Citas bibligráficas
Ayalo, S., Ayalo, W. (2021). Optimización del proceso de excavación masiva utilizando Value Stream Mapping en proyectos multifamiliares ubicados en Lima [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/657415
Ayalo, S., Ayalo, W. Optimización del proceso de excavación masiva utilizando Value Stream Mapping en proyectos multifamiliares ubicados en Lima [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2021. http://hdl.handle.net/10757/657415
@misc{renati/396980,
title = "Optimización del proceso de excavación masiva utilizando Value Stream Mapping en proyectos multifamiliares ubicados en Lima",
author = "Ayalo López, Willy Alessandro",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2021"
}
Due to the increase in land value and population growth in the top districts of Lima, real estate projects are designed with a greater number of basements to meet the demand for parking. Therefore, in this research we are going to use the Value Stream Mapping tool to optimize the massive excavation process. Value Stream Mapping is a tool used in the manufacturing industry that belongs to the Lean Manufacturing philosophy, this tool consists of identifying the flow of the value chain of a certain activity and by means of a graphic to have a complete vision of the workflow and all the processes involved. Through this mapping it will be much easier to identify the processes that do not add value to the activity and then apply improvements to optimize the mass excavation process. To analyze the mass excavation process, data obtained from three projects located in Lima with excavation depths of 3 and 4 rings were used. The current state mapping of these projects allowed us to make a general diagnosis and identify the processes with the longest non-productive times. Finally, a future state mapping is elaborated considering the improvement proposal for the two-excavator handrail disposal process, the improvement proposal is implemented in a fourth project with an excavation depth of 6 rings, with the results obtained it is justified that using the Value Stream Mapping tool the massive excavation process can be optimized.
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