IGLC.net
EXPORT DATE: 18 April 2024

@CONFERENCE{Torre2021,
author={Torre, Jorge R. De La and Taboada, Luisa J. and Picoy, Pool E. },
editor={ },
title={Road Construction Labor Performance Control Using PPC, PCR and RNC During the Pandemic}, 
journal={Proc. 29th Annual Conference of the International Group for Lean Construction (IGLC)}, 
booktitle={Proc. 29th Annual Conference of the International Group for Lean Construction (IGLC)}, 
year={2021},
pages={747-756},
url={http://www.iglc.net/papers/details/1921},
doi={10.24928/2021/0166},
affiliation={Magister Civil Engineer, Universidad Peruana de Ciencias Aplicadas, Lima, Peru, +51 975 355 566, pccijdel@upc.edu.pe, orcid.org/0000-0003-3596-8196 ; Bachelor of School of Civil Engineering, Universidad Peruana de Ciencias Aplicadas, Lima, Peru, +51  994 324 260, u201521217@upc.edu.pe, orcid.org/0000-0002-8413-5011  ; Bachelor of School of Civil Engineering, Universidad Peruana de Ciencias Aplicadas, Lima, Peru, +51 922 542 234, u201316815@upc.edu.pe, orcid.org/0000-0003-2372-9083 },
abstract={At the beginning of 2020, the Coronavirus pandemic had various countries negatively affected in the development of their economic activities, as their industries had to interrupt production, hindering their performance and economic development. Before this occurrence, it was known that the evolution of construction labor performance on site was minimum and had high indicators of variability. Due to this, extensive literature reviews have presented Last Planner® System as a methodology to mitigate and improve performance, mostly, in building construction. However, this deficiency presents itself with more frequency in road projects and worsens because of the pandemic. Having this said, it is important to control labor performance during the sanitary crisis in road projects. Therefore, in this context, the objective of this investigation is to validate the use of Last Planner® System methodology indicators (Percentage of Plan Completed and Percentage of Constraint Removal) as mechanisms of labor control. The findings evidence a direct relationship between improving indicators of Last Planner® System and a better labor performance while meeting budgeted yields.This in turn has validated the use of Last Planner indicators. Regarding the Reasons for non Completion, the impact of external factors merits and additional investigation due to frequency of occurrence. },
author_keywords={Last Planner® System, lean construction, variability, performance, labor. },
address={Lima, Peru },
issn={ },
publisher={ },
language={English},
document_type={Conference Paper},
source={IGLC},
}