TY  - CONF
TI  - Relations Between Preconditions, Categories and Impacts of Making-Do Wastes
C1  - Edmonton, Canada
C3  - Proc. 30th Annual Conference of the International Group for Lean Construction (IGLC)
SP  - 1111
EP  - 1122
PY  - 2022
DO  - 10.24928/2022/0219
AU  - Amaral, Tatiana Gondim do 
AU  - Braga, Pedro Dantas Bezerra 
AU  - Vieira, Sara Vieira 
AU  - Neto, José de Paula Barros 
AD  - Associate Professor, Environmental and Civil Engineering Department, Federal University of Goiás,  Brazil, tatianagondim@ufg.br, orcid.org/0000-0002-9746-4025
AD  - Civil engineer, Environmental and Civil Engineering Department, Federal University of Rio Grande do  Norte, Brazil, pedro_braga@icloud.com, orcid.org/0000-0002-2476-8626
AD  - Full Professor, Structural and Civil Construction Department, Federal University of Ceará, Brazil,  barrosneto@gercon.ufc.br, orcid.org/0000-0001-5131-4593 
AD  - Full Professor, Structural and Civil Construction Department, Federal University of Ceará, Brazil,  barrosneto@gercon.ufc.br, orcid.org/0000-0001-5131-4593 
AB  - Civil construction is known for its high production of waste and low productivity. Understanding the causes of making-do waste makes it possible to minimize waste in construction processes. This study aims to analyze possible causes and consequences among possible relations between prerequisites, categories and impacts of making-do waste in order to act more effectively in combating waste reducing the main problems identified that cause their occurrence. Some existing prerequisites can be determined: information, materials and components, and labor, are highly likely to occur. Concerning the categories, the following can be highlighted: component adjustment, sequencing, and storage. These combinations generally affect the seven impacts caused by making-do waste. The main contribution of this study was to analyze the possible causes and consequences of the relationship between prerequisites, categories and impacts of making-do waste. Using the dashboard developed in the Power BI platform, relations between the chosen parameters could be determined, and how prerequisites, categories and impacts interacted with other variables in the database
KW  - Making-do. Improvisation. Waste. Rework. Business intelligence
PB  - 
T2  - Proc. 30th Annual Conference of the International Group for Lean Construction (IGLC)
DA  - 2022/07/27
CY  - Edmonton, Canada
L1  - http://iglc.net/Papers/Details/2035/pdf
L2  - http://iglc.net/Papers/Details/2035
N1  - Export Date: 05 May 2024
DB  - IGLC.net
DP  - IGLC
LA  - English
ER  -