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A decision support framework to evaluate the main factors affecting the selection of sustainable materials in construction projects

Author

Listed:
  • Ebrahim Aghazadeh
  • Hasan Yildirim

Abstract

In the present paper, a decision support framework is proposed to solve the problem of sustainable material selection in the construction industry. The developed framework is configured based on statistical analysis methods and a hybrid fuzzy MCDM method. By combining fuzzy AHP and fuzzy TOPSIS methods, the proposed framework was created and implemented for a case study in a mass-house building project in Iran. The purpose of the decision-making process was to choose a new optimal construction system considering criteria affecting the sustainable materials. The results of the ranking criteria showed that the most significant sub-criteria for the selection of sustainable materials were minimising the environmental impacts (ozone depletion, etc.), life-cycle cost, capability to optimise energy consumption, compatibility with sustainable development regulations (LCA, LEED, etc.), material investment long-term cost, respectively. The results also showed that the LSF, ICF, and 3DP systems have more priorities than others, respectively.

Suggested Citation

  • Ebrahim Aghazadeh & Hasan Yildirim, 2024. "A decision support framework to evaluate the main factors affecting the selection of sustainable materials in construction projects," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 47(4), pages 449-495.
    • Handle: RePEc:ids:ijsoma:v:47:y:2024:i:4:p:449-495
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