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Industrial Challenges In Human-Centred Production
2015
Zenodo
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On the way to future Smart Factories the role of people in production plants is becoming increasingly important too. ...
Against this background, a Horizon 2020 project has been launched exploring the future role of the production worker in Smart Factories. ...
The next step consists of a detailed development of several ICT solutions for the introduced challenges which will result in a smart factory solution. ...
doi:10.5281/zenodo.820998
fatcat:7yqt774o4fdntpwggwmnnsisma
Requirements of the Smart Factory System: A Survey and Perspective
2018
Machines
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With the development of Industry 4.0 and the emergence of the smart factory concept, the traditional philosophy of manufacturing systems will change. ...
The smart factory introduces changes to the factors and elements of traditional manufacturing systems and incorporates the current requirements of smart systems so that it can compete in the future. ...
Conflicts of Interest: The authors declare no conflicts of interest. ...
doi:10.3390/machines6020023
fatcat:q2rhpnqmdzcp3lq3oa43y24224
CHARIOT: An IoT Middleware for the Integration of Heterogeneous Entities in a Smart Urban Factory
2017
Position Papers of the 2017 Federated Conference on Computer Science and Information Systems
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An urban smart factory scenario is used to highlight the future IoT requirements and the need for CHARIOT. ...
The massive growth of the number of connected devices with IoT and the diversity of IoT use-cases and services bring significant technical challenges to existing communication network infrastructures, ...
ACKNOWLEDGMENT The work of authors at GT-ARC is supported in part by the German Federal Ministry of Education and Research (BMBF) under the grant number 01IS16045. ...
doi:10.15439/2017f527
dblp:conf/fedcsis/AkpolatSSLA17
fatcat:xdrbcbkhzbfuzai63lnck7s7gy
Semantic Web and Knowledge Graphs for Industry 4.0
2021
Applied Sciences
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This paper surveys the use of the Semantic Web and Knowledge Graphs for I4.0 from different perspectives such as managing information related to equipment maintenance, resource optimization, and the provision ...
Semantic Web including Knowledge Graphs is a promising technology that can play a significant role in realizing I4.0 implementations. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/app11115110
fatcat:gvmzbbx665dt7p7tm7v5ubqnz4
Semantic Interoperability in Heterogeneous IoT Infrastructure for Healthcare
2017
Wireless Communications and Mobile Computing
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A lightweight model for semantic annotation of data using heterogeneous devices in IoT is proposed to provide annotations for data. ...
Interoperability remains a significant burden to the developers of Internet of Things' Systems. ...
Accumulated heart diagnostic measurements of dataset are plotted as shown in Figure 4 . ...
doi:10.1155/2017/9731806
fatcat:yx3nixnx45haxfmkn4hz2v53he
Interoperability in Smart Manufacturing: Research Challenges
2019
Machines
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A better understanding of the subject can be achieved by studying industry-specific communication protocols and their respective logical semantics. ...
Successful implementation of interoperability in smart manufacturing would, thus, result in effective communication and error-prone data-exchange between machines, sensors, actuators, users, systems, and ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/machines7020021
fatcat:7k4nqoohmrc4ta5gwj3anfusbi
SmartFactory—Towards a factory-of-things
2010
Annual Reviews in Control
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The factory-ofthings will be composed of smart objects which interact based on semantic services. ...
In the long run, we aim at a semantic interoperability of the various factory devices. ...
doi:10.1016/j.arcontrol.2010.02.008
fatcat:feo6a3pbyjf63emupejy23s7h4
Implementation and Transfer of Predictive Analytics for Smart Maintenance: A Case Study
2020
Frontiers in Computer Science
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Smart maintenance offers a promising potential to increase efficiency of the maintenance process, leading to a reduction of machine downtime and thus an overall productivity increase in industrial manufacturing ...
While many examples of Predictive Maintenance (PdM) have been proven successful and commercial solutions are offered by machine and part manufacturers, wide-spread implementation of Smart Maintenance solutions ...
