INFORMATION MEASURE IN ECONOMIC TASKS

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

Abstract

The subject of the research in the article are some questions of the system-information approach to the analysis of the measure of discrete-probabilistic (DP) information in economic cybernetics within the framework of the enterprise's activities relating to the calculation of technical and economic indicators, the forecasting of the output program, the technological process of manufacturing products, price policy, profitability and some others. The purpose of the study is to analyze the measures of discrete-probabilistic information assessment by managing the technical and economic indicators of production. Objectives: to develop a structural scheme of discrete-probabilistic technologies for assessing the efficiency of production; to develop a system of logarithmic technical and economic indicators of production, which allow more objective use of operational information of the production process; to solve the problem of forecasting the necessary material resources for launching new products into production, their production time and cost, before developing technological documentation. Methods are used. The main scientific provisions of the methodology of the system information approach include: a scientific method for calculating discrete-probabilistic information of physical quantities (parameters); a way of displaying in the form of created discrete-probabilistic models of processes and systems that embody the method and method (computer technologies); process of realization of measurement of controlled parameters, collection, storage and processing of information. The following results are obtained. The structural scheme of discrete-probabilistic technologies for assessing the production efficiency is defined, which determines the hierarchy of computer-integrated technologies of metrological support, based on the discrete-probabilistic information of the monitored parameters of the product CD, technological equipment and technological process. A system of logarithmic technical and economic indicators of production has been developed, which makes it possible to more objectively evaluate and effectively use the operational information of the production process; to solve the problems of forecasting the necessary material resources for launching new products into production, their production time and cost, before developing technological documentation. The task of forecasting at the early stages of the product life cycle is solved, which is provided by the methodology of the system-information approach, as well as the discrete-probabilistic technologies developed on its basis to provide metrological support for the evaluation of production efficiency. The developed methodology formulates scientific positions and regular connections between numerical values of discrete-probabilistic logarithmic indicators, which are possessed by technological controlled parameters and technical and economic indicators of production. This allows us to solve the problems of managing the technical and economic state of production, to solve the problems of forecasting the necessary material resources for launching new products into production, their production time and cost, before developing technological documentation. Conclusions. Discrete-probabilistic information technology assessment of technical and economic indicators of production allows you to accurately and timely and economically justify the dynamics of technical and economic indicators of production for use in the operational management of production.

Downloads

Download data is not yet available.

Author Biographies

Игорь Викторович Руженцев, Kharkiv National University of Radio Electronics
Head of the Department of Metrology and Technical Expertise
Сергей Владимирович Луцкий, Kharkiv National University of Radio Electronics
Senior Lecturer of the Department of Metrology and Technical Expertise

References

Lutskiy, S. (2008), Theoretical bases of the system-information approach to technological processes and systems: Monograph [Teoreticheskiye osnovy sistemno-informatsionnogo podkhoda k tekhnologicheskim protsessam i sistemam: Monografiya], KHNADU, Kharkov, 328 p.

Glushkova, V. (ed) (1975), Encyclopedia of Cybernetics, Ukrainian Modern Encyclopedia, Kiyev, Vol. 2.

Dmitriev, V. (1989), Applied information theory: a textbook for university students on the specialty "Automated systems for processing information and management [Prikladnaja teorija informacii: uchebnik dlja studentov VUZov po special'nosti "Avtomatizirovannye sistemy obrabotki informacii i upravlenija"], Vysshaja shkola, Moscow, 320 p.

Hartli, R. (1959), Information Transmission: Information Theory and Its Applications [Peredacha informacii: Teorija informacii i ee prilozhenija], Fizmatgiz, Moscow.

Shennon, K. (1963), Work on the theory of information and cybernetics [Raboty po teorii informacii i kibernetike], "Inostrannaja literatura", Moscow.

Luckij, S. (2010), "System-information campaign to the synthesis of computer-integrated technologies of machining at the stages of the product life cycle", Visnyk SevNTU Machine-tool engineering and transport ["Sistemno-informacionnyj pohod k sintezu komp'juterno-integrirovannyh tehnologij mehanoobrabotki na jetapah zhiznennogo cikla izdelij", Vіsnik SevNTU, Mashinopriladobuduvannja ta transportu,], Sevastopol, № 107, pp. 132-137.

Eleneva, Ju. (2010), Economics of machine-building production [Jekonomika mashinostroitel'nogo proizvodstva], Jekonomika i upravlenie, Moscow, 256 p.

Ruzhentsev, I., Luts'kyy, S., Fet'kiv, V. (2016), "The measure of discrete-probable information in the study of processes and systems", Scientific and Production Magazine Metrology and Instruments ["Mira dyskretno-imovirnoyi informatsiyi pry doslidzhenni protsesiv ta system", Naukovo-vyrobnychyy zhurnal metrolohiya ta prylady], No. 3, pp. 43–45.

Science. The greatest theories. Issue 11. The revolution in the microcosm. Plank. Quantum theory. De Agostini [Nauka. Velichajshie teorii. Vypusk 11. Revoljucija v mikromire. Plank. Kvantovaja teorija. De Agostini], 2011, 257 p.

Ruzhentsev, I., Lutskiy, S., Fet'kiv, V., Podzigun, O. (2016), "Discrete-probabilistic information regularities factor in improving production efficiency", Collection of works ХХth International scientific and technical conference "Metrology and measuring technology" ["Diskretno-veroyatnostnyye informatsionnyye zakonomernosti faktor povysheniya effektivnosti proizvodstva", Sbornik trudov ХХ mezhdunarodnoy nauchno-tekhnicheskoy konferentsii "Metrologiya i izmeritel'naya tekhnika"], Kharkiv, pp. 21.


Abstract views: 133
PDF Downloads: 1
Published
2017-09-01
How to Cite
Руженцев, И. and Луцкий, С. (2017) “INFORMATION MEASURE IN ECONOMIC TASKS”, INNOVATIVE TECHNOLOGIES AND SCIENTIFIC SOLUTIONS FOR INDUSTRIES, (1 (1), pp. 110-116. doi: 10.30837/2522-9818.2017.1.110.