Special-Length-Priority Algorithm to Minimize Reinforcing Bar-Cutting Waste for Sustainable Construction

Reinforcing bars (rebar), which have the most embodied carbon dioxide (CO<sub>2</sub>) per unit weight in built environments, generate a significant amount of cutting waste during the construction phase. Excessive cutting waste not only increases the construction cost but also contribute...

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Main Authors: Dongho Lee, Seunghyun Son, Doyeong Kim, Sunkuk Kim
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/12/15/5950
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spelling doaj-b306a1f72e8d4e70aff58a6c094d27eb2020-11-25T03:26:33ZengMDPI AGSustainability2071-10502020-07-01125950595010.3390/su12155950Special-Length-Priority Algorithm to Minimize Reinforcing Bar-Cutting Waste for Sustainable ConstructionDongho Lee0Seunghyun Son1Doyeong Kim2Sunkuk Kim3Department of Architectural Engineering, Kyung Hee University, Yongin-si, Gyeonggi-do 17104, KoreaDepartment of Architectural Engineering, Kyung Hee University, Yongin-si, Gyeonggi-do 17104, KoreaDepartment of Architectural Engineering, Kyung Hee University, Yongin-si, Gyeonggi-do 17104, KoreaDepartment of Architectural Engineering, Kyung Hee University, Yongin-si, Gyeonggi-do 17104, KoreaReinforcing bars (rebar), which have the most embodied carbon dioxide (CO<sub>2</sub>) per unit weight in built environments, generate a significant amount of cutting waste during the construction phase. Excessive cutting waste not only increases the construction cost but also contributes to a significant amount of CO<sub>2</sub> emissions. The objective of this paper is to propose a special-length-priority cutting waste minimization (CWM) algorithm for rebar, for sustainable construction. In the proposed algorithms, the minimization method by special and stock lengths was applied. The minimization by special length was performed first, and then the combination by stock length was performed for the remaining rebar. As a result of verifying the proposed algorithms through a case application, it was confirmed that the quantity of rebar was reduced by 6.04% compared with the actual quantity used. In the case building, a CO<sub>2</sub> emissions reduction of 406.6 ton-CO<sub>2</sub> and a cost savings of USD 119,306 were confirmed. When the results of this paper are applied in practice, they will be used as a tool for sustainable construction management as well as for construction cost reduction.https://www.mdpi.com/2071-1050/12/15/5950rebar workcutting wasteminimizationsustainable constructionCO<sub>2</sub> emissioncutting stock problem
collection DOAJ
language English
format Article
sources DOAJ
author Dongho Lee
Seunghyun Son
Doyeong Kim
Sunkuk Kim
spellingShingle Dongho Lee
Seunghyun Son
Doyeong Kim
Sunkuk Kim
Special-Length-Priority Algorithm to Minimize Reinforcing Bar-Cutting Waste for Sustainable Construction
Sustainability
rebar work
cutting waste
minimization
sustainable construction
CO<sub>2</sub> emission
cutting stock problem
author_facet Dongho Lee
Seunghyun Son
Doyeong Kim
Sunkuk Kim
author_sort Dongho Lee
title Special-Length-Priority Algorithm to Minimize Reinforcing Bar-Cutting Waste for Sustainable Construction
title_short Special-Length-Priority Algorithm to Minimize Reinforcing Bar-Cutting Waste for Sustainable Construction
title_full Special-Length-Priority Algorithm to Minimize Reinforcing Bar-Cutting Waste for Sustainable Construction
title_fullStr Special-Length-Priority Algorithm to Minimize Reinforcing Bar-Cutting Waste for Sustainable Construction
title_full_unstemmed Special-Length-Priority Algorithm to Minimize Reinforcing Bar-Cutting Waste for Sustainable Construction
title_sort special-length-priority algorithm to minimize reinforcing bar-cutting waste for sustainable construction
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2020-07-01
description Reinforcing bars (rebar), which have the most embodied carbon dioxide (CO<sub>2</sub>) per unit weight in built environments, generate a significant amount of cutting waste during the construction phase. Excessive cutting waste not only increases the construction cost but also contributes to a significant amount of CO<sub>2</sub> emissions. The objective of this paper is to propose a special-length-priority cutting waste minimization (CWM) algorithm for rebar, for sustainable construction. In the proposed algorithms, the minimization method by special and stock lengths was applied. The minimization by special length was performed first, and then the combination by stock length was performed for the remaining rebar. As a result of verifying the proposed algorithms through a case application, it was confirmed that the quantity of rebar was reduced by 6.04% compared with the actual quantity used. In the case building, a CO<sub>2</sub> emissions reduction of 406.6 ton-CO<sub>2</sub> and a cost savings of USD 119,306 were confirmed. When the results of this paper are applied in practice, they will be used as a tool for sustainable construction management as well as for construction cost reduction.
topic rebar work
cutting waste
minimization
sustainable construction
CO<sub>2</sub> emission
cutting stock problem
url https://www.mdpi.com/2071-1050/12/15/5950
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