Technology enablers for the implementation of Industry 4.0 to traditional manufacturing sectors: A review
暂无分享,去创建一个
Rafael Molina-Carmona | Antonio Jimeno-Morenilla | Vassilis C. Moulianitis | Sofia Kyratzi | Philip N. Azariadis | V. Moulianitis | P. Azariadis | A. Jimeno-Morenilla | Sofia Kyratzi | R. Molina-Carmona
[1] Nikos A. Aspragathos,et al. Intelligent hierarchical robot control for sewing fabrics , 2014 .
[2] Antonio Jimeno-Morenilla,et al. Design of Products Through the Search for the Attractor , 2019, IEEE Access.
[3] A. Villa,et al. SME Innovation and Development in the Context of Industry 4.0 , 2019, Procedia Manufacturing.
[4] Yi Wang,et al. Industry 4.0: a way from mass customization to mass personalization production , 2017 .
[5] Paraskevas Papanikos,et al. Collaborative CAD/CAE as a cloud service , 2017 .
[6] Paraskevas Papanikos,et al. Foot Plantar Pressure Estimation Using Artificial Neural Networks , 2015, PLM.
[7] Sheng Liu,et al. Moving from mass customization to social manufacturing: a footwear industry case study , 2019, Int. J. Comput. Integr. Manuf..
[8] Kun Zhou,et al. Real-Time Collision Detection Method for Fluid and Cloth , 2018 .
[9] Gang Xiong,et al. Social manufacturing for high-end apparel customization , 2018, IEEE/CAA Journal of Automatica Sinica.
[10] Yaodong Gu,et al. Foot shape, perceived comfort, and plantar pressure characteristics during long-distance running , 2017 .
[11] T. Bauernhansl,et al. Development of a Strategic Business Model Framework for Multi-Sided Platforms to Ensure Sustainable Innovation in Small and Medium-Sized Enterprises , 2019, Procedia Manufacturing.
[12] F. A. Pujol,et al. Distributed monitoring of heterogeneous robotic cells. A proposal for the footwear industry 4.0 , 2018, Int. J. Comput. Integr. Manuf..
[13] Diego Rovere,et al. Mini-factories for Close-to-customer Manufacturing of Customized Furniture: From Concept to Real Demo , 2017 .
[14] Antonio Jimeno-Morenilla,et al. Automation of the shoe last grading process according to international sizing systems , 2016 .
[15] Morteza Ghobakhloo,et al. The future of manufacturing industry: a strategic roadmap toward Industry 4.0 , 2018, Journal of Manufacturing Technology Management.
[16] Abbas Ahmadi,et al. A hybrid hierarchical soft computing approach for the technology selection problem in brick industry considering environmental competencies: A case study. , 2019, Journal of environmental management.
[17] John Cosgrove,et al. Steps towards digitization of manufacturing in an SME environment , 2019, Procedia Manufacturing.
[18] Xiaojuan Ma,et al. A Compensation Method of Two-Stage Image Generation for Human-AI Collaborated In-Situ Fashion Design in Augmented Reality Environment , 2018, 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR).
[19] Brian Scassellati,et al. The HRC Model Set for Human-Robot Collaboration Research , 2017, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[20] Pim van der Eijk,et al. Supply chain interoperability for enhancing e-business adoption by SMEs: a case study from the European clothing sector , 2012, Int. J. Bus. Inf. Syst..
[21] Przemysław Zawadzki,et al. Smart product design and production control for effective mass customization in the Industry 4.0 concept , 2016 .
[22] Salah R Agha,et al. Neural network and multiple linear regression to predict school children dimensions for ergonomic school furniture design. , 2012, Applied ergonomics.
[23] José García Rodríguez,et al. Efficient tool path computation using multi-core GPUs , 2013, Comput. Ind..
[24] Joshua M. Pearce,et al. Impact of DIY Home Manufacturing with 3D Printing on the Toy and Game Market , 2017 .
[25] Américo Lopes Azevedo,et al. Interoperability in Collaborative Networks: Independent and industry-specific initiatives - The case of the footwear industry , 2008, Comput. Ind..
[26] George Pallis,et al. Cloud Computing: The New Frontier of Internet Computing , 2010, IEEE Internet Computing.
[27] F. Jolai,et al. Two-stage flow-shop scheduling problem with non-identical second stage assembly machines , 2013 .
[28] Michele Germani,et al. A collaborative web-based platform for the prescription of Custom-Made Insoles , 2017, Adv. Eng. Informatics.
[29] Ercan Öztemel,et al. Literature review of Industry 4.0 and related technologies , 2018, J. Intell. Manuf..
[30] Gert-Peter Brüggemann,et al. COMFORT AND PLANTAR PRESSURE PATTERN DURING RUNNING WITH PREFABRICATED INSOLES , 2016 .
