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Artificial-Intelligence-Driven Customized Manufacturing Factory: Key Technologies, Applications, and Challenges

Jiafu Wan, Xiaomin Li, Hong-Ning Dai, Andrew Kusiak, Miguel Martinez-Garcia, Di Li
2020 Proceedings of the IEEE  

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2021 pre-print arXiv:2108.03383v1 fatcat:7cbkssngwjdy5dmsiwyo6hh5vq
., machine learning, multi-agent systems, Internet of Things, big data, and cloud-edge computing are surveyed.  ...  Details of intelligent manufacturing devices, intelligent information interaction, and construction of a flexible manufacturing line are showcased.  ...  Intelligent sensing based on edge AI computing.  ... 
doi:10.1109/jproc.2020.3034808 fatcat:bpljlzguqjhypedblczhmch2uq
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Jiafu Wan, Xiaomin Li, Hong-Ning Dai, Andrew Kusiak, Miguel Martinez-Garcia, Di Li. "Artificial-Intelligence-Driven Customized Manufacturing Factory: Key Technologies, Applications, and Challenges." Proceedings of the IEEE 109.4 (2020) 1-22

Industry 4.0 smart reconfigurable manufacturing machines

Jeff Morgan, Mark Halton, Yuansong Qiao, John G. Breslin
2021 Journal of manufacturing systems  

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Uniquely, this paper establishes a vision for next-generation Industry 4.0 manufacturing machines, which will exhibit extraordinary Smart and Reconfigurable (SR*) capabilities.  ...  and machine intelligence.  ...  Acknowledgments This publication has emanated from research supported in part by a research grant from Science Foundation Ireland (SFI) under Grant Number SFI 16/RC/3918 (Confirm SFI Research Centre for  ... 
doi:10.1016/j.jmsy.2021.03.001 fatcat:sv3e4hyiefbbvhqxttwo3n6vr4
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Jeff Morgan, Mark Halton, Yuansong Qiao, John G. Breslin. "Industry 4.0 smart reconfigurable manufacturing machines." Journal of manufacturing systems (2021) 481-506

Big data driven edge-cloud collaboration architecture for cloud manufacturing: a software defined perspective

Chen Yang, Shulin Lan, Lihui Wang, Weiming Shen, George Q. Huang
2020 IEEE Access  

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This paper proposes an open evolutionary architecture of the intelligent cloud manufacturing system with collaborative edge and cloud processing.  ...  on shop floors; 2) existing manufacturing systems lack enough reconfigurability, openness and evolvability to deal with shop-floor disturbances and market changes; and 3) big data from shop-floors and  ...  [14] put forward a cloud-based approach for condition-based preventive maintenance of machine tools, providing a near real-time reporting service on machine remaining operating time, based on shop floor  ... 
doi:10.1109/access.2020.2977846 fatcat:zsrf52qhyvd7zi6zghstoiht7a
DOAJ
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Chen Yang, Shulin Lan, Lihui Wang, Weiming Shen, George Q. Huang. "Big data driven edge-cloud collaboration architecture for cloud manufacturing: a software defined perspective." IEEE Access (2020) 1-1

Artificial Intelligence-Based Decision-Making Algorithms, Internet of Things Sensing Networks, and Deep Learning-Assisted Smart Process Management in Cyber-Physical Production Systems

Mihai Andronie, George Lăzăroiu, Mariana Iatagan, Cristian Uță, Roxana Ștefănescu, Mădălina Cocoșatu
2021 Electronics  

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processes", and "sustainable Internet of Things-based manufacturing systems".  ...  manufacturing systems", "smart process manufacturing", "smart industrial manufacturing processes", "networked manufacturing systems", "industrial cyber-physical systems," "smart industrial production  ...  Manufacturing process monitoring systems have advanced as decentralized reconfigurable networked entities by use of cutting-edge intelligent machines.  ... 
doi:10.3390/electronics10202497 fatcat:rryhw72fhvalloix23qkxwh4ca
DOAJ
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Mihai Andronie, George Lăzăroiu, Mariana Iatagan, Cristian Uță, Roxana Ștefănescu, Mădălina Cocoșatu. "Artificial Intelligence-Based Decision-Making Algorithms, Internet of Things Sensing Networks, and Deep Learning-Assisted Smart Process Management in Cyber-Physical Production Systems." Electronics 10.20 (2021) 2497

A Review of 4IR/5IR Enabling Technologies and Their Linkage to Manufacturing Supply Chain

Mokesioluwa Fanoro, Mladen Božanić, Saurabh Sinha
2021 Technologies  

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Likewise, a review of the fifth industrial revolution is given, and the justification for this development is presented.  ...  A brief discussion maps out how the fourth industrial revolution has led to novel manufacturing technologies.  ...  The six manufacturing categories are intelligent manufacturing, cloud-based smart manufacturing, IoT-based smart manufacturing, flexible manufacturing, reconfigurable manufacturing, and traditional manufacturing  ... 
doi:10.3390/technologies9040077 fatcat:cq6odciabrbvnccqbv4vnl7jze
DOAJ
Citation

