Modeling and optimization of costs associated with the development of clustered organizational management structures in construction companies
https://doi.org/10.21285/2227-2917-2024-2-348-355
EDN: UEVQNI
Abstract
The article aims to examine models and methods of cost optimization associated with the development of clustered organizational structures in construction companies. The research methodology involved an analysis of existing approaches, simulation modeling, and econometric equation analysis. As a result, different approaches to cost estimation and optimization applied in the construction sphere are presented. Particular attention is paid to the development of complex models and their optimization under the conditions of uncertainty through simulation modeling of various scenarios of cluster organizational structures in construction companies. The analysis also includes an assessment of the advantages and disadvantages of econometric semi-linear dynamic equations and the feasibility of their application. The discussion section emphasizes the importance of integrating different optimization methods to achieve the most optimal outcome in the management of construction companies. Further research directions are outlined. The results can be relevant when formulating development strategies and making investment decisions in the construction sphere. The research conclusions confirm the significance of applying modern cost optimization methods to improve the management efficiency of construction companies and their competitiveness in the market of construction services.
About the Author
J. Serat
Saint Petersburg State University of Architecture and Civil Engineering
Russian Federation
Russian Federation
Jawed Serat, Postgraduate Student
4, 2nd Krasnoarmeyskaya St., Saint Petersburg 190005
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Review
For citations:
Serat J. Modeling and optimization of costs associated with the development of clustered organizational management structures in construction companies. Izvestiya vuzov. Investitsii. Stroitelstvo. Nedvizhimost. 2024;14(2):348-355. (In Russ.) https://doi.org/10.21285/2227-2917-2024-2-348-355. EDN: UEVQNI
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