Economic efficiency and prospects for introducing information modelling technologies during the design stage in the building sector of a region

Over the past decade, information modelling technologies have been actively introduced in the global construction industry. This study aims to substantiate the economic efficiency of implementing these technologies in construction processes. The primary methods employed in this study involve analysis and synthesis. The article examines data that reflects the indicators of economic efficiency associated with information modelling technologies. The cooperation of all project participants, while considering specific regional characteristics, is of utmost importance. Since the design stage is the least financially expensive phase, the efficiency of information modelling technologies can be well observed. The article discusses both the advantages and disadvantages of using information modelling technologies. A comparison of return on investment (ROI) indicators was carried out, considering the degree of adoption of information modelling technologies within enterprises. It is important to note that ROI comprises only one of the indicators used to assess economic efficiency, since it fails to consider other factors. In order to comprehensively evaluate the economic effect, various indicators used in investment project assessment were analysed, including net present value, profitability index, internal rate of return, and payback time. The article presents an example of implementing information modelling technologies in a small project entity, where the ROI coefficient is calculated. From the analysis, it is concluded that information modelling technologies should be widely implemented as a foundation for improving the production and economic efficiency of companies.

1. Aslanov N.M., Sadig R.I. Basic methods of evaluating efficiency of investment projects. Problemy ekonomiki i upravleniya neftegazovym kompleksom = Problems of economics and management of oil and gas complex. 2011;3:39-46. (In Russ.). EDN: NDVDNB.

2. Bazhenov A.A. Problems of application of BIMtechnologies in the modern construction industry. In: BIM-modelirovanie v zadachakh stroitel'stva i arkhitektury: materialy Vserossiiskoi nauchno-prakticheskoi konferentsii = BIM modeling in the tasks of construction and architecture: materials of the All-Russian Scientific and Practical Conference. 29-30 March 2018, Saint Petersburg. Saint Petersburg: Saint Petersburg State University of Architecture and Civil Engineering; 2018. p. 62-64. (In Russ.). EDN: YUOMKG.

3. Strakhov A.S., Isupova D.A., Tregubov A.P. Specifics of state regulation of the introduction of TIM-technologies in construction. In: Materialy XXVI Regional'naya konferentsiya molodykh uchenykh i issledovatelei Volgogradskoi oblasti: konferentsii = Materials XXVI Regional Conference of Young Scientists and Researchers of the Volgograd Region. 16-28 November 2021, Volgograd. Volgograd: Volgograd State Technical University; 2022. p. 305-306. (In Russ.). EDN: BXPATQ.

4. Shesterikova Ya.V. Information modeling technologies in the implementation of investment and construction projects. Nauka i biznes: puti razvitiya = Science and business: development ways. 2022;3:95-97. (In Russ.). EDN: PARUNQ.

5. Bolotova A.S., Marshavina Ya.I. Problems of the implementation of bim technologies in Russia. Stroitel''noe proizvodstvo = Construction production. 2021;2:70-80. (In Russ.). EDN: PEYWAO. https://doi.org/10.54950/26585340_2021_2_70.

6. Romanova M.V. Evaluation of the effectiveness of the investment project. Ekonomicheskii analiz: teoriya i praktika = Economic analysis: theory and practice. 2007;7:17-26. (In Russ.). EDN HYSQTZ.

7. Verstina N.G., Kisel T.N., Kulakov K. Yu. Innovative technologies implementation to the investment and construction industry: problems and determining factors. E-Management. 2022;5(1):4-13. https://doi.org/10.26425/2658-3445-2022-5-1-4-13. (In Russ.). EDN: SPXUXG.

8. Guevara Rada L.T., Peshkov V.V., Mart'yanov V.I., Radionova E.A., Buzheeva F.G., Saibatalova E.V. Building information modelling (BIM) technology as a basis for lean construction. Izvestiya vuzov. Investitsii. Stroitel'stvo. Nedvizhimost' = Proceedings of Universities. Investment. Construction. Real estate. 2022;12(1):70-81. EDN: TDEUOH. https://doi.org/10.21285/2227-2917-2022-1-70-81.

9. Dmitriev A.N., Vladimirova I.L. Information modeling technologies in the management of construction projects in Russia. Promyshlennoe i grazhdanskoe stroitel''stvo = Industrial and civil engineering. 2019;10:48-59. (In Russ.). EDN: FXXZAA. https://doi.org/10.33622/0869-7019.2019.10.48-59.

10. Ilinova V.V., Mitsevich V.D. International experience of using bim technologies in construction. Rossiiskii vneshneekonomicheskii vestnik = Russian foreign economic journal. 2021;6:79-93. (In Russ.). EDN: XWHWUJ. https://doi.org/10.24412/2072-80422021-6-79-93.

11. Kolchin V.N. Application of BIM-technologies in construction and design. Innovatsii i investitsii = Innovations and investments. 2019;2:209-214. (In Russ.). EDN: NJLLFO.

12. Kravchenko T.V. BIM-technologies in the management of construction projects. Molodoi uchenyi = Young scientist. 2019;3:176-179. (In Russ.).

