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...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-07-01
|
Series: | Sustainability |
Subjects: | |
Online Access: | https://www.mdpi.com/2071-1050/12/15/5950 |
id |
doaj-b306a1f72e8d4e70aff58a6c094d27eb |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT dongholee speciallengthpriorityalgorithmtominimizereinforcingbarcuttingwasteforsustainableconstruction AT seunghyunson speciallengthpriorityalgorithmtominimizereinforcingbarcuttingwasteforsustainableconstruction AT doyeongkim speciallengthpriorityalgorithmtominimizereinforcingbarcuttingwasteforsustainableconstruction AT sunkukkim speciallengthpriorityalgorithmtominimizereinforcingbarcuttingwasteforsustainableconstruction |
_version_ |
1724592139128537088 |