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/0000-0002-9746-4025
²Civil 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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