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Cited by 434

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Material Waste in Building Industry: Main Causes and Prevention

Formoso, Carlos T., Soibelman, Lucio, De Cesare, Claudia, Isatto, Eduardo L.·2002·Journal of Construction Engineering and Management
DOI 10.1061/(asce)0733-9364(2002)128:4(316

Abstract

Material waste has been recognized as a major problem in the construction industry that has important implications both for the efficiency industry and for the environmental impact of construction projects. Moreover, waste measurement plays an important role in the management of production systems since it is an effective way to assess their performance, allowing areas of potential improvement to be pointed out. This paper describes the main results of two research studies carried out in Brazil that investigated the occurrence of material waste at 74 building sites located in different regions of that country. Some typical figures for the waste of some key construction materials are provided, and the main causes of waste in the sector are discussed. The results indicate that the waste of materials in the Brazilian building industry is fairly high and that a large variability in waste incidence is found across different projects. Most of this waste can be avoided by implementing inexpensive preventive measures, mostly related to managerial improvements.

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Metadata

Authors
Formoso, C. T., Soibelman, L., De Cesare, C., & Isatto, E. L.
Venue
Journal of Construction Engineering and Management
Published
2002-08
Volume
128
Issue
4
Pages
316-325
ISSN
  • 0733-9364 (ISSN-L)
  • 1943-7862
DOI
10.1061/(asce)0733-9364(2002)128:4(316
OpenAlex
W2113869233
Cited by
434
References
0
FWCI
23.83
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Material Waste in Building Industry: Main Causes and Prevention. https://app.cochat.ai/papers/10.1061/(asce)0733-9364(2002)128:4(316
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Formoso, C. T., Soibelman, L., De Cesare, C., & Isatto, E. L. (2002). Material Waste in Building Industry: Main Causes and Prevention. Journal of Construction Engineering and Management. https://doi.org/10.1061/(asce)0733-9364(2002)128%3A4(316

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.