scholarly journals Multicriteria optimization of oil and gas enterprises financial stability using the genetic algorithm method

2021 ◽  
Vol 107 ◽  
pp. 06005
Author(s):  
Marta Shkvaryliuk ◽  
Liliana Horal ◽  
Inesa Khvostina ◽  
Natalia Yashcheritsyna ◽  
Vira Shiyko

The article considers the problem of optimizing the financial condition of oil and gas companies. The offered methods of optimization of a financial condition by scientists from different countries are investigated. It is determined that the financial condition of the enterprise depends on the effectiveness of the risk management system of enterprises. It is proved that the enterprises of the oil and gas complex need to develop a system for risk management to ensure the appropriate financial condition. The financial condition is estimated according to the system of certain financial indicators, the integrated indicator of financial condition assessment is constructed using the method of taxonomy. According to the results of the calculation of the integrated indicator, it is concluded that this indicator does not have a stable trend. On the basis of the conducted researches it is offered to carry out optimization of an integral indicator of a financial condition with use of genetic algorithm in the Matlab environment. Based on the obtained results, recommendations of the management of the researched enterprises on increase of management efficiency are given.

Author(s):  
Liudmyla Batchenko ◽  
◽  
Liliia Honchar ◽  
Andrii Beliak ◽  
◽  
...  

The study identifies and systematizes key indicators and criteria for ensuring the financial stability of the restaurant business. The complex and thorough analysis of features of maintenance of financial stability of the enterprises of restaurant business on an example of one of restaurants of a chain of the Japanese kitchen of LLC «Sushiya» is carried out. After analyzing the key indicators of financial and economic activity of the restaurant, using the method of complex calculation of the rating of the financial condition of enterprises in the hospitality industry, the level of financial stability of the studied enterprise is determined. Based on the results of practice-oriented analysis, the ranking of financial management goals by the degree of impact on the financial stability of the enterprise. The mechanism of ensuring financial stability of restaurant business enterprises is modeled. The developed and substantiated mechanism is based on a unique methodology, which, unlike existing ones, is adapted to the field of hospitality, is carried out by specific tactical and strategic tools of financial management, based on the chosen type of enterprise policy; takes into account the dynamics of the main financial indicators of the enterprise, which is planned to implement the mechanism and the possible impact of factors of the external changing business environment. With the help of the matrix of financial strategies of J. Franchon and I. Romane, the position of the restaurant «Sushiya-Lavina» is determined and the methodological tools for improving the efficiency of its financial stability are substantiated.


2020 ◽  
Vol 210 ◽  
pp. 13002
Author(s):  
Ilona Avlasenko ◽  
Lyudmila Avlasenko ◽  
Isa Peshkhoev ◽  
Yuri Podkolzin ◽  
Oksana Savelyeva

In this article the problem of influence of accidental changes of financial indicators of enterprise activity (equity, long-term/short-term borrowed capital, reserves and costs, etc.) caused by uncertainty of market conditions on values of indicators of financial stability is considered. The study is conducted on the basis of the assumption that the studied financial indicators of the enterprise are random values with a normal law of distribution. To estimate the distribution parameters of these random values, statistical data on the values of the financial indicators of the enterprise for previous years are used. Following estimates of probabilities of financial stability levels were built: absolute stability, normal stability, unstable state and crisis financial state. With the help of statistical modeling, numerical experiments were conducted in order to determine the level of financial condition and conclusions were formulated on the impact on the financial condition of the enterprise of the parameters of the distribution of probabilities of random variables - indicators of the financial and economic activity of the enterprise.


2020 ◽  
Vol 13 (12) ◽  
pp. 300
Author(s):  
Svetlana Drobyazko ◽  
Anna Barwinska-Malajowicz ◽  
Boguslaw Slusarczyk ◽  
Olga Chubukova ◽  
Taliat Bielialov

The article is devoted to the theoretical substantiation and development of methodological approaches and practical recommendations for modeling the assessment of the financial stability of a service sector enterprise. To assess the financial condition of the hotel industry, a visual interpretation of the neural network, a model of self-organizing Kohonen map, was used. It is proven that by the method of Kohonen maps for each service provided by the hotel industry, in a certain period of activity, it is possible to establish certain objective limitations of structural characteristics that will prevent the transition to problem clusters or ensure the transition to better ones. The authors propose an economic and mathematical model of the process of assessing financial stability by calculating the integral indicator of financial stability of the service sector. The types of control maps for each of the coefficients that have a significant impact on the assessment of the financial stability of the enterprise in the service sector were identified. Control maps were constructed for each coefficient, which are part of the integrated indicator of financial stability, and their analysis was carried out for the presence of special reasons for the variability of the process of financial stability assessment. The concept of modeling a system for assessing the financial stability of service enterprises is developed in the article, which is based on the collection of financial data, a comprehensive analysis of factors influencing the financial condition, a study of the controllability of the process of assessing financial stability, building a model of an integral indicator of financial stability, and its program implementation.


