Mathematical model of evaluating the effectiveness of chemical industry enterprises

Tetiana  Prokopenko; V. Krezub

Journal: Volume 21, No. 3, 2016

Pages: 78 – 83

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Mathematical model of evaluating the effectiveness of chemical industry enterprises

Abstract

The article deals with evaluation of chemical industry`s effectiveness. In order to assess longterm strategic decisions of chemical industry`s development, it is necessary to analyze technical and economic indexes of industry`s effectiveness and to identify the criteria`s effectiveness among them. The dynamics of a market economy requires the development of new methods of complex evaluation of chemical industry`s efficiency, where economic and market criteria`s effectiveness is important. The aim of this work is to construct a mathematical model of chemical industry and the selection criteria evaluation of effectiveness To evaluate the efficiency of chemical industry a number of economic and technical-economic indicators are used. These figures allow to consider many factors and components, that affect the level of efficiency and dynamics, more completely and in relationship. The proposed model is the basis for a comprehensive evaluation of the efficiency of chemical industry, which will ensure an integrated approach to management in strategic and operational activities of the company. In crisis conditions related to the instability of the economy, political situation, foreign policy and others in enterprise management it is important to provide information that would reflect the situation both in current and strategic activities, and would contribute to the development and decision-makings in management. Therefore, in management by chemical industry enterprises it is necessary to develop these information technologies that provide the evaluation of the effectiveness of an enterprise and the whole organization, as well as opportunities of efficient collection of various statistical information, to perform functions of the control of deviations of actual indicators from planned ones, to quickly provide information on the needs of various leading organs and to provide the choice and decision-making

Keywords

chemical industry, evaluation of performance, economic benefit, optimization, information technology

References

Aksenko, A. F. (Ed.). (1986). Accounting and analysis of production efficiency. Moscow: Finansy i Statistika. 260 p.
Dubovoy, V. M., Derman, H. Yu., Pylypenko, I. V., & Baias, M. M. (2013). Decision making in the management of branched technological processes (Monograph). Vinnytsia: VNTU. 223 p.
Grebennyk, I. V., & Khabarov, A. Yu. (2003). Modeling the influence of the environment on the effectiveness of the work execution plan. Information Processing Systems, (4)26.
Ladanyuk, A. P., & Prokopenko, T. O. (2003). Formation of the database of the computer information system for assessing the efficiency of a sugar plant. Automation of Production Processes, (2)17, 23–27.
Ladanyuk, A. P., Lutsk, N. M., & Golovanov, S. O. (2010). Technological objects in the structure of the operational optimization of production. Eastern European Journal of Advanced Technologies, 2/4(44), 41–43.
Ladanyuk, A. P., Ukrayinets, A. I., & Kyshenko, V. D. (2008). Management of automated technological complexes of food production based on a scenario approach. Automatics. Automation. Electrotechnical Complexes and Systems, (2), 187–196.
Onishchenko, O., & Yurshyn, V. (1996). Methodological aspect of comparative evaluation of the efficiency of different forms of management in the agricultural sector. Economics of Ukraine, (3), 15–19.
Prokopenko, T. A., & Ladanyuk, A. P. (2014). Information model of management of continuous-type technological complexes in the class of organizational and technical systems. Problems of Control and Informatics: International Scientific and Technical Journal, (5), 64–70.
Prokopenko, T. O., & Ladanyuk, A. P. (2015). Information technologies for the management of organizational and technological systems (Monograph). Cherkasy: Vertykal, Publ. Kandych S. H. 224 p.
Prokopenko, T. O., Leha, Yu. H., & Kovtun, Yu. O. (2005). Development of a mathematical model for the management of sugar enterprises as part of a corporate information system. Herald of Cherkasy State Technological University, (2), 41–43.

Suggested citation

Prokopenko, T., & Krezub, V. (2016). Mathematical model of evaluating the effectiveness of chemical industry enterprises. Bulletin of Cherkasy State Technological University, 21(3), 78-83.

[1] Aksenko, A. F. (Ed.). (1986). Accounting and analysis of production efficiency. Moscow: Finansy i Statistika. 260 p.

[2] Dubovoy, V. M., Derman, H. Yu., Pylypenko, I. V., & Baias, M. M. (2013). Decision making in the management of branched technological processes (Monograph). Vinnytsia: VNTU. 223 p.

[3] Grebennyk, I. V., & Khabarov, A. Yu. (2003). Modeling the influence of the environment on the effectiveness of the work execution plan. Information Processing Systems, (4)26.

[4] Ladanyuk, A. P., & Prokopenko, T. O. (2003). Formation of the database of the computer information system for assessing the efficiency of a sugar plant. Automation of Production Processes, (2)17, 23–27.

[5] Ladanyuk, A. P., Lutsk, N. M., & Golovanov, S. O. (2010). Technological objects in the structure of the operational optimization of production. Eastern European Journal of Advanced Technologies, 2/4(44), 41–43.

[6] Ladanyuk, A. P., Ukrayinets, A. I., & Kyshenko, V. D. (2008). Management of automated technological complexes of food production based on a scenario approach. Automatics. Automation. Electrotechnical Complexes and Systems, (2), 187–196.

[7] Onishchenko, O., & Yurshyn, V. (1996). Methodological aspect of comparative evaluation of the efficiency of different forms of management in the agricultural sector. Economics of Ukraine, (3), 15–19.

[8] Prokopenko, T. A., & Ladanyuk, A. P. (2014). Information model of management of continuous-type technological complexes in the class of organizational and technical systems. Problems of Control and Informatics: International Scientific and Technical Journal, (5), 64–70.

[9] Prokopenko, T. O., & Ladanyuk, A. P. (2015). Information technologies for the management of organizational and technological systems (Monograph). Cherkasy: Vertykal, Publ. Kandych S. H. 224 p.

[10] Prokopenko, T. O., Leha, Yu. H., & Kovtun, Yu. O. (2005). Development of a mathematical model for the management of sugar enterprises as part of a corporate information system. Herald of Cherkasy State Technological University, (2), 41–43.