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Improving the Development Technology of an Oil and Gas Company Using the Minimax Optimality Criterion

Author

Listed:
  • Alex Borodin

    (Department of Finance, Plekhanov Russian University of Economics, 117997 Moscow, Russia)

  • Manuela Tvaronavičienė

    (Vilnius Gediminas Technical University (Vilnius Tech), LT-10223 Vilnius, Lithuania
    Institute of Humanities and Social Sciences, Daugavpils University, Parades Str. 1-421, LV-5401 Daugavpils, Latvia)

  • Irina Vygodchikova

    (Department of Differential Equations & Mathematic Economics, National Research Saratov State University Named after N. G. Chernyshevsky, 410012 Saratov, Russia)

  • Andrey Kulikov

    (Department of Organization of Medical Provision and Pharmacoeconomics, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia)

  • Marina Skuratova

    (Department of Finance, Plekhanov Russian University of Economics, 117997 Moscow, Russia)

  • Natalia Shchegolevatykh

    (Department of Finance, SUEK JSC, 115054 Moscow, Russia)

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.

Suggested Citation

  • Alex Borodin & Manuela Tvaronavičienė & Irina Vygodchikova & Andrey Kulikov & Marina Skuratova & Natalia Shchegolevatykh, 2021. "Improving the Development Technology of an Oil and Gas Company Using the Minimax Optimality Criterion," Energies, MDPI, vol. 14(11), pages 1-17, May.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:11:p:3177-:d:564746
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    References listed on IDEAS

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    Cited by:

    1. Radoslaw Miskiewicz, 2022. "Clean and Affordable Energy within Sustainable Development Goals: The Role of Governance Digitalization," Energies, MDPI, vol. 15(24), pages 1-17, December.
    2. Alex Borodin & Galina Panaedova & Svetlana Frumina & Aidyn Kairbekuly & Natalia Shchegolevatykh, 2021. "Modeling the Business Environment of an Energy Holding in the Formation of a Financial Strategy," Energies, MDPI, vol. 14(23), pages 1-18, December.
    3. Elżbieta Izabela Szczepankiewicz & Windham Eugene Loopesko & Farid Ullah, 2022. "A Model of Risk Information Disclosures in Non-Financial Corporate Reports of Socially Responsible Energy Companies in Poland," Energies, MDPI, vol. 15(7), pages 1-34, April.
    4. Henryk Dzwigol, 2022. "Comparing Idiographic and Nomothetic Approaches in Management Sciences Research," Virtual Economics, The London Academy of Science and Business, vol. 5(4), pages 27-49, December.
    5. Alex Borodin & Vladislav Zaitsev & Zahid F. Mamedov & Galina Panaedova & Andrey Kulikov, 2022. "Mechanisms for Tax Regulation of CO 2 -Equivalent Emissions," Energies, MDPI, vol. 15(19), pages 1-15, September.
    6. Aleksy Kwilinski & Liudmyla Hnatyshyn & Oksana Prokopyshyn & Nataliia Trushkina, 2022. "Managing the Logistic Activities of Agricultural Enterprises under Conditions of Digital Economy," Virtual Economics, The London Academy of Science and Business, vol. 5(2), pages 43-70, September.
    7. Alex Borodin & Manuela Tvaronavičienė & Irina Vygodchikova & Galina Panaedova & Andrey Kulikov, 2021. "Optimization of the Structure of the Investment Portfolio of High-Tech Companies Based on the Minimax Criterion," Energies, MDPI, vol. 14(15), pages 1-11, July.

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