https://doi.org/10.24928/2022/0219
Relations Between Preconditions, Categories and Impacts of Making-Do Wastes
Tatiana Gondim do Amaral1, Pedro Dantas Bezerra Braga2, Sara Vieira Vieira3 & José de Paula Barros Neto4
1Associate Professor, Environmental and Civil Engineering Department, Federal University of Goiás, Brazil, [email protected], orcid.org/0000-0002-9746-40252Civil engineer, Environmental and Civil Engineering Department, Federal University of Rio Grande do Norte, Brazil, [email protected], orcid.org/0000-0002-2476-8626
3Full Professor, Structural and Civil Construction Department, Federal University of Ceará, Brazil, [email protected], orcid.org/0000-0001-5131-4593
4Full Professor, Structural and Civil Construction Department, Federal University of Ceará, Brazil, [email protected], 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
Keywords
Making-do. Improvisation. Waste. Rework. Business intelligence
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Reference
Amaral, T. G. , Braga, P. D. B. , Vieira, S. V. & Neto, J. P. B. 2022. Relations Between Preconditions, Categories and Impacts of Making-Do Wastes, Proc. 30th Annual Conference of the International Group for Lean Construction (IGLC) , 1111-1122. doi.org/10.24928/2022/0219
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