IGLC.net EXPORT DATE: 5 May 2024 @CONFERENCE{Amaral2022, author={Amaral, Tatiana Gondim do and Braga, Pedro Dantas Bezerra and Vieira, Sara Vieira and Neto, José de Paula Barros }, editor={ }, title={Relations Between Preconditions, Categories and Impacts of Making-Do Wastes}, journal={Proc. 30th Annual Conference of the International Group for Lean Construction (IGLC)}, booktitle={Proc. 30th Annual Conference of the International Group for Lean Construction (IGLC)}, year={2022}, pages={1111-1122}, url={http://www.iglc.net/papers/details/2035}, doi={10.24928/2022/0219}, affiliation={Associate Professor, Environmental and Civil Engineering Department, Federal University of Goiás, Brazil, tatianagondim@ufg.br, orcid.org/0000-0002-9746-4025 ; 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 ; Full Professor, Structural and Civil Construction Department, Federal University of Ceará, Brazil, barrosneto@gercon.ufc.br, orcid.org/0000-0001-5131-4593 ; Full Professor, Structural and Civil Construction Department, Federal University of Ceará, Brazil, barrosneto@gercon.ufc.br, orcid.org/0000-0001-5131-4593 }, abstract={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 }, author_keywords={Making-do. Improvisation. Waste. Rework. Business intelligence }, address={Edmonton, Canada }, issn={2309-0979 }, publisher={ }, language={English}, document_type={Conference Paper}, source={IGLC}, }