13. Kryukov K.M., Kuleshov A.A. Simulation of the design activity diversification of innovative enterprise. Inzhenernyi vestnik Dona = Engineering Bulletin of the Don. 2020;9:122-132. (In Russ.). EDN: UGDMUR.

14. Peshkov V.V., Aleksanin I.A. Management and engineering solutions at the overhaul stage in the life cycle of constructing facilities using their digital models. Izvestiya vuzov. Investitsii. Stroitel'stvo. Nedvizhimost' = Proceedings of Universities. Investment. Construction. Real estate. 2022;12(2):196-205. (In Russ.). https://doi.org/10.21285/2227-2917-20222-196-205. EDN: IFZYVX.

15. Rybakov D.A., Astafyeva N.S. Analysis of the effectiveness of construction and investment projects taking into account the use of BIM technologies. Innovatsii. Nauka. Obrazovanie. 2021;33:1565-1570. EDN STQVLP.

16. Sidorova E.A. Improvement of organizational methods for managing reconstruction using information modeling technology. E-SCIO. 2019;4(31). С. 43–47. EDN: JNBNYM.

17. Utkina V.N., Gryaznov S.U., Babushkina D.R. Problems and prospects of implementation of information modeling technology in the construction field of Russia: problems and prospects of implementation. Osnovy ekonomiki, upravleniya i prava = Economy, governance and lave basis. 2019;1(19):57-61. https://doi.org/10.51608/23058641_2019_1_57. EDN: YPHGPG.

18. Dmitriev A.N., Vladimirova I.L., Kallaur G.Yu., Tsygankova A.A. Approaches to classifying building innovations while implementing information modeling and project management. Journal of Engineering Science and Technology Review. 2019;12(2):143-151. EDN: OSVLUR. https://doi.org/10.25103/jestr.122.20.

19. Eastman Ch., Teicholz P., Sacks R., Liston K. BIM Handbook: a guide to building information modeling for owners, managers, designers, engineers and contractors. New York : JohnWiley and Sons; 2011. 640 p.

20. Marzouk, M., Elmaraghy, A., and Voordijk, H. Lean Deconstruction Approach for Buildings Demolition Processes using BIM. Lean Construction Journal. 2019:147-173.

21. Tokarsky A., Topchiy D. The concept of quality control of the organization of construction processes during construction supervision through the use of information technology. In: Sustainable Development of Industrial Region: Ural Environmental Science Forum (UESF2021). E3S Web of Conferences. Chelyabinsk, 17–19 February 2021. 2021. Iss. 258 (59). p. 09028. https://doi.org/10.1051/e3sconf/202125809028. EDN: KHTYBD

22. Rinke N., von Gösseln I., Kochkine V., Schweitzer J., Berkhahn V., Berner F. Simulating quality assurance and efficiency analysis between construction management and engineering geodesy. Automation in Construction. 2017;76:24-35. https://doi.org/10.1016/j.autcon.2017.01.009.

23. Battikha M.G. Quality management practice in highway construction. International Journal of Quality and Reliability Management. 2003;20:532-550. https://doi.org/10.1108/02656710310476516.

24. Ginzburg A.V., Shilova L.A., Shilov L.A. Modern standards of informational modeling in construction. Nauchnoe obozrenie. 2017;9:16-20. (In Russ.). EDN: ZGIVIV.

25. Topchiy D., Bolotova A. Systematization of Factors Affecting the Organizational Processes in the Conversion of Buildings. In: Мiр Engineering-2019: Advanced Technologies. International Scientific Workshop. Krasnoyarsk: Institute of Physics Publ. 2020. Vol. 537. p. 32-42. EDN: CZKEIJ. https://doi.org/10.1088/1757-899X/753/3/032042.

26. Pelmeneva E.I., Litvinova O.V. Key aspects of the regulatory control of information modeling technology in Russia. Molodezhnyi vestnik IRGTU = ISTU bulletin of youth. 2021;11(2):131-137. EDN MNJRQV.

27. Sinenko S., Poznakhirko T., Tomov A. Digital transformation of the organization of construction production. In: Ural Environmental Science Forum "Sustainable Development of Industrial Region: E3S Web of Conferences (UESF-2021). 17-19 February 2021, Chelyabinsk. 2021. Vol. 258. EDP Sciences; 2021. EDN: MXSZMW. https://doi.org/10.1051/e3sconf/202125809020.

28. Sinenko S.A. Selection of Organizational and Technological Solutions for Construction. In: Earth Science: International science and technology conference. IOP Conf. Series: Earth and Environmental Science. 2020. Vol. 459. P. 052043. https://doi.org/10.1088/1755-1315/459/5/052043.

29. Sinenko S.A., Poznakhirko T.Y. On the Description of a Universal Model of Project System. In: Earth Science International science and technology conference // IOP Conf. Series: Earth and Environmental Science. 2020. Vol. 459. P. 052051. https://doi/org/10.1088/1755-1315/459/5/052051.