Information System of Machines and Tractors Fleet Technical Service

Редреев, Г. В.; Luchinovich, A A; Ustiyantsev, E. I.; Laskin, A. S.

doi:10.1088/1742-6596/1059/1/012003

Cited by 3 publications

(1 citation statement)

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“…;Redreev et al, 2017;Myalo et al, 2018;Galiev et al, 2018;Redreev et al, 2018;Gupta et al, 2019;Hrytsaienko et al, 2019;Myalo et al, 2019;Redreev et al, 2020;Galiev et al, 2020;Elhaki and Shojaei, 2020;de Araujo Zanella et al, 2020;Daum et al, 2021. Tractor maintenance Selection of the best maintenance alternative in maintenance planning of machines, selection of the most appropriate multi-criteria decision-making (MCDM) model to evaluate each alternative according to a set of criteria; It is a multicriteria decision making problem. In the methodology section, fuzzy numbers and fuzzy AHP used in the study and its application steps are given.…”

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Safety of agricultural machinery and tractor maintenance planning with fuzzy logic and MCDM for agricultural productivity

Atlı

2024

International Journal of Agriculture Environment and Food Sciences

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Productivity is one of the most important measures used to determine the growth and development level of countries or sectors. A wide variety of projects have been planned and implemented to increase agricultural productivity. The productivity to be obtained in agriculture; Soil conditions, climate, seeds, fertilizer, pesticides, labor and agricultural mechanization directly affect it. Agricultural mechanization is the realization of agricultural activities by using energy together with agricultural tools and machines. Agricultural mechanization; It is an important agricultural production technology that helps increase agricultural productivity. Due to the inadequate maintenance planning of agricultural machinery, agricultural machinery cannot be utilized at the desired level in agricultural production. Most agricultural equipment is subject to frequent changes in speed and direction of movement while operating. Damage that can be seen on a single machine; It also causes other machines to malfunction. During the year, especially in the months when agricultural activity is high, excessive working tempo can cause tractors to malfunction. The breakdown of tractors causes disruptions in agricultural activities. In addition, the breakdown of tractors increases the repair costs. Since there is no tractor maintenance planning, farmers face interruptions in agricultural activities due to tractor malfunction. However, tractor malfunctions may cause cost and economic losses. For these reasons, there is a need for appropriate maintenance planning of agricultural machinery in order to continue agricultural activities without disruption. Maintenance planning; It consists of a set of preventive activities to improve the reliability and availability of any system. The main purpose of this study is to determine and rank the importance level weights of the criteria that are important for agricultural machinery maintenance planning using the fuzzy AHP method. Fuzzy AHP method, which provides ease of application, was preferred in determining the Criterion Weights. The research proposes a framework to determine the weights of appropriate criteria for care planning selection through a combined approach of fuzzy multi-criteria decision making involving relevant stakeholders. On the basis of the prioritization of criteria of tractor maintenance planning (TMP), it was found from the ranking that checking for all fluid levels (TMP1) ranked first. This respectively is followed by checking for general conditions (TMP4), checking for tires and wheels (TMP2) and checking for batteries (TMP3). With the results of the study, a guide was created for farmers and other stakeholders, as well as decision makers, to help plan the maintenance of machines in better working conditions. It is also thought that this study will be encouraging for other studies.

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confidence: 99%

Safety of agricultural machinery and tractor maintenance planning with fuzzy logic and MCDM for agricultural productivity

Atlı

2024

International Journal of Agriculture Environment and Food Sciences

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Interface modeling algorithms for dispatch control

Редреев

Chervenchuk

et al. 2021

IOP Conf. Ser.: Earth Environ. Sci.

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The article offers mathematical tools for programming dispatcher tasks on programmable logic matrices, which allow to obtain closed axiomatic models of the dispatcher’s professional activity in the course of the dispatcher’s dialogue with the computer and implement it in the form of optimal combinational logic schemes with pairwise alternative outputs. These tools implement a user-friendly interface for modeling a logically complete consistent system of axioms written in the production language in a tabular form that resembles decision tables with a limited input. The modeling dialog completely frees the dispatcher from the need to know the properties of axiomatic models and requires only professional skills of dispatcher management. Its function in this dialogue is only to specify the desired action in a specific situation that occurs during the object management process. Such situations are constantly formed during the field work in crop production. Sudden failure of power units, two or three-day period of adverse weather increases the risk of violation of agricultural deadlines. This requires prompt decision - making on re-completing units, changing the plan of mechanized work. The search of all possible situations and obtaining on their basis an optimal set of consistent products closing the axiomatic model is provided exclusively by the interface software, which is developed using algorithms for negating and minimizing disjunctive normal forms of logical functions and includes software tools for modeling logically complete consistent decision tables and optimizing them in order to obtain optimal combinational logical devices with their subsequent hardware implementation in the form of microchips. In addition, these software tools are offered as one of the tools for software implementation of branched algorithms with high complexity indicators according to M. V. Arapov in the automated design of control systems for various purposes.

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