Open AccessStochastic modeling of a technological process using histogram computation
Author(s) -
E. D. Guzha,
Т. В. Хвостова,
В. А. Романенко,
M. A. Skorokhod
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 - 10.1088/1742-6596/1399/3/033028
Subject(s) - histogram , computer science , function (biology) , random variable , process (computing) , computation , stochastic process , construct (python library) , mathematics , algorithm , mathematical optimization , statistics , artificial intelligence , evolutionary biology , image (mathematics) , biology , programming language , operating system
The focus of research is a discrete-event simulation model of the production process, including many technological operations, the time duration of which should be considered as a random function of several discrete variables. It is assumed that a limited amount of available statistics allows us to construct estimating distribution functions of the random function concerned only for individual values of its arguments. The estimates obtained in this way are suggested in order to be used to form the estimating distribution functions of the random function for any values of its arguments by the methods of histogram arithmetic. Results of the use of the proposed approach, implemented within a computer simulation model of a transport technological process are considered.