Modeling the system of maintenance and repair of information and communication equipment
DOI:
https://doi.org/10.17308/sait/1995-5499/2022/3/5-14Keywords:
resource-cost and financial risk, information and communication equipment, risk process, numerical reliability indicators «service unavailability»Abstract
The article is devoted to modeling the system of maintenance and repair of information and communication equipment, as well as creating evaluations of performance indicators based on selective values obtained by simulation modeling approach. This study is a development of work in which it is proposed to use an insurance fund to assess the effectiveness of maintenance and repair of complex equipment, the condition of which is described by a special type of risk process. The innovation of this work is an special algorithmic support for information processing, containing probabilistic models and algorithms for obtaining the results of simulation modeling using an event approach and a calendar of events of a special type according to three main factors: a) values of coefficients that make it possible to determine the amount of financial resources required for repair work by their types; b) frequency of payments to the insurance fund by types of work and their values. Point and interval estimates of resource-cost and financial risks, as well as numerical reliability indicators «service unavailability» in the form of average operating time and gamma-percentage resource are proposed and tested as efficiency indicators. The work investigates a real practically important case related to the maintenance and repair of information and communication equipment. For this study, four options were prepared in which in the first version the values of the studied factors satisfy the proposed models, and in other versions they do not. For each option program-algorithmic software was created and used, estimates of performance indicators were found. The modeling results confirmed the correctness of the proposed models, since for the first option, point risk assessments have the smallest values, and the values of numerical reliability indicators are the largest.
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