TY - JOUR
T1 - Probability theory in construction logistics
AU - Okunkova, E. A.
AU - Sharova, I. V.
AU - Burkov, V. N.
AU - Burkova, I. V.
AU - Passmore, D.
AU - Daulbaeva, Z.
N1 - Publisher Copyright:
© 2020 Published under licence by IOP Publishing Ltd.
PY - 2020/1/8
Y1 - 2020/1/8
N2 - The article deals with the modeling of logistic processes of construction with the help of probability theory. Random deviations accompany any natural process, and even more so logistic processes in construction. Practice sets such tasks in which various factors play a significant role in the processes under consideration, but the number of these factors is so large that it is not always possible to trace cause-and-effect relationships between them. Elements of uncertainty, complexity, multiple causes inherent in random phenomena and processes in logistics, and therefore require special methods for their investigation, study and management. Such methods are developed by probability theory.
AB - The article deals with the modeling of logistic processes of construction with the help of probability theory. Random deviations accompany any natural process, and even more so logistic processes in construction. Practice sets such tasks in which various factors play a significant role in the processes under consideration, but the number of these factors is so large that it is not always possible to trace cause-and-effect relationships between them. Elements of uncertainty, complexity, multiple causes inherent in random phenomena and processes in logistics, and therefore require special methods for their investigation, study and management. Such methods are developed by probability theory.
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U2 - 10.1088/1742-6596/1425/1/012093
DO - 10.1088/1742-6596/1425/1/012093
M3 - Conference article
AN - SCOPUS:85078139453
SN - 1742-6588
VL - 1425
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012093
T2 - International Scientific Conference on Modelling and Methods of Structural Analysis 2019, MMSA 2019
Y2 - 13 November 2019 through 15 November 2019
ER -