scholarly journals The method of calculation and selection of methods of tractor maintenance, taking into account the working conditions of the operator

2020 ◽  
Vol 27 ◽  
pp. 00022
Author(s):  
M.V. Chubareva ◽  
N.V. Chubareva

The method involves calculation and selection of methods of tractor maintenance, taking into account the working conditions of the operator in the field. It is intended for agricultural enterprises with an average annual number of tractors not exceeding 20 units. Calculation for the choice of maintenance methods is carried out on a personal computer in Microsoft Office Excel or a calculator for the minimum value of the unit cost of tractor maintenance. Research objective is to determine the most rational method of maintenance by the specific cost of tractor maintenance. The method allows determining the unit cost of maintenance, either taking into account the additional costs of tractor maintenance when servicing tractors in the field conditions, or without taking them into account. The article presents the selection procedure for maintenance methods, taking into account the working conditions. The annual economic effect from the application of this method, calculated on the example of agricultural enterprises of the Irkutsk region, is 27.8 thousand rubles per tractor. The method was tested as exemplified by farms in the Tulunsky and Cheremkhovsky districts of the Irkutsk region and can be useful to engineers maintaining farming tractors. The results of the study can be used in agricultural enterprises, both the Irkutsk region and the Siberian region as a whole.

2020 ◽  
Vol 210 ◽  
pp. 13012
Author(s):  
Yuri Shirokov ◽  
Valery Tikhnenko

The article deals with the problems of increasing the economic efficiency of agricultural enterprises by improving working conditions, reducing the level of exposure to harmful and dangerous production factors. The purpose of the article is to analyze methodological approaches to forecasting possible economic losses of agricultural enterprises due to the presence of harmful or dangerous working conditions and to develop organizational and management solutions to reduce these losses. Economic services of agricultural enterprises need to have a methodology for assessing real economic losses due to unfavorable working conditions at enterprises, which will give employers an understanding that the costs of labor protection and safety not only pay off, but also give a significant economic effect and contribute to improving the profitability of production and allow them to make informed management decisions. It is shown that forecasting economic damage from occupational diseases and industrial injuries, accidents is a complex task, but it is quite solvable on the basis of the procedure for assessing and managing occupational risks and applying known patterns of crop losses or animal productivity due to violations of agrotechnical deadlines or animal maintenance regime due to the absence of an injured employee at the workplace.


Methodology ◽  
2018 ◽  
Vol 14 (4) ◽  
pp. 177-188 ◽  
Author(s):  
Martin Schultze ◽  
Michael Eid

Abstract. In the construction of scales intended for the use in cross-cultural studies, the selection of items needs to be guided not only by traditional criteria of item quality, but has to take information about the measurement invariance of the scale into account. We present an approach to automated item selection which depicts the process as a combinatorial optimization problem and aims at finding a scale which fulfils predefined target criteria – such as measurement invariance across cultures. The search for an optimal solution is performed using an adaptation of the [Formula: see text] Ant System algorithm. The approach is illustrated using an application to item selection for a personality scale assuming measurement invariance across multiple countries.


Author(s):  
YuE Kravchenko ◽  
SV Ivanov ◽  
DS Kravchenko ◽  
EI Frolova ◽  
SP Chumakov

Selection of antibodies using phage display involves the preliminary cloning of the repertoire of sequences encoding antigen-binding domains into phagemid, which is considered the bottleneck of the method, limiting the resulting diversity of libraries and leading to the loss of poorly represented variants before the start of the selection procedure. Selection in cell-free conditions using a ribosomal display is devoid from this drawback, however is highly sensitive to PCR artifacts and the RNase contamination. The aim of the study was to test the efficiency of a combination of both methods, including pre-selection in a cell-free system to enrich the source library, followed by cloning and final selection using phage display. This approach may eliminate the shortcomings of each method and increase the efficiency of selection. For selection, alpaca VHH antibody sequences suitable for building an immune library were used due to the lack of VL domains. Analysis of immune libraries from the genes of the VH3, VHH3 and VH4 families showed that the VHH antibodies share in the VH3 and VH4 gene groups is insignificant, and selection from the combined library is less effective than from the VHH3 family of sequences. We found that the combination of ribosomal and phage displays leads to a higher enrichment of high-affinity fragments and avoids the loss of the original diversity during cloning. The combined method allowed us to obtain a greater number of different high-affinity sequences, and all the tested VHH fragments were able to specifically recognize the target, including the total protein extracts of cell cultures.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Colin Griesbach ◽  
Benjamin Säfken ◽  
Elisabeth Waldmann

Abstract Gradient boosting from the field of statistical learning is widely known as a powerful framework for estimation and selection of predictor effects in various regression models by adapting concepts from classification theory. Current boosting approaches also offer methods accounting for random effects and thus enable prediction of mixed models for longitudinal and clustered data. However, these approaches include several flaws resulting in unbalanced effect selection with falsely induced shrinkage and a low convergence rate on the one hand and biased estimates of the random effects on the other hand. We therefore propose a new boosting algorithm which explicitly accounts for the random structure by excluding it from the selection procedure, properly correcting the random effects estimates and in addition providing likelihood-based estimation of the random effects variance structure. The new algorithm offers an organic and unbiased fitting approach, which is shown via simulations and data examples.


