Optimizing the service life of plant machinery and vehicles using information system for management of engineering status

Abstract

The paper contains results of studies of changes in performance of plant machinery and vehicles during operation: non-failure operating time, costs, revenue, profit and cost efficiency. It is shown that decrease of non-failure operating time and increase of operating costs can be described by the exponential law. Mathematical models based on changes of performance parameters were developed in order to determine optimum service life of machinery according to economic criteria. The paper describes application of an information system for collection and processing of data necessary for models.Application of the developed method for determining of optimum service life would contribute to rational formation of machinery fleet.Key words: plant machinery and vehicles, service life, operation, information system Introduction Operational management of complex facilities, such as plant machinery and vehicles, is a complicated task with many parameters. A whole class of automated information means, i.e. asset management systems (according to European classification, EAM systems -Enterprise Asset Management), was developed to assist in solving of this task. EAM systems provide collection and processing of operational information, automate maintenance and repair planning, and reveal the need for spare parts and other resources. One of directions of EAM system development is its intellectualization, i.e. development of an opportunity to improve production processes by supplying information systems with mathematical models describing dynamics of main parameters and processes.

Acceleration of the cycle of extended reproduction of the active part of fixed assets in construction

“…where ZUPL(T) is conditionally constant part of the annual costs of the lessee -the construction organization, determined using the calculation methodology of the IMPFLC [1]; ZE(T) is a variable part of the annual costs of the construction organization, determined using methods and approaches that are reflected in the writings of a number of scholars [14]; SU is the cost of disposal of fixed assets, which is determined by selling them to specialized organizations that provide comprehensive services for the utilization of construction equipment, vehicles, etc. (in rubles).…”

Процесс Формирования Эффективности Эксплуатации Транспортно–технологических Машин

“…Затраты имеют весьма сложную структуру. В упрощенном виде состав затрат, приходящихся на i-тую машину, можно представить выражением [2]:…”

“…Модель формирования наработки парка машин. Наработка машин является главным источником выручки [формула (2)], и, следовательно, прибыли [формула (1)]. Для создания модели формирования наработки следует рассмотреть структуру календарного времени Т машины (парка машин) (рис.…”

Планирование Ремонта Транспортно–технологических Машин По Техническому Состоянию

“…Определение уровня надежности элемента может производиться по различным критериям. Рассмотрим вероятностную модель определения наработки до предупредительной замены по критерию минимизации средневзвешенных затрат на ремонты [8][9][10][11][12][13]. В качестве весовых коэффициентов для двух альтернатив: аварийного ремонта, вызванного внезапным отказом, и предупредительного ремонта, используется соответственно риск пропуска отказа (соответствует F(ТР))…”