Development of statistical simulation model of "Construction of prefabricated buildings" business process
Автор: Kuleva N.S., Dimov E.M., Ganenko O.M.
Журнал: Инфокоммуникационные технологии @ikt-psuti
Рубрика: Новые информационные технологии
Статья в выпуске: 2 т.17, 2019 года.
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In the second part of the article the authors focused on the statistical study of the “Construction of prefabricated buildings” business process, the description and scheme of which has been presented in the first part. In the context of statistical simulation, the business process was analyzed and the main random factors affecting the process were identified. Then, in terms of probability theory and mathematical statistics, random variables describing these factors are determined. There was found that all random variables can be approximated by one of the three laws of distribution - normal, exponential and Poisson. Based on the identification of random variables, there was obtained a list of parameters and variables of the model, the values of which can be further changed by the user working with model online. A generalized scheme of the modeling algorithm is presented then.
Construction of prefabricated buildings, business process, business processes modeling, statistical simulation modeling, dimov-maslov method, poisson distribution, normal distribution, exponential distribution, modeling algorithm
Короткий адрес: https://sciup.org/140256219
IDR: 140256219 | DOI: 10.18469/ikt.2019.17.2.08