438 research outputs found
RESEARCH OF THE INFLUENCE OF LOW-FREQUENCY AND HIGH-FREQUENCY ACTIONS ON PROCESSING OF TECHNOLOGICAL ENVIRONMENTS
The processing of various vibrational low-frequency and cavitation high-frequency actions by their rheological properties is studied. A mathematical model of the motion of particles of a technological environment is determined taking into account the different nature of the dissipative forces. Two kinds of frictional forces are applied: dry at the first stage of changing the constituents of the mixture and viscous at the second, final stage of compaction of the mixture. The obtained analytical dependencies reveal the physical picture of the behavior of particles and the technological environment as a whole. The key stages of compaction to account for dry and viscous friction between the components of materials are described. It is revealed that processing at low frequencies reduces energy costs. Taking into account in vibroacoustic processes the contribution of higher harmonics greatly accelerates the process of cavitation. This is a fundamentally new result and the idea of the possibility of obtaining an effect for creating new materials. The obtained amplitudes and frequencies of oscillations of both low-frequency and high-frequency modes open a new direction in technologies for improving the quality of material processing. The main modes and parameters of vibrational and acoustic action for effective implementation of material processing processes are determined. The obtained results are applied at definition of rheological and technological parameters at various stages of processing of materials. The basic directions of quality improvement of processing environments are formulated
ΠΠΈΠ½Π°ΠΌΡΡΠ½Π΅ ΠΌΠΎΠ΄Π΅Π»ΡΠ²Π°Π½Π½Ρ ΡΠ½Π²Π΅ΡΡΠΈΡΡΠΉΠ½ΠΎΠ³ΠΎ ΡΠΎΠ·Π²ΠΈΡΠΊΡ ΡΠ° ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΠΎΡ ΠΌΠ°ΠΊΡΠΎΠ΅ΠΊΠΎΠ½ΠΎΠΌΡΡΠ½ΠΎΡ ΡΠ½Π²Π΅ΡΡΠΈΡΡΠΉΠ½ΠΎΡ ΠΏΠΎΠ»ΡΡΠΈΠΊΠΈ
Π£ ΡΡΠ°ΡΡΡ ΠΎΠΏΠΈΡΡΡΡΡΡΡ ΠΏΡΠΎΡΠ΅Ρ ΠΏΠΎΠ±ΡΠ΄ΠΎΠ²ΠΈ Π΄ΠΈΠ½Π°ΠΌΡΡΠ½ΠΎΡ ΠΌΠΎΠ΄Π΅Π»Ρ ΡΠ½Π²Π΅ΡΡΠΈΡΡΠΉΠ½ΠΎΠ³ΠΎ ΡΠΎΠ·Π²ΠΈΡΠΊΡ ΡΠΊ
ΡΠΈΡΡΠ΅ΠΌΠΈ Π΄ΠΈΡΠ΅ΡΠ΅Π½ΡΡΠ°Π»ΡΠ½ΠΈΡ
ΡΡΠ²Π½ΡΠ½Ρ. ΠΠ»Ρ Π΄ΠΎΡΠ»ΡΠ΄ΠΆΠ΅Π½Π½Ρ ΠΌΠΎΠ΄Π΅Π»Ρ Π²ΠΈΠΊΠΎΡΠΈΡΡΠΎΠ²ΡΡΡΡΡΡ Π΅ΠΊΠΎΠ½ΠΎΠΌΠ΅ΡΡΠΈΡΠ½ΠΈΠΉ
ΠΏΡΠ΄Ρ
ΡΠ΄, ΡΠΊΠΈΠΉ Π΄ΠΎΠ·Π²ΠΎΠ»ΡΡ Π· Π²ΠΈΡΠΎΠΊΠΎΡ ΡΠΎΡΠ½ΡΡΡΡ ΠΏΠ΅ΡΠ΅ΠΉΡΠΈ Π²ΡΠ΄ Π½Π΅ΠΏΠ΅ΡΠ΅ΡΠ²Π½ΠΎΡ Π΄ΠΎ Π΄ΠΈΡΠΊΡΠ΅ΡΠ½ΠΎΡ ΠΌΠΎΠ΄Π΅Π»Ρ.