2021 ◽  
Vol 6 (166) ◽  
pp. 217-226
Author(s):  
O. Pavlenko ◽  
D. Velykodnyi

The article investigates the existing trends and prospects for the development of warehousing services in the system of production and processing of products, which allowed us to form the purpose of the research in this development. The chosen theme is quite topical, because warehousing processes are an integral part of the formation of supply logistics in modern production processes. One of the ways to reduce the cost of goods and services is the efficient use of resources. Ukrainian and foreign scientists have touched many questions concerning the development of the infrastructure component, solutions of optimization problems regarding the process of import-export of goods to the warehouse, but without determining the optimal values ​​of technological parameters of warehousing systems. The technological scheme of operation of the warehouse system of the enterprise LLC "MEGA CRISP» allows to see the whole chain of operations from the moment of arrival of the vehicle with cargo (containers and packaging) to the moment of sending the cargo (finished product) to the recipient; the necessary types of resources involved in these processes are also taken into account. Total costs were chosen as an evaluation indicator of the choice of an efficient supply channel. Relevant parameters of influence are taken into account: intensities of corresponding cargo flows, unit cost of the appropriate work and one hour of work of one worker, time of performance of an appropriate operation, quantity of the involved resources for performance of the appropriate operation and working time of the warehouse during the day. An imitation full-factor experiment was performed, based on the results of which a regression model in linear form with a non-zero coefficient was determined, in which each coefficient indicates the degree of influence of the relevant factor on the performance indicator. The results of determining the economic effect showed that "Variant 2" (increasing the number of workers) is the least expensive, and the level of costs is lower for all series of experiments compared to the basic variant - "Variant 1". The maximum difference is reached in 12217.8 hryvnias at the maximum loading of a warehouse. And when comparing the third and first variants: only at the maximum level of output flow (170 t / h), the third variant will be cheaper by 852.6 hryvnias. The highest level of positive value of the effect among the variants offered is "Variant 2", the level of savings will be 12,217.8 hryvnias per shift.


Nowadays, marketing specialists simultaneously use several channels to attract visitors to websites. There is a difficulty in assessing not only the efficiency and conversion of each channel separately, but also in their interconnection. The problem occurs when users visit a website from several sources and only after that do the key action. To assess the effectiveness and selection of the most optimal channels, different models of attribution are used. The models are reviewed in the article. However, we propose to use multi-channel attribution, which provides an aggregate assessment of multi-channel sequences, taking into account that they are interdependent. The purpose of the paper is to create an attribution model that comprehensively evaluates multi-channel sequences and shows the effect of each channel on the conversion. The presented model of attribution can be based on the theory of graphs or Markov chains. The first method of calculation is more visual, the second (based on Markov chains) allows for work with a large amount of data. As a result, a model of multi-channel attribution was presented, which is based on Markov processes or graph theory. It allows for maximum comprehensive assessing of the impact of each channel on the conversion. On the basis of the two methods, calculations were carried out, confirming the adequacy of the model used for the tasks assigned.


2016 ◽  
Vol 37 (1) ◽  
pp. 55-66 ◽  
Author(s):  
Piotr Sawicki ◽  
Marcin Kiciński ◽  
Szymon Fierek

This paper deals with the problem of selection the most suitable trip-modelling tool (TMT), which is a part of the more complex integrated transport planning system (ITPS) at the regional scale. Since an application of TMT is not autonomous and several different users exist the selection problem is not a trivial. In this paper, an original five-phase selection procedure is presented. The first phase consists in specifica¬tion of both, detailed expectations of all identified users and technical requirements of ITPS. Second phase deals with research on available TMT while a third one is concentrated on defining a comprehensive set of criteria. In this phase critical criteria as well as selection criteria are defined. First one is utilised to eliminate unacceptable TMTs in phase four and second one to evaluate and select most adequate TMT in phase five. In the paper an exemplary application of this procedure is presented. The authors have defined 2 critical criteria and a set of 19 selection criteria. The last one is divided into 3 main subsets, i.e. functional, technical and financial contexts of selection process. All the selection criteria are characterised by 43 sub-criteria and some of them are more detailed extended. Using this procedure 3 out of 6 alternative TMTs including Emme, Aimsun and Visum have been initially accepted and next evaluated. Finally, Visum has been selected and recommended for application into ITPS.


Author(s):  
O. Kuripta ◽  
Y. Vorob'eva ◽  
O. Minakova

The article raises the issue of current interest of automation the process of calculation and evaluation of physical buildings deterioration. This is the most important indicator that characterizes the physical condition of the building in quantitative terms and is of interest to realtors and management companies. Calculation and assessment of physical wear and tear of buildings is a difficult and time-consuming task and is currently carried out manually or by means of Microsoft Office Excel. In this regard, the software module is proposed and developed that allows to calculate and evaluate the physical wear of buildings according to VSN 53-86 (p), which reduces the complexity and time of assessing physical wear. The software module is developed using MongoDB Server, IDE Studio 3T, Microsoft Visual Studio programming system 2017.NET Framework 4.6.1, WPF technologies, in C#, Net, using the MVVM architectural pattern. The user is provided with the following functionality when working with the software module: selection of the studied system elements, reference information of signs of their wear, automatic calculation of physical wear and reporting on the received assessment. The program module is tested at the Department of housing and communal services of the Voronezh state technical University.


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