Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/105256
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Logistics and Maritime Studies | - |
dc.contributor | Department of Building and Real Estate | - |
dc.creator | Wang, H | - |
dc.creator | Yi, W | - |
dc.date.accessioned | 2024-04-12T06:51:02Z | - |
dc.date.available | 2024-04-12T06:51:02Z | - |
dc.identifier.uri | http://hdl.handle.net/10397/105256 | - |
dc.language.iso | en | en_US |
dc.publisher | MDPI | en_US |
dc.rights | © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | en_US |
dc.rights | The following publication Wang H, Yi W. Optimization Models for Reducing Off-Cuts of Raw Materials in Construction Site. Mathematics. 2022; 10(24):4651 is available at https://doi.org/10.3390/math10244651. | en_US |
dc.subject | Construction waste management | en_US |
dc.subject | Green construction sites | en_US |
dc.subject | Integer linear programming | en_US |
dc.subject | Sustainable construction | en_US |
dc.title | Optimization models for reducing off-cuts of raw materials in construction site | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 10 | - |
dc.identifier.issue | 24 | - |
dc.identifier.doi | 10.3390/math10244651 | - |
dcterms.abstract | More than ten billion tons of construction waste are generated every year in the world. The large volume of construction waste not only increases costs for contractors, but also poses a threat to the environment. A significant proportion of construction waste consists of off-cuts of raw materials. Therefore, to reduce construction waste, this study builds an optimization model to reduce the volume of off-cuts of raw materials. We then develop two solution methods—a mixed-integer linear programming method and a column generation method—to solve the proposed optimization model. We conduct numerical experiments to test the efficiency and applicability of our proposed model. The mixed-integer linear programming method obtains optimal solutions and is suitable for solving small-scale instances, whereas the column generation method gives high-quality solutions within seconds and is suitable for solving large-scale instances. In the large-scale instances, the column generation method reduces waste by over 10% compared to the use of two straightforward decisions rules. Our findings will help construction projects decrease material off-cuts, reduce costs, and achieve sustainable construction. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Mathematics, Dec. 2022, v. 10, no. 24, 4651 | - |
dcterms.isPartOf | Mathematics | - |
dcterms.issued | 2022-12 | - |
dc.identifier.scopus | 2-s2.0-85144710924 | - |
dc.identifier.eissn | 2227-7390 | - |
dc.identifier.artn | 4651 | - |
dc.description.validate | 202403 bcvc | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_Scopus/WOS | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | Hong Kong Polytechnic University | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | CC | en_US |
Appears in Collections: | Journal/Magazine Article |
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File | Description | Size | Format | |
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mathematics-10-04651.pdf | 829.47 kB | Adobe PDF | View/Open |
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