Analysis of labor performance in masonry work in two-story houses in the city of Cuenca

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Luis Alberto Cruz Espinoza
José David Quizhpe Campoverde
Nayra Mendoza Enríquez

Abstract

Introduction. This article is based on the analysis of labor performance in masonry in housing in the city of Cuenca, which directly influences productivity and is a crucial part of the economy of a nation. The yields used in the budgets and programming of works, must be based on multiple observations and statistical analysis, in the companies dedicated to the construction many of the economic losses are affected by the human factor and many times they are not identified and quantified. Objective. To analyze the labor yields in masonry items in houses of up to two floors in the city of Cuenca, comparing the results with the information of the Chamber of Construction of Cuenca to generate strategies to improve performance. Methodology. This study was conducted in four stages: in the first stage, the collection of data and the calculation of labor performance in masonry items, in the second stage, the comparison and analysis of data with the Chamber of Construction of Cuenca, in the third stage, a literature review was conducted and a strategy was defined to improve labor performance in masonry items, in the fourth stage, recommendations of technical specifications and the correct masonry construction process are given. Results. Through the methodology applied, the results show that for the five masonry items under study: industrial brick, handmade brick, exposed brick, pumice block and mixed block (pumice-concrete), the labor yields are lower than those of the Cuenca Chamber of Construction, except for industrial brick. Conclusion. Labor yields are affected by some factors that negatively affect productivity, but by implementing the strategy of training construction workers, a significant improvement is expected.

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Cruz Espinoza, L. A., Quizhpe Campoverde, J. D., & Mendoza Enríquez, N. (2023). Analysis of labor performance in masonry work in two-story houses in the city of Cuenca. ConcienciaDigital, 6(1.1), 35-61. https://doi.org/10.33262/concienciadigital.v6i1.1.2462
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References

