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Modelling the reliability of the implementation of the schedule building work
Author(s) -
Vadim Evseev,
Victoria Borkovskaya,
Reza Barkhi
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1425/1/012175
Subject(s) - probabilistic logic , computer science , competence (human resources) , schedule , reliability engineering , operations research , risk analysis (engineering) , engineering , artificial intelligence , psychology , social psychology , operating system , medicine
The main issue of the study is the analysis of the impact of the level of information security of the construction process and the impact of the level of professional competence of personnel on the reliability characteristics of the planned terms of construction work. The aim of the study was to construct a simulation model and conduct simulation cycles/experiments in order to obtain the probabilistic characteristics of the output parameters, which are the possible terms of construction and the probability of implementation of these terms. Also, the aim of the study was to determine the permissible level of professional competence of personnel and the permissible level of non-availability of primary information necessary for construction work. Results. Methods of computational mathematics in the Excel software environment built a simulation model of the construction process, which includes the sequential execution of several stages of construction work, taking into account the level of information uncertainty and probabilistic level of competence of personnel. Numerous graphical information of the change of construction terms under the influence of probabilistic factors is given. Conclusions: the Model has shown the possibility of controlling the probability vector of the construction process, and the ability to bring its output probability characteristics to acceptable deviations from the planned value.

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