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Assessment of options for organizational and technological solutions based on neural
https://doi.org/10.24412/2409-4358-2023-1-42-47
Abstract
The article is devoted to solving the scientific and practical problem of improving the quality of organizational and technological solutions (OTP) in construction due to the rapid assessment of the parameters of organizational and technological solutions. The author examines the main stages of the implementation of the investment and construction project, identifies critical paths in the consideration and adoption of organizational and technological solutions and identifies potential resources to improve the quality of design solutions with the use of actual design methods based on information modeling technology in construction. To solve the problems of optimizing the adoption of organizational and technological solutions, the author proposes a method for forecasting and estimating the integral parameters of design solutions based on the neural network model. The method is based on the formation of a training matrix, which includes key indicators of implemented projects including: parameters that characterize the external environment of the facility, expert assessments and indicators of the constructive, technological and organizational component of project solutions. The method allows taking into account the application of certain technologies and individual design parameters of building products in various environmental conditions, assessing the risks associated with the implementation of the organizational and technological solutions under consideration. The application of the proposed model, which carries out the analysis of the risks of organizational and technological solutions in the context of a specific construction object, has the advantages of considering solutions without reference to the object and its external environment. As a result, the choice of the organizational and technological solution becomes more justified, taking into account the total risks.
About the Author
Ya. V. Zharov
Moscow State University of Civil Engineering
Russian Federation
Russian Federation
Yaroslav Vladimirovich Zharov - Candidate of Technical Sciences, Associate Professor
26, Yaroslavskoye Sh., Moscow, 129337
References
1. Zharov Ya.V. Solving problems of organizational and technological design using multidimensional modeling methods. // Systems. Methods. Technologies. 2016. - No. 3 (31). – pp. 106-110
2. Kim C.Y., Hong S.W. Fuzzy logic approach for the design of reinforcement in tunnel excavation. – Korea. Geotechnical Engineering Research Dept., 2004.
3. Tah J.H.M. and Carr.V. A proposal for construction project risk assessment using fuzzy logic. Construction Management and Economics, 2000.
4. S. B. Sborshchikov, N. V. Lazareva, Zharov Ya.V. The main theoretical provisions of the logistics of regulatory influences in the investment and construction sector. // Bulletin of MGSU. 2014. - No. 7. - P. 174-183.
5. Zharov Ya.V. Multidimensional modeling based on the block-cluster structure of the model. // Scientific review. 2015. - No. 16. - P. 432-436.
6. Oleinik P.P., Brodsky V.I. On new requirements for the organization of acceptance of completed construction projects // Industrial and civil construction. 2017. - No. 9. - P. 56-60.
7. Zhuravlev P.A. The price of construction and the stages of its formation. // Bulletin of the Irkutsk State Technical University. 2015. No. 9 (104). pp. 174-178.
8. Aleksanin A., Sborshikov S. Specifics of system of external influences on the life cycle of a construction object. Matec web of conferences 5. Ser. «5th international scientific conference» Integration, Partnership and Innovation in Construction Science and Education, IPICSE 2016. 2016. - P. 05013.
9. Klyuev V.D., Zhuravlev P.A. Major overhaul planning. Problems and ways to solve them. // Bulletin of MGSU. 2011. No. 2-2. S. 278.
10. Zhang S. et al. Building information modeling (BIM) and safety: Automatic safety checking of construction models and schedules //Automation in Construction. - 2013. - T. 29. - S. 183-195.
11. Shou W. et al. A comparative review of building information modeling implementation in building and infrastructure industries // Archives of computational methods in engineering. - 2015. - T. 22. - No. 2. - S. 291-308.
12. Chong H. Y., Wang X. The outlook of building information modeling for sustainable development // Clean Technologies and Environmental Policy. - 2016. - T. 18. - No. 6. - S. 1877-1887.
13. Porras-Díaz H. et al. Technologies» Building Information Modeling» budgeting in construction of reinforced structures // Entramado. - 2015. - T. 11. - No. 1. - S. 230-249.
14. S. B. Sborshchikov, N. V. Lazareva, Zharov Ya.V. Structure and composition of the system-technical model of sustainable development of investment and construction activities. Vestnik MGSU. 2014. - No. 2. - P. 210-218.
15. Aleksanin A.V. Peculiarities of the influence of external factors on a construction object // Scientific review. 2017. - No. 6. - P. 12-15.
16. Khripko T.V. Analysis of additional requirements for participants in the procurement of certain types of goods, works, services in the construction industry // Scientific Review. 2016. No. 13. S. 241-243.
17. Belyakova A.P., Kovaleva L.S. BIM-technologies: the advantage of implementation in investment and construction projects of Russian companies // Economics and Entrepreneurship. 2017. No. 4-2 (81-2). pp. 642-647.
18. Papelniuk O. Systematization of Costs and Effects as a Method of Costs Management in Innovative Projects of Underground Construction // Procedia Engineering. - 2016. - T. 165. - S. 1310-1316.
19. Aleksanin A.V. Issues of sustainable development of construction in the UN resolution. // Bulletin of the Belgorod State Technological University. V.G. Shukhov. 2017. - No. 7. - S. 28-31.
20. Lapidus A.A., Makarov A.N. Theory of fuzzy sets at the stages of modeling the organization of construction processes in the construction of multi-storey buildings. Promyshlennoe i grazhdanskoe stroitelstvo. 2016. - No. 6. - S. 66-71.
21. Ginzburg V.M. Design of information systems in construction: Information support. M. : DIA publishing house, 2002. 319 p.
Review
For citations:
Zharov Ya.V. Assessment of options for organizational and technological solutions based on neural. New technologies in construction. 2023;(1):42-47. (In Russ.) https://doi.org/10.24412/2409-4358-2023-1-42-47
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