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Digitalization of technological and design decision-making processes in modern construction

https://doi.org/10.31660/2782-232X-2022-2-95-103

Abstract

The results of the research allow us to extend the scope of the "decision tree" method introduction into the processes of making design decisions and exploring of variants of technological equipment when choosing construction equipment for excavation works by the example of the construction object "Architectural ensemble "Voznesensky" in Tyumen.

To achieve the research purpose the following problems were solved: variants of the traditional approach to determination of building equipment requirements were considered; models and methods of management decisions were analyzed; the "decision tree" method with its advantages and disadvantages was studied; the "decision tree" method was successfully used in the digital experiment and recommended for the implementation in developing an algorithm for decision-making and choosing variants of mechanization of excavation works using Deductor Academic Studio program to build an actual object. Nowadays we've never known any cases of direct application of the "decision tree" method in project management in the Russian construction industry.

There are no published results of researches about its introduction in processes of making design and industrial decisions.

About the Authors

О. V. Ashikhmin
Industrial University of Tyumen
Russian Federation

Оleg V. Ashikhmin, Candidate of Engineering, Associate Professor, Head at the Department of Building Production

Tyumen



A. P. Shestakova
Industrial University of Tyumen
Russian Federation

Alena P. Shestakova, Candidate of Economics, Associate Professor at the Department of Building Production

Tyumen



References

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Review

For citations:


Ashikhmin О.V., Shestakova A.P. Digitalization of technological and design decision-making processes in modern construction. Architecture, Construction, Transport. 2022;(2):95-103. (In Russ.) https://doi.org/10.31660/2782-232X-2022-2-95-103

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ISSN 2782-232X (Print)
ISSN 2713-0770 (Online)