Open AccessRegression analysis of the calculation of the organizational and technological potential for the production of cold weather concreting
Author(s) -
Azariy Lapidus,
Alan Khubaev,
Tembot Bidov
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/869/7/072033
Subject(s) - production (economics) , work (physics) , regression , regression analysis , variance (accounting) , quality (philosophy) , operations research , technological change , industrial engineering , econometrics , computer science , mathematics , statistics , engineering , mechanical engineering , economics , artificial intelligence , philosophy , accounting , epistemology , macroeconomics
Concrete work in the winter and related organizational and technological decisions affect the efficiency of the construction project, both at the stage of technological design and at the stage of work. This work shows a review of research on organizational and technological solutions that affect the quality of monolithic structures in the construction of residential multistory buildings in the winter. We justified the choice of potential as the most optimal tool that will solve the problems posed in the study. We have identified the main regression coefficients for calculating the second-order regression equation. We performed data processing of production and technological modules and their correlation relationships identified in previous studies. The core matrix of the orthogonal central compositional plan is calculated. Variance of reproducibility has been determined. We have obtained the regression coefficients in this paper. We carried out the significance of these coefficients using the standard error. Further directions for the development of research into the potential of organizational and technological solutions for the production of concrete work in the winter were identified in this article. They were determined by determining the adequacy of this model.