ΠΠΏΡΠΎΠ±Π°ΡΡΡ ΠΏΠΎΠ±ΡΠ΄ΠΎΠ²Π°Π½ΠΎΡ ΠΌΠΎΠ΄Π΅Π»Ρ Π·Π΄ΡΠΉΡΠ½ΡΡΡΡΡΡ Π΄Π»Ρ Π΅ΠΊΠΎΠ½ΠΎΠΌΡΠΊΠΈ ΠΠ°Π½ΡΡ. Π’Π°ΠΊΠΎΠΆ ΠΎΠΏΠΈΡΡΡΡΡΡΡ ΠΏΡΠΎΠ±Π»Π΅ΠΌΠ°
ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΠΎΡ ΡΠ½Π²Π΅ΡΡΠΈΡΡΠΉΠ½ΠΎΡ ΠΏΠΎΠ»ΡΡΠΈΠΊΠΈ ΡΠΊ Π·Π°Π΄Π°ΡΠ° Π»ΡΠ½ΡΠΉΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΠ³ΡΠ°ΠΌΡΠ²Π°Π½Π½Ρ.
ΠΡΠΈ ΡΠΈΡΡΠ²Π°Π½Π½Ρ Π΄ΠΎΠΊΡΠΌΠ΅Π½ΡΠ°, Π²ΠΈΠΊΠΎΡΠΈΡΡΠΎΠ²ΡΠΉΡΠ΅ ΠΏΠΎΡΠΈΠ»Π°Π½Π½Ρ http://essuir.sumdu.edu.ua/handle/123456789/3664Π ΡΡΠ°ΡΡΠ΅ ΠΎΠΏΠΈΡΡΠ²Π°Π΅ΡΡΡ ΠΏΡΠΎΡΠ΅ΡΡ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΡ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ
ΠΊΠ°ΠΊ ΡΠΈΡΡΠ΅ΠΌΡ Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΡΡ
ΡΡΠ°Π²Π½Π΅Π½ΠΈΠΉ. ΠΠ»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΡΡΡ
ΡΠΊΠΎΠ½ΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄, ΠΊΠΎΡΠΎΡΡΠΉ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ Ρ Π²ΡΡΠΎΠΊΠΎΠΉ ΡΠΎΡΠ½ΠΎΡΡΡΡ ΠΏΠ΅ΡΠ΅ΠΉΡΠΈ ΠΎΡ Π½Π΅ΠΏΡΠ΅ΡΡΠ²Π½ΠΎΠΉ ΠΊ
Π΄ΠΈΡΠΊΡΠ΅ΡΠ½ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ. ΠΠΏΡΠΎΠ±Π°ΡΠΈΡ ΠΏΠΎΡΡΡΠΎΠ΅Π½Π½ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΎΡΡΡΠ΅ΡΡΠ²Π»ΡΠ΅ΡΡΡ Π΄Π»Ρ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ ΠΠ°Π½ΠΈΠΈ.
Π’Π°ΠΊΠΆΠ΅ ΠΎΠΏΠΈΡΡΠ²Π°Π΅ΡΡΡ ΠΏΡΠΎΠ±Π»Π΅ΠΌΠ° ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΠΎΠΉ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΎΠ½Π½ΠΎΠΉ ΠΏΠΎΠ»ΠΈΡΠΈΠΊΠΈ ΠΊΠ°ΠΊ Π·Π°Π΄Π°ΡΠ° Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎΠ³ΠΎ
ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ.
ΠΡΠΈ ΡΠΈΡΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ Π΄ΠΎΠΊΡΠΌΠ΅Π½ΡΠ°, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠΉΡΠ΅ ΡΡΡΠ»ΠΊΡ http://essuir.sumdu.edu.ua/handle/123456789/3664It is described a process of investment development dynamic modelling using the differential equations. It is explored the econometric approach that allows to shift from continued model to discrete one with a high precision. The approbation of the model is made on the Danish economy. It is also set up a problem of optimal investment policy as linear programming problem.
