name
Mescheryakov Victor Ivanovich
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Articles count: 3
Сформировать список работ, опубликованных в Научном журнале КубГАУ
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Description
The article describes the main methods of ice removal from artificial aerodrome pavements. Natural-climatic factors affecting the aerodrome pavement condition are analyzed and it is shown how flight safety depends on the pavement condition. The article also informs on the factors causing different kinds of ice formation on artificial aerodrome pavements and machine hours needed for their deicing. It touches upon the problem of the uncertainty factor consideration in the management of various systems, and considers decision-making criteria in the general theory of decision-making under conditions of uncertainty. The author offers the choice of deicing methods on the basis of mathematical methods with the use of simulating and checking program called "Optimal strategy in choosing methods of airfield preparation", which helps to use aerodrome equipment more efficiently, prolong its service life, and save efforts, means and machine resources
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OPTIMIZATION OF ACTIVITIES FOR CONTROLLING ADMINISTRATIVE AND ECONOMIC LIFE OF ARMY UNITS
Description
In the article we consider main objectives of system approach, as a research method of difficult objects, administrative activity supervision and analyses, components of which are processes of check and comparison of the actual results to the set parameters. The theory of decision-making focused on development and search of optimum results on various problems with a significant amount of communications and dependences, restrictions and versions of decisions has been developed. Optimization of economic activity supervision in a military unit and, in particular, competence of officials is considered. The use of assessment results of the subordinated divisions (services) administrative activity on the basis of experts' opinion at adoption of administrative decisions. Introduction of mathematical methods in the monitoring procedure of administrative activity is analyzed. Ways to improve the organization of administrative activity supervision by means of expert assessment method on the basis of introduction of the settlement network Expert program are offered. This software product provides fast data input and an efficiency assessment of administrative activity in a division (service) of a military unit. To judge the quantitative characteristics of administrative activity and evident representation of a change tendency of the observed values on the monitor screen of the automated workplace of the official, the information in the form of a tabular and graphic representation (charts) is displayed
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Description
Experience shows that in the current situation of high demands and large intensity of combat training of troops and fleet forces in the military and ship’s administration supervision can be and objectively necessary to permanently find new principles of management in order to search reserves, savings and increasing efficiency. Analysis and diagnostics of economical activity is an effective mean of familiarization the results of the structural units of logistics service. The article presents an introduction of mathematical methods in the process of checking the status of separate issues weapons, military equipment and economic activity. The result of checking the status of separate issues weapons, military equipment and economic activity should be the analysis of status of audited procedures management. The checking of status of separate issues weapons, military equipment and economic activity of the logistic service should be performed using the parameters set and approved by he governing documents of the Russian Federation Ministry of Defense on the basis of expert method, where experts are members of the stocktaking groups. Based on conducted research, there was developed a software algorithm, which is proposed to use in the procedure of checking the status of separate issues weapons, military equipment and economic activity of the logistic service and their quantitative assessment
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doc 323.116kb