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Prof. Ekaterina Orlova
Ufa State Aviation Technical University

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Research Keywords & Expertise

0 Human Capital
0 Machine Learning
0 Sustainable Management
0 Decision Support Systems
0 Game theory and applications

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Machine Learning
Human Capital

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Journal article
Published: 01 August 2021 in Mathematics
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This research deals with the challenge of reducing banks’ credit risks associated with the insolvency of borrowing individuals. To solve this challenge, we propose a new approach, methodology and models for assessing individual creditworthiness, with additional data about borrowers’ digital footprints to implement comprehensive analysis and prediction of a borrower’s credit profile. We suggest a model for borrowers’ clustering based on the method of hierarchical clustering and the k-means method, which groups actual borrowers having similar creditworthiness and similar credit risks into homogeneous clusters. We also design the model for borrowers’ classification based on the stochastic gradient boosting (SGB) method, which reliably determines the cluster number and therefore the risk level for a new borrower. The developed models are the basis for decision making regarding the decision about lending value, interest rates and lending terms for each risk-homogeneous borrower’s group. The modified version of the methodology for assessing individual creditworthiness is presented, which is to reduce the credit risks and to increase the stability and profitability of financial organizations.

ACS Style

Ekaterina Orlova. Methodology and Models for Individuals’ Creditworthiness Management Using Digital Footprint Data and Machine Learning Methods. Mathematics 2021, 9, 1820 .

AMA Style

Ekaterina Orlova. Methodology and Models for Individuals’ Creditworthiness Management Using Digital Footprint Data and Machine Learning Methods. Mathematics. 2021; 9 (15):1820.

Chicago/Turabian Style

Ekaterina Orlova. 2021. "Methodology and Models for Individuals’ Creditworthiness Management Using Digital Footprint Data and Machine Learning Methods." Mathematics 9, no. 15: 1820.

Journal article
Published: 12 January 2021 in Upravlenets
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The processes of modernization and technological evolution have emphasized the problem of human capital development. The quality of human capital, including physical well-being, makes a significant contribution to the growth of workforce productivity. The paper examines the feasibility of investing in employees’ health in order to ensure the growth of labour productivity at enterprises, as well as develop techniques and models of such investment. The theories of human capital constitute the methodological basis of the study. The research methods used are economic-statistical modeling, cluster analysis and methods of managerial decision-making. The article examines statistical data of management and accounting reports of a large enterprise engaged in the electric power industry, as well as data from a survey of its employees. The study analyzes the existing approaches, methods and models to control employees’ health and labour productivity. It identifies a number of significant shortcomings inherent in the current approaches that limit the scope of their application: there are no quantitative methods for assessing how the level and state of health affect labor productivity and no methods for forming a set of managerial decisions aimed at increasing the efficiency of labor resources with respect to their quality. This necessitates the development of a new approach, technique and its supporting models that reflect the important features of enterprises’ socio-economic system, i.e. the high dynamics of the ongoing processes, the uncertainty of the internal and external environment, and employees’ inclination to distort information about their health. The theoretical significance of the study is due to the proposed technique for managing labor productivity based on stage-by-stage processing of quantitative and qualitative data and modeling, which takes into account objective data on economic, demographic, social factors and subjective data on the quality of employees’ health. The technique provides sup port for making managerial decisions when planning trajectories of labour productivity growth. The practical value of the study lies in the methodology for forming the profiles of employees’ groups with similar characteristics, and in the development of adequate solutions for each group that allow increasing labor productivity quickly and at minimum costs.

ACS Style

Ekaterina Orlova. Labour productivity management using health factors: Technique and models. Upravlenets 2021, 11, 57 -69.

AMA Style

Ekaterina Orlova. Labour productivity management using health factors: Technique and models. Upravlenets. 2021; 11 (6):57-69.

Chicago/Turabian Style

Ekaterina Orlova. 2021. "Labour productivity management using health factors: Technique and models." Upravlenets 11, no. 6: 57-69.

Conference paper
Published: 11 November 2020 in 2020 2nd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA)
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The problem of system effeciency assesing of technological innovations is considered. The methodolofical approach for economic effeciency of new industrial technological process is proposed. The difference of the proposed concept is a comprehensive assessment of the effectiveness of innovative technology, including indicators of comparative economic efficiency and indicators of investment efficiency, taking into account various risk factors. These approach can be used for estimation a system efficiency of different types of technical innovations – new technological process, new equipment, new information technology, new automated control system, uses methods of system and economic analyses and take into account the type of innovation, the stage of it life cycle, the purpose and design objectives. Keywords—technological system, technological innovation, decision making, system efficiency.

ACS Style

E. V. Orlova. A System Approach for Assesing an Economic Efficiency of Technological Innovation. 2020 2nd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA) 2020, 705 -709.