When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/366
Π ΠΎΠ·ΡΠΎΠ±ΠΊΠ° ΡΠ½ΡΠ²Π΅ΡΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΏΡΡΠΊΠΎ-Π·Π°ΡΡΠ΄Π½ΠΎΠ³ΠΎ ΠΏΡΠΈΡΡΡΠΎΡ Π· Π°ΠΊΡΠΌΡΠ»ΡΡΠΎΡΠ½ΠΎΡ Π±Π°ΡΠ°ΡΠ΅ΡΡ
ΠΠ°ΡΠΊ. ΠΊΠ΅Ρ.: Π.Π. Π’ΠΎΠ»Π±Π°ΡΠΎ
Model of operational search prediction of intentional homicide by criminal police
The purpose of the article is to determine the model of operational search prediction of intentional homicide by criminal police of Ukraine. Subject of research: The subject of research is a model of operational search prediction of intentional homicides by criminal police of Ukraine. Methodology: The methodological basis for the article is general and special methods and techniques of scientific knowledge, in particular: normative and dogmatic method, epistemological method, monographic method, comparative and legal method, modeling method, method of grouping, logical and legal method, method of generalization. Research results: The characteristic of the method of prediction and its use by the bodies of criminal police is given. Practical consequences: The features of the process of construction of operational search model of a situation are considered. International experience of regulating the issue under consideration is studied. Value / originality: Based on the examination of international experience, it is proposed to apply appropriate measures to combat intentional homicide in the activities of the National Police of Ukraine
Modelling and identification of macroeconomic system dynamic interindustry balance
Π£ ΡΡΠ°ΡΡΡ ΡΠΎΠ·Π³Π»ΡΠ½ΡΡΠΎ ΠΏΡΠΎΡΠ΅Ρ ΠΏΠΎΠ±ΡΠ΄ΠΎΠ²ΠΈ ΠΌΠΎΠ΄Π΅Π»Ρ ΠΌΡΠΆΠ³Π°Π»ΡΠ·Π΅Π²ΠΎΠ³ΠΎ Π±Π°Π»Π°Π½ΡΡ ΠΌΠ°ΠΊΡΠΎΠ΅ΠΊΠΎΠ½ΠΎΠΌΡΡΠ½ΠΎΡ
ΡΠΈΡΡΠ΅ΠΌΠΈ. ΠΠ°ΠΏΡΠΎΠΏΠΎΠ½ΠΎΠ²Π°Π½ΠΎ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΡ Π²ΠΈΠ·Π½Π°ΡΠ΅Π½Π½Ρ ΠΏΠ΅ΡΡΠΎΠ΄Ρ ΠΊΠΎΠ»ΠΈΠ²Π°Π½Ρ ΠΌΠ°ΠΊΡΠΎΠ΅ΠΊΠΎΠ½ΠΎΠΌΡΡΠ½ΠΎΡ Π΄ΠΈΠ½Π°ΠΌΡΠΊΠΈ, Π°
ΡΠ°ΠΊΠΎΠΆ Π²ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½Π½Ρ Π²Π·Π°ΡΠΌΠΎΠ·Π²βΡΠ·ΠΊΡ ΠΌΡΠΆ ΡΠΈΡΠ»ΠΎΠΌ Π·Π½Π°ΡΡΡΠΈΡ
Π³Π°ΡΠΌΠΎΠ½ΡΠΊ ΡΠ° ΠΊΡΠ»ΡΠΊΡΡΡΡ ΡΠ΅ΠΊΡΠΎΡΡΠ². ΠΠ°Π½ΠΈΠΉ
ΠΏΡΠ΄Ρ
ΡΠ΄ Π±Π°Π·ΡΡΡΡΡΡ Π½Π° Π΄Π΅ΠΊΠΎΠΌΠΏΠΎΠ·ΠΈΡΡΡ (ΡΠΏΠ΅ΡΠΈΡΡΠΊΠ°ΡΡΡ ΡΠ° ΡΠ΄Π΅Π½ΡΠΈΡΡΠΊΠ°ΡΡΡ) ΡΡΠ°ΡΠΊΡΠΎΡΡΠΉ ΡΡΡ
