Formation of estimate documentation based on a building information model
https://doi.org/10.22227/1997-0935.2025.5.764-776
Abstract
Introduction. In 2024, regulatory legal acts established the mandatory development of design documentation containing a building information model (BIM). These changes directly affect approaches to the formation of estimate documentation, providing opportunities to automate this process. Despite significant progress in automating the formation of bills of quantities (BOQ), automated pricing has not yet been widely implemented. The main objective of the study is to systematize and summarize the current methodological documents regarding the formation of estimates in design using information modelling technology, approved at the level of the city of Moscow, and consolidate their provisions into a single concept that facilitates the implementation and widespread use of automation of obtaining estimate documentation.
Materials and methods. The study used methodological documents regulating the development of design and estimate documentation using building information modelling (BIM); Territorial estimate standards for the city of Moscow at the basic price level as of January 1, 2000 (TSN 2001); Moscow system of classifiers (MSSC).
Results. Based on the provisions of the methodological documents mentioned in the previous section, the concept of automation of the formation of estimates during the development of project documentation using BIM is presented. The main stages necessary for the automated assignment of prices are described. An algorithm for comparing BIM with parameterized prices is presented.
Conclusions. Conclusions are made about the advantages of automating the comparison of prices and elements of the BIM. Further steps are defined to facilitate the implementation and wider dissemination of the automation of obtaining estimate documentation based on digital information models.
About the Author
E. V. Makisha
Moscow State University of Civil Engineering (National Research University) (MGSU)
Russian Federation
Russian Federation
Elena V. Makisha — Candidate of Technical Sciences, Associate Professor of the Department of Information Systems, Technologies and Automation in Construction
26 Yaroslavskoe shosse, Moscow, 129337
RSCI AuthorID: 860246
References
1. Sosin O.V. Features of the method for developing a digital report of work scope using TIM. Theory and practice of modern science : collection of articles XIV International scientific conference. 2024; 49-53. EDN JEQDCQ. (rus.).
2. Zharov Ya.V., Shabalin M.S. Digital bill of quantities — a tool for checking building information models. Construction Production. 2023; 2:33-37. DOI: 10.54950/26585340_2023_2_33. EDN QEAAHA. (rus.).
3. Sokolova V.V., Shershneva D.D. Analysis of automation tools for calculation of volumes of work for estimate calculations using information modeling based on Revit – 5D estimate. Polzunovsky almanac. 2022; 1:177-180. EDN JZLQNU. (rus.).
4. Smirnova N.A., Sudarikov V.V., Sheikin A.A. Classification of digital information model data, release of work volume statements and estimates in the “1C:ESTIMATE TEAM CORP SYSTEM”. New information technologies in architecture and construction : proceedings of the VII International scientific and practical conference. 2024; 88. EDN PSYRWP. (rus.).
5. Karakozova I., Prohorova Yu. Improving the process of managing the cost of construction of an object in the context of digital transformation of the industry. Construction and Architecture. 2021; 9(3):56-60. DOI: 10.29039/2308-0191-2021-9-3-56-60. EDN FYBFXF. (rus.).
6. Karakozova I., Ivanov D., Pozdnyakova P. Ways to solve the problems of managing the cost of construction in the conditions of digitalization. Economic and management technologies of the 21st century: theory and practice, training of specialists : proceedings of the International methodological and scientific-practical conference named after Doctor of Economics, Professor T.R. Tereshkina. 2023; 68-73. EDN VAYTLG. (rus.).
7. Yudina A.A., Yudin M.D., Krutilova M.O. Prospects for BIM-estimates in the construction cost management. Modern methods of organization and management of construction : collection of articles by young scientists, graduate students, young specialists, students. 2020; 26-30. EDN SJKKYX. (rus.).
8. Nasonova K.S., Mustakimova K.N. Digital transformation of the estimate business with the use of information modeling technologies. Innovative processes in science and technology of the 21st century : proceedings of the 20th International scientific and practical conference of students, postgraduates, scientists, teachers and practitioners. 2023; 172-178. EDN EIEMAE. (rus.).
9. Eshchenko E.M., Aleshina I.A. Information modeling in budget planning: BIM technologies. Digital Region: Experience, Competence, Projects : collection of articles of the III International scientific and practical conference dedicated to the 90th anniversary of the Bryansk State University of Engineering and Technology. 2020; 292-295. EDN FATYLX. (rus.).
