Abstract
A conceptual stage of a construction project’s lifecycle is characterized by a high level of estimation error because of an accurate data absence. The paper provides a completed construction project budget structural analysis. It shows that major expenses are land plot purchase and a construction process itself. In case of a conceptual design, the main goal is to improve an accuracy of construction cost evaluation as a land plot price has to be determined at this moment. A Building Information Modeling (BIM) technology can be used in a cost estimation process. The research presents a step-by-step guideline based on quantities derived from a model application. First of all, a company has to select a suitable Building Information Modeling software. Then, it has to develop a BIM standard to make modeling process efficient in accordance with specific rules. After a quantities takeoff, they have to be connected to recourses’ prices database. As a result, a process of a conceptual stage budgeting becomes fast and accurate due to an automatization and a human error likelihood reduction.
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References
Zhu, L.: Control and management of construction project cost. J. Landsc. Res. 8(4), 7–8 (2016)
Alinsky, A., Fantasies, M., Metkin, D.: Digital technologies of investment analysis of projects for the development of oil fields of unallocated subsoil reserve fund. IOP Conf. Ser.: Mater. Sci. Eng. 497(1), 1–7 (2019)
Exhume, I.I., Moneke, U.U.: Analysis of time and cost performance of construction projects in rivers state. Niger. PM World J. 5(8), 1–15 (2016)
Keng, T.C., Mansor, N., Ching, Y.K.: An exploration of cost overrun in building construction projects. Globa. Bus. Manag. Res. 10(3), 638–646 (2018)
Holmlin, R.: Project cost management prior to conceptual design. Cost Eng. 58(6), 6–13 (2016)
Vereen, S.C., Sinacori, B., Back, W.E.: Critical risk considerations for cost estimating on international construction projects. Int. J. Constr. Project Manag. 8(2), 153–169 (2016)
Meharie, M.G.: An effective approach to input variable selection for preliminary cost estimation of construction projects. Adv. Civ. Eng. 1–14 (2019)
Batts, B.: Three steps to accurate project cost estimates. InTech 63(4), 24–29 (2016)
Elfaki, A.O., Alatawi, S., Abushandi, E.: Using intelligent techniques in construction project cost estimation: 10-year survey. Adv. Civ. Eng. 1–11 (2014)
De Souza, A.D., Da Rocha, A.R.C., Dos Santos, D.C.S.: A proposal for the improvement of project’s cost predictability using earned value management and historical data of cost—an empirical study. Int. J. Softw. Eng. Knowl. Eng. 25(1), 27–50 (2015)
Jin, R.Z., Han, S., Hyun C.Y., Kim, J.H.: Improving accuracy of early stage cost estimation by revising categorical variables in a case-based reasoning model. J. Constr. Eng. Manag. 140(7), 04014025 (2014)
Dursun, O., Stoy, C.: Conceptual estimation of construction costs using the multistep ahead approach. J. Constr. Eng. Manag. 142(9), 1–10 (2016)
Firouzi, A., Yang, W., Li, C.Q.: Prediction of total cost of construction project with dependent cost items. J. Constr. Eng. Manag. 142(12), 1–9 (2016)
Shutian, F., Tianyi, Z., Ying, Z.: Prediction of construction projects’ costs based on fusion method. Eng. Comput. 34(7), 2396–2408 (2017)
Swei, O., Gregory, J., Kirchain, R.: Construction cost estimation: a parametric approach for better estimates of expected cost and variation. Transport. Res. 101(C), 295–305 (2017)
Sharmanov, V., Simankina, T., Mamaev, A.: BIM in the assessment of labor protection. Mag. Civ. Eng. 69(1), 77–88 (2017)
Gilemkhanov, R., Bagautdinov, R., Kankhva, V.: Autodesk revit and robot structural analysis in design of framed buildings. Adv. Intell. Syst. Comput. 692,1036–1045 (2018)
Bobrova, T., Panchenko, P.: Technical normalization of working processes in construction based on spatial-temporal modeling. Mag. Civ. Eng. 76(8), 84–97 (2017)
Sun, C., Man, Q., Wang, Y.: Study on BIM-based construction project cost and schedule risk early warning. J. Intell. Fuzzy Syst. 29(2), 469–477 (2015)
Johnson, J.: Comparing the effects of ABC and BIM in construction projects and choose the best solution to minimise the delay and cost overrun using MADMA. PM World J. 8(7), 1–18 (2019)
Tahir, M.M., Haron, N.A., Alias, A.H., Harun, A.N., Muhammad, I.B., Baba, D.L.: Improving cost and time control in construction using building information model (BIM): A review. Pertanika J. Sci. Technol. 26(1), 21–36 (2018)
Marzouk, M., Azab, S., Metawie, M.: BIM-based approach for optimizing life cycle costs of sustainable buildings. J. Clean. Prod. 188, 217–226 (2018)
Matejka, P., Vitasek, S.: Comparison of different cost estimation methods with use of building information modelling (BIM). Eng. Rural Develop. 17, 843–849 (2018)
Anticona, P.: Does BIM offer a better approach to guarantee a reliable, accurate, and precise cost estimate? PM World J. 8(6), 1–28 (2019)
Rostova, O., Shirokova, S., Sokolitsyna, N., Shmeleva, A.: Management of investment process in alternative energy projects. E3S Web Conf. 110, 02032 (2019)
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Muratova, A., Ptukhina, I. (2020). BIM as an Instrument of a Conceptual Project Cost Estimation. In: Anatolijs, B., Nikolai, V., Vitalii, S. (eds) Proceedings of EECE 2019. EECE 2019. Lecture Notes in Civil Engineering, vol 70. Springer, Cham. https://doi.org/10.1007/978-3-030-42351-3_41
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DOI: https://doi.org/10.1007/978-3-030-42351-3_41
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