Ρ Π²ΠΈΠΏΡΡΠΊΡΠ² ΡΠ°
Π½Π΅Π²ΠΈΡΠΎΠ±Π½ΠΈΡΠΎΠ³ΠΎ ΡΠΏΠΎΠΆΠΈΠ²Π°Π½Π½Ρ ΠΎΠΊΡΠ΅ΠΌΠΈΡ
ΡΠ΅ΠΊΡΠΎΡΡΠ² Ρ Π΅ΠΊΠΎΠ½ΠΎΠΌΡΠΊΠΈ Π² ΡΡΠ»ΠΎΠΌΡ. Π¦Π΅ Π΄Π°Ρ Π·ΠΌΠΎΠ³Ρ ΠΎΡΡΠΈΠΌΠ°ΡΠΈ ΡΠΊΡΡΠ½Ρ
ΡΠΌΡΡΠ°ΡΡΠΉΠ½Ρ ΡΠ° ΠΏΡΠΎΠ³Π½ΠΎΠ·Π½Ρ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ ΠΌΠ°ΠΊΡΠΎΠ΅ΠΊΠΎΠ½ΠΎΠΌΡΡΠ½ΠΎΠ³ΠΎ ΡΠΎΠ·Π²ΠΈΡΠΊΡ. ΠΠ΅Π²ΠΈΡΠΎΠ±Π½ΠΈΡΠ΅ ΡΠΏΠΎΠΆΠΈΠ²Π°Π½Π½Ρ
Π·Π½Π°Ρ
ΠΎΠ΄ΠΈΠ»ΠΈΡΡ Π·Π° Π΄ΠΎΠΏΠΎΠΌΠΎΠ³ΠΎΡ ΠΎΠ±Π΅ΡΠ½Π΅Π½ΠΎΠ³ΠΎ Π·Π²βΡΠ·ΠΊΡ. ΠΠ΅Π²ΡΠ΄ΠΎΠΌΡ ΠΌΠ°ΡΡΠΈΡΡ ΠΌΠΎΠ΄Π΅Π»Ρ ΠΠ΅ΠΎΠ½ΡΡΡΠ²Π° ΠΎΡΡΠ½Π΅Π½Ρ Π·
ΠΎΠ±ΠΌΠ΅ΠΆΠ΅Π½Π½ΡΠΌΠΈ-Π½Π΅ΡΡΠ²Π½ΠΎΡΡΡΠΌΠΈ Π½Π° ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΈ. ΠΠΏΡΠΎΠ±Π°ΡΡΡ ΠΌΠΎΠ΄Π΅Π»Ρ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π° Π½Π° ΠΏΡΠΈΠΊΠ»Π°Π΄Ρ Π΅ΠΊΠΎΠ½ΠΎΠΌΡΠΊΠΈ
Π€ΡΠ°Π½ΡΡΡ. ΠΡΠΎΠ±Π»Π΅Π½ΠΎ Π°Π½Π°Π»ΡΠ· Π²Ρ
ΡΠ΄Π½ΠΎΡ ΡΠ½ΡΠΎΡΠΌΠ°ΡΡΡ ΡΠ° ΠΏΠΎΠ΄ΡΠ» ΠΌΠ°ΠΊΡΠΎΠ΅ΠΊΠΎΠ½ΠΎΠΌΡΡΠ½ΠΎΡ ΡΠΈΡΡΠ΅ΠΌΠΈ Π½Π° ΡΠ΅ΠΊΡΠΎΡΠΈ.
ΠΡΠΎΠ²Π΅Π΄Π΅Π½Π° ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΈΡΠ½Π° ΡΠ΄Π΅Π½ΡΠΈΡΡΠΊΠ°ΡΡΡ ΡΡΠ°ΡΠΊΡΠΎΡΡΠΉ Π²ΠΈΠΏΡΡΠΊΡΠ² ΡΠ° Π½Π΅Π²ΠΈΡΠΎΠ±Π½ΠΈΡΠΎΠ³ΠΎ ΡΠΏΠΎΠΆΠΈΠ²Π°Π½Π½Ρ.Π ΡΡΠ°ΡΡΠ΅ ΡΠ°ΡΡΠΌΠΎΡΡΠ΅Π½ ΠΏΡΠΎΡΠ΅ΡΡ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΡ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΌΠ΅ΠΆΠΎΡΡΠ°ΡΠ»Π΅Π²ΠΎΠ³ΠΎ Π±Π°Π»Π°Π½ΡΠ°
ΠΌΠ°ΠΊΡΠΎΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ. ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π° ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠ° ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΠΏΠ΅ΡΠΈΠΎΠ΄Π° ΠΊΠΎΠ»Π΅Π±Π°Π½ΠΈΠΉ
ΠΌΠ°ΠΊΡΠΎΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ, Π° ΡΠ°ΠΊΠΆΠ΅ ΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΈΡ Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·ΠΈ, ΠΌΠ΅ΠΆΠ΄Ρ ΡΠΈΡΠ»ΠΎΠΌ Π·Π½Π°ΡΠΈΠΌΡΡ
Π³Π°ΡΠΌΠΎΠ½ΠΈΠΊ ΠΈ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎΠΌ ΡΠ΅ΠΊΡΠΎΡΠΎΠ². ΠΠ°Π½Π½ΡΠΉ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ Π±Π°Π·ΠΈΡΡΠ΅ΡΡΡ Π½Π° Π΄Π΅ΠΊΠΎΠΌΠΏΠΎΠ·ΠΈΡΠΈΠΈ (ΡΠΏΠ΅ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ ΠΈ
ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ) ΡΡΠ°Π΅ΠΊΡΠΎΡΠΈΠΉ Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΡ Π²ΡΠΏΡΡΠΊΠΎΠ² ΠΈ Π½Π΅ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΠΏΠΎΡΡΠ΅Π±Π»Π΅Π½ΠΈΡ ΠΎΡΠ΄Π΅Π»ΡΠ½ΡΡ
