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- Publisher Website: 10.1016/j.autcon.2023.105003
- Scopus: eid_2-s2.0-85163394901
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Article: Automatic work package sizing for cost-effective modular construction
Title | Automatic work package sizing for cost-effective modular construction |
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Authors | |
Keywords | Cost management Dynamic programming Modular construction Work package |
Issue Date | 1-Jul-2023 |
Publisher | Elsevier |
Citation | Automation in Construction, 2023, v. 154 How to Cite? |
Abstract | The accurate determination of work package size is crucial for cost reduction and achieving efficient mass production in modular construction (MC) projects. However, effectively balancing sizing and cost poses a significant challenge due to the absence of a precise trade-off method. This paper describes an automatic work package sizing (AWPS) method in MC production to optimize work package sizing while minimizing costs. First, the multi-stakeholders-oriented MC production process is modeled to identify the tasks in MC production. Second, critical factors affecting the size of work packages are identified and analyzed. Then, a dynamic programming algorithm is developed to merge the tasks to work packages at a minimal cost. The AWPS method is validated in a case study, and the results show that the AWPS can effectively package production tasks while reducing costs by 1.28%–16.25% compared with traditional task-organizing methods. |
Persistent Identifier | http://hdl.handle.net/10722/338046 |
ISSN | 2023 Impact Factor: 9.6 2023 SCImago Journal Rankings: 2.626 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Liu, Zisheng | - |
dc.contributor.author | Li, Xiao | - |
dc.contributor.author | Wu, Chengke | - |
dc.contributor.author | Ma, Jun | - |
dc.contributor.author | Yang, Zhile | - |
dc.contributor.author | Guo, Yuanjun | - |
dc.date.accessioned | 2024-03-11T10:25:50Z | - |
dc.date.available | 2024-03-11T10:25:50Z | - |
dc.date.issued | 2023-07-01 | - |
dc.identifier.citation | Automation in Construction, 2023, v. 154 | - |
dc.identifier.issn | 0926-5805 | - |
dc.identifier.uri | http://hdl.handle.net/10722/338046 | - |
dc.description.abstract | <p>The accurate determination of work package size is crucial for cost reduction and achieving efficient mass production in <a href="https://www.sciencedirect.com/topics/engineering/modular-construction" title="Learn more about modular construction from ScienceDirect's AI-generated Topic Pages">modular construction</a> (MC) projects. However, effectively balancing sizing and cost poses a significant challenge due to the absence of a precise trade-off method. This paper describes an automatic work package sizing (AWPS) method in MC production to optimize work package sizing while minimizing costs. First, the multi-stakeholders-oriented MC production process is modeled to identify the tasks in MC production. Second, critical factors affecting the size of work packages are identified and analyzed. Then, a dynamic programming algorithm is developed to merge the tasks to work packages at a minimal cost. The AWPS method is validated in a case study, and the results show that the AWPS can effectively package production tasks while reducing costs by 1.28%–16.25% compared with traditional task-organizing methods.</p> | - |
dc.language | eng | - |
dc.publisher | Elsevier | - |
dc.relation.ispartof | Automation in Construction | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Cost management | - |
dc.subject | Dynamic programming | - |
dc.subject | Modular construction | - |
dc.subject | Work package | - |
dc.title | Automatic work package sizing for cost-effective modular construction | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.autcon.2023.105003 | - |
dc.identifier.scopus | eid_2-s2.0-85163394901 | - |
dc.identifier.volume | 154 | - |
dc.identifier.isi | WOS:001040170200001 | - |
dc.identifier.issnl | 0926-5805 | - |