Mokesioluwa Fanoro, Mladen Božanić, Saurabh Sinha. "A Review of 4IR/5IR Enabling Technologies and Their Linkage to Manufacturing Supply Chain." Technologies 9.4 (2021) 77

SA 2019 Placeholder Page

2019 2019 First International Conference on Societal Automation (SA)  

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In this paper we tangle with the mechanisms and solutions of transferring intelligence to the IoT edge level and we document existing approaches on how to include hardware reconfigurability on the edge  ...  We showcase this technology by proposing a design approach and a relevant architecture that can be used in order to program/reconfigure the hardware and software of IoT end Nodes using IP core hardware  ...  Action for the Strategic Development on the Research and Technological Sector, funded by the Operational Programme "Competitiveness, Entrepreneurship and Innovation" (NSRF 2014-2020) and co-financed by  ... 
doi:10.1109/sa47457.2019.8938038 fatcat:463hphhfafddpmroyoy2ximv3e
Citation

"SA 2019 Placeholder Page." 2019 First International Conference on Societal Automation (SA) (2019)

Edge Computing Applied to Industrial Machines

Anderson Carvalho, Niall O' Mahony, Lenka Krpalkova, Sean Campbell, Joseph Walsh, Pat Doody
2019 Procedia Manufacturing  

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intelligence on edge solutions, forming a new source of "smart capabilities" to existing environments.  ...  intelligence on edge solutions, forming a new source of "smart capabilities" to existing environments.  ...  Based on LSTM [17] . Using a more practical approach, F. Xiong et al. explains that assuming there is a sequence of tasks to learn, for simplicity, we only consider two tasks A and B here.  ... 
doi:10.1016/j.promfg.2020.01.024 fatcat:wf3afobrrvdpppnjvpyhn5vfu4
Open Access
Citation

Anderson Carvalho, Niall O' Mahony, Lenka Krpalkova, Sean Campbell, Joseph Walsh, Pat Doody. "Edge Computing Applied to Industrial Machines." Procedia Manufacturing (2019) 178-185

2020 Index IEEE Journal on Selected Areas in Communications Vol. 38

2020 IEEE Journal on Selected Areas in Communications  

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., +, J-SAC Sept. 2020 2215-2226 Divide and conquer methods On Reconfiguring 5G Network Slices.  ...  ., +, J-SAC June 2020 1218-1228 Adaptive Positioning Systems Based on Multiple Wireless Interfaces for Industrial IoT in Harsh Manufacturing Environments.  ... 
doi:10.1109/jsac.2020.3040054 fatcat:amlms4xhs5a3hgnldh4bahb2wu
Citation

"2020 Index IEEE Journal on Selected Areas in Communications Vol. 38." IEEE Journal on Selected Areas in Communications 38.12 (2020) 1-41

IEEE Access Special Section Editorial: Artificial Intelligence in Parallel and Distributed Computing

Songwne Pei, Junjie Wu, Tao Li, Yong Chen, Stephane Zuckerman
2021 IEEE Access  

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control method with an intelligent migration mechanism based on sensing cloudcomputing.  ...  In the article ''CSR-IM: Compressed sensing routingcontrol-method with intelligent migration-mechanism based on sensing cloud-computing,'' by Sun et al., the authors proposed a compressed sensing routing  ... 
doi:10.1109/access.2020.3048598 fatcat:dfj2ja4glzhyphng56fkrahtxq
DOAJ
Citation

Songwne Pei, Junjie Wu, Tao Li, Yong Chen, Stephane Zuckerman. "IEEE Access Special Section Editorial: Artificial Intelligence in Parallel and Distributed Computing." IEEE Access (2021) 9535-9538

Cloud-Edge Collaboration-Based Knowledge Sharing Mechanism for Manufacturing Resources

Xixiang Wang, Jiafu Wan
2021 Applied Sciences  

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This paper proposes a mechanism for knowledge sharing between manufacturing resources that is based on cloud-edge collaboration.  ...  and the edge.  ...  Acknowledgments: The authors thank Guangdong Provincial Key Laboratory of Technique and Equipment for Macromolecular Advanced Manufacturing.  ... 
doi:10.3390/app11073188 fatcat:3ggntaw3erewvddo67jj3s7op4
DOAJ
Citation

Xixiang Wang, Jiafu Wan. "Cloud-Edge Collaboration-Based Knowledge Sharing Mechanism for Manufacturing Resources." Applied Sciences (2021) 3188

Research toward IoT and Robotics in Intelligent Manufacturing: A Survey

Xuejun J. Liu, University of Wisconsin-Stout, Menomonie, WI 54751 USA
2019 International Journal of Materials Mechanics and Manufacturing  