ΡΠ΅ΠΊΡΠΎΡΠΎΠ² ΠΈ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ Π² ΡΠ΅Π»ΠΎΠΌ. ΠΡΠΎ Π΄Π°Π΅Ρ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ ΠΏΠΎΠ»ΡΡΠΈΡΡ ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠ΅ ΠΈΠΌΠΈΡΠ°ΡΠΈΠΎΠ½Π½ΡΠ΅ ΠΈ
ΠΏΡΠΎΠ³Π½ΠΎΠ·Π½ΡΠ΅ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ ΠΌΠ°ΠΊΡΠΎΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ. ΠΠ΅ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π΅Π½Π½ΠΎΠ΅ ΠΏΠΎΡΡΠ΅Π±Π»Π΅Π½ΠΈΠ΅
Π½Π°Ρ
ΠΎΠ΄ΠΈΠ»ΠΎΡΡ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΠΎΠ±ΡΠ°ΡΠ½ΠΎΠΉ ΡΠ²ΡΠ·ΠΈ. ΠΠ΅ΠΈΠ·Π²Π΅ΡΡΠ½ΡΠ΅ ΠΌΠ°ΡΡΠΈΡΡ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΠ΅ΠΎΠ½ΡΡΠ΅Π²Π° ΠΎΡΠ΅Π½Π΅Π½Ρ Ρ
ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½ΠΈΡΠΌΠΈ-Π½Π΅ΡΠ°Π²Π΅Π½ΡΡΠ²Π°ΠΌΠΈ Π½Π° ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΡ. ΠΠΏΡΠΎΠ±Π°ΡΠΈΡ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π° Π½Π° ΠΏΡΠΈΠΌΠ΅ΡΠ΅
ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ Π€ΡΠ°Π½ΡΠΈΠΈ. Π‘Π΄Π΅Π»Π°Π½ Π°Π½Π°Π»ΠΈΠ· Π²Ρ
ΠΎΠ΄Π½ΠΎΠΉ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΈ ΡΠ°Π·Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΠΌΠ°ΠΊΡΠΎΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ
ΡΠΈΡΡΠ΅ΠΌΡ Π½Π° ΡΠ΅ΠΊΡΠΎΡΡ. ΠΡΠΎΠ²Π΅Π΄Π΅Π½Π° ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΡ ΡΡΠ°Π΅ΠΊΡΠΎΡΠΈΠΉ Π²ΡΠΏΡΡΠΊΠΎΠ² ΠΈ
Π½Π΅ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΠΏΠΎΡΡΠ΅Π±Π»Π΅Π½ΠΈΡThe article describes the constructing process of interindustry balance model of macroeconomic
system. The method of determining the oscillation period of macroeconomic dynamics was proposed. It
also sets interrelations between number of significant harmonics and number of sectors. This approach is
based on the decomposition of trajectories of outputs movement and non-productive consumption of
certain sectors and economy as a whole. This allows receiving of qualitative simulation and predictive
characteristics for macroeconomic development. Non-productive consumption was calculated using
