Issue |
E3S Web of Conf.
Volume 443, 2023
II International Conference on Environmental Technologies and Engineering for Sustainable Development (ETESD-II 2023)
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|
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Article Number | 06005 | |
Number of page(s) | 7 | |
Section | Computing, Mathematics, Cybernetics, Information and Earth Space Sensing Systems for Sustainable Development | |
DOI | https://doi.org/10.1051/e3sconf/202344306005 | |
Published online | 09 November 2023 |
Digitalization of process management in the agro-industrial complex
1 National Research Moscow State University of Civil Engineering, Moscow, 129337, Russia
2 Saratov State University of Genetics, Biotechnology and Engineering named after N.I. Vavilov, Saratov, 410012, Russia
3 Saint Petersburg State University of Architecture and Civil Engineering, Saint Petersburg, 190005, Russia
4 Kazan Federal University, Kazan, 420008, Russia
* Corresponding author: nklevansky@yandex.ru
The article is devoted to the consideration of the current problem of developing heuristic approaches in operational scheduling of production processes. The purpose of the study is related to the development of methods and algorithms for generating schedules for an arbitrary number of request vectors. The problem was formulated and formalized using scheduling schemes and priority rules. For numerical experimentation, a model of a program for generating a railway schedule and a test task were developed, including 4573 applications for weekly schedules of a railway network containing 100 stations, 128 hauls between stations, 100 passenger routes of different frequencies, 471 trains per week. The developed program model, in addition to carrying out calculations using the presented algorithms, visualizes the results of numerical experimentation in the form of spiral representations of station and haul schedules. The performance of the developed methods and algorithms has been confirmed. Conclusions and discussion of the study results are presented.
© 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.
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