Industry 4.0 Perception Regarding to New Developments and New Trends of Industries
Abstract
Keywords
References
- Abele, E. and Reinhart, G. (2011). Zukunft der Produktion, Carl Hanser Verlag GMBH & München
- Adolph, S., Tisch, M. and Metternich, J. (2014). Challenges and approaches to competency development for future production. Educ. Altern. 12, 1001–1010.
- Aheleroff, S., Xua , X., Lua, Y., Aristizabalb, M., Velásquez, J.P., Joab, B. and Valenciab, Y. (2020). IoT-enabled smart appliances under industry 4.0: A case study, Advanced Engineering Informatics, 43, 101043.
- Amaral, A., Jorge, D. and Peças, P. (2019). Small Medium Enterprises And Industry 4.0: Current Models’ Ineptitude And The Proposal Of A Methodology To Successfully Implement Industry 4.0 In Small Medium Enterprises. Procedia Manufacturing, 41, 1103–1110. doi:10.1016/j.promfg.2019.10.039.
- Alborzi, M. and Khanbabaei, M. (2016). Using data mining and neural networks techniques to propose a new hybrid customer behaviour analysis and credit scoring model in banking services based on a developed RFM analysis method. International Journal of Business Information Systems, 23(1), 1-22.
- Bahrin, M.A.K., Othman, M.F., Azli, N.H.N. and Talib, M.F. (2016). Industry 4.0: a review on industrial automation and robotic, Jurnal Teknologi, 78, 6–13.
- Bauer, W., Hämmerle, M., Schlund, S. and Vocke, C. (2015). Transforming to a hyper-connected society and economy – towards an “Industry 4.0.”. Procedia Manuf. 3, 417–424. https://doi.org/10.1016/j.promfg.2015.07.200.
- Bravi, L. and Murmura, F. (2021). Industry 4.0 enabling technologies as a tool for the development of a competitive strategy in Italian manufacturing companies, Journal of Engineering and Technology Management. April-June 2021, 60, DOI: 10.1016/j.jengtecman.2021.101629.
Details
Primary Language
English
Subjects
Engineering
Journal Section
Research Article
Authors
Ayşenur Erdil
*
0000-0002-6413-7482
Türkiye
Publication Date
November 30, 2021
Submission Date
September 15, 2021
Acceptance Date
September 16, 2021
Published in Issue
Year 2021 Number: 28
Cited By
Performance Analysis of Embedded Multilayer Perceptron Artificial Neural Networks on Smart Cyber-Physical Systems for IoT Environments
Sensors
https://doi.org/10.3390/s23156935An Evaluation of Industry 4.0 Capabilities for Sustainable Innovation in Food Sector
International Journal of Applied Sciences & Development
https://doi.org/10.37394/232029.2024.3.27