Rodyti trumpą aprašą

dc.contributor.authorBorodin, Alex
dc.contributor.authorTvaronavičienė, Manuela
dc.contributor.authorVygodcyikova, Irina
dc.contributor.authorKulikov, Andrey
dc.contributor.authorSkuratova, Marina
dc.contributor.authorShchegolevatykh, Natalia
dc.date.accessioned2023-09-18T20:44:42Z
dc.date.available2023-09-18T20:44:42Z
dc.date.issued2021
dc.identifier.other(WOS_ID)000659842100001
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/152266
dc.description.abstractThe 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.formatPDF
dc.format.extentp. 1-17
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.relation.isreferencedbyDOAJ
dc.relation.isreferencedbyScopus
dc.source.urihttps://doi.org/10.3390/en14113177
dc.titleImproving the development technology of an oil and gas company using the minimax optimality criterion
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsThis 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.references39
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionPlekhanov Russian University of Economics, Moscow
dc.contributor.institutionVilniaus Gedimino technikos universitetas Daugavpils University
dc.contributor.institutionNational Research Saratov State University Named after N. G. Chernyshevsky
dc.contributor.institutionI.M. Sechenov First Moscow State Medical University
dc.contributor.institutionPlekhanov Russian University of Economics
dc.contributor.institutionSUEK JSC, Moscow
dc.contributor.facultyVerslo vadybos fakultetas / Faculty of Business Management
dc.subject.researchfieldS 004 - Ekonomika / Economics
dc.subject.vgtuprioritizedfieldsEV02 - Aukštos pridėtinės vertės ekonomika / High Value-Added Economy
dc.subject.ltspecializationsL102 - Energetika ir tvari aplinka / Energy and a sustainable environment
dc.subject.enoil and gas industry
dc.subject.eninvestments
dc.subject.enrating
dc.subject.encompetitiveness
dc.subject.enfinancial analysis
dc.subject.enrisk
dc.subject.enprofitability
dc.subject.enmerchandising technologies
dcterms.sourcetitleEnergies: Special Issue Innovation in Energy Security and Long-Term Energy Efficiency Ⅱ
dc.description.issueiss. 11
dc.description.volumevol. 14
dc.publisher.nameMDPI
dc.publisher.cityBasel
dc.identifier.doi000659842100001
dc.identifier.doi10.3390/en14113177
dc.identifier.elaba98229162


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