| Issue |
E3S Web Conf.
Volume 371, 2023
International Scientific Conference “Fundamental and Applied Scientific Research in the Development of Agriculture in the Far East” (AFE-2022)
|
|
|---|---|---|
| Article Number | 03006 | |
| Number of page(s) | 8 | |
| Section | Innovations in Environmental Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202337103006 | |
| Published online | 28 February 2023 | |
Sustainable development of facilities based on modeling and optimization of organizational solutions
Don State Technical University, 344002 Rostov-on-Don, Russia
* Corresponding author: georgy-2583@yandex.ru
The author set out to investigate the conditions for the distribution of sustainable development processes based on modeling and optimization of organizational solutions, which will reduce development time and increase production efficiency. The solution to this problem is also largely determined by the timing and quality of technical preparation of production. Improving the quality of technical training leads to a reduction in time and costs for the development and release of new products. At the same time, the annual and quarterly volumes of work at the facilities are determined in accordance with the technology of construction of facilities, taking into account the probabilistic parameters of current plans. The results obtained are the basis for drawing up rational current production programs that contribute to improving the sustainable development of the facility. To achieve this goal, the authors solved the following tasks: to study the prerequisites for improving operational planning; justification of the adopted design decisions.
© The Authors, published by EDP Sciences, 2023
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.