Housing construction management: practical aspects of digital intelligent support (on the example of the Aviator housing development, Irkutsk)

Author:

Korolek A. V.1ORCID,Matveeva M. V.2ORCID,Peshkov A. V.2ORCID

Affiliation:

1. Irkutsk National Research Technical University; Group of companies "Novy Gorod"

2. Irkutsk National Research Technical University

Abstract

The article considers the practical aspects of digital intelligent support for managing housing construction using the example of the construction management of the Aviator housing estate in Irkutsk (the developer is the Novy Gorod business group). Digital intelligent support enables one to automate and remotely manage the processes of organizing housing construction through taking the most effective decisions promptly. This gives an opportunity to increase the reliability of the housing construction management system. The article highlights the application of optimization algorithms to organizing housing construction. With the integration of systems analysis, organizational, information, and mathematical modeling, it becomes possible to optimize decisions made for all resource types, the duration of production processes, and the construction of the entire object. All these enhance the management system for organizing housing estate construction in terms of quality, reliability, and efficiency. The article addresses the issues of control over the organization and implementation of housing construction stages and priorities using the example of the Aviator housing complex. In general, using the digital intelligent support potential impacts on the economic performance indicators of the organization for the object under study at the construction stage proper.

Publisher

Irkutsk National Research Technical University

Reference18 articles.

1. Kulikova A.A. In The Region, Housing Commissioning Volumes Exceeded 1 Million Square Meters In 8 Months. SIBDOM. Analytics and forecasts. Available from: https://irk.sibdom.ru/news/19713/ [Accessed 20th November 2023]. (In Russ.).

2. Artyushkin O.V., Plotnikova T.N. Digitalization of The Construction Industry. Vestnik Khakasskogo gosudarstvennogo universiteta im. N.F. Katanova = Bulletin of Khakass State University named after. N.F. Katanova. 2021;1(35):35-39. (In Russ.). EDN: ELWWJY.

3. Losev Y.G., Losev K.Yu. Construction Systems of a Healthful House. Sovremennoe stroitel'stvo i arkhitektura = Modern Construction and Architecture. 2018;4 (12):18-22. (In Russ.). https://doi.org/10.18454/mca.2018.12.1. EDN: YNNEWT.

4. Cherepanov K. A. On the Development of Built-Up Areas. In: Dostupnoe i komfortnoe zhil'e: problemy, poiski, resheniya: materialy ekspertnogo seminara = Affordable and Comfortable Housing: Problems, Searches, Solutions: Materials of the Expert Seminar. 30-31 May 2012, Irkutsk. Irkutsk; 2012, p. 278-280. (In Russ.). EDN: VAAPYT.

5. Bykov I.A. Artificial Intelligence as A Source of Political Thinking. Zhurnal politicheskikh issledovanii = Journal of Political Research. 2020;4;2:23-33. (In Russ.). https://doi.org/10.12737/2587-6295-2020-23-33. EDN: FCGCZO.

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