국제학술발표논문집 (International conference on construction engineering and project management)

한국건설관리학회 (Korea Institute of Construction Engineering and Management)
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Tabu search-based multi-objective optimization of work package schemes to minimize project costs and carbon emissions

  • Yaning ZHANG (Department of Building and Real Estate, The Hong Kong Polytechnic University) ;
  • Yue TENG (Department of Building and Real Estate, The Hong Kong Polytechnic University) ;
  • Xiao LI (Department of Civil Engineering, The University of Hong Kong)
  • 발행 : 2024.07.29
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초록

Effective project planning is essential in construction project management for timely delivery and economic benefit realization. Work packages are pivotal in this planning, providing clear organization and progress tracking. However, existing methods for creating work package schemes often overlook environmental sustainability, specifically carbon emissions-a growing concern in construction. This study introduces a tabu search-based optimization method for work package schemes, aiming to reduce both project costs and carbon emissions. A cost-carbon model is devised, and a tabu search algorithm is developed to identify the Pareto frontier for total project cost and carbon emissions. A case study shows the tabu search outperforms existing heuristics, reducing carbon emissions by 6.19% with a marginal cost increase of 0.9%. The algorithm's adaptability and generalizability suggest it could significantly enhance economic and sustainable outcomes in construction project planning.

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과제정보

The support of Guangdong Basic and Applied Basic Research Foundation (No. 2023A1515012558), Hong Kong Polytechnic University Carbon Neutrality Fund (No. P0043733), and Young Scientists Fund of National Natural Science Foundation of China (No. 72301232), Research Grants Council of the Hong Kong SAR of China (No. 15219422), and the National Natural Science Foundation of China (No. 72201228) are gratefully acknowledged. The support of China State Construction Hailong Technology Company Limited is acknowledged for the project cases (CSCI-2021-Z-10-07).

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