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A Hybrid Multi-Criteria Decision Support System for Selecting the Most Sustainable Structural Material for a Multistory Building Construction

Author

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  • Mohammad Masfiqul Alam Bhuiyan

    (Construction Engineering and Management, Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada)

  • Ahmed Hammad

    (Construction Engineering and Management, Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada)

Abstract

In recent years, the performance of the construction industry has highlighted the increased need for better resource efficiency, improved productivity, less waste, and increased value through sustainable construction practices. The core concept of sustainable construction is to maximize value and minimize harm by achieving a balance between social, economic, technical, and environmental aspects, commonly known as the pillars of sustainability. The decision regarding which structural material to select for any construction project is traditionally made based on technical and economic considerations with little or no attention paid to social and environmental aspects. Furthermore, the majority of the available literature on the subject considered three sustainability pillars (i.e., environmental, social, and economic), ignoring the influence of technical aspects for overall sustainability assessment. Industry experts have also noted an unfulfilled need for a multi-criteria decision-making (MCDM) technique that can integrate all stakeholders’ (project owner, designer, and constructor) opinions into the selection process. Hence, this research developed a decision support system (DSS) involving MCDM techniques to aid in selecting the most sustainable structural material, considering the four pillars of sustainability in the integrated project delivery (IPD) framework. A hybrid MCDM method combining AHP, TOPSIS, and VIKOR in a fuzzy environment was used to develop the DSS. A hypothetical eight-story building was considered for a case study to validate the developed DSS. The result shows that user preferences highly govern the final ranking of the alternative options of structural materials. Timber was chosen as the most sustainable option once the stakeholders assigned balanced importance to all factors of sustainable construction practices. The developed DSS was designed to be generic, can be used by any group of industry practitioners, and is expected to enhance objectivity and consistency of the decision-making process as a step towards achieving sustainable construction.

Suggested Citation

  • Mohammad Masfiqul Alam Bhuiyan & Ahmed Hammad, 2023. "A Hybrid Multi-Criteria Decision Support System for Selecting the Most Sustainable Structural Material for a Multistory Building Construction," Sustainability, MDPI, vol. 15(4), pages 1-36, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3128-:d:1062285
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    References listed on IDEAS

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    2. Wang, Yuwei & Shi, Lin & Song, Minghao & Jia, Mengyao & Li, Bingkang, 2024. "Evaluating the energy-exergy-economy-environment performance of the biomass-photovoltaic-hydrogen integrated energy system based on hybrid multi-criterion decision-making model," Renewable Energy, Elsevier, vol. 224(C).
    3. Zhili Jia & Liyi Liu & Zhaofeng Diao, 2024. "A Group Intuitionistic Fuzzy Exponential TODIM Method Considering Attribute Interactions Applied to Green Building Material Supplier Selection," Sustainability, MDPI, vol. 16(18), pages 1-24, September.
    4. Fatemeh Parvaneh & Ahmed Hammad, 2024. "Application of Multi-Criteria Decision-Making (MCDM) to Select the Most Sustainable Power-Generating Technology," Sustainability, MDPI, vol. 16(8), pages 1-32, April.

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