International conference on construction engineering and project management (국제학술발표논문집)

  • 2024.07a
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  • Pages.25-32
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  • 2024
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  • 2508-9048(eISSN)
Korea Institute of Construction Engineering and Management (한국건설관리학회)
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Multi-objective permutation flow shop scheduling in precast production under consideration of embodied carbon emissions

  • Zhongfu LI (Department of Construction Management, School of Infrastructure Engineering, Dalian University of Technology) ;
  • Ruiyan ZHENG (Department of Construction Management, School of Infrastructure Engineering, Dalian University of Technology)
  • Published : 2024.07.29
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Abstract

Conventional construction methods face significant challenges in reducing carbon emissions and promoting environmental sustainability. Off-Site Construction (OSC) method is widely recognized as a low-carbon, high-efficiency alternative construction method. However, in practice, it often fails to deliver the expected benefits, leading to issues such as excessive carbon emissions, unpunctual delivery, and cost overruns in OSC projects. In order to ensure the carbon benefits of OSC and further its development,this study conducts an in-depth analysis of embodied carbon emissions in the precast production process, proposes a multi-objective optimization model based on the permutation flow shop scheduling problem, and designs an automated solution algorithm using NSGA-II to derive Pareto optimal schedules. Through the analysis of real-world case data, the proposed approach, compared to conventional scheduling methods, is estimated to reduce embodied carbon emissions by approximately 6 % while simultaneously cutting tardiness/earliness penalty by 75%. This study offers a model for precast production scheduling, effectively enhancing production efficiency and reducing carbon emissions, enabling construction component enterprises to engage in low-carbon, cost-effective, and efficient production, thereby fostering sustainable development in the construction industry.

Keywords

Acknowledgement

The support of National Natural Science Foundation of China (NSFC) (No. 72371050 and No. 72071027) is gratefully acknowledged.

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