Abstract
In the process of implementing construction projects, an important factor is to prevent the occurrence of risks that negatively affect the timing of the erection of the object, the cost and quality of work. An important element in evaluating the duration of construction work is labor productivity. The purpose of the study is to identify and analyze the factors affecting labor productivity in the erection of brick walls of low-rise residential buildings, as well as the development of a probabilistic mathematical model for evaluating the reliability of a construction technological system based on the productiveness of brickwork. As part of the study, daily monitoring of the erection of brick walls was carried out. The monitoring was carried out at five construction sites for eight working weeks. In the course of the study, the cause-and-effect relationships of the formation of labor productivity of masons’ brigades with the organizational form of the “threesome” and “foursome” types were revealed. As result of the research, a probabilistic mathematical model for assessing the reliability of the erection of brick wall according to labor productivity parameters has been developed. The developed model allows us to assess its condition with respect to complete reliability, equal to one. The developed probabilistic model for evaluation of the reliability of the technological system for the erection of brick wall structures allows, taking into account local conditions, to predict the state of production to minimize the time of work with the effective use of material, technical and labor resources.
Similar content being viewed by others
References
Abbasian-Hosseini, S. A., Nikakhtar, A., & Ghoddousi, P. (2014). Verification of lean construction benefits through simulation modeling: A case study of bricklaying process. KSCE Journal of Civil Engineering, 18, 1248–1260. https://doi.org/10.1007/s12205-014-0305-9
Agrawal, A., & Halder, S. (2020). Identifying factors affecting construction labor productivity in India and measures to improve productivity. Asian Journal of Civil Engineering, 21, 569–579. https://doi.org/10.1007/s42107-019-00212-3
Alaghbari, W., Al-Sakkaf, A. A., & Sultan, B. (2019). Factors affecting construction labor productivity in Yemen. International Journal of Construction Management, 19(1), 79–91. https://doi.org/10.1080/15623599.2017.1382091
Al-Rubaye, Z. R. A., & Mahjoob, A. M. R. (2020). Identify the main factors affecting labor productivity within different organizational structures in the Iraqi construction sector. IOP Conference Series: Materials Science and Engineering, 745, 012146. https://doi.org/10.1088/1757-899X/745/1/012146
Bokor, O., Florez Perez, L., Osborne, A., & Gledson, B. (2018). A framework for modelling masonry construction using hybrid simulation approaches. Creative Construction Conference. https://doi.org/10.3311/CCC2018-096
Chaturvedi, S., Thakkar, J., & Shankar, R. (2018). Labor productivity in the construction industry: An evaluation framework for causal relationships. Benchmarking: an International Journal, 25(1), 334–356. https://doi.org/10.1108/BIJ-11-2016-0171
Gerek, I. H., Erdis, E., Mistikoglu, G., & Usmen, M. (2015). Modelling masonry crew productivity using two artificial neural network techniques. Journal of Civil Engineering and Management, 21(2), 231–238. https://doi.org/10.3846/13923730.2013.802741
Ghate, P. R., More, A. B., & Minde, P. R. (2016). Importance of measurement of labor productivity in construction. International Journal of Research in Engineering and Technology 5(7), 413–417. http://ijret.esatjournals.org
Gmurman, V. E. (2009). Probability theory and mathematical statistics. Yurayt: Higher education.
Gnedenko, B. V., Belyayev, Y. K., & Solovyev, A. D. (2014). Mathematical methods of reliability theory. Academic Press.
Hanna, A. S., Taylor, C. S., & Sullivan, K. T. (2005). Impact of extended overtime on construction labor productivity. Journal of Construction Engineering and Management, 131(6), 734–739.
Iraqi Standard Specification. (1988), Iraq Quality Standards. № /24/1988.
Jaśkowski, P. (2015). Methodology for enhancing reliability of predictive project schedules in construction. Eksploatacja i Niezawodność – Maintenance and Reliability, 17(3), 470–479. https://doi.org/10.17531/ein.2015.3.20
Javed, A., Pan, W., Chen, L., & Zhan, W. (2018). A systemic exploration of drivers for and constraints on construction productivity enhancement. Built Environment Project and Asset Management, 8(3), 239–252. https://doi.org/10.1108/BEPAM-10-2017-0099
Kalatjari, V., Kaveh, A., & Manssorian, P. (2011). System reliability assessment of redundant trusses using improved algebraic force method and artificial intelligence. Asian Journal of Civil Engineering, 12(4), 523–550.
Kaveh, A., Biabani Hamedani, K., & Kamalinejad, M. (2021a). Set theoretical variants of optimization algorithms for system reliability-based design of truss structures. Periodica Polytechnica Civil Engineering, 65(3), 717–729. https://doi.org/10.3311/PPci.17519
Kaveh, A., & Dadras Eslamlou, A. (2019). An efficient method for reliability estimation using the combination of asymptotic sampling and weighted simulation. Scientia Iranica., 26(4), 2108–2122. https://doi.org/10.24200/sci.2019.21367
Kaveh, A., Hoseini Vaez, S. R., Hosseini, P., & Fathali, M. A. (2021b). Heuristic operator for reliability assessment of frame structures. Periodica Polytechnica Civil Engineering, 65(3), 702–716. https://doi.org/10.3311/PPci.17580
Kaveh, A., & Ilchi Ghazaan, M. (2015). Structural reliability assessment utilizing four metaheuristic algorithms. International Journal of Optimization in Civil Engineering, 5(2), 205–225.
