METHODOLOGICAL APPROACH TO FORECASTING THE COSTS OF CREATING AN AUTOMATED RATING SYSTEM

2021 ◽  
Vol 2 (10) ◽  
pp. 21-26
Author(s):  
Anastasia S. Krasnikova ◽  
◽  
Alexander G. Podolsky ◽  

The article presents a methodological approach to forecasting the costs of creating an auto-mated rating system, which allows taking into account the costs of development, production and installation of its components. Economic and mathematical models are presented that take into account the main factors affecting the cost of creating components of an automated system, allowing to obtain adequate forecast esti-mates for making informed planning decisions.

Author(s):  
A.G. Andreev ◽  
G.V. Kazakov ◽  
V.V. Koryanov ◽  
N.N. Kotyashev

The quality of development and commissioning the automated system for preparing aircraft flight data (ASPD) depends on many factors, among which it is necessary to identify and justify those most significantly affecting quality of the system being commissioned. The practice of designing an ASPD has shown that the quality assessment based on its characteristics is nothing more than a consequence. This situation is due to the presence of deeper factors that will only appear during the operation of the system. To eliminate this situation, the problem is formulated as a task of determining the factors affecting the quality of development and commissioning the system, based on the data obtained by mathematical processing of expert estimates of each factor significance. To solve this problem, it is proposed to use the hierarchy analysis method. Developed on its basis the methodological approach makes it possible: – to identify the main factors significantly affecting the quality of the ASPD being commissioned, and to propose qualitative scales for assessing the degree of feasibility of each generic criterion; – to formalize a multi-criteria indicator of the degree of the ASPD quality compliance with the requirements of generic criteria and obtain its dependence on the levels of development and commissioning the system; – to justify the requirements for ASPD operational suitability, perform its evaluation, as well as determine the necessary measures for implementing the specified requirements on operational and technical characteristics of the ASPD.


2012 ◽  
Vol 538-541 ◽  
pp. 1061-1066 ◽  
Author(s):  
Chun Jian Su ◽  
Quan Lan Li ◽  
Lin Jing Xiao ◽  
Su Min Guo

Cutting pick is a kind of widely-used consumptive mining tool. The traditional producing technics of cutting pick body is foundry, or machining after roughly forging, or machining directly from metal bar. By former technics, the property of products is poor, and by latter, the material availability is low and the cost is high. The patent technology for cutting pick body warm extrusion introduced in this paper can overcome all the disadvantages mentioned above. In this paper, by analyzing the characteristic of cutting pick body warm extrusion, adopting the principle of power balance to solve the approximate solution of strain forces, the approximate calculating formulas of extruding power are deduced. The main factors affecting on extrusion force are determined theoretically. This research can be used as basis to design tooling and choose proper equipment for this new technology.


2018 ◽  
Vol 155 ◽  
pp. 01041 ◽  
Author(s):  
Aleksandr Pilipenko ◽  
Sergei Petrov

In the article the authors solve a crucial objective of reducing the cost of heating services through the introduction of a system, controlling boilers and heating devices, based on modelling of the building and predicting heating systems functioning and operation. The authors describe the method of mathematical modelling of heating systems of the building and represent the developed mathematical models, pledged and installed into the developed automated system. The authors have offered an automated system of dispatch control of the boilers with the elements of computer simulation and modelling.


2010 ◽  
Vol 50 (6) ◽  
pp. 400 ◽  
Author(s):  
C. R. Stockdale

The objective of the present review was to establish levels of conserved fodder wastage when feeding livestock (sheep, beef cattle, dairy cattle) under various conditions and using various feed-out systems, and to determine the factors affecting wastage. The mean wastage of hay recorded in the literature reviewed was 17% of the DM offered, but the range was from 4 to 77%. The main factors affecting the degree of wastage were storage method, packaging method, method of feeding out, amount of fodder on offer and its palatability and/or quality and the impact of wet weather. Although the emphasis was on hay, the principles should also apply to silage. If wastage was 40% rather than 5%, the cost of feeding conserved fodder to livestock would be a third greater than producers might expect or budget on.


Resources ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 100
Author(s):  
Dmitrii Zakharov ◽  
Alexey Fadyushin ◽  
Denis Chainikov

The work proposes a methodological approach to studying and assessing the environmental sustainability of the transport system of the city. The authors have selected parameters for assessing the environmental sustainability of the transport system and identified significant factors affecting environmental sustainability. A coefficient of environmental sustainability of the urban transport system and a formula for its calculation are proposed. A simulation was used to assess the amount of emissions of harmful substances from the car exhaust gases if the demand structure changes with respect to the means of transport and transportation methods. The paper presents the results of changing the parameters of the traffic flow and demand by means of transport and transportation methods when introducing a parking fee in the central part of the city, changing the cost of parking and expanding the paid parking area.


