Оцінка впливу експлуатаційних властивостей техніки на ефективність її застосування

Автор(и)

  • О.І. Щепотьєв
  • І.Б. Кузнецов
  • А.В. Жильцов
  • В.В. Васюк

Анотація

EVALUATION OF THE INFLUENCE EXPLOITATION PROPERTIES OF APPLIANCES ON THE EFFICIENCY OF ITS APPLICATION

О. Shchepotev, I. Kuznetsov, А. Zhiltsov, V. Vasuk

 

Operating properties – properties that characterize the processes of change parameters of objects technology in their operation, and work to be performed on objects in their technical operation and use, and fitness facilities to perform these operations. By operating properties usually referred engineering, ready to use, reliability, operational technology, and standardization of uniformity, autonomy, portability and adaptability to deployment, ergonomics.

The purpose of research – to develop methods of assessing the impact of operational properties of technology on the efficiency of its use.

Indicators of reliability of objects are indicators of their reliability (the probability of failure-free operation, intensity of failures, mean time between failures), longevity (average life, gamma-percent life, average service life, gamma-percent life), maintainability (the probability of recovery for the time being, the intensity recovery, the average recovery time) and persistence (median storage time, gamma-percent storage life).

Indicators of maintainability is the complexity of the specific service, the unit cost of maintenance, the probability of recovery of the working state of the object for a given time, mean time to repair.

Indicators of controllability are methodical accuracy of the control, monitoring completeness, depth of control, mean time to control the complexity of the control, the degree of control automation. Convenience factor approach – assignment of effort (or time) required to perform major works to the sum of the main and auxiliary works. Its value is not less than 0.75-0.90. Factor Compatibility works – the ratio of the performance of work, provided their reports on time to the actual execution time of complex work. The coefficient is 0.5-0.75. The coefficient of adaptability to automated control  the ratio of the control object by using automated tools to control the time without the use of automated tools.

Indicators of controllability is methodical accuracy of the control, monitoring completeness, depth of control, the average inspection time, the complexity of the control, the degree of control automation. Standardizing – object property, which characterizes the degree of use in its design standardized systems, components and assemblies. An indicator is the ratio of its standardized products to total products.

The dependences reflect the influence of operational factors on the performance properties of the art, as well as the dependence of the effectiveness of techniques of selected indicators of operational properties. In practice, the effectiveness of the technique often evaluated on the one and on several indicators. Comprehensive assessment of the effectiveness of artificial requires combining several indicators into one composite index (criterion). For example, there is a particular challenge "to achieve the maximum effect at the given cost or at minimal cost". At the same time, practical solution to assess the optimality of objects is reduced to the determination of the importance coefficients (weighting coefficients) private performance. Practical optimal system can be determined on the basis of the main indicators of the quality system, which is elected on the basis of their appointment.

Thus, the impact assessment of operational properties of technology objects on the effectiveness of its application relates to methods for solving multicriteria optimization problems. Selecting the main performance indicator thus determined based on the purpose of the object technology. The conceptual part of the solution also features defined purpose facility.

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This technology has prospects to produce biofuels for ball devices, vortex devices, bio-production, elimination of sludge treatment facilities. 

Посилання

Venttsel', E. S. (1972). Ysledovanye operatsyy [Operations research]. Nauka, 560.

Mushyk, E., Myuller, P. (1990). Metody prynyatnyya tekhnycheskykh reshenyy [Methods adoption of technical decisions] Myr, 206.

Sarkysyan S. A. (1977). Teoryya prohnozyrovanyya y prynyatyya reshenyy [The theory of forecasting and decision-making]. Nauka, 352.

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Опубліковано

2017-02-27

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