Optimization of indicators for enterprise development: finance, production, marketing, personnel

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 purpose of the project has involved designing new multi-objective optimization problem of an enterprise development management. It is structured according to the following components as finance, production, marketing, personnel, that are considered to be its partial criteria, based on their cause and effect relationships, real limits of changes of indicator values as well as it provides for the use of genetic algorithm. 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. . The logic of the genetic algorithm implementation stages for multi-objective optimization problems solving process of the indicators for enterprise development and its application has been specified. Practical approbation concerning design of optimization indicators of enterprise development: finance, production, marketing, personnel has been carried out on real data of the enterprise – public joint-stock company “Turboatom” (Ukraine), taken from its website http://www.turboatom.com.ua/. These defined optimal values of development indicators are recommended to use as an information basis for the implementation of all functions of enterprise management.