This process originates from the implementation experiences of the lighthouse factory of BENTELER Automotive within the BOOST 4.0-Big Data for Factories project. ...
doi:10.3389/fcomp.2020.578469
fatcat:xts2i5vpnvcl5hkiluoitosywq
A Software Factory in the Cloud for Pandemics and other Disasters - Initial Results and Future Directions
2020
2020 IEEE Cloud Summit
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In the same vein, this paper presents initial results from a software factory in the cloud that has produced a Smart Global Village (SGV) with more than 700 smart hubs for 130 countries that span 12 sectors ...
A factory model is needed to rapidly build highly customized solutions very much like the auto factories that build millions of highly customized cars to satisfy needed safety requirements. ...
INITIAL RESULTS -A SMART CITY & COMMUNITIES LAB We have used SPACE as a factory to generate the Smart City & Community (SCC) Lab that consists of a set of Smart Collaborating Hubs (SCHs). ...
doi:10.1109/ieeecloudsummit48914.2020.00018
fatcat:km4ht7u66vdjpgyqdxrkq425xu
Towards Smart Manufacturing with Dynamic Dataspace Alignment
[chapter]
2020
Lecture Notes in Business Information Processing
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The technological foundation of smart manufacturing consists of cyber-physical systems and the Internet-of-Things (IoT). ...
We leverage the fact that each IoT device in a smart factory can be coupled with a digital twin -that is, a software artefact that faithfully represents the physical system using real-time sensor data ...
The work of Francesco Leotta and Massimo Mecella has been also partly supported by the research contract with Rota Laser Dies. ...
doi:10.1007/978-3-030-49165-9_5
fatcat:yvgq7bazlveu7eomk2exfidvhm
Integrated and Personalised Risk Management in the Sensing Enterprise
[chapter]
2012
Risk Management - Current Issues and Challenges
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The authors wish to acknowledge the CDTI and the Ministry of Innovation for their support.
References ...
Acknowledgement This work has been partly funded by the CDTI through CENIT Project FASyS: Absolutely Safe and Healthy Factory (No. CEN-20091034) . ...
The
Smart object semantic representation Regarding semantics, a traversal control plane has been included in the architecture. ...
doi:10.5772/50275
fatcat:h66s4npawnhcjiz7dqe6hzo7x4
Predictive Maintenance and Intelligent Sensors in Smart Factory: Review
2021
Sensors
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With the arrival of new technologies in modern smart factories, automated predictive maintenance is also related to production robotisation. ...
The paper's main contribution is the summary and overview of current trends in intelligent sensors used for predictive maintenance in smart factories. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s21041470
pmid:33672479
fatcat:dsxom66i2ne3han22y7f5z6p5y
Centralized, decentralized, hybrid principles of cyber-physical systems control of the Industry 4.0
2019
Journal of Physics, Conference Series
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of Ethernet and Internet of Things. ...
Advantages and disadvantages of each option are described for the computerized control system building. ...
) and on the vertical level (unification of calculation nets from different smart factories into a single net of a virtual factory with the same cloud services and applications) which provides the CPS ...
doi:10.1088/1742-6596/1353/1/012143
fatcat:hoxzzu6manaofoddzapzolkmqa
THE CURRENT STATUS AND RESEARCH IN INDUSTRIAL BIG DATA ANALYSIS IN SMART INTELLIGENT SYSTEMS
2017
International Journal of Advanced Research in Computer Science
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diagnostic methods on production lines based on the research status and the problems based deep learning among devices based on cloud supplements and 3D self-organized reconfiguration mechanism based ...
on the supplements of cloud. ...
Here, The figure 1 below shows the key technologies for Big data analysis in smart factory. ...
doi:10.26483/ijarcs.v8i8.4859
fatcat:tla3nrs2bvdaxmngwupmxcxqea
Assessment Framework of Smart Shipyard Maturity Level via Data Envelopment Analysis
2021
Sustainability
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In this study, through a technical demand survey of the shipbuilding industry and an investigation of existing smart manufacturing and smart factories, the keywords of connectivity, automation, and intelligence ...
were derived and based on these keywords, we developed a new diagnostic framework for smart shipyard maturity level assessment. ...
It was defined as a factory of the future and factory-of-things "composed of smart objects which interact based on semantic services," and emphasized that, rather than a hierarchy in the traditional sense ...
doi:10.3390/su13041964
fatcat:axxttyxsczcfbnh7mzkiytwcky
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