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This survey examines how the merger of robotic and Internet of Things technologies will advance intelligent manufacturing, thus enabling the creation of new, potentially disruptive services.  ...  Index Terms-Internet of things, manufacturing robotics, autonomous systems, intelligent manufacturing, internet of Robotic Things (IoRT), FANUC robot.  ...  Higher Level Abilities 1) Decisional autonomy Some researchers use Artificial Intelligence (AI) planning techniques for task allocation (TA) in manufacturing industry based on predictive models of manufacturing  ... 
doi:10.18178/ijmmm.2019.7.3.445 fatcat:wctsy6gyg5bphejvjm2fvzs52m
Citation

Xuejun J. Liu, University of Wisconsin-Stout, Menomonie, WI 54751 USA. "Research toward IoT and Robotics in Intelligent Manufacturing: A Survey." International Journal of Materials Mechanics and Manufacturing 7.3 (2019) 128-132

Guest Editorial Special Issue on Emerging Trends and Challenges in Fog Computing for IoT

Constandinos X. Mavromoustakis, Mithun Mukherjee, George Mastorakis, Houbing Song, Maria Gorlatova, Mohammad Aazam
2020 IEEE Internet of Things Journal  

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., and M.Eng.  ...  London, U.K., and the Ph.D. degree from  ...  The article "A reconfigurable method for intelligent manufacturing based on industrial cloud and edge intelligence" by Tang et al. introduces a cloud-assisted and edge-decisionmaking manufacturing architecture  ... 
doi:10.1109/jiot.2020.2982520 fatcat:ifdsxh7jkff3dinv2wje6dboci
Citation

Constandinos X. Mavromoustakis, Mithun Mukherjee, George Mastorakis, Houbing Song, Maria Gorlatova, Mohammad Aazam. "Guest Editorial Special Issue on Emerging Trends and Challenges in Fog Computing for IoT." IEEE Internet of Things Journal 7.5 (2020) 4155-4159

Decentralized Self-Organizing Networks for Poor Reconfigurability of Loom Networks

Yanjun Xiao, Lun Xiong, Kuan Wang, Furong Han, Wei Zhou, Weiling Liu, Nan Gao
2022 IEEE Access  

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meet the network demand of intelligent manufacturing for loom equipment.  ...  The intelligent weaving of looms requires networking and intelligent industrial production systems that use industrial equipment with network communication and data computing, creating a "smart factory  ...  Existing network connection methods of looms cannot meet the requirements of flexible and reconfigurable network connections for intelligent weaving.  ... 
doi:10.1109/access.2022.3173415 fatcat:xkbalijqvzb65ba7bjimrnftu4
DOAJ
Citation

Yanjun Xiao, Lun Xiong, Kuan Wang, Furong Han, Wei Zhou, Weiling Liu, Nan Gao. "Decentralized Self-Organizing Networks for Poor Reconfigurability of Loom Networks." IEEE Access (2022) 50487-50499

Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface [article]

Kai Yang, Yuanming Shi, Yong Zhou, Zhanpeng Yang, Liqun Fu, Wei Chen
2020 arXiv   pre-print

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To this end, federated machine learning, as a disruptive technology, is emerged to distill intelligence from the data at network edge, while guaranteeing device privacy and data security.  ...  In this article, we shall develop an over-the-air computation based communication-efficient federated machine learning framework for intelligent IoT networks via exploiting the waveform superposition property  ...  Being able to interactively react to unexpected events, IoRT has wide applications in many manufacturing industries, including precision agriculture and industrial IoT.  ... 
arXiv:2004.05843v1 fatcat:dlzrbcjqfzf5dmlvvf7w6hshuu
Citation

Kai Yang, Yuanming Shi, Yong Zhou, Zhanpeng Yang, Liqun Fu, Wei Chen. "Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface." arXiv (2020)

Study on the Digital Intelligent Diagnosis of Miniature Machine Tools

Tzu-Chi Chan, Ze-Kai Jian, Yu-Chuan Wang
2021 Applied Sciences  

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Several industries are currently focusing on smart technologies, high customization, and the integration of solutions. This study focuses on the intelligent diagnosis of digital small machine tools.  ...  This research provides a feasible method for monitoring machine health. We believe that the intelligent functions of machine tools will continue to increase in the future.  ...  Acknowledgments: The authors are greatly indebted to the Precision Machinery Research and development Center and Smart Machinery Promotion Office.  ... 
doi:10.3390/app11188372 fatcat:mylozawegzg2blucoasvp45ace
DOAJ
Citation

Tzu-Chi Chan, Ze-Kai Jian, Yu-Chuan Wang. "Study on the Digital Intelligent Diagnosis of Miniature Machine Tools." Applied Sciences 11.18 (2021) 8372

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