Abstract
Today's railroad passenger wagons experience a large frequency of failures due to a large number of usage hours, and consequently planning maintenance is complex and expensive. Due to high maintenance costs, special attention should be given to the planning of part storage. This study develops a model which by using the data collected in the maintenance process, serves in optimising the costs of stock parts for a set level of reliability. The data on drive schedules and wagon repairs, mean time between failures and maintenance costs were collected over a year by a rail carrier for its entire rolling stock of passenger wagons. The first phase of developing the model using regression methods provided mathematical models of reliability dependency in terms of train use time and costs of spare parts for groups of passenger wagons grouped into technical characteristics. In the second phase, the problem of optimal stocks was solved by applying linear programming methods. The newly obtained model can be applied in practice as a tool for optimising the required stocks of parts based on a set level of equipment reliability and set maintenance costs.
Highlights
Railway systems are a key initiator of economic development, and railway cars have a primary role to that effect, and due to the intense use and usability of railway cars as well as frequency of faulty components and devices, maintaining them is essential
36 groups were created based on technical constructive characteristics (Table 1), where the research included consumption for a total of N = 567 (x1 to x567) positions in a single year of spare parts and materials along with unit (c1 to c567) and total prices installed into all series of passenger wagons
In the first phase of the research, regression modelling provided mathematic models of dependency for railroad car reliability based on operating time: R(t)-t and R(t)-Tm for each previously defined group, where the mean time between failures was calculated in line with equation (2) for each group (Table 1)
Summary
Railway systems are a key initiator of economic development, and railway cars have a primary role to that effect, and due to the intense use and usability of railway cars as well as frequency of faulty components and devices, maintaining them is essential. Maintenance is a series of activities undertaken to keep the system in proper working order or return it to a state in which set functions can be executed. Maintenance is a series of essential activities in which equipment, machinery, facilities or production function in a set manner, developing work-related features within stipulated limits along with required effectiveness, without delays, in a quality manner, while adhering to the protection of the environment and people, and suitable logistics [1]. Mean time between failures (MTBF) is one of the most important system reliability parameters indicating the average time between system failures and is used for repairable devices and systems. If viewed as only one device, it is mean time between failures [6]:
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