Kaveh, A., Javadi, S. M., & Mahdipour Moghanni, R. (2020). Reliability analysis via an optimal covariance matrix adaptation evolution strategy: Emphasis on applications in civil engineering. Periodica Polytechnica Civil Engineering, 64(2), 579–588. https://doi.org/10.3311/PPci.15793
Kaveh, A., Massoudi, M. S., & Bagha, M. G. (2014). Structural reliability analysis using charged system search algorithm. Iranian Journal of Science and Technology, 38(C2), 439–448.
Kaveh, A., Rastegar Moghaddam, M., & Khanzadi, M. (2018). Efficient multi-objective optimization algorithms for construction site layout problem. Scientia Iranica, 25(4), 2051–2062. https://doi.org/10.24200/sci.2017.4216
Khaleel, T., & Nassar, Y. (2018). Identification and analysis of factors affecting labour productivity in Iraq. MATEC Web of Conferences, 162, 02032. https://doi.org/10.1051/matecconf/201816202032
Khanzadi, M., Nasirzadeh, F., Mir, M., & Nojedehi, P. (2018). Prediction and improvement of labor productivity using hybrid system dynamics and agent-based modeling approach. Construction Innovation, 18(1), 2–19. https://doi.org/10.1108/CI-06-2015-0034
Loganathan, S., & Kalidindi, S. (2015). Masonry labor construction productivity variation. In: Proceedings of the First Indian Lean Constr. An Indian case study. https://www.researchgate.net/publication/272744373
Mahmoud, A. H. (2020). Factors affecting performance at the Iraqi Construction Projects, Ministry of Construction, and Housing and Municipalities and Public Works of Iraq as a case study. Asian Journal of Civil Engineering, 21, 105–118. https://doi.org/10.1007/s42107-019-00195-1
Medhi, J. (2003). Stochastic models in queueing theory (2nd ed.). Academic press.
Ministry of Construction, Housing, Municipalities and Public Works in Iraq. Standard Guide for Price Analysis / Part 1, 2013, P. (63\1–65\1). https://www.moch.gov.iq/uploads/part.1_AttachFile41.pdf
Mlybari, E. A. (2020). Application of soft computing techniques to predict construction labor productivity in Saudi Arabia. International Journal of GEOMATE, 19(71), 203–210. https://doi.org/10.21660/2020.71.31349
Palikhe, S., Kim, S., & Kim, J. J. (2019). Factors and dynamic modeling of construction labor productivity. International Journal of Civil Engineering, 17, 427. https://doi.org/10.1007/s40999-018-0282-3
Rad, K. G., & Kim, S. Y. (2018). Factors affecting construction labor productivity: Iran case study. Iranian Journal of Science and Technology, Transactions of Civil Engineering, 42, 165–180. https://doi.org/10.1007/s40996-018-0095-2
Rahman, I. A., Memon, A. H., Memon, A. Q., & Shaikh, M. A., Siddiqui, F. (2019). Factors affecting the labour productivity in construction projects of Pakistan. In: Enhancing Constr. Industry Through. IR4.0 (IConBEE2018), (vol. 266, pp. 05010). https://doi.org/10.1051/matecconf/201926605010
Rasool, S. H., & Al-Zwainy, F. M. S. (2016). Estimating productivity of brickwork item using logistic and multiple regression approaches. Scholars Journal of Engineering and Technology, 4(5), 234–243.
Singh, M. S., Tejaswini, D. N., Narwade, R., & Nagarajan, K. (2019). Factors affecting the labor productivity of brickwork and analyzing them using RII method. International Journal of Advanced Technology and Engineering Exploration, 6(54), 143–151. https://doi.org/10.19101/IJATEE.2019.650043
Supreme Judicial Council in Iraq. Law No. 37 of 2015 / Iraqi Labor Law (Article 40) http://iraqld.hjc.iq:8080/LoadLawBook.aspx?page=1&SC=&BookID=32566
Svintsov, A. P., & Noor, A. A. A. (2020). Planning of an experimental research of the organization of townhouses’ construction. Journal of Physics: Conference Series, 1687, 012016. https://doi.org/10.1088/1742-6596/1687/1/012016
Thomas, A.V., & Sudhakumar, J. (2013). Labour productivity variability among labour force–A case study. The International Journal of Engineering and Science, 2(5), 57–65. www.theijes.com
Tsehayae, A. A., & Fayek, A. R. (2016). System model for analyzing construction labor productivity. Construction Innovation, 16(2), 203–228. https://doi.org/10.1108/CI-07-2015-0040
Acknowledgements
This paper has been supported by the RUDN University Strategic Academic Leadership Program.
Funding
This work was funded by Ministry of Education and Science of the Russian Federation (The RUDN University Strategic Academic Leadership Program).
Author information
Authors and Affiliations
Contributions
All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by AAAN and APS. The first draft of the manuscript was written by APS and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Svintsov, A.P., Abd Noor, A.A. Evaluation of the reliability of the erection of brick walls structures of low-rise residential buildings. Asian J Civ Eng 23, 187–201 (2022). https://doi.org/10.1007/s42107-022-00415-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s42107-022-00415-1