Improvement of methods for determining the cost of design solutions at early stages of investment and construction projects realization
Improvement of methods for determining the cost of design solutions at early stages of investment and construction projects realization
DOI:
https://doi.org/10.22337/2073-8412-2023-4-21-30Keywords:
cost of design solutions, investment and construction project, pre-design stage, aggregated cost indicatorsAbstract
The list of basic solutions for the implementation of an investment and construction project is mentioned and approved as part of the project documentation. However, the choice and justification of these decisions are made by the customer and the investor already at the pre-design stage. It is at the pre-design stage that a decision is made on the feasibility of the project, a feasibility research is formed, in which not only such basic technical and economic indicators as area, construction volume, length, etc. are of particular importance, but also the composition and cost of individual space-planning and design solutions. So, one and the same object can be erected from monolithic reinforced concrete and bricks, or from pre-fabricated metal structures and multilayer enclosing structures. At the same time, the functional purpose of the object will remain the same, but the cost will change significantly.
In this regard, the relevance of this article lies in the research of methods for determining the cost of various design solutions at the pre-project stage as the basis for successful project implementation in the future. Since the most economically sound solutions identified at an early stage can significantly reduce the costs of the entire project and increase its efficiency.
The purpose of this research is to improve approaches to substantiating the cost of various design solutions at the pre-project stage of the implementation of an investment and construction project.
The authors reviewed the existing methods of substantiating the cost of design solutions for construction projects at the pre-project stage of an investment and construction project and also developed proposals for their improvement: an algorithm for estimating the cost of construction at the early stages of an investment and construction project, taking into account the cost of alternative design solutions.
The implementation of the algorithm became possible thanks to the authors' development of a methodology for creating a data bank on the cost of design solutions, accumulation, analysis and structuring of data on the cost of already implemented residential and civil facilities (administrative buildings with a total area of 1,000 to 20,000 m2). A factorial analysis of the cost of administrative buildings was also conducted with identifying the causes of deviations in the cost of identical indicators from the average value.
The results obtained can form the basis for the formation of a new database of prices of constructive solutions necessary for calculating the estimated cost at the stage of investment justification. Such data will be able to determine the cost more reliably precisely at the early stages — at the stage of transition from the idea to the development of basic technical solutions that will determine the appearance, manufacturability and cost of construction projects.
References
Lukmanova I., Yaskova N. Hidden reserves of post-crisis development of construction industry // Procedia Engineering. 2016. Vol. 165. Pp. 1293–1299. DOI: 10.1016/j.proeng.2016.11.853 DOI: https://doi.org/10.1016/j.proeng.2016.11.853
Yaskova N., Kolosova T. The investment and construction activities transformation at the modern development stage of Russia // IOP Conference Series: Materials Science and Engineering. 2020. Vol. 869. Issue 6. P. 062050. DOI: 10.1088/1757-899X/869/6/062050 DOI: https://doi.org/10.1088/1757-899X/869/6/062050
Гумба Х. М. Экономика строительства : учебник / под общ. ред. Х. М. Гумба. М. : Юрайт, 2023. 449 с.
Ардзинов В. Д., Курочкин А. И. Сметное дело в строительстве. Самоучитель. Питер, 2021. 464 c.
Караваева Н. М., Федоров А. В., Юрасова И. И., Дэви Ю. М. Девелопмент недвижимости : учебное пособие / под ред. А. М. Платонова. Екатеринбург : Уральский университет, 2020. 150 с.
Sdino L., Brambilla A., Dell’Ovo M., Sdino B., Capolongo S. Hospital construction cost affecting their lifecycle : an Italian overview // Healthcare. 2021. Vol. 9. Issue 7. P. 888. DOI: 10.3390/healthcare9070888 DOI: https://doi.org/10.3390/healthcare9070888
Сапожникова С. А., Коркишко А. Н. Формирование прейскуранта укрупненных единичных расценок для обустройства нефтегазовых месторождений // Проблемы современной экономики. 2017. Vol. 1(61). Pp. 142–146. URL: https://elibrary.ru/item.asp?id=29334121
Коркишко А. Н., Глухих Д. И., Опольский К. А. Применение системной инженерии для снижения затрат капитального строительства на месторождениях нефти и газа // PROнефть. Профессионально о нефти. 2021. Т. 6. № 1. С. 76–82. DOI: 10.51890/2587-7399-2021-6-1-76-82 URL:https://proneft.elpub.ru/jour/article/view/13