Abdelmasseh, R. M., Bassioni, H. A., & Gaid, E. F. (2022). Project Manager Skills affecting Construction Projects in Egypt. IOP Conference Series: Earth and Environmental Science, 1056(1). https://doi.org/10.1088/1755-1315/1056/1/012038
Anand, K. B., & Ramamurthy, K. (2003). Laboratory-Based Productivity Study on Alternative Masonry Systems. Journal of Construction Engineering and Management, 129(3), 237–242. https://doi.org/10.1061/(asce)0733-9364(2003)129:3(237)
Castro-Lacouture, F. (2014). Optical Crew Design for Masonry Construction Projects Considering Contactor´s Requirements and Workers ‘Needs. Construction Research Congress 2014, 2008, 140–149.
Edum-Fotwe, F. T., & McCaffer, R. (2000). Developing project management competency: Perspectives from the construction industry. International Journal of Project Management, 18(2), 111–124. https://doi.org/10.1016/S0263-7863(98)90075-8
El-Gohary, K. M., & Aziz, R. F. (2014). Factors Influencing Construction Labor Productivity in Egypt. Journal of Management in Engineering, 30(1), 1–9. https://doi.org/10.1061/(asce)me.1943-5479.0000168
Espinoza, E. (2016). Universo, muestra y muestreo, UIC, 1–23. Biblioteca Virtual en Salud de Honduras. http://www.bvs.hn/Honduras/UICFCM/SaludMental/UNIVERSO.MUESTRA.Y.MUESTREO.pdf
Florez, L., & Cortissoz, J. C. (2016). Defining a Mathematical Function for Labor Productivity in Masonry Construction: A Case Study. Procedia Engineering, 164(June), 42–48. https://doi.org/10.1016/j.proeng.2016.11.590
Giang, D. T. H., & Sui Pheng, L. (2011). Role of construction in economic development: Review of key concepts in the past 40 years. Habitat International, 35(1), 118–125. https://doi.org/10.1016/j.habitatint.2010.06.003
González Jorge, B. M. (2009). Capacitación en obra para obtener la polivalencia de los operarios y verificación de sus efectos en la construcción civil. Ca, 4(1), 88–100.
Holton, E. F., Swanson, R. A., & Naquin, S. S. (2008). Andragogy in Practice: Clarifying the Andragogical Model of Adult Learning. Performance Improvement Quarterly, 14(1), 118–143. https://doi.org/10.1111/j.1937-8327.2001.tb00204.x
Jarkas, A. M. (2010). Analysis and measurement of buildability factors affecting edge formwork labor productivity. Journal of Engineering Science and Technology Review, 3(1), 142–150. https://doi.org/10.25103/jestr.031.24
Jarkas, Abdulaziz, M., & Bitar, C. G. (2012). Factors Affecting Construction Labor Productivity in Kuwait. Journal of Construction Engineering and Management, 138(7), 811–820. https://doi.org/10.1061/(asce)co.1943-7862.0000501
Khanh, H. D., & Kim, S. Y. (2014). Determining labor productivity diagram in high-rise building using straight-line model. KSCE Journal of Civil Engineering, 18(4), 898–908. https://doi.org/10.1007/s12205-014-0521-3
Krishna Prasad, Kisi. (2015). Estimation of Optimal Productivity in Labor- Intensive Construction Operations. Doctoral Dissertation, Graduate College of the University of Nebraska. http://digitalcommons.unl.edu/constructiondiss%5Cnhttp://digitalcommons.unl.edu/constructiondiss/19
Krishna, Prasad. Kisi., Nirajam, Mani., Rojas, E. M., & Terence Foster, E. (2016). A Case Study on Estimating Optimal Labor Productivity. Construction Research Congress 2016: Old and New Construction Technologies Converge in Historic San Juan - Proceedings of the 2016 Construction Research Congress, CRC 2016, May 1762–1771. https://doi.org/10.1061/9780784479827.176
Muqeem, S., Idrus, A., Khamidi, M. F., Bin Ahmad, J., & Bin Zakaria, S. (2011). Construction labor production rates modeling using artificial neural network. Electronic Journal of Information Technology in Construction, 16(June), 713–726.
Naoum. S. G. (2016). Article information: Factors influencing labor productivity on construction sites. A state-of-the-art literature review and a survey. International Journal of Productivity and Performance Management.
Porntepkasemsant, P., & Charoenpornpattana, S. (2015). Factor affecting construction labor productivity in Thailand. IEOM 2015 - 5th International Conference on Industrial Engineering and Operations Management, Proceeding, 3–8. https://doi.org/10.1109/IEOM.2015.7093749
Puplampu, B. B. (2019). A Critical Look at Ghana’s Human Capital Development Agenda: Where Do We Go from Here? Contemporary Journal of African Studies, 6(2), 108–126. https://doi.org/10.4314/contjas.v6i2.5
Sanders, Steve., & Thomas, R. (1992). Factors Affecting Masonry-Labor Productivity. 117(4), 626–644.
Serpell, A. (1986). Productividad en la construcción. In Revista Ingeniería de Construcción (Vol. 1, pp. 53–59).
Sweis, G., Sweis, R., Abu Hammad, A., & Shboul, A. (2008). Delays in construction projects: The case of Jordan. International Journal of Project Management, 26(6), 665–674. https://doi.org/10.1016/j.ijproman.2007.09.009
Tam, N. Van. (2018). Factors Affecting Laboure Productivity of Construction Worker on Construction Site: A Case of Hanoi. Construction Research Congress, Winds of Change: Integration and Innovation in Construction, Proceedings of the Congress, 12(5), 25–32. https://doi.org/10.1061/40671(2003)4
Zabala, J. (2021, noviembre 30). Maestro seguro: capacitación de calidad a través del micro learning. Primicias. https://www.primicias.ec/noticias/patrocinado/maestro-seguro-capacitacion-de-calidad-a-traves-del-telefono-celular/

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