10. Aleshina I.A. Possibilities of using BIM technologies in forming estimated construction costs. Innovations in Construction – 2020 : collection of reports of the International scientific and practical conference dedicated to the 60th anniversary of the construction institute of the Federal State Budgetary Educational Institution of Higher Education “BGTU”. 2020; 492-495. EDN CNMFIR. (rus.).
11. Tyurin I.A., Ginzburg A.V. Automation of preparation of estimate documentation using information modeling technologies. Construction systems engineering. Cyber-physical construction systems – 2019 : collection of materials of the All-Russian scientific and practical conference. 2019; 525-531. EDN ZOXCDJ. (rus.).
12. Tyurin I.A., Ginzburg A.V. Increasing the economic efficiency of design and construction solutions due to the automated identification of construction works and structural elements of information models. IOP Conference Series : Materials Science and Engineering. 2020; 1083:012076. DOI: 10.1088/1757-899x/1083/1/012076
13. Tyurin I. Determination of the estimated cost of construction at the early stages of the life cycle of investment and construction projects. Construction and Architecture. 2022; 10(1):86-90. DOI: 10.29039/2308-0191-2021-10-1-86-90. EDN RMTIAU. (rus.).
14. Khaimin D.I. Formation of the estimated cost of a capital construction project using a digital information model. Generation of the Future: Young Scientists’ View – 2022 : collection of scientific articles of the 11th International Youth Scientific Conference. 2022; 554-556. EDN MNHPKT. (rus.).
15. Zhdanova E.A. Formation of the estimated cost of a capital construction project using a digital information model. Youth and systemic modernization of the country : collection of scientific articles of the 7th International Scientific Conference of Students and Young Scientists. 2022; 158-160. EDN AQMKKE. (rus.).
16. Kargin A.A., Khrustalev B.B., Glaskova S.Yu. Features of determining the estimated cost of an object when using information modeling technology. Education and Science in the Modern World. Innovations. 2021; 6(37):67-72. (rus.).
17. Malakhova V.V., Zamsha O.N. Analysis of domestic software complexes for assessing the cost of capital construction objects using TIM technologies. Economics of Construction and Nature Management. 2024; 2(91):84-93. EDN JWEOQX. (rus.).
18. Ignatyev A.V., Borkunov V.A., Ryabova E.A., Panov A.V., Ivanov V.V., Adamiya D.D. Development of a methodology for the formation of an estimate for a construction object based on its information model. Engineering journal of Don. 2021; 12(84):488-495. EDN EHIJLP. (rus.).
19. Borkunov V.A. Methodology of forming estimates of a construction object based on its information model. European Science Forum : collection of articles of the VIII International scientific and practical conference. 2021; 42-46. EDN OVYQLW. (rus.).
20. Lavrenyak S.N. Integration of BIM models into estimating: more than just 3D. Creation of estimate documentation based on BIM is a real departure from routine and cost optimization. Practical cases and solutions. Digital VOR. Nevsky Construction Forum. 2024. (rus.).
21. Karakozova I.V. Foreign experience of definition of estimate expenses for building objects. Vestnik MGSU [Proceedings of Moscow State University of Civil Engineering]. 2011; 6:61-65. EDN OWFRSD. (rus.).
22. Franco J., Mahdi F., Abaza H. Using Building Information Modeling (BIM) for Estimating and Scheduling, Adoption Barriers. Universal Journal of Management. 2015; 3(9):376-384. DOI: 10.13189/ujm.2015.030905
23. Plebankiewicz E., Zima K., Skibniewski M. Analysis of the First Polish BIM-Based Cost Estimation Application. Procedia Engineering. 2015; 123:405-414. DOI: 10.1016/j.proeng.2015.10.064
24. Rahimi M.Z., Khan H. Building Information Model for Cost Estimation and Scheduling in Building Architecture. Global Journal of Engineering Design & Technology. 2024. DOI: 10.35248/2319-7293.24.13.202
Review
For citations:
Makisha E.V. Formation of estimate documentation based on a building information model. Vestnik MGSU. 2025;20(5):764-776. (In Russ.) https://doi.org/10.22227/1997-0935.2025.5.764-776
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