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Proceedings of the 2nd International Conference on Engineering Management and Information Science, EMIS 2023, February 24-26, 2023, Chengdu, China

Research Article

Research on the Optimization of Construction Schedule of Super High-rise Prefabricated Buildings

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  • @INPROCEEDINGS{10.4108/eai.24-2-2023.2330610,
        author={Jiaqiang  Ren and Bo  Li},
        title={Research on the Optimization of Construction Schedule of Super High-rise Prefabricated Buildings},
        proceedings={Proceedings of the 2nd International Conference on Engineering Management and Information Science, EMIS 2023, February 24-26, 2023, Chengdu, China},
        publisher={EAI},
        proceedings_a={EMIS},
        year={2023},
        month={6},
        keywords={super high-rise; prefabricated buildings; construction schedule; optimization},
        doi={10.4108/eai.24-2-2023.2330610}
    }
    
  • Jiaqiang Ren
    Bo Li
    Year: 2023
    Research on the Optimization of Construction Schedule of Super High-rise Prefabricated Buildings
    EMIS
    EAI
    DOI: 10.4108/eai.24-2-2023.2330610
Jiaqiang Ren1,*, Bo Li1
  • 1: Shenyang Jianzhu University
*Contact email: 1939251760@qq.com

Abstract

An optimization model was established for the standard floor construction period against the current management situation of the super high-rise assembly construction schedule with manpower usage, material consumption and machinery usage as main reference variables, so as to prevent from affecting the construction schedule. And the best linear relationship of the minimum duration was obtained to optimize the construction schedule through the LINGO programming operation. Moreover, the feasibility of the optimized model is verified to be more reasonable than the traditional method over the resource allocation in combination with the engineering cases. Evidently, the optimized model can shorten the construction period.

Keywords
super high-rise; prefabricated buildings; construction schedule; optimization
Published
2023-06-15
Publisher
EAI
http://dx.doi.org/10.4108/eai.24-2-2023.2330610
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