PRINCIPLES FOR DETERMINING THE COST-EFFECTIVENESS OF THE IMPLEMENTATION OF A CONTROLLING SYSTEM IN AN INDUSTRIAL ENTERPRISE

Authors

  • Tatiana Albertnovna Khudyakova South Ural State University (Chelyabinsk)

Keywords:

controlling, controlling system, sustainability, cost-effectiveness, industrial enterprise, fuzzy sets, interval numbers, probability of efficiency, cash flow, disturbing influence

Abstract

The need for taking into account the uncertainty of operational environment of an economic entity when determining the cost effectiveness of the implementation of a stability controlling system in an industrial plant is justified. However, the application of a well-known formula for calculating profitability, the general form of which is calculated as the ratio of profits and costs, contributing to this profit, is not possible in this case. This impossibility lies in the fact that an industrial enterprise operates in the context of fatal environmental uncertainty. In this regard, all indicators on the input and output of the minieconomic system have a probabilistic nature and can’t be clearly determined. It is proposed to use basic principles of the fuzzy sets theory to solve the problem. As a result of the proposed model the efficiency can be measured in intervals. The variability of the model’s parameters makes it necessary to find the probability of cost-effectiveness when implementing the controlling system in the enterprise. The proposed in the article algorithm allows assessing the influence of disturbances in the operational environment on the effectiveness of measures aimed at controlling introduction.

Author Biography

Tatiana Albertnovna Khudyakova, South Ural State University (Chelyabinsk)

Candidate of Science (Economics), assistant professor, Department of Economics
and Service Management

References

Bellman R., Zade L. Prinjatie reshenij v rasplyvchatyh uslovijah [Decision Making in Vague Terms].

Voprosy analiza i procedury prinjatija reshenija. Moscow, Mir Publ., 1976.

Koroleva L.P. [Evaluation of the Effectiveness of Controlling]. Upravlencheskij uchet [Management Accounting],

, no. 1, pp. 37–42. (in Russ.)

Nedosekin A.O. Metodologicheskie osnovy modelirovanija finansovoj dejatel'nosti s ispol'zovaniem nechetko-

mnozhestvennyh opisanij. Diss. dokt. jekon. nauk [Methodological Basics of Financial Modeling Activities

Using Fuzzy Multiple Descriptions. Dissertation on Competition of a Scientific Degree of the Doctor of

Economic Sciences]. St. Petersburg, 2003. 302 p.

Nedosekin A.O. [The Use of Fuzzy Sets Theory to the Problems of Financial Management]. Audit i finansovyj

analiz [Audit and Financial Analysis], 2000, no. 2, pp. 10–13. (in Russ.)

Shmidt A.V., Khudyakova T.A. Issledovanie, ocenka i prognozirovanie jekonomicheskoj ustojchivosti

promyshlennogo predprijatija [Research, Evaluation and Forecasting of the Economic Sustainability of Industrial

Enterprises: Monograph]. Chelyabinsk, South Ural St. Univ. Publ., 2006. 142 p.

Shmidt A.V. [The Modeling and Control of Development of Industrial Enterprises on the Criteria of Economic

Sustainability]. Vestnik UrFU. Serija: Jekonomika i upravlenie [Bulletin of the UrFU. Series: Economics

and management], 2011, no. 4, pp. 85–98. (in Russ.)

Dubois D., Prade H. Fuzzy real algebra: some results. Fuzzy Sets and Systems, 1979, no. 4, pp. 327–348.

Dubois D., Prade H. Fuzzy Sets and Systems. New York, Academic Press, 1980.

Published

2014-12-01

Issue

Section

Marketing