Issue |
E3S Web of Conf.
Volume 537, 2024
International Scientific and Practical Conference “Sustainable Development of the Environment and Agriculture: Green and Environmental Technologies” (SDEA 2024)
|
|
---|---|---|
Article Number | 07010 | |
Number of page(s) | 5 | |
Section | Resource Conservation and Provision of Rational Consumption and Production Models | |
DOI | https://doi.org/10.1051/e3sconf/202453707010 | |
Published online | 13 June 2024 |
Smart factories and their impact on modern manufacturing enterprises: Prospects and challenges in the era of the digital economy
1 Kadyrov Chechen State University, Grozny, Russia
2 Kazan Federal University, Kazan, Russia
3 Azerbajan University of Architecture and Construction, Baku, Azerbayjan
* Corresponding author: heda_musaeva_997@mail.ru
The advent of smart factories marks a significant shift in modern manufacturing, driven by the integration of advanced digital technologies and automation into production processes. This paper explores the prospects and challenges associated with smart factories in the context of the digital economy. Smart factories leverage technologies such as the Internet of Things (IoT), artificial intelligence (AI), big data analytics, and robotics to enhance efficiency, flexibility, and productivity in manufacturing operations. By connecting machines, sensors, and systems in a seamless network, smart factories enable real-time monitoring, analysis, and optimization of production processes. The potential benefits of smart factories are vast, including increased production efficiency, reduced downtime, improved quality control, and enhanced resource utilization. Moreover, the adoption of smart manufacturing practices can lead to cost savings, faster time-to-market, and greater customization capabilities, enabling manufacturing enterprises to stay competitive in today's dynamic market landscape. However, the transition to smart factories also presents various challenges and considerations. These include the need for significant investments in technology infrastructure and workforce upskilling, as well as concerns related to data security, privacy, and interoperability.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.