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.
| Original language | English |
|---|---|
| Pages (from-to) | 449-495 |
| Number of pages | 47 |
| Journal | International Journal of Services and Operations Management |
| Volume | 47 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2024 |
Bibliographical note
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Keywords
- affecting factors
- decision support framework
- factor analysis
- hybrid fuzzy MCDM methods
- sustainable material selection