Record link: 
http://hdl.handle.net/20.500.12708/176320
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Title: 
Smart Factories: A Review of Situation, and Recommendations to Accelerate the Evolution Process
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Citation: 
Sen, Ö., Durakbasa, M. N., Baysal, M. V., Sen, G., & Bas, G. (2018). Smart Factories: A Review of Situation, and Recommendations to Accelerate the Evolution Process. In N. M. Durakbasa & M. G. Gençyılmaz (Eds.), Proceedings of the International Symposium for Production Research 2018 (pp. 464–479). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-319-92267-6_40
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Publisher DOI: 
10.1007/978-3-319-92267-6_40
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Publication Type: 
Inproceedings - Full-Paper Contribution
en
Authors: 
Sen, Öncü 
Durakbasa, M. Numan 
Baysal, Merve Vildan 
Sen, Gizem 
Bas, Gökcen 
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Organisational Unit: 
E311-01-4 - Forschungsgruppe Fertigungsmesstechnik und adaptronische Systeme 
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Published in: 
Proceedings of the International Symposium for Production Research 2018 
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ISBN: 
978-3-319-92267-6
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DOI of the book: 
10.1007/978-3-319-92267-6
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Date (published): 
2018
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Event name: 
International Symposium for Production Research 2018 
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Event date: 
28-Aug-2018 - 31-Aug-2018
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Event place: 
Wien, Austria
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Number of Pages: 
16
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Publisher: 
Springer Nature Switzerland AG
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Peer reviewed: 
Yes
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Keywords: 
Industry 4.0; Smart factory; Priority areas
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Abstract: 
Smart factory has become increasingly important in the last years as an indispensable manufacturing model of the future. In this context, studies on the development of technologies in the field of smart factory systems intensively continue in the world. Turkey is also trying to contribute through national grant mechanisms to encourage technology development efforts in this area. In this study, the situation of smart factory system technologies in Turkey has been explained. By examining the academic studies and by carrying out a ques- tionnaire study to companies and academicians studying in this field, sugges- tions are made about which of the smart factory system technologies should be given priority to gain momentum in this field.
en
Research Areas: 
Digital Transformation in Manufacturing: 60%
Automation and Robotics: 20%
Mathematical and Algorithmic Foundations: 20%
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Science Branch: 
Maschinenbau
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Appears in Collections:
Conference Paper

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