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10.5593/sgemsocial2017/15/S05.048

ESTIMATION OF COST EFFECTIVENESS ON THE MANAGEMENT SYSTEM OF AN INDUSTRIAL ENTERPRISE’S SUSTAINABILITY BASED ON FUZZY LOGIC

T. Khudyakova, A. Shmidt
Thursday 28 September 2017 by Libadmin2017

References: 4th International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM 2017, www.sgemsocial.org, SGEM2017 Conference Proceedings, ISBN 978-619-7408-17-1 / ISSN 2367-5659, 24 - 30 August, 2017, Book 1, Vol 5, 385-390 pp, DOI: 10.5593/sgemsocial2017/15/S05.048

ABSTRACT

The article substantiates the necessity to take into account the uncertainty of the environment of the economic entity’s operation while determining the cost effectiveness for implementing the system of controlling stability at an industrial enterprise. However, the use of well-known formulas of calculation of profitability, the total of which is calculated as the ratio of profit to cost, that caused the profit, in this case is not possible.
This impossibility lies in the fact that industrial enterprise is operating under conditions of unavoidable uncertainty of the external environment. In this regard, all the indicators on the input and output of minieconomic systems are probabilistic in nature and cannot be uniquely determined.
The use of the basic principles of fuzzy set theory to solve the problem. The result of the application of the proposed model efficiency can be estimated interval. The variability of the model parameters requires finding the probability of cost-effectiveness of the introduction of controlling system at the enterprise. Suggested in the article the algorithm of its estimation allows to quantify the impact of disturbances in the environment of functioning of enterprises on the efficiency of implementation of controlling.

Keywords: controlling, controlling system, sustainability, cost-effectiveness, industrial enterprise, fuzzy sets.

PAPER DOI: 10.5593/sgemsocial2017/15/S05.048 ; ESTIMATION OF COST EFFECTIVENESS ON THE MANAGEMENT SYSTEM OF AN INDUSTRIAL ENTERPRISE’S SUSTAINABILITY BASED ON FUZZY LOGIC

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