AMA Style

E. V. Orlova. A System Approach for Assesing an Economic Efficiency of Technological Innovation. 2020 2nd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA). 2020; ():705-709.

Chicago/Turabian Style

E. V. Orlova. 2020. "A System Approach for Assesing an Economic Efficiency of Technological Innovation." 2020 2nd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA) , no. : 705-709.

Journal article
Published: 04 March 2020 in Information
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Credit operations are fundamental in the banks’ activities and provide a significant share of their income. Under an increased demand for credit resources, credit risks are growth. It keeps the importance of the problem of an increase in the efficiency of lending management processes in financial institutions. The aim of the work is the justification and development of new technology and models for the management of bank lending that reduce credit risks and increases lending efficiency. The research materials are statistical data from the Bank of Russia and Rosstat. The methods of system analysis, methods of control theory, methods of statistics, optimization methods and machine learning are used. The positive results of the implementation of the proposed technology and credit management models are of practical importance to ensure the profitability growth of credit organization and contribute to its competitiveness.

ACS Style

Ekaterina V. Orlova. Decision-Making Techniques for Credit Resource Management Using Machine Learning and Optimization. Information 2020, 11, 144 .

AMA Style

Ekaterina V. Orlova. Decision-Making Techniques for Credit Resource Management Using Machine Learning and Optimization. Information. 2020; 11 (3):144.

Chicago/Turabian Style

Ekaterina V. Orlova. 2020. "Decision-Making Techniques for Credit Resource Management Using Machine Learning and Optimization." Information 11, no. 3: 144.

Journal article
Published: 27 February 2020 in Issues of Risk Analysis
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Under conditions of demand for credit resources growing in Russian economy the importance of credit risks assessment and their influence on the credit organizations efficiency is increased. Empirical studies show that credit risks in the banking today are increasing nonlinearly relative to the main characteristics of the credit — the level of credit risk, credit terms, interest rate. Therefore, the formation of the most acceptable from the point of view of risk reducing of the bank’s credit portfolio is a scientifically based and practically important problem. The aim of the work is to justify the need for and develop a new mechanism for managing the bank's credit portfolio, ensuring its diversification and reduction of credit risks. The materials of the study were the statistical data of the Bank of Russia and Rosstat. Methods used in the work are: system analysis, control theory, statistical data processing and operational research. A mechanism for managing the quality of a bank credit portfolio is proposed, featuring a combination of quantitative and qualitative criteria for assessing the quality of the credit portfolio and allow to monitor of the credit portfolio, to make decisions on approving or rejecting a credit application in accordance with the permissible values of risk factors. A model has been developed for optimizing the structure of the credit portfolio, which makes it possible to form an optimal ratio of long-term and short-term credits, ensuring the maximum yield of the credit portfolio taking into account credit risk in the context of various credit policy types. A practical importance of the investigation are the positive results of the implementation of the proposed mechanism and model of credit portfolio management into the credit organization, ensuring the growth of its profitability and promoting an increase in competitiveness.

ACS Style

E. V. Orlova. Mechanism and model of credit portfolio diversification. Issues of Risk Analysis 2020, 17, 78-89 .

AMA Style

E. V. Orlova. Mechanism and model of credit portfolio diversification. Issues of Risk Analysis. 2020; 17 (1):78-89.

Chicago/Turabian Style

E. V. Orlova. 2020. "Mechanism and model of credit portfolio diversification." Issues of Risk Analysis 17, no. 1: 78-89.

Journal article
Published: 11 December 2019 in Programmnaya Ingeneria
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ACS Style

Ekaterina Orlova. Engineering of System Synthesis for Innovative Projects Efficiency. Programmnaya Ingeneria 2019, 10, 1 .

AMA Style

Ekaterina Orlova. Engineering of System Synthesis for Innovative Projects Efficiency. Programmnaya Ingeneria. 2019; 10 (11-12):1.

Chicago/Turabian Style

Ekaterina Orlova. 2019. "Engineering of System Synthesis for Innovative Projects Efficiency." Programmnaya Ingeneria 10, no. 11-12: 1.

Conference paper
Published: 26 November 2019 in Journal of Physics: Conference Series
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We consider a problem of financial resources planning where the processes of financial flows coordination of an enterprise under uncertainty are described with the discrete optimal control approach and methods of dynamic programming. We give a critical survey of theoretical and methodological approaches for financial resources planning problem. The financial flows dynamics is modelled with using the methods of system analysis, control theory, optimal control and methods of data processing under uncertainty. The model for the financial flows distribution has been developed. It uses the principles of optimal dynamic control under the criterion of cumulative non-payment risks and transaction and opportunity costs minimizing. The practical significance of the developed model is in its application for the financial planning in the enterprises that allows to improve its financial planning quality and to increase its management and operational efficiency.

