dc.contributor.author | Borodin, Alex | |
dc.contributor.author | Tvaronavičienė, Manuela | |
dc.contributor.author | Vygodcyikova, Irina | |
dc.contributor.author | Kulikov, Andrey | |
dc.contributor.author | Skuratova, Marina | |
dc.contributor.author | Shchegolevatykh, Natalia | |
dc.date.accessioned | 2023-09-18T20:44:42Z | |
dc.date.available | 2023-09-18T20:44:42Z | |
dc.date.issued | 2021 | |
dc.identifier.other | (WOS_ID)000659842100001 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/152266 | |
dc.description.abstract | The article deals with the problem of adaptation of the Russian oil and gas company (Novatek, Russia) to the rapidly changing external environment, the avalanche of data from competitors, and the need to filter important information for business development and the prosperity of the industry as a whole. The approach is based on the system of integrated software monitoring of key business processes at the enterprise developed by the authors—from the formation of the idea of a new product to its implementation to paying customers. The scientific novelty lies in the use of an optimization model that allows for minimizing the maximum losses of the investor at all levels of decision-making, from the distribution of capital between companies, to the optimization of internal reserves to increase the competitiveness of the company. The toolkit is a minimax model that allows you to redistribute the shares of investor influence at the portfolio level, and then within the business processes of each company selected by investors, in order to achieve the optimal solution in accordance with the selected estimated indicators. Application of the well-known portfolio investment models of Markowitz, Tobin, Sharp, etc. is not possible due to the lack of necessary data on the basis of which the probabilistic parameters involved in the model are estimated. Even if we get them, it is necessary to take into account the level of correlation influence of the technological process in the composition of each subsystem, which is unacceptable for the data used, as it leads to a strong increase in errors. Using minimax and a systematic approach allows you to minimize such errors by choosing a balanced concentration of distributed assets for both the investor and the buyer. To this end, a three-way analysis of the company’s development was carried out and a technology for comprehensive improvement of the company’s activities was developed in the following areas: the company’s rating in the industry, financial condition, and interaction with counterparties using merchandising technologies. Tools for optimal image zoning at the Novatek site using the minimax approximation criterion have been developed. The technology provides a procedure for creating a comfortable mode of image perception based on high-tech visualization of merchandising, zoning of the screen area, and a mathematical approach that allows you to develop a calculation algorithm. | eng |
dc.format | PDF | |
dc.format.extent | p. 1-17 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | Science Citation Index Expanded (Web of Science) | |
dc.relation.isreferencedby | DOAJ | |
dc.relation.isreferencedby | Scopus | |
dc.source.uri | https://doi.org/10.3390/en14113177 | |
dc.title | Improving the development technology of an oil and gas company using the minimax optimality criterion | |
dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
dcterms.accessRights | This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). | |
dcterms.references | 39 | |
dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
dc.contributor.institution | Plekhanov Russian University of Economics, Moscow | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas Daugavpils University | |
dc.contributor.institution | National Research Saratov State University Named after N. G. Chernyshevsky | |
dc.contributor.institution | I.M. Sechenov First Moscow State Medical University | |
dc.contributor.institution | Plekhanov Russian University of Economics | |
dc.contributor.institution | SUEK JSC, Moscow | |
dc.contributor.faculty | Verslo vadybos fakultetas / Faculty of Business Management | |
dc.subject.researchfield | S 004 - Ekonomika / Economics | |
dc.subject.vgtuprioritizedfields | EV02 - Aukštos pridėtinės vertės ekonomika / High Value-Added Economy | |
dc.subject.ltspecializations | L102 - Energetika ir tvari aplinka / Energy and a sustainable environment | |
dc.subject.en | oil and gas industry | |
dc.subject.en | investments | |
dc.subject.en | rating | |
dc.subject.en | competitiveness | |
dc.subject.en | financial analysis | |
dc.subject.en | risk | |
dc.subject.en | profitability | |
dc.subject.en | merchandising technologies | |
dcterms.sourcetitle | Energies: Special Issue Innovation in Energy Security and Long-Term Energy Efficiency Ⅱ | |
dc.description.issue | iss. 11 | |
dc.description.volume | vol. 14 | |
dc.publisher.name | MDPI | |
dc.publisher.city | Basel | |
dc.identifier.doi | 000659842100001 | |
dc.identifier.doi | 10.3390/en14113177 | |
dc.identifier.elaba | 98229162 | |