2011 ◽  
Vol 101-102 ◽  
pp. 889-892 ◽  
Author(s):  
Li Jun Liu ◽  
Li Qiong Chen ◽  
Zhi Xin Jia ◽  
Ji Qiang Li ◽  
Xian Yi Li ◽  
...  

In order to solve the problems of the waste of resources, and reduce the cost directly caused by the short life of the hot die in enterprises, this paper analyzes the wear of hot die which is one of the main factors affecting service life, and a thought that enhanced mold through laser surface local stripe grid bionic process is pointed out. Different from traditional laser hardening technology, the service life of mold processed by bionic laser melting enhancement simulating butterfly wings is nearly doubled. Experimental results provide a new way to improve die life, and the application of laser local stripe grid bionic process will bring enterprises significant economic benefits for its extension in mould industry.


Author(s):  
Boris Saneev ◽  
Alexander Sokolov ◽  
Svetlana Muzychuk ◽  
Sodovyn Batkhuyag ◽  
Mahbal Tumenzhargal

The fuel and energy complex is the basis for the development of the national economy. Computer simulation of the development proces­ses of the fuel and energy complex is of great theoretical and practical importance as an effective method for studying large and complex systems. The purpose of this study is to develop a methodological approach for conducting energy-economic analysis, identifying factors affecting the energy efficiency of the economy. Research methods are economic and mathematical modeling, system and statistical analysis, balance and indicative methods. The article presents the results of the analysis of the fuel and energy complex of Russia and Mongolia based on a combined fuel and energy balance. The conclusion is made about the need to improve the energy efficiency of the countries’ economies. The use of energy-saving technologies and equipment will reduce the cost of production and consumption of fuel and energy resources, reduce losses at all stages of their life cycle, while the planned indicators of socio-economic development can be achieved with less energy and financial costs, which will positively affect the economy and improve the quality of life of the population.


Author(s):  
V. A. Shishkin ◽  
E. P. Rybalkin ◽  
A. I. Sotnik

The analysis of methods of mathematical modeling of pome crops on the example of studying 5 varietal samples of pears, taking into account the factors affecting the yielding ability. 15 main factors were considered, such as: maximum, minimum and average temperatures, relative humidity, incidence of chlorosis, drought resistance, morphological characteristics. Mathematical analysis with the construction of mathematical models was carried out using the software package Matlab. As a result, mathematical models characterizing the influence of both individual and multiple factors on the yielding ability of pear cultivars were obtained.


Author(s):  
Olena Slavinska ◽  
◽  
Yuliya Radzinska ◽  

The aim of the article is identification of main factors influencing investment attractiveness of land in the cities of Ukraine. To achieve this goal the following tasks: determining trends and key factors in land use of cities; characteristics of land; the definition of urban areas and limitations in their use. Improved classification of the factors which allows for cartographic provision of land in cities and their investment potential, level of interaction between different stakeholder groups, areas of urban development, which allows to generate methodical toolkit for estimation of the level of investment attractiveness of land in cities. Define the factors and features of their influence on investment processes in the sphere of land use of cities of Ukraine. Prospects of further research is to develop a methodological approach to the evaluation of the level of investment attractiveness of land in cities and substantiation of measures on the increase of efficiency of their use.


Author(s):  
Tatiana Belych ◽  
Anna Burdukovskaya

Oil and its refinery products have always been the most important source of energy for modern society, and, therefore, one cannot imagine the life of mankind in any field of its activity without this resource. Energy, military defense, transport, agriculture, domestic needs of the population, the economy of the country are directly dependent on oil and its prices, it plays an extremely important role for Russia in particular, since it is the main revenue item for the state, therefore, forecasting oil prices is a primary task. The purpose of the article is to forecast the prices for this resource for April-August 2018 on the basis of the neural network model use as one of the ways to implement artificial intelligence. Oil prices have been chosen as the object of forecasting, and the subject is the dynamics of oil prices. The choice of the object and the subject of forecasting was conditioned by the fact that the price of oil is one of the main factors affecting the state and pace of development of the domestic economy, and primarily GDP. The pricing of many types of oil is determined by the price of the Brent crude oil reference mark, including the cost of three out of five Russian export brands: Urals, Siberian Light and REBCO, calculated on the basis of Brent prices.


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