ACS Style

Ekaterina Orlova. Model for discrete optimal control of the enterprise’s financial processes. Journal of Physics: Conference Series 2019, 1368, 042054 .

AMA Style

Ekaterina Orlova. Model for discrete optimal control of the enterprise’s financial processes. Journal of Physics: Conference Series. 2019; 1368 (4):042054.

Chicago/Turabian Style

Ekaterina Orlova. 2019. "Model for discrete optimal control of the enterprise’s financial processes." Journal of Physics: Conference Series 1368, no. 4: 042054.

Conference paper
Published: 15 November 2019 in Recent Advances in Computational Mechanics and Simulations
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In modern world, the ensuring enterprises’ (as complex production systems) sustainable functioning is one of the basic conditions for their competitiveness and efficiency. Economic changes require enterprises to improve products’ quality, to expand their use, to increase output, and to use innovative production technologies. For the effective management under external and internal environment dynamics, such tools are necessary that allow, on the one hand, identifying the financial and economic state and evaluate the product efficiency, and on the other hand, creating a set of management decisions necessary to prevent possible risks due to negative factors. An approach to managing the efficiency of industrial products based on situational analysis methods, econometric modeling is proposed. Numerical experiments evaluated the proposed approach effectiveness are given.

ACS Style

E. V. Orlova. Approach for Modeling and Situational Management of Industrial Product Efficiency. Recent Advances in Computational Mechanics and Simulations 2019, 427 -437.

AMA Style

E. V. Orlova. Approach for Modeling and Situational Management of Industrial Product Efficiency. Recent Advances in Computational Mechanics and Simulations. 2019; ():427-437.

Chicago/Turabian Style

E. V. Orlova. 2019. "Approach for Modeling and Situational Management of Industrial Product Efficiency." Recent Advances in Computational Mechanics and Simulations , no. : 427-437.

Journal article
Published: 01 April 2019 in Computer Research and Modeling
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Компьютерные исследования и моделирование

ACS Style

Ekaterina Orlova. Model for operational optimal control of financial recourses distribution in a company. Computer Research and Modeling 2019, 11, 343 -358.

AMA Style

Ekaterina Orlova. Model for operational optimal control of financial recourses distribution in a company. Computer Research and Modeling. 2019; 11 (2):343-358.

Chicago/Turabian Style

Ekaterina Orlova. 2019. "Model for operational optimal control of financial recourses distribution in a company." Computer Research and Modeling 11, no. 2: 343-358.

Conference paper
Published: 19 February 2019 in The Proceedings of the Third Workshop on Computer Modelling in Decision Making (CMDM 2018)
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ACS Style

Ekaterina Orlova. Approach for Economic Risks Modeling and Anti-risk Decision Making in a Transport Company. The Proceedings of the Third Workshop on Computer Modelling in Decision Making (CMDM 2018) 2019, 1 .

AMA Style

Ekaterina Orlova. Approach for Economic Risks Modeling and Anti-risk Decision Making in a Transport Company. The Proceedings of the Third Workshop on Computer Modelling in Decision Making (CMDM 2018). 2019; ():1.

Chicago/Turabian Style

Ekaterina Orlova. 2019. "Approach for Economic Risks Modeling and Anti-risk Decision Making in a Transport Company." The Proceedings of the Third Workshop on Computer Modelling in Decision Making (CMDM 2018) , no. : 1.

Journal article
Published: 01 January 2018 in University Management: Practice and Analysis
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ACS Style

E. V. Orlova; Ufa State Aviation Technical University. MODELING A TRAJECTORY FOR ECONOMIC FACULTIES DEVELOPMENT IN TECHNICAL UNIVERSITIES UNDER THE CONDITIONS OF ECONOMY DIGITALIZATION. University Management: Practice and Analysis 2018, 22, 88 -104.

AMA Style

E. V. Orlova, Ufa State Aviation Technical University. MODELING A TRAJECTORY FOR ECONOMIC FACULTIES DEVELOPMENT IN TECHNICAL UNIVERSITIES UNDER THE CONDITIONS OF ECONOMY DIGITALIZATION. University Management: Practice and Analysis. 2018; 22 (5):88-104.

Chicago/Turabian Style

E. V. Orlova; Ufa State Aviation Technical University. 2018. "MODELING A TRAJECTORY FOR ECONOMIC FACULTIES DEVELOPMENT IN TECHNICAL UNIVERSITIES UNDER THE CONDITIONS OF ECONOMY DIGITALIZATION." University Management: Practice and Analysis 22, no. 5: 88-104.

