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Title: | Optimization of indicators for management of enterprise: finance, production, marketing, personnel |
Authors: | Malyarets L. M. Iastremska O. M. Herashchenko I. M. Iastremska O. O. Babenko V. O. |
Keywords: | Application guidance Certain criteria Genetic algorithm Indicators of management Multi-objective optimization problem |
Issue Date: | 2020 |
Citation: | Malyarets L. M. Optimization of indicators for management of enterprise: finance, production, marketing, personnel / L. M. Malyarets, O. M. Iastremska, I. M. Herashchenko et al. // The recent economic trends and their impact on marketing. Estudios de Economia Aplicada: monograph. - 2020. - Vol 38. - No 3(1). |
Abstract: | The multidimensionality and multi-objectivity are the main characteristics of the socio-economic systems development that are considered to be the most complex study objects in modern science, including all levels of its management. The article describes the formulation of multi-objective problem of optimizing enterprise development indicators. Selection of genetic algorithm for solving multi-objective optimization problem of enterprise development indicators through the process of analysis involving disadvantages and advantages of modern methods of solving multi-objective optimization problems has been substantiated. An analytical approach is suggested to construct partial criteria in a multi-objective optimization problem in economics as stochastic dependencies of development components on indicators in the form of latent factors, that should be marked by factor analysis. These defined optimal values of development indicators are recommended to use as an information basis for the implementation of all functions of enterprise management |
URI: | http://repository.hneu.edu.ua/handle/123456789/24858 |
Appears in Collections: | Монографії (МЛІ) |
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1._Malyarets_L._M.,_Iastremska_O._M.,_Herashchenko_I._M.,_Iastremska_O._O.,_Babenko_V._O._OPTIMIZATION.pdf | 514,54 kB | Adobe PDF | View/Open |
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