2019 ◽  
Vol 276 ◽  
pp. 02014
Author(s):  
Nevila Rodhi Nova ◽  
I Putu Artama Wiguna ◽  
Anwar Nadjadji

Risk management has been widely studied and applied in oil and gas pipeline projects, but the reality is that the impacts still occur. This is due to the ineffectiveness of existing risk management applications, so of course in this case an effective risk management system is needed, in which risk management must pay attention to all aspects that exist, both internal aspects, external aspects, and other aspects that can affect and influenced by existing risks and risk management not only can be used as a preventive method. But it can also support sustainable development targets. This paper presents the application of risk management by oil and gas companies in Indonesia that has been adapted to ISO 31000:2009 as a framework that can integrate various other management processes, including the management of HSE (Health, Safety, and Environment) risk in the hope of that sustainable development can be achieved . But in the reality it can not be denied that the activities that continue to this day still cause negative impact, especially for the environment. International oil and gas companies nowadays place more emphasis on preventive measures than the methods of mitigation. Thus it shows that the concept of sustainable development has not been fully considered in risk management applications. The existence of a continuous negative impact would greatly affect the credibility of oil and gas companies. Based on the results of research conducted with the hybrid method and analyzed with the help of System Dynamics it can be concluded that there are 3 (three) factors that can affect reputation risk, these factors are social, environmental, and economic and the model built in this study shows that it will can help the oil and gas company players to predict and improve the company’s reputation.


Author(s):  
Anton Vladimirovich Antonov

The financial situation of an organization can be defined as a multidimensional economic category that characterizes, by means of a set of indicators, the placement, ownership and use of financial resources, as well as their sufficiency at each point in time. In connection with this, it can be stated that an assessment of the financial condition of an economic entity allows to conclude that there is an effective management of resources and financial indicators in the period under study. This article reveals the shortcomings associated with the assessment of the financial condition of the organization by calculating relative indicators (financial ratios). The article proposes a model for assessing the financial condition of the organization, based on the standard ordering of the growth rates of the four groups of financial ratios. At the first stage of the study, a reference matrix of the rates of indicators change is built; at the second stage - the matrix of the actual rates of indicators change. At the final stage of the study, an integral indicator is formed, calculated on the basis of a comparison of the reference and actual matrices, allowing to assess the financial condition of the organization for a certain period of time.


2012 ◽  
pp. 76-91
Author(s):  
L. Eder ◽  
I. Filimonova

The article describes the complex of economic and financial indicators reflecting the results of Russia’s oil and gas industry in 2011. Price environment of the major energy resources with regard to their realization at the domestic and international markets is analyzed. Main indicators of economic performance of the oil and gas industry (revenue, profit, profitability) are reviewed with differentiation by companies. The authors consider the tax burden for the oil and gas companies; show their role in forming federal budget revenues. The paper presents the analysis of specialized funds and reserves that are formed at the expense of oil and gas industry sources; examines Russia’s balance of payments as well as revenues generated by oil and gas exports. The stock market structure of Russia and the world is described with consideration of particular oil and gas companies.


2021 ◽  
Vol 2 (7(71)) ◽  
pp. 56-60
Author(s):  
O. Degtyareva

The article reveals modern approaches to enterprise risk management based on the introduction of ERM (enterprise risk management) system, aimed at the integration of all types of risks in the company's strategy and the transition from protection from negative situations to the concept of risk appetite. The special importance of risk management for oil and gas companies in the conditions of global instability and high price volatility is emphasized. The author analyzes the experience of the Norwegian oil and gas company Equinor in the development and implementation of ERM, changes in the organization of risk management and methods of analysis and evaluation.


Author(s):  
Alina Valerievna Bodnar

In the current economic and political situation the existing methods and models of analyzing and consolidating financial statements in the information architecture of an enterprise do not meet modern business environment criteria. The article presents a model built by using the fuzzy logic apparatus, managing the financial stability of the enterprises of the consolidated group using MATLAB toolkit and FuzzyLogic software package. The model is based on an integral indicator of the financial performance of the enterprise. The key performance indicators have been formed allowing to comprehensively assess the financial condition of the enterprise and the level of its financial stability. The presented indicators go through the stage of fuzzification, where eache factor is given a membership function, a decision and defuzzification stage, i.e. reduction of the resulting a fuzzy value to clarity. Application of Mamdani fuzzy inference algorithm allows to obtain a clear value of the integral indicator of the financial state of the enterprise. The obtained value allows to take on-line operational management decisions. The developed model has been applied to assess the financial state of “Metinvest Holding” enterprise, to identify its weak and strong sides, as well as to propose ways to improve its activities and possible options for taking managerial decisions. It has been inferred that fuzzy logic methods make it possible to analyze the financial stability of consolidated groups of companies under conditions of uncertainty, for example, in those cases when there is not any full-fledged statistics, or that non-financial data should be included in the number of investigated indicators. There have been used general scientific methods: generalization, abstraction, analogy, induction and deduction, a systematic approach and toolkit of fuzzy modeling to assess financial state of the enterprise and to manage its stability, as well as methods of scientific cognition.


2020 ◽  
Vol 8 (1) ◽  
pp. 81-85
Author(s):  
Ekaterina Orlova ◽  
Al'fiya Imamutdinova

For effective growth in a market economy, it is necessary to properly manage the company's finances, including conducting a reliable and objective analysis of the company's financial condition based on complete and up-to-date information. The main source of such information is accounting reports. Therefore, it is necessary to be able to navigate the financial statements and financial indicators of the organization for the successful development of the enterprise


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