E3S Web Conf.
Volume 255, 2021International Conference on Sustainable, Circular Management and Environmental Engineering (ISCMEE 2021)
|Number of page(s)||8|
|Published online||03 May 2021|
Stochastic model of project implementation of the new generation ecological materials – sulfur polymers in key branches of the economy
1 West-East Consulting, 34 Khreshchatyk str., 01001 Kyiv, Ukraine
2 Taras Shevchenko National University of Kyiv, 64/13, Volodymyrska Street, Kyiv, 01601 Ukraine
* Corresponding author: firstname.lastname@example.org
In the article, the authors propose a stochastic model for the implementation of the project for the introduction of sulfur polymers in key sectors of the Ukrainian economy. A model based on GERT networks and the theory of closed flow graphs allow you to clearly and fully represent the stages, take into account the stochastic nature of both the development process itself (through the use of probabilistic considerations regarding the time of each operation and the reliability of its execution), and the influence of various factors of endo- and exogenous in nature. The project provides for the development and application of ecological polymer composite materials (sulfur asphalt concrete and sulfur concrete) with the introduction of industrial waste, including sulfur-containing ones, to ensure the principles of a circular economy. According to the authors, the project is one of the conditions for stimulating the implementation of strategic directions for the development of the domestic industry on the use of the latest environmental technologies of sulfur polymer materials in the construction of the country’s infrastructure, providing for a reduction in the ecological, carbon, sulfur-containing and material footprint, the transition to environmentally friendly technological solutions, the introduction of principles of circularity of the economy.
© The Authors, published by EDP Sciences, 2021
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.
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