feedback. The unknown matrices of Leontief's model were evaluated based on inequality constraints on
the parameters. Approbation of the model was carried out on example of the French economy. Analysis
of the input data and the separation of macroeconomic system on sectors were made. The parametric
identification of trajectories outputs and non-productive consumption were conducted
ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ Π³Π°ΡΠΌΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΈΡ ΠΊΠΎΠ»Π΅Π±Π°Π½ΠΈΠΉ ΡΠΏΡΡΠ³ΠΈΡ ΡΠ΅Π» Ρ ΡΠΈΠ»ΠΈΠ½Π΄ΡΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ Π½Π΅ΠΎΠ΄Π½ΠΎΡΠΎΠ΄Π½ΠΎΡΡΡΠΌΠΈ
Π¦Π΅Π»Ρ ΡΠ°Π±ΠΎΡΡ β ΠΊΠΎΠΌΠΏΡΡΡΠ΅ΡΠ½ΠΎΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠ΅ΡΠ΅ΡΠΎΠΊ, ΡΠΎΡΡΠΎΡΡΠΈΡ
ΠΈΠ· ΠΎΡΠ²Π΅ΡΡΡΠΈΠΉ ΠΈ Π²ΠΊΠ»ΡΡΠ΅Π½ΠΈΠΉ, ΡΠ°Π²Π½ΠΎΡΠ΄Π°Π»Π΅Π½Π½ΡΡ
Π΄ΡΡΠ³ ΠΎΡ Π΄ΡΡΠ³Π° ΠΈ ΠΎΡΠΈΠ΅Π½ΡΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΠΏΠ°ΡΠ°Π»Π»Π΅Π»ΡΠ½ΠΎ ΡΡΠΎΠ½ΡΡ ΠΏΠ°Π΄Π°ΡΡΠ΅ΠΉ ΠΏΡΠΎΠ΄ΠΎΠ»ΡΠ½ΠΎΠΉ ΠΈΠ»ΠΈ ΠΏΠΎΠΏΠ΅ΡΠ΅ΡΠ½ΠΎΠΉ Π²ΠΎΠ»Π½Ρ
ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½Ρ ΠΏΠ΅ΡΠΈΠΎΠ΄ΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π·Π°Π΄Π°ΡΠΈ Π΄ΠΈΡΡΠ°ΠΊΡΠΈΠΈ Π³Π°ΡΠΌΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠΎΠ΄ΠΎΠ»ΡΠ½ΡΡ
ΠΈ ΠΏΠΎΠΏΠ΅ΡΠ΅ΡΠ½ΡΡ
Π²ΠΎΠ»Π½ Π½Π° ΡΠ΅ΡΠ΅ΡΠΊΠ°Ρ
, ΡΠΎΡΡΠ°Π²Π»Π΅Π½Π½ΡΡ
ΠΈΠ· ΡΠΈΠ»ΠΈΠ½Π΄ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΠ»ΠΎΡΡΠ΅ΠΉ ΠΈ ΡΠ°Π·Π»ΠΈΡΠ½ΠΎΠ³ΠΎ ΡΠΈΠΏΠ° Π²ΠΊΠ»ΡΡΠ΅Π½ΠΈΠΉ Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΠΏΠ»ΠΎΡΠΊΠΎΠΉ Π΄Π΅ΡΠΎΡΠΌΠ°ΡΠΈΠΈ
ΠΠΈΠ½Π°ΠΌΡΡΠ½Π΅ ΠΌΠΎΠ΄Π΅Π»ΡΠ²Π°Π½Π½Ρ ΠΌΠ°ΠΊΡΠΎΠ΅ΠΊΠΎΠ½ΠΎΠΌΡΡΠ½ΠΎΠ³ΠΎ ΡΠΎΠ·Π²ΠΈΡΠΊΡ Π·Π° Π΄ΠΎΠΏΠΎΠΌΠΎΠ³ΠΎΡ Π΄Π΅ΠΊΠΎΠΌΠΏΠΎΠ·ΠΈΡΡΡ ΡΡΠ°ΡΠΊΡΠΎΡΡΡ ΡΡΡ Ρ Π½Π° ΡΠΊΠ»Π°Π΄ΠΎΠ²Ρ
Π£ ΡΡΠ°ΡΡΡ ΡΠΎΠ·Π³Π»ΡΠ΄Π°ΡΡΡΡΡ ΠΏΡΠΎΡΠ΅Ρ ΠΏΠΎΠ±ΡΠ΄ΠΎΠ²ΠΈ Π»ΡΠ½ΡΠΉΠ½ΠΎΡ ΡΡΠ°ΡΡΠΎΠ½Π°ΡΠ½ΠΎΡ ΠΌΠΎΠ΄Π΅Π»Ρ ΠΌΠ°ΠΊΡΠΎΠ΅ΠΊΠΎΠ½ΠΎΠΌΡΡΠ½ΠΎΡ
ΡΠΈΡΡΠ΅ΠΌΠΈ. Π ΠΎΠ·Π²ΠΈΠ²Π°ΡΡΡΡΡ ΠΎΡΠΈΠ³ΡΠ½Π°Π»ΡΠ½ΠΈΠΉ ΠΏΡΠ΄Ρ
ΡΠ΄ Π΄ΠΎ ΡΠΏΠ΅ΡΠΈΡΡΠΊΠ°ΡΡΡ ΡΠ° ΡΠ΄Π΅Π½ΡΠΈΡΡΠΊΠ°ΡΡΡ ΠΌΠ°ΠΊΡΠΎΠ΅ΠΊΠΎΠ½ΠΎΠΌΡΡΠ½ΠΈΡ
ΡΠΈΡΡΠ΅ΠΌ, ΡΠΎ ΠΎΠ±βΡΠ΄Π½ΡΡ eΠΊΠΎΠ½ΠΎΠΌΠ΅ΡΡΠΈΡΠ½Ρ ΡΠ° Π΄ΠΈΡΠ΅ΡΠ΅Π½ΡΡΠΉΠ½ΠΎ-ΡΠ³ΡΠΎΠ²Ρ ΠΌΠ΅ΡΠΎΠ΄ΠΈ. ΠΠΏΡΠΎΠ±Π°ΡΡΡ ΠΌΠΎΠ΄Π΅Π»Ρ
ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΡΡΡΡ Π½Π° ΠΏΡΠΈΠΊΠ»Π°Π΄Ρ ΠΌΠ°ΠΊΡΠΎΠ΅ΠΊΠΎΠ½ΠΎΠΌΡΠΊΠΈ Π‘Π¨Π.