Proceedings article
Published: 01 January 2018 in Data Science
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ACS Style

Ekaterina Orlova; Ufa State Aviation Technical University. Fuzzy model for support investment decisions under risk. Data Science 2018, 1 .

AMA Style

Ekaterina Orlova, Ufa State Aviation Technical University. Fuzzy model for support investment decisions under risk. Data Science. 2018; ():1.

Chicago/Turabian Style

Ekaterina Orlova; Ufa State Aviation Technical University. 2018. "Fuzzy model for support investment decisions under risk." Data Science , no. : 1.

Proceedings article
Published: 01 January 2017 in Information Technology and Nanotechnology 2017
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ACS Style

Ekaterina V. Orlova; Ufa State Aviation Technical University. Modeling and coordinated control for the production and economic system. Information Technology and Nanotechnology 2017 2017, 1 -6.

AMA Style

Ekaterina V. Orlova, Ufa State Aviation Technical University. Modeling and coordinated control for the production and economic system. Information Technology and Nanotechnology 2017. 2017; ():1-6.

Chicago/Turabian Style

Ekaterina V. Orlova; Ufa State Aviation Technical University. 2017. "Modeling and coordinated control for the production and economic system." Information Technology and Nanotechnology 2017 , no. : 1-6.

Journal article
Published: 01 January 2017 in Automation and Remote Control
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The dynamic model of price competition in which processes of strategic interaction between companies on an imperfect competition market are described with the game-theoretic approach and methods of nonlinear dynamics. The pricing dynamics for the companies is modeled with difference equations (mappings). We study the stability of the fixed point of the price mapping. Results of our numerical modeling have shown the existence of periodic and chaotic solutions in the price competition model. We present intra-company adaptation mechanisms based on changing the prices in a way proportional to the rate of change in the companies’ profits; this lets us reduce the prices to a local Nash equilibrium and stabilize the chaotic dynamics of the market.

ACS Style

E. V. Orlova. Control over chaotic price dynamics in a price competition model. Automation and Remote Control 2017, 78, 16 -28.

AMA Style

E. V. Orlova. Control over chaotic price dynamics in a price competition model. Automation and Remote Control. 2017; 78 (1):16-28.

Chicago/Turabian Style

E. V. Orlova. 2017. "Control over chaotic price dynamics in a price competition model." Automation and Remote Control 78, no. 1: 16-28.

Journal article
Published: 01 February 2016 in Programmnaya Ingeneria
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ACS Style

E. V. Orlova. Mechanism, Models and Control Algorithms for Productive and Economic System under Harmonization Criteria of Interested Agents. Programmnaya Ingeneria 2016, 1 .

AMA Style

E. V. Orlova. Mechanism, Models and Control Algorithms for Productive and Economic System under Harmonization Criteria of Interested Agents. Programmnaya Ingeneria. 2016; ():1.

Chicago/Turabian Style

E. V. Orlova. 2016. "Mechanism, Models and Control Algorithms for Productive and Economic System under Harmonization Criteria of Interested Agents." Programmnaya Ingeneria , no. : 1.

Journal article
Published: 03 December 2014 in Science and Education of the Bauman MSTU
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ACS Style

Ekaterina Orlova; Irina Ulmasova. Technology for Price Management in Industrial Differential Product Market. Science and Education of the Bauman MSTU 2014, 15, 1 .

AMA Style

Ekaterina Orlova, Irina Ulmasova. Technology for Price Management in Industrial Differential Product Market. Science and Education of the Bauman MSTU. 2014; 15 (10):1.

Chicago/Turabian Style

Ekaterina Orlova; Irina Ulmasova. 2014. "Technology for Price Management in Industrial Differential Product Market." Science and Education of the Bauman MSTU 15, no. 10: 1.

Journal article
Published: 01 February 2007 in Journal of Computer and Systems Sciences International
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The theoretical foundations of development of the taxation management system are considered. The method of simulation a tax system based on simulation the tax load in groups of homogeneous subjects and effective management of the system of taxation by changing tax rates is described. A model for finding optimal tax rates in groups of subjects of taxation and tax types is proposed.

ACS Style

L. A. Ismagilova; E. V. Orlova. Simulation of efficient tax load in groups of subjects of taxation. Journal of Computer and Systems Sciences International 2007, 46, 107 -110.

AMA Style

L. A. Ismagilova, E. V. Orlova. Simulation of efficient tax load in groups of subjects of taxation. Journal of Computer and Systems Sciences International. 2007; 46 (1):107-110.

Chicago/Turabian Style

L. A. Ismagilova; E. V. Orlova. 2007. "Simulation of efficient tax load in groups of subjects of taxation." Journal of Computer and Systems Sciences International 46, no. 1: 107-110.