 A study on the prediction of inherent deformation in fillet-welded joint using support vector machine and genetic optimization algorithm
by Liang Tian & Yu Luo - 597-613 Integrating customer requirements into customized product configuration design based on Kano’s model
by Shuangyao Zhao & Qiang Zhang & Zhanglin Peng & Yu Fan - 615-640 A methodology for solving facility layout problem considering barriers: genetic algorithm coupled with A* search
by Mariem Besbes & Marc Zolghadri & Roberta Costa Affonso & Faouzi Masmoudi & Mohamed Haddar - 641-659 Genetic algorithms applied to integration and optimization of billing and picking processes
by Anderson Rogério Faia Pinto & Marcelo Seido Nagano - 661-680 A modular factory testbed for the rapid reconfiguration of manufacturing systems
by 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 & W. Baek - 681-702 SDF-GA: a service domain feature-oriented approach for manufacturing cloud service composition
by Tianyang Li & Ting He & Zhongjie Wang & Yufeng Zhang - 703-716 Control chart pattern recognition using the convolutional neural network
by Tao Zan & Zhihao Liu & Hui Wang & Min Wang & Xiangsheng Gao - 717-744 Research on adaptive CNC machining arithmetic and process for near-net-shaped jet engine blade
by Dongbo Wu & Hui Wang & Kaiyao Zhang & Bing Zhao & Xiaojun Lin - 745-757 Optimization of preventive maintenance for series manufacturing system by differential evolution algorithm
by Xiaofeng Wang & Shu Guo & Jian Shen & Yang Liu - 759-776 Segmentation-based deep-learning approach for surface-defect detection
by Domen Tabernik & Samo Šela & Jure Skvarč & Danijel Skočaj - 777-787 Multi-source transfer learning of time series in cyclical manufacturing
by Werner Zellinger & Thomas Grubinger & Michael Zwick & Edwin Lughofer & Holger Schöner & Thomas Natschläger & Susanne Saminger-Platz - 789-795 A convolutional approach to quality monitoring for laser manufacturing
by Carlos Gonzalez-Val & Adrian Pallas & Veronica Panadeiro & Alvaro Rodriguez - 797-797 Retraction Note to: Estimation of contact forces of underactuated robotic finger using soft computing methods
by Srđan Jović & Nebojša Arsić & Ljubomir M. Marić & Dalibor Petković
February 2020, Volume 31, Issue 2
- 269-269 Resilient manufacturing
by Andrew Kusiak - 271-284 QFD and Fuzzy Kano model based approach for classification of aesthetic attributes of SUV car profile
by Shwetank Avikal & Rohit Singh & Rashmi Rashmi - 285-300 Condition monitoring and prediction of solution quality during a copper electroplating process
by Gerardo Emanuel Granados & Loïc Lacroix & Kamal Medjaher - 301-317 Ontology-based module selection in the design of reconfigurable machine tools
by Zhenjun Ming & Cong Zeng & Guoxin Wang & Jia Hao & Yan Yan - 319-326 Joint modeling of classification and regression for improving faulty wafer detection in semiconductor manufacturing
by Seokho Kang - 327-350 Fused magnesia manufacturing process: a survey
by Jie Yang & Shaowen Lu & Liangyong Wang - 351-374 Joint optimization of capacity, production and maintenance planning of leased machines
by Zied Hajej & Nidhal Rezg & Tarek Askri - 375-386 A deep neural network for classification of melt-pool images in metal additive manufacturing
by Ohyung Kwon & Hyung Giun Kim & Min Ji Ham & Wonrae Kim & Gun-Hee Kim & Jae-Hyung Cho & Nam Il Kim & Kangil Kim - 387-402 Adapting Thurstone’s Law of Comparative Judgment to fuse preference orderings in manufacturing applications
by F. Franceschini & D. Maisano - 403-415 Failure time prediction using adaptive logical analysis of survival curves and multiple machining signals
by Ahmed Elsheikh & Soumaya Yacout & Mohamed-Salah Ouali & Yasser Shaban - 417-432 Adaptive job shop scheduling strategy based on weighted Q-learning algorithm
by Yu-Fang Wang - 433-452 Intelligent rotating machinery fault diagnosis based on deep learning using data augmentation
by Xiang Li & Wei Zhang & Qian Ding & Jian-Qiao Sun - 453-468 Solar cell surface defect inspection based on multispectral convolutional neural network
by Haiyong Chen & Yue Pang & Qidi Hu & Kun Liu - 469-480 A mechanism for scheduling multi robot intelligent warehouse system face with dynamic demand
by Zhi Li & Ali Vatankhah Barenji & Jiazhi Jiang & Ray Y. Zhong & Gangyan Xu - 481-499 Optimization of cutting conditions using an evolutive online procedure
by Antonio Del Prete & Rodolfo Franchi & Stefania Cacace & Quirico Semeraro - 501-527 A model for assessment of the impact of configuration changes in complex products
by Yu-jie Zheng & Yu Yang & Na Zhang
January 2020, Volume 31, Issue 1
- 1-2 Service manufacturing = Process-as-a-Service + Manufacturing Operations-as-a-Service
by Andrew Kusiak - 3-18 A data-driven cyber-physical approach for personalised smart, connected product co-development in a cloud-based environment
by Pai Zheng & Xun Xu & Chun-Hsien Chen - 19-32 Multi-objective optimization of an engine mount design by means of memetic genetic programming and a local exploration approach
by Alejandro Alvarado-Iniesta & Luis Gonzalo Guillen-Anaya & Luis Alberto Rodríguez-Picón & Raul Ñeco-Caberta - 33-51 A multi-objective hybrid evolutionary approach for buffer allocation in open serial production lines
by Simge Yelkenci Kose & Ozcan Kilincci - 53-72 Establishment of maintenance inspection intervals: an application of process mining techniques in manufacturing
by Edson Ruschel & Eduardo Alves Portela Santos & Eduardo de Freitas Rocha Loures - 73-86 Recurrent feature-incorporated convolutional neural network for virtual metrology of the chemical mechanical planarization process
by Ki Bum Lee & Chang Ouk Kim - 87-102 An approach to design reconfigurable manufacturing tools to manage product variability: the mass customisation of eyewear
by Aurelio Montalto & Serena Graziosi & Monica Bordegoni & Luca Di Landro & Michael Johannes Leonardus Tooren - 103-125 A flexible machine vision system for small part inspection based on a hybrid SVM/ANN approach
by Keyur D. Joshi & Vedang Chauhan & Brian Surgenor - 127-182 Literature review of Industry 4.0 and related technologies
by Ercan Oztemel & Samet Gursev - 183-197 Smart recovery decision-making of used industrial equipment for sustainable manufacturing: belt lifter case study
by Kai Meng & Xiaoming Qian & Peihuang Lou & Jiong Zhang - 199-214 An application to Stereolithography of a feature recognition algorithm for manufacturability evaluation
by Giampaolo Campana & Mattia Mele