[31] Aydin,et al. Additive Manufacturing: Is It a New Era for Furniture Production?* , 2015 .
[32] Ning Dai,et al. Parallel non-dominated sorting genetic algorithm-II for optimal part deposition orientation in additive manufacturing based on functional features , 2018 .
[33] Gábor Terstyánszky,et al. Validating Scanned Foot Images and Designing Customized Insoles on the Cloud , 2016, 2016 49th Hawaii International Conference on System Sciences (HICSS).
[34] Philip Azariadis. Finite Element Analysis Methods in Footwear Design , 2012 .
[35] Ross A. Knepper,et al. IkeaBot: An autonomous multi-robot coordinated furniture assembly system , 2013, 2013 IEEE International Conference on Robotics and Automation.
[36] Xianyi Zeng,et al. AI for Apparel Manufacturing in Big Data Era: A Focus on Cutting and Sewing , 2018 .
[37] Hyun-Dae Kang. Analysis of Furniture Design Cases Using 3D Printing Technique , 2015 .
[38] Erwin Rauch,et al. Industry sector analysis for the application of additive manufacturing in smart and distributed manufacturing systems , 2017 .
[39] Wenjun Chris Zhang,et al. Big data driven cycle time parallel prediction for production planning in wafer manufacturing , 2018, Enterp. Inf. Syst..
[40] Sibel Kaplan,et al. Thermal comfort performances of cellulosic socks evaluated by a foot manikin system and moisture management tester , 2019, International Journal of Clothing Science and Technology.
[41] Juan Carlos González,et al. Virtual Shoe Test Bed: A Computer-Aided Engineering Tool for Supporting Shoe Design , 2007 .
[42] Shawn H. Chang. Exploring the evolution of additive manufacturing industry : a study of stakeholder requirements and architectural analysis of Desktop three-dimensional printing Segment , 2016 .
[43] Virgilio Cruz-Machado,et al. Scanning the Industry 4.0: A Literature Review on Technologies for Manufacturing Systems , 2019, Engineering Science and Technology, an International Journal.
[44] Klaus-Dieter Thoben,et al. An Ontology Framework for Multisided Platform Interoperability , 2018, I-ESA.
[45] Panagiotis Papagiannis,et al. Integrating modern virtual engineering tools in footwear design and development , 2018, IOP Conference Series: Materials Science and Engineering.
[46] M. A. León-Cabezas,et al. Innovative functionalized monofilaments for 3D printing using fused deposition modeling for the toy industry , 2017 .
[47] Xun Xu,et al. A system framework for OKP product planning in a cloud-based design environment , 2017 .
[48] Christian Huemer,et al. A standards framework for value networks in the context of Industry 4.0 , 2015, 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).
[49] Fiona Charnley,et al. Shoe Lab White Paper , 2016 .
[50] Lei Ren,et al. Cloud manufacturing: a new manufacturing paradigm , 2014, Enterp. Inf. Syst..
[51] Ab Razak Che Hussin,et al. The Organizational Critical Success Factors for Adopting Cloud Computing in SMEs , 2013 .
[52] Jayawickrama Udayangani,et al. Industry 4.0 Elements and Analytics for Garment Assembly Production Lines , 2019, 2019 Moratuwa Engineering Research Conference (MERCon).
[53] Dimosthenis Kontogiorgos,et al. Multimodal Reference Resolution In Collaborative Assembly Tasks , 2018, MA3HMI@ICMI.
[54] Xiaolong Xu,et al. Big data challenges and opportunities in the hype of Industry 4.0 , 2017, 2017 IEEE International Conference on Communications (ICC).
[55] Monika A. Minarcin,et al. Considerations in Collaborative Robot System Designs and Safeguarding , 2016 .
[56] Nikos A. Aspragathos,et al. Upper Layer Extraction of a Folded Garment Towards Unfolding by a Robot , 2018 .
[57] Dandan Xu,et al. Artificial neural networks in the selection of shoe lasts for people with mild diabetes. , 2019, Medical engineering & physics.
[58] Ourania I. Markaki,et al. Empowering Product Co-creation Approaches Through Business Interoperability Concepts: The Toy Industry Case , 2018, I-ESA.
[60] Xian-qing Xiong,et al. Status and Development Trends of Intelligent Manufacturing in China's Furnishings Industry , 2019 .
[61] Steve Marschner,et al. Interactive design of periodic yarn-level cloth patterns , 2018, ACM Trans. Graph..
[62] N. G. Kishore Kumar Reddy,et al. Interactive clothes based on Internet of Things using NFC and mobile application , 2016, 2016 Management and Innovation Technology International Conference (MITicon).
[63] Jiawei Liu,et al. Design of Cloud Platform for Clothing Intelligent Manufacturing Based on RFID Technology , 2019, 2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC).