Bovsunovskaya M. P. Development of a cost controlling system for an investment and construction project // E3S Web of Conferences. 2021. Vol. 263. P. 05048. DOI: 10.1051/e3sconf/202126305048 DOI: https://doi.org/10.1051/e3sconf/202126305048
Bovsunovskaya M. P. Modern approaches to assessing the efficiency of urban development projects in the context of the formation of a comfortable urban environment // IOP Conference Series: Materials Science and Engineering. 2020. Vol. 869. Issue 6. P. 062033. DOI: 10.1088/1757-899X/869/6/062033 DOI: https://doi.org/10.1088/1757-899X/869/6/062033
Bovsunovskaya M. P. The influence of architectural decisions on improving the economic efficiency of development projects // E3S Web of Conferences. 2019. Vol. 138. P. 02020. DOI: 10.1051/e3sconf/201913802020 DOI: https://doi.org/10.1051/e3sconf/201913802020
Karakozova I., Prochorova Y. Assessment of the efficiency of the decisions made during implementation of the investment project in construction // MATEC Web of Conferences. 2018. Vol. 193. P. 05002. DOI: 10.1051/matecconf/201819305002 DOI: https://doi.org/10.1051/matecconf/201819305002
Kuzina O. Information technology application in the construction project life cycle // IOP Conference Series: Materials Science and Engineering. 2020. Vol. 869 (6). P. 062044. DOI: 10.1088/1757-899X/869/6/062044 DOI: https://doi.org/10.1088/1757-899X/869/6/062044
Уварова С. С., Беляева С. В., Паненков А. А., Белянцева О. М. Реализация стоимостного аудита в строительстве в условиях цифровизации // Экономика в инвестиционно-строительном комплексе и ЖКХ. 2019. № 2(17). С. 73–79. URL: https://www.elibrary.ru/item.asp?id=41870660
Didkovskaya O. V., Mamayeva O. A., Ilyina M. V. Development of cost engineering system in construction // Procedure Engineering. 2016. Vol. 153. Pp. 131–135. DOI: 10.1016/j.proeng.2016.08.092 DOI: https://doi.org/10.1016/j.proeng.2016.08.092
Manewa A., Siriwardena M., Wijekoon C. Life cycle costing in construction: Current trends and emerging directions // Proceedings of the 9th World Construction Symposium 2021 on Reshaping construction: Strategic, Structural and Cultural Transformations towards the “Next Normal”. 2021. Vol. 403–412. URL: https://ciobwcs.com/downloads/papers21/35_WCS2021_Proceedings.pdf (accessed: 01.10.2022). DOI: https://doi.org/10.31705/WCS.2021.35
Gluch P., Baumann H. The life cycle costing (LCC) approach: A conceptual discussion of its usefulness for environmental decision-making // Building and Environment. 2004. Vol. 39. Issue 5. Pp. 571–580. DOI: 10.1016/j.buildenv.2003.10.008 DOI: https://doi.org/10.1016/j.buildenv.2003.10.008
Шипова С. Н. Методические положения формирования стоимости строительства объекта на предынвестиционной стадии // Сметно-договорная работа в строительстве. 2017. № 5–6. С. 64–70. URL: https://elibrary.ru/item.asp?id=36883579
Силка Д. Н. Развитие механизмов предварительного обоснования инвестиций в строительстве // Экономика и предпринимательство. 2020. № 8 (121). С. 645–648. URL: https://elibrary.ru/item.asp?id=43155207 DOI: 10.34925/EIP.2020.121.8.131
Jun Kim, Hee Sung Cha. Expediting the cost estimation process for aged-housing renovation projects using a probabilistic deep learning approach // Sustainability. 2022. Vol. 14. Issue 1. P. 564. DOI: 10.3390/su14010564 DOI: https://doi.org/10.3390/su14010564
Dong Y. H., Ng S. T. A modeling framework to evaluate sustainability of building construction based on LCSA // The International Journal of Life Cycle Assessment. 2016. Vol. 21. Pp. 555–568. DOI: 10.1007/s11367-016-1044-6 DOI: https://doi.org/10.1007/s11367-016-1044-6
Бовсуновская М. П. Исследование нормы прибыли как основного показателя капитализации промышленных предприятий // Известия высших учебных заведений. Технология текстильной промышленности. 2020. № 1 (385). С. 100–105.
Лукманова И. Г., Яськова Н. Ю. О новых задачах инвестиционно-строительной деятельности в контексте трендов пространственного развития России // Вестник МГСУ. 2019. Т. 14. Вып. 6. С. 774–784. DOI: 10.22227/1997-0935.2019.6.774-784 DOI: https://doi.org/10.22227/1997-0935.2019.6.774-784
Kamenetskii M. I., Yas’kova N. Y. Construction and real estate markets: From crisis to growth // Studies on Russian Economic Development. 2018. Vol. 29. Issue 1. Pp. 35–40. DOI: 10.1134/S1075700718010070 DOI: https://doi.org/10.1134/S1075700718010070
Яськова Н. Ю. Теоретические аспекты синхронизации экономических интересов субъектов хозяйствования в условиях максимизации их потенциала // Науковедение. 2015. № 7. Ст. 3. URL: http://naukovedenie.ru/index.php?p=vol7-3 DOI: 10.15862/155EVN315
Leśniak A., Zima K. Cost calculation of construction projects including sustainability factors using the Case Based Reasoning (CBR) method // Sustainability. 2018. Vol. 10. Issue 5. P. 1608. DOI: 10.3390/su10051608 DOI: https://doi.org/10.3390/su10051608
Abdelrahman Osman Elfaki, Saleh Alatawi, Eyad Abushandi. Using intelligent techniques in construction project cost estimation: 10-year survey // Advances in Civil Engineering. 2014. Vol. 2014. P. 107926. DOI: 10.1155/2014/107926 DOI: https://doi.org/10.1155/2014/107926