ΠΡΠΈ ΡΠΈΡΡΠ²Π°Π½Π½Ρ Π΄ΠΎΠΊΡΠΌΠ΅Π½ΡΠ°, Π²ΠΈΠΊΠΎΡΠΈΡΡΠΎΠ²ΡΠΉΡΠ΅ ΠΏΠΎΡΠΈΠ»Π°Π½Π½Ρ http://essuir.sumdu.edu.ua/handle/123456789/3247Π ΡΡΠ°ΡΡΠ΅ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΡΡΡ ΠΏΡΠΎΡΠ΅ΡΡ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΡ Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎΠΉ ΡΡΠ°ΡΠΈΠΎΠ½Π°ΡΠ½ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ
ΠΌΠ°ΠΊΡΠΎΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ. Π Π°Π·Π²ΠΈΠ²Π°Π΅ΡΡΡ ΠΎΡΠΈΠ³ΠΈΠ½Π°Π»ΡΠ½ΡΠΉ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ ΠΊ ΡΠΏΠ΅ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ ΠΈ ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ
ΠΌΠ°ΠΊΡΠΎΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠΈΡΡΠ΅ΠΌ, ΠΎΠ±ΡΠ΅Π΄ΠΈΠ½ΡΡΡΠΈΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΈ Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΠΎ-ΠΈΠ³ΡΠΎΠ²ΡΠ΅ ΠΌΠ΅ΡΠΎΠ΄Ρ.
ΠΠΏΡΠΎΠ±Π°ΡΠΈΡ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΡΡΡ Π½Π° ΠΏΡΠΈΠΌΠ΅ΡΠ΅ ΠΌΠ°ΠΊΡΠΎΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ Π‘Π¨Π.
ΠΡΠΈ ΡΠΈΡΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ Π΄ΠΎΠΊΡΠΌΠ΅Π½ΡΠ°, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠΉΡΠ΅ ΡΡΡΠ»ΠΊΡ http://essuir.sumdu.edu.ua/handle/123456789/324
Π’Π΅ΠΎΡΠ΅ΡΠΈΡΠ½Ρ Π°ΡΠΏΠ΅ΠΊΡΠΈ Π²ΠΏΠ»ΠΈΠ²Ρ Π΅ΠΊΠΎΠ»ΠΎΠ³ΡΡΠ½ΠΈΡ Π²Π°ΡΡΠ°ΡΡΠΉ Ρ ΡΠΏΠΎΠΆΠΈΠ²ΡΠΈΡ Π²Π»Π°ΡΡΠΈΠ²ΠΎΡΡΡΡ Π΅ΠΊΠΎΠ½ΠΎΠΌΡΡΠ½ΠΈΡ Π±Π»Π°Π³ Π½Π° ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΠΈΠΉ Π²ΠΈΠ±ΡΡ ΡΠΏΠΎΠΆΠΈΠ²Π°ΡΠ° (Π½Π΅ΠΎΠΊΠ»Π°ΡΠΈΡΠ½ΠΈΠΉ ΠΏΡΠ΄Ρ ΡΠ΄)
ΠΠ° ΠΎΡΠ½ΠΎΠ²Ρ Π½Π΅ΠΎΠΊΠ»Π°ΡΠΈΡΠ½ΠΎΡ ΡΠ΅ΠΎΡΡΡ ΠΏΡΠΎΠ°Π½Π°Π»ΡΠ·ΠΎΠ²Π°Π½ΠΎ Π²ΠΏΠ»ΠΈΠ² Π²Π°ΡΡΠ°ΡΡΠΉ Ρ ΡΠΏΠΎΠΆΠΈΠ²ΡΠΈΡ
Π²Π»Π°ΡΡΠΈΠ²ΠΎΡΡΡΡ
Π΅ΠΊΠΎΠ½ΠΎΠΌΡΡΠ½ΠΈΡ
Π±Π»Π°Π³ Π½Π° ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΠΈΠΉ Π²ΠΈΠ±ΡΡ Π΅ΠΊΠΎΠ½ΠΎΠΌΡΡΠ½ΠΎΠ³ΠΎ ΡΡΠ±βΡΠΊΡΠ° β ΡΠΏΠΎΠΆΠΈΠ²Π°ΡΠ° Π±Π»Π°Π³. ΠΠΎΠΊΠ°Π·Π°Π½Ρ Π²ΠΈΠΏΠ°Π΄ΠΊΠΈ Ρ ΠΏΡΠΎΠ°Π½Π°Π»ΡΠ·ΠΎΠ²Π°Π½Ρ ΠΏΡΠΈΡΠΈΠ½ΠΈ Π½Π΅Π΄ΡΡΠ²ΠΎΡΡΡ ΡΠ°ΠΊΠΈΡ
Π·ΠΌΡΠ½.