[64] Wojciech Matusik,et al. Robot Assisted Carpentry for Mass Customization , 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[65] Sylvain Kubler,et al. O-MI/O-DF standards as interoperability enablers for Industrial Internet: A performance analysis , 2016, IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society.
[66] Leanne Luce,et al. Artificial Intelligence for Fashion , 2018, Apress.
[67] Giovanni Danese,et al. A Novel Standard for Footwear Industrial Machineries , 2011, IEEE Transactions on Industrial Informatics.
[68] Paraskevas Papanikos,et al. Definition and evaluation of plantar mechanical comfort for the support of footwear design , 2016 .
[69] Antonio Jimeno-Morenilla,et al. A new methodological approach for shoe sole design and validation , 2016 .
[70] Min Chen,et al. SCAI-SVSC: Smart clothing for effective interaction with a sustainable vital sign collection , 2018, Future Gener. Comput. Syst..
[71] Masahiro Nakamura,et al. Dynamic Optimization Production System Based on Simulation Integrated Manufacturing and its Application to Mass Production , 2017, Int. J. Autom. Technol..
[72] Pieter Abbeel,et al. Learning Robotic Assembly from CAD , 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[73] Ping Li,et al. An Interior Decoration System via Virtual Reality and Artificial Intelligence , 2018, 2018 IEEE International Conference on Progress in Informatics and Computing (PIC).
[74] M. S. Jumani,et al. Cost modelling for fabrication of custom-made foot orthoses using 3D Printing Technique , 2016 .
[75] Nikos A. Aspragathos,et al. Model reference fuzzy learning force control for robotized sewing , 2011, 2011 19th Mediterranean Conference on Control & Automation (MED).
[76] EXPERT SYSTEM TO SELECT THE FABRICS FOR TRANSFORMABLE GARMENTS , 2018 .
[77] Bernd Kuhlenkötter,et al. Evolution of SMEs towards Industrie 4.0 through a scenario based learning factory training , 2018 .
[78] Manuel Mucientes,et al. Machine scheduling in custom furniture industry through neuro-evolutionary hybridization , 2011, Appl. Soft Comput..
[79] Brian Scassellati,et al. Online Development of Assistive Robot Behaviors for Collaborative Manipulation and Human-Robot Teamwork , 2014, AAAI 2014.
[80] Diego Rovere,et al. A Digital Fabrication Infrastructure Enabling Distributed Design and Production of Custom Furniture , 2018 .
[81] Md. Shahriar Jahan Hossain,et al. University hall furniture design based on anthropometry: an artificial neural network approach , 2015 .
[82] Xu Tan,et al. Analysis of production cycle-time distribution with a big-data approach , 2020, J. Intell. Manuf..
[83] Min Chen,et al. Smart Clothing: Connecting Human with Clouds and Big Data for Sustainable Health Monitoring , 2016, Mobile Networks and Applications.
[84] Xuedong Liang,et al. An RFID-based intelligent decision support system architecture for production monitoring and scheduling in a distributed manufacturing environment , 2015 .
[85] Tzvetomir Ivanov Vassilev. Garment Simulation and Collision Detection on a Mobile Device , 2016, Int. J. Mob. Comput. Multim. Commun..
[86] Xian Zhou,et al. Can robots assemble an IKEA chair? , 2018, Science Robotics.
[87] Ajith Abraham,et al. Industry 4.0: A bibliometric analysis and detailed overview , 2019, Eng. Appl. Artif. Intell..
[88] Antonio Jimeno-Morenilla,et al. 3D printing of functional anatomical insoles , 2018, Comput. Ind..
[89] Aloysius K. Mok,et al. A Skill-Based Programming System for Robotic Furniture Assembly , 2018, 2018 IEEE 16th International Conference on Industrial Informatics (INDIN).
[90] Dimitris Mourtzis,et al. Selection and Peer-review under Responsibility of the International Scientific Committee of " 9th Cirp Icme Conference " Cloud-based Integrated Shop-floor Planning and Control of Manufacturing Operations for Mass Customisation , 2022 .
[91] Gang Xiong,et al. A GPU Based Parallel Genetic Algorithm for the Orientation Optimization Problem in 3D Printing* , 2019, 2019 International Conference on Robotics and Automation (ICRA).
[92] Xianyi Zeng,et al. Garment Fit Evaluation Using Machine Learning Technology , 2018 .
[93] Xianyi Zeng,et al. Evaluation of Fashion Design Using Artificial Intelligence Tools , 2018 .
[94] Antonio Jimeno-Morenilla,et al. Footwear bio-modelling: An industrial approach , 2013, Comput. Aided Des..
[95] José García Rodríguez,et al. GNG based foot reconstruction for custom footwear manufacturing , 2016, Comput. Ind..