Issue |
E3S Web Conf.
Volume 486, 2024
IX International Conference on Advanced Agritechnologies, Environmental Engineering and Sustainable Development (AGRITECH-IX 2023)
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Article Number | 03010 | |
Number of page(s) | 8 | |
Section | Information Technologies, Automation Engineering and Digitization of Agriculture | |
DOI | https://doi.org/10.1051/e3sconf/202448603010 | |
Published online | 07 February 2024 |
Resource-based planning strategies
1 Saratov State University of Genetics, Biotechnology and Engineering named after N.I. Vavilov, Saratov, 410012, Russia
2 Kazan State Agrarian University, Kazan, 420015, 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
Issues of energy saving and increasing energy efficiency, being one of the main mechanisms for ensuring sustainable development of the Russian economy, are becoming especially relevant. In this regard, the role of planning energy-saving measures, including the development of resourcebased strategies, is increasing. The article is devoted to the consideration of the current problem of a resource-oriented strategy for multi-project planning. The purpose of the study is related to the presentation of the developed resource-based methods and algorithms. The problem was formulated and formalized using scheduling schemes and priority rules. For numerical experimentation, a prototype of a multi-project planning program and a test task, including 15 projects, were developed. The task contains 450 requests for the implementation of project work, as well as connections between the subsequent/preceding work of each project. The developed program layout, in addition to carrying out calculations using the presented algorithms, visualizes the results of numerical experimentation in the form of Gantt charts and resource consumption diagrams. 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, 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.
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