scholarly journals Developing a Model of Equipment Maintenance and Repair Process at Service Repair Company Using Agent-based Approach

2014 ◽  
Vol 16 ◽  
pp. 1072-1079 ◽  
Author(s):  
V.V. Panteleev ◽  
V.A. Kamaev ◽  
A.V. Kizim
Author(s):  
Шапошников ◽  
Yu. Shaposhnikov ◽  
Орлов ◽  
R. Orlov

The effectiveness of the control of a technical condition of transport and technological machines is achieved by the inclusion of information and advising systems in the process of maintenance and repair process. The completeness of the information on the technical condition of units and systems to determine the need for and volume of maintenance work and repairs. technical state management is based on generalized information on-board computer and diagnostic equipment, its optimization and decision-making.


2020 ◽  
Vol 222 ◽  
pp. 01014
Author(s):  
V.A. Trushkin ◽  
S.V. Schlyupikov ◽  
O.N. Churlyaeva ◽  
A.S. Guzachev

Currently, in order to ensure the required fault-proof level of technological processes in agricultural production, the following strategies among the main ones: afterfailure, planned systematic and a mixed electrical equipment maintenance and repair strategy. The pervasion of information technology in this segment was not widespread. Application of information technologies in conjunction with implementation of risk-oriented strategy is one of the promising directions of electrical equipment maintenance optimization, yet requires adaptation to sectoral characteristics of agricultural production. The article describes the problem of determining the optimal conditions for adjusting the frequency of maintenance and repair of electrical equipment on the basis of risk-oriented approach. To solve this problem, the equation of annual costs for maintenance and repair of electrical equipment was drawn up taking into account the parameter of its failure risk. The relationship between the change of relative risk and the service frequency was established; based on it, the ranges of frequency adjustment of maintenance and ongoing repair were determined.


Metallurgist ◽  
1983 ◽  
Vol 27 (9) ◽  
pp. 293-297
Author(s):  
S. S. Aptekar ◽  
A. I. Strelets ◽  
L. P. Makarov ◽  
A. M. Osipenko ◽  
L. Ya. Voronova

2019 ◽  
Vol 3 (1) ◽  
pp. 79-86
Author(s):  
Agusta Rakhmat Taufani ◽  
Harits Ar Ar Rosyid

Guitar is a popular musical instrument in the world and is a metronome for every use in various music events and its correlation. As a metronome, the guitar must be well standardized on the quality of each part so that sound that comes in line with the user's expectations in this case is the guitarist. Damage to the guitar is something normal because of its intense use so it needs proper handling in the repair process. The easiest thing is to bring a broken guitar to the experts, but when there are not many guitar service experts or a long enough distance to reach it, then guitar repairs need to be done immediately. Therefore, it is necessary to develop a system that can act as a tutor in the maintenance and repair of guitars by utilizing artificial intelligence embedded in the system. With the help of artificial intelligence, it is expected that the system can assist in the decision making of guitar technicians in the process of making guitar repair decisions based on the symptoms that occur. Decision making used uses the certainty factor method based on certainty factors. After going through the equivalence partitioning testing process, in general this system produces a total percentage of 100% on the success of the item test by experts in the testing process of the 25 items tested. Thus the application meets the requirements for making the program, which is readable and valid.


2021 ◽  
Vol 19 (4) ◽  
pp. 118-129
Author(s):  
N. G. Sokolova ◽  
N. M. Mezrina

The complexity of software for improving and monitoring processes related to the repair and maintenance of equipment at industrial enterprises is an automated system for the maintenance and repair of equipment, which plays an important role in the market planning of equipment maintenance and repair. Due to the fact that there was a need to write software for calculating economic standards in the market planning of equipment maintenance and repair, a program was written. The introduction of the software in the market planning of equipment maintenance and repair is economically justified in terms of reducing the cost of repairs, reducing losses from equipment downtime. The software product will allow you to calculate a scientifically grounded indicator of the costs of capital repairs of fixed assets (lifting equipment) for the 1 category of repair complexity; scientifically grounded indicator of working capital for overhaul for the 1 category of repair complexity; scientifically grounded indicator of material costs for the 1 category of repair complexity during overhaul of press-forging equipment, forging-steam-air hammers; scientifically grounded indicator of material costs for the 1 category of repair complexity during overhaul of lifting equipment; scientifically grounded indicator of material costs for the 1 category of repair complexity during overhaul for foundry equipment; scientifically grounded indicator of material costs for the 1 category of repair complexity when carrying out overhaul of machine tools; the cost of repair work of technological equipment for the 1 category of repair complexity; calculate the market value of the equipment, which is adjusted by the coefficients of physical, functional, external, and moral wear. In the paper, the proposed software for calculating economic standards in market planning of the maintenance and repair of equipment is written in C# Sharp using the framework .NET Core 3.1. The program implements two classes - Program (main class) and Formula (formula class). The formula class encapsulates all the properties and methods of the formula necessary to work with it, including input, storage of all entered values. The main class consistently creates objects of the formula class and executes the methods necessary for the calculation. The paper contains links to the source code and the program. The software allows you to multiply the efficiency of the project management for the equipment maintenance and repair .


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