Probabilistic Multi-Criteria Decision-Making for Circularity Performance of Modern Methods of Construction Products
Fuente:
arXiv
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866913787590737920 |
|---|---|
| author | Meng, Yiping Cavalaro, Sergio Osmani, Frozan Dizaye Mohamed |
| author_facet | Meng, Yiping Cavalaro, Sergio Osmani, Frozan Dizaye Mohamed |
| contents | The construction industry faces increasingly more significant pressure to reduce resource consumption, minimise waste, and enhance environmental performance. Towards the transition to a circular economy in the construction industry, one of the challenges is the lack of a standardised assessment framework and methods to measure circularity at the product level. To support a more sustainable and circular construction industry through robust and enhanced scenario analysis, this paper integrates probabilistic analysis into the coupled assessment framework; this research addresses uncertainties associated with multiple criteria and diverse stakeholders in the construction industry to enable more robust decision-making support on both circularity and sustainability performance. By demonstrating the application in three real-world MMC products, the proposed framework offers a novel approach to simultaneously assess the circularity and sustainability of MMC products with robustness and objectiveness. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_07850 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Probabilistic Multi-Criteria Decision-Making for Circularity Performance of Modern Methods of Construction Products Meng, Yiping Cavalaro, Sergio Osmani, Frozan Dizaye Mohamed Numerical Analysis Applications The construction industry faces increasingly more significant pressure to reduce resource consumption, minimise waste, and enhance environmental performance. Towards the transition to a circular economy in the construction industry, one of the challenges is the lack of a standardised assessment framework and methods to measure circularity at the product level. To support a more sustainable and circular construction industry through robust and enhanced scenario analysis, this paper integrates probabilistic analysis into the coupled assessment framework; this research addresses uncertainties associated with multiple criteria and diverse stakeholders in the construction industry to enable more robust decision-making support on both circularity and sustainability performance. By demonstrating the application in three real-world MMC products, the proposed framework offers a novel approach to simultaneously assess the circularity and sustainability of MMC products with robustness and objectiveness. |
| title | Probabilistic Multi-Criteria Decision-Making for Circularity Performance of Modern Methods of Construction Products |
| topic | Numerical Analysis Applications |
| url | https://arxiv.org/abs/2504.07850 |