Analysis of discrete-probabilistic information technologies of evaluating technical and economic indicators of production

Authors

  • Igor Ruzhentsev Kharkiv National University of Radio Electronics Nauky ave., 14, Kharkiv, Ukraine, 61166, Ukraine
  • Sergey Lutsky Kharkiv National University of Radio Electronics Nauky ave., 14, Kharkiv, Ukraine, 61166, Ukraine https://orcid.org/0000-0002-5327-6591

DOI:

https://doi.org/10.15587/2313-8416.2017.96683

Keywords:

measure, technology, technical and economic indicators, system-information approach, discrete-probabilistic information

Abstract

The article reveals some questions of the analysis of technical and economic indicators of the company's activities concerning the forecasting of the production program, the technological process of manufacturing products, the efficiency of using materials, pricing policy, profitability and some others.

Discrete-probabilistic calculations provide an opportunity to obtain more accurate representations and conclusions about the technical and economic performance of the enterprise, which characterize the effectiveness of production operations and the necessary resource support

Author Biographies

Igor Ruzhentsev, Kharkiv National University of Radio Electronics Nauky ave., 14, Kharkiv, Ukraine, 61166

Doctor of Technical Sciences, Professor, Head of Department

Department of Metrology and technical expertise

Sergey Lutsky, Kharkiv National University of Radio Electronics Nauky ave., 14, Kharkiv, Ukraine, 61166

PhD, senior lecturer

Department of Metrology and technical expertise

References

Dmitriev, V. I. (1989). Applied Information Theory. Moscow: Higher school, 326.

Vasiliev, V. N. (1986). Organization management and economics of flexible integrated production in machine building. Moscow: Mashinostroenie, 312.

Hawkins, J., Blakeslee, S. (2007). On Intelligence. Moscow: Williams, 240.

Gottfredson, L. S. (1994). Mainstream Science on Intelligence. Wall Street Journal, A18.

Melnik, L. G. (2010). Scientific foundations of self-organization of economic systems. P. 1. Mekhanizm regulyuvannya ekonomiki, 1 (3), 12–26.

Yeleneva, Yu. A. (2010). The economy of machine building. Moscow: Akademiya, 256.

Prokhorov, A. M. (Ed.) (1985). Soviet encyclopedic dictionary. Moscow: Sovetskaya encyclopedia, 1600.

Lutskiy, S. V. (2010). System-information campaign to the synthesis of computer-integrated technologies of machining at the stages of the life cycle of products. News of SevNTU. Mashynopryladobuduvannya and transport, 107, 132–137.

Plank, M. (2012). The revolution in the microcosm. Quantum theory. Series: Science. The greatest theories. Moscow: De Agostini, 33.

Ruzhentsev, I. V., Lutsky, S. V., Fetkiv, V. P., Podzigun, O. I. (2016). Discrete-probabilistic information laws factor of increasing production efficiency. Metrology and measuring technology. Kharkiv, 21.

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Published

2017-03-31

Issue

Vol. 3 (2017)

Section

Technical Sciences

License

Copyright (c) 2017 Igor Ruzhentsev, Sergey Lutsky

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