Analysis of the installation duration of large-scale modular building
- 作者: Mochalin D.E.1,2
-
隶属关系:
- National Research Moscow State University of Civil Engineering
- Kombinat Innovationnich Technologiy – MonArch
- 期: 编号 10 (2025)
- 页面: 16-19
- 栏目: Articles
- URL: https://modernonco.orscience.ru/0044-4472/article/view/695868
- DOI: https://doi.org/10.31659/0044-4472-2025-10-16-19
- ID: 695868
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详细
The present work aims to investigate the duration of the installation of large-scale prefabricated modules, with the goal of developing a methodology to determine the installation duration of buildings made from these modules, taking into account the impact of organizational and technological decisions. To identify the distribution of time spent on technological operations during the construction of buildings from large modules and to analyze inefficient time and minimize elements of production risk, a time study was conducted. The average time required to install a storey-section of a building from large-size modules, as determined by chronometry, was 11.8 hours. The paper presents the results of classifying operations during the installation of a storey-section of a building from large-size modules into significant and insignificant works and losses. Total time losses amounted to about 6% of the total time required to install a large-sized module. Time losses during the installation of storey section modules are also classified into groups based on the results of field observations. The greatest losses were associated with the selection and design of organizational and technological solutions for the installation of the building. Reducing losses and minimizing insignificant tasks can be achieved through rational selection of organizational and technological solutions. A promising and important direction for future work is the development of a mathematical model that describes the impact of organizational and technological solutions on the installation duration of buildings made from large-scale prefabricated modules.
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作者简介
D. Mochalin
National Research Moscow State University of Civil Engineering; Kombinat Innovationnich Technologiy – MonArch
编辑信件的主要联系方式.
Email: dm.mochalin@mail.ru
Postgraduate Student of the Department of Technologies and Organization of Construction Production, Director
俄罗斯联邦, 26, Yaroslavskoe Highway, Moscow, 129337; 2/10, apt.48A, Vnukovo Municipal District, Moscow, 108809参考
- Patent RF 2712845. Sposob izgotovleniya krupnogabaritnogo gotovogo ob”emnogo modulya i sposob stroitel’stva zdaniya iz krupnogabaritnykh gotovykh ob”emnykh moduley [Method of manufacturing large-sized finished three-dimensional module and method of building construction from large-size finished 3d modules]. Ambartsumyan S.A., Meshcheryakov A.S. Declared 30.11.2018. Published 31.01.2020. (In Russian).
- Patent RF 2715781. Sposob proizvodstva ob”emnogo modulya [Method for production of volume module]. Ambartsumyan S.A., Meshcheryakov A.S. Declared 19.08.2019. Published 03.03.2020. (In Russian).
- Lapidus A.A., Ambartsumyan S.A., Dolgov O.S., Kolpakov A.M., Mescheryakov A.S., Gorbachevskii V.P. Investigation of the influence of technological and functional features of mobile conveyor robotic production lines on the design of reinforced concrete walls and floors of mobile large-sized modules. Stroitel’noye Proizvodstvo. 2022. No. 3, pp. 2–10. (In Russian). EDN: ZJOBGF. https://doi.org/10.54950/26585340_2022_3_2
- Ambartsumyan S.A., Manukyan A.V., Mkrtychev O.V., Andreev M.I. Verification of calculation methods based on experimental studies of reinforced concrete block fragments. Promyshlennoe i Grazhdanskoe Stroitel’stvo. 2023. No. 6, pp. 73–77. (In Russian). EDN: AHPSIS. https://doi.org/10.33622/0869-7019.2023.06.73-77
- Rayan H. Assaad, Islam H. El-adaway, Makarand Hastak, Kim LaScola Needy. The impact of offsite construction on the workforce: required skillset and prioritization of training needs. Journal of Construction Engineering and Management. 2022. 148. 04022056. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002314
- Bo Xiao, Hairong Xiao, Jingwen Wang, Yuan Chen. Vision-based method for tracking workers by integrating deep learning instance segmentation in off-site construction. Automation in Construction. 2022. 136. 104148. EDN: BFTXBF.https://doi.org/10.1016/j.autcon.2022.104148
- Pakhomova L.A., Oleynik P.P. Comfortable housing of the new industrial generation. Stroitel’noye Proizvodstvo. 2020. No. 2, pp. 23–28. (In Russian). EDN: TIRTYF. https://doi.org/10.54950/26585340_2020_2_23
- Pakhomova L.A. Metodika modelirovaniya vozvedeniya zhilykh zdaniy iz krupnogabaritnykh ob”yemnykh blokov [Methodology for modeling the construction of residential buildings from large-sized volumetric blocks]. Cand. Diss. (Engineering). Moscow. 2023. 218 p. (In Russian).
- Mescheryakov A.S. Organizatsionno-tekhnologicheskiye resheniya formirovaniya krupnogabaritnykh moduley v usloviyakh proizvodstvennoy byzy [Organizational and technological solutions for the formation of large-sized modules in the conditions of the production base]. Cand. Diss. (Engineering). Moscow. 2025. 147 p. (In Russian).
- Pakhomova L.A., Oleynik P.P. Selection and evaluation of work place certification parameters (special assessment of labor conditions. Stroitel’noye Proizvodstvo. 2019. No. 1, pp. 49–52. (In Russian). EDN: FYAGNP. https://doi.org/10.54950/26585340_2019_1_49
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