ΠΡΠΈ ΡΠΈΡΡΠ²Π°Π½Π½Ρ Π΄ΠΎΠΊΡΠΌΠ΅Π½ΡΠ°, Π²ΠΈΠΊΠΎΡΠΈΡΡΠΎΠ²ΡΠΉΡΠ΅ ΠΏΠΎΡΠΈΠ»Π°Π½Π½Ρ http://essuir.sumdu.edu.ua/handle/123456789/3487ΠΠ° ΠΎΡΠ½ΠΎΠ²Π΅ Π½Π΅ΠΎΠΊΠ»Π°ΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠ΅ΠΎΡΠΈΠΈ ΠΏΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½ΠΎ Π²Π»ΠΈΡΠ½ΠΈΠ΅ Π²Π°ΡΠΈΠ°ΡΠΈΠΉ Π² ΠΏΠΎΡΡΠ΅Π±ΠΈΡΠ΅Π»ΡΡΠΊΠΈΡ
ΡΠ²ΠΎΠΉΡΡΠ²Π°Ρ
ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
Π±Π»Π°Π³ Π½Π° ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΡΠΉ Π²ΡΠ±ΠΎΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΡΠ±ΡΠ΅ΠΊΡΠ° β ΠΏΠΎΡΡΠ΅Π±ΠΈΡΠ΅Π»Ρ Π±Π»Π°Π³. ΠΠΎΠΊΠ°Π·Π°Π½Ρ ΡΠ»ΡΡΠ°ΠΈ ΠΈ ΠΏΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Ρ ΠΏΡΠΈΡΠΈΠ½Ρ Π½Π΅Π΄Π΅ΠΉΡΡΠ²Π΅Π½Π½ΠΎΡΡΠΈ ΡΠ°ΠΊΠΈΡ
ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ.
ΠΡΠΈ ΡΠΈΡΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ Π΄ΠΎΠΊΡΠΌΠ΅Π½ΡΠ°, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠΉΡΠ΅ ΡΡΡΠ»ΠΊΡ http://essuir.sumdu.edu.ua/handle/123456789/348
The Modeling of Multicriteria Assessment Activity in Enterprise Management
A lot of functions of enterprise management are grounded on the analytical basis that include the models of activity assessment which appears to be multicriteria under the complicated conditions of globalistics. The aim of the study is to improve the mathematical instrument for modeling the multicriteria assessment of enterprise activity. Taking into account the positive practice of using the Balanced Scorecard for assessing enterprise performance, its criteria are structured according to four components and serve for content assessment model. The assessment of enterprise activity based on the Balanced Scorecard mostly accounted for cause and effect interconnections, but this is just its level that influences the assessment.
The paper presents the improved function of transforming the assessment criteria values and the formula of value calibration. The advantages of this function are flexibility and taking account the regular tendencies of changes in the criteria values. The level of enterprise performance is determined by an integrated index obtained as partial desirability functions folding by gmean. This generalizing desirability function is sensitive to small transformed criteria values that realizes tough requirements to assessment. The developed methodological approach in the modeling of multicriteria assessment of enterprise activity provides for taking into account the main criteria and possibility of their hierarchical systematization. The results of such modeling can be used in the processes of control, controlling and monitoring of this activity
- β¦