Issue |
E3S Web Conf.
Volume 258, 2021
Ural Environmental Science Forum “Sustainable Development of Industrial Region” (UESF-2021)
|
|
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Article Number | 09062 | |
Number of page(s) | 10 | |
Section | Energy Efficiency in Construction | |
DOI | https://doi.org/10.1051/e3sconf/202125809062 | |
Published online | 20 May 2021 |
Automation of production programs by setting conditions of stabilization of the planned system
Moscow State University of Civil Engineering, 129337, Moscow, Russia
* Corresponding author: aljurgaitis@gmail.com
Formation of a production program is a time-consuming variable problem. To solve it, many conditions and constraints must be taken into account. Computer power allows one to quickly and accurately solve problems with many variables, unlike a person who relies on his intuition and experience. The following materials and methods were used: collection and analysis of data from construction companies of various sizes, mathematical modeling of the processes of distributing labor resources, graphic interpretation of information, computer modeling. The stages of the problem statement: description of the organizational and technological problem of distributing labor resources, mathematical formulation, modeling and algorithmization using well-known metaheuristic approaches. In the course of solving the problem, a genetic algorithm was used that allows one to quickly find solutions in equations with many variables. The following constraints were determined: deadlines, maximum and minimum number of workers at the facility, minimum number of transfer of resources, minimum involvement of a subcontractor. As a result, all the necessary mathematical models and initial data for the development of a computer program for the automated distribution of labor resources among the facilities of the production program of the construction and installation organization were obtained.
© 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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