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 | 04020 | |
Number of page(s) | 7 | |
Section | Green Technologies, Climate Change and Environmental Safety and Pollution | |
DOI | https://doi.org/10.1051/e3sconf/202448604020 | |
Published online | 07 February 2024 |
Methodology for selecting objects for reverse engineering at oil and gas industry enterprises
1 The Federal Center of Expertize and Analyzis, 33, p. 4, Talalikhina str., Moscow, 109316, Russia
2 Institute of Astronomy of the Russian Academy of Sciences, 48, Pyatnitskaya str., Moscow, 119017, Russia
3 M.T. Kalashnikov Izhevsk State Technical University, 7, Studencheskaya str., Udmurt Republic, Izhevsk, 426069, Russia
4 Federal state unitary enterprise «All-Russia scientific and research institute «Center», 11, p.1., Sadovaya-Kudrinskaya str., Moscow, 123242, Russia
5 Marine Hydrophysical Institute, Russian Academy of Sciences, 2, Каpitanskaya str., Sevastopol, 299011, Russia
6 Reshetnev Siberian State University of Science and Technology, 31, Krasnoiarskii Rabochii Prospekt, Krasnoyarsk, 660037, Russia
* Corresponding author: kartsan2003@mail.ru
The basic methods of reengineering and the possibility of their application at the enterprises of both oil and gas industry and enterprises of defense-industrial complex under the conditions of ensuring technological independence are presented. The methodology of justification of selection of objects for reverse engineering at the presented enterprises has been developed, including the following criteria: participation of the reverse engineering object in the production of special products, reduction of unit production costs when implementing the reverse engineering object, the share of revenue from products containing the object in the total revenue of the enterprise, the level of import-independence provided by the reverse engineering object. For each criterion, verbal-numerical scales are developed, a complex coefficient is proposed, the values of which are used in making managerial decisions justifying the choice of objects for reverse engineering.
© The Authors, published by EDP Sciences, 2024
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