Proposal of a mathematical model of labor performance in masonry plastering. Case study: city of Cuenca
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Abstract
Introduction. The prediction of labor performance in the masonry plastering activity is crucial to ensure efficient planning in the construction industry. Accurate prediction of this activity is vital to avoid delays, control costs and meet contractual deadlines, which highlights the importance of this study in the optimization of construction processes. Objective. The purpose of this research is to present a mathematical model to anticipate labor performance in the activity of masonry plastering with mortar, using a linear regression technique. Methodology. A relational-descriptive methodological design was adopted, which began with a literature review to identify the factors that influence workers' performance. Subsequently, a data collection instrument was designed and applied to a sample of seven construction sites registered in the database of the GAD municipal de Cuenca, located in the mortar plastering phase in the parish of Yanuncai. The data collected were analyzed using a statistical program, which allowed the development of a mathematical model to predict the performance of workers according to the factors studied. Results. The results revealed that the model developed can effectively predict the performance of the workers considering both external and internal factors of the construction site. It was found that, for the masonry plastering activity, only certain factors, such as time, temperature, soil type, roof characteristics, level of difficulty, associated risks, work methods and worker skill, can predict this performance using linear regression. Conclusion. In conclusion, it is evident that theoretical performance is not effective in predicting actual labor performance, and the effectiveness of linear regression in improving the planning capacity of construction sector managers in